Total number of cases in India
Total number of cases in the World
Last updated on IST
new cases today
active cases in total
[+]
recovered cases
[+]
deaths
Click and drag in the plot area to zoom in
Pinch the chart to zoom in
Tap on any label to show/hide its respective line
Swipe the table left or right to read more
Tap on any state row to view its district data
| State | Total | Active | Tot Recvrd | Tot Deaths | Recvrd % | Death % | Cases % |
|---|---|---|---|---|---|---|---|
| District | Confirmed |
|---|---|
Last updated on GMT
new cases today
active cases in total
recovered cases in total
died today
deaths in total
Click and drag in the plot area to zoom in
Pinch the chart to zoom in
Tap on any label to show/hide its respective line
countries affected
Swipe the table left or right to read more
| Country | Total | Active | Tot Recvrd | Tot Deaths | Recvrd % | Death % | Cases % | Tot tests | Tests/ 1M pop |
|---|---|---|---|---|---|---|---|---|---|


Trust Your Gut
In the tail end of 2018, I built a prototype for a robot photographer. The goal was for it to one day serve as a photographer’s stunt double, so that photojournalists won’t always have to put themselves in danger’s way in chaotic zones.
The further vision was to repurpose the robot to assist in search and rescue missions.
Advisors: “Our city is a very peaceful place. No one’s ever gonna need your product here.”
Then I also built a rescue app. It’s a modernized emergency dispatch system for cases where 999 (911 in the US) calls are just not feasible. The app is blockchain-powered, which means it’s fast and more secure.
Advisors: “Why would I need this when I could just call 999?”
Such negative, old-fashioned feedback.
Did I let that stop me from building things? No, I just stopped listening to “advisors.”
The moral of the story is that it’s OK to trust our gut instincts and build whatever we believe are worth building. If nothing else, the experience alone is priceless.


Norris curious: "See how close we can get to top team" in Brazil
by Nicolás Quarles van UffordWith just two races to go in the 2019 season, McLaren rookie Lando Norris is eager to find out how close his MCL34 is to the top three teams currently ahead of McLaren, as the Brit will race for the first time at Interlagos on Sunday.
Norris did complete FP1 for McLaren last season in Brazil, meaning he does have some on-track experience there, unlike some of the other drivers on the grid.
Coming off the back of the United States Grand Prix, in which the 19-year-old finished seventh in what was his last race as a teenager, he hopes to be part of an entertaining race in Brazil, as they have been in the past.
"It’s been the scene of some awesome races in the past, and I’m hoping for a good race of my own on Sunday," the rookie said when looking ahead to his first-ever Brazilian Grand Prix.
"FP1 last year gave me the opportunity to learn the track, but I’ve been working hard in the simulator to make sure I can maximise performance as soon as we get started on Friday."
Sitting in fourth place in the constructors' championship, McLaren have at times looked like they could challenge some of the top three teams, something which was unthinkable in previous seasons. Norris is eager to find out how they stack up at Interlagos.
“There’s still work to be done and we’ll be pushing hard in every session to see how close we can get to the top teams. They’re still a long way off and our nearest rivals are very close but I'm looking forward to some good racing."


Alabama
Alaska
American Samoa
Arizona
Arkansas
Armed Forces Europe
Armed Forces Pacific
Armed Forces the Americas
California
Colorado
Connecticut
Delaware
District of Columbia
Federated States of Micronesia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Marshall Islands
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Northern Mariana Islands
Ohio
Oklahoma
Oregon
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virgin Islands, U.S.
Virginia
Washington
West Virginia
Wisconsin
Wyoming
ComboBox test
Scroll to the bottom to find the ComboBox control
ComboBox


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Serves 2
Cut the red pepper in half, remove the seeds and top, and place on an oven tray. Drizzle the red pepper with olive oil and bake in a hot oven until brown on the top. Remove from the oven and place in a bowl while still hot and cover with cling film to allow cooling.
Peel the skin off the cooled pepper and dice the flesh, then mix with the balsamic vinegar, olive oil, seasoning and finely chopped fresh rosemary. Place in the microwave for about 30 seconds to warm up and then press peppers and potatoes into some 5cm/2in stainless steel rings. Top this with some grated cheese and place under a hot grill to brown the top.
Place a small pile of lettuce on the middle of the plate and the ring of potato and cheese on the top, remove the stainless steel ring. Spoon a pile of the tapenade on top of the cheese. Chop some fresh basil and add into the dressing.
Check for seasoning again and spoon around the edge of the plate and serve.


Frame Analysis¶
Frame Analysis¶
- class
feastruct.fea.frame_analysis.
FrameAnalysis
(nodes, elements, nfa)[source]¶Bases:
feastruct.fea.fea.FiniteElementAnalysis
Parent class for a frame analysis.
Includes a method for analysis initiation and a method for adding a frame element to the analysis.
Variables:
- nodes (list[
Node
]) – Nodes used in the finite element analysis- elements (list[
FrameElement
]) – Elements used in the finite element analysis- nfa (list[bool]) – Node freedom arrangement
__init__
(nodes, elements, nfa)[source]¶Inits the FrameAnalysis class.
Parameters:
- nodes (list[
Node
]) – List of nodes with which to initialise the class- elements (list[
FrameElement
]) – List of elements with which to initialise the class- nfa (list[bool]) – Node freedom arrangement
create_element
(el_type, nodes, material, section)[source]¶Creates and returns a frame element and adds it to the
Frame
object. Refer to ‘xxx’ for the possible element types.
Parameters: Returns: FrameElement object
Return type:
FrameElement
create_node
(coords)¶Creates a node and adds it to the Fea object.
Creates and returns a
Node
object and adds it to theFea
object.
Parameters: coords (list[float]) – Cartesian coordinates of the node ([x], [x, y] or [x, y, z]) Returns: Node object Return type: Node
get_node_lims
()¶Finds and returns the minimum and maximum x, y and z values within the current analysis.
Returns: (xmin, xmax, ymin, ymax, zmin, zmax) Return type: tuple(float)
Frame Analysis2D¶
- class
feastruct.fea.frame_analysis.
FrameAnalysis2D
(nodes=None, elements=None)[source]¶Bases:
feastruct.fea.frame_analysis.FrameAnalysis
Parent class for a 2D frame analysis.
Includes a method for analysis initiation and a method for adding 2D frame elements to the analysis.
Active degrees of freedom are [x, y, rz] and are referred to as [0, 1, 5].
Variables:
- nodes (list[
Node
]) – Nodes used in the finite element analysis- elements (list[
FrameElement
]) – Elements used in the finite element analysis- nfa (list[bool]) – Node freedom arrangement
- post (
feastruct.post.post2d.PostProcessor
) – Post-processor object
__init__
(nodes=None, elements=None)[source]¶Inits the FrameAnalysis2D class.
Parameters:
- nodes (list[
Node
]) – List of nodes with which to initialise the class- elements (list[
FrameElement
]) – List of elements with which to initialise the class
create_element
(el_type, nodes, material, section)¶Creates and returns a frame element and adds it to the
Frame
object. Refer to ‘xxx’ for the possible element types.
Parameters: Returns: FrameElement object
Return type:
FrameElement
create_node
(coords)¶Creates a node and adds it to the Fea object.
Creates and returns a
Node
object and adds it to theFea
object.
Parameters: coords (list[float]) – Cartesian coordinates of the node ([x], [x, y] or [x, y, z]) Returns: Node object Return type: Node
get_node_lims
()¶Finds and returns the minimum and maximum x, y and z values within the current analysis.
Returns: (xmin, xmax, ymin, ymax, zmin, zmax) Return type: tuple(float)
Frame Analysis3D¶
- class
feastruct.fea.frame_analysis.
FrameAnalysis3D
(nodes=None, elements=None)[source]¶Bases:
feastruct.fea.frame_analysis.FrameAnalysis
Parent class for a 3D frame analysis.
Includes a method for analysis initiation and a method for adding 3D frame elements to the analysis.
Active degrees of freedom are [x, y, z, rx, ry, rz] and are referred to as [0, 1, 2, 3, 4, 5].
Variables:
- nodes (list[
Node
]) – Nodes used in the finite element analysis- elements (list[
FrameElement
]) – Elements used in the finite element analysis- nfa (list[bool]) – Node freedom arrangement
__init__
(nodes=None, elements=None)[source]¶Inits the FrameAnalysis3D class.
Parameters:
- nodes (list[
Node
]) – List of nodes with which to initialise the class- elements (list[
FrameElement
]) – List of elements with which to initialise the class
create_element
(el_type, nodes, material, section)¶Creates and returns a frame element and adds it to the
Frame
object. Refer to ‘xxx’ for the possible element types.
Parameters: Returns: FrameElement object
Return type:
FrameElement
create_node
(coords)¶Creates a node and adds it to the Fea object.
Creates and returns a
Node
object and adds it to theFea
object.
Parameters: coords (list[float]) – Cartesian coordinates of the node ([x], [x, y] or [x, y, z]) Returns: Node object Return type: Node
get_node_lims
()¶Finds and returns the minimum and maximum x, y and z values within the current analysis.
Returns: (xmin, xmax, ymin, ymax, zmin, zmax) Return type: tuple(float)


--- layout: post title: 'LIFT 2008: Web and enterprises' date: 2008-02-08 00:00:00 categories: business digital-media interfaces-&-interaction social software-development ---
David Sadigh on user retention:
Intentional targeting: identifying search terms used to reach your site, and using these terms to inform the content of your site. e.g. displaying a family photo on a holiday site, if the visitor has reached it by searching for "family holidays in Italy".
It's not just about click-through, it's about sales.
What else can we use for personalising and targeting? Weather, stock market, time of day. On smaller screens, personalisation isn't a nice-to-have, it's essential (I'd say this might be true but doesn't logically follow).
David Marcus (Zong) on new business models enabled by mobile:
Today 1.3bn internet users, 3.2bn mobile users. Every second in China 4 babies are born, and they get 25 new mobile subscribers.
Much more content is sold on mobile than on the Internet. Why? Content isn't sold online, advertising is the model. Mobile is more commercial: Kanye West single is £0.79p on iTunes for the full track, or £3.50 for the ringtone.
Web and mobile are 2 different worlds. Advertising on cellphones won't work (Blyk might disagree). For web, one build ensures universal access. For mobile you have porting issues, carrier deals to distribute, etc.
It's traditionally been web people vs carriers. iPhone has changed things by inserting Apple into the value chain to take percentages of revenue. It also provides a route for mobile content (sync with desktop) that avoids over-the-air network use.
Qik: live streaming from mobile to web
2.3bn SMS messages will be sent this year.
Monetisation opportunities: mostly it's around building traffic then monitising it. What other examples?
All examples of mobile as a billing mechanism, no?
Kevin Marks of Google on OpenSocial
Going to talk about the thinking behind OpenSocial, rather than details: the social cloud.
We consider the Internet a cloud because we don't want to think about wires, cables and routers. It lets us activate a SEP field on these things. The younger generation sees the internet as oxygen, already there.
[Shows XKCD map of the social software world.]
Kids only use email to talk to The Man. Instead their social network identity or blog is them. Lots of URLs aren't documents, they're people. Social Graph API lets you expose the "me" and "friend" links between sites. New social software expects you to import all those old relationships. With the API, this can be automated.
Data, friends, activities drawn together (oooh) into clouds. OpenSocial maps the differences between these clouds away, so we don't have to worry about them.
Relationships: XFN proscribes 13 different relationship types, but it's more complicated than that. For instance, people don't break friend links on a site, except in the case of a messy breakup. At some point people get fed up with this and dump the identity, creating a new one: deliberately destroying profile and retaining plausible deniability.
[Shows map of relationships in Jane Austins Pride & Prejudice]
Douglas Adams: "you can't trust what people say to you on the web, any more than you can trust what people tell you using megaphones or in restaurants".
Our brains spend a lot of time and space dealing with social politics.
Francois Grey of CERN on grid computing and what it means for society and the web:
Web is changing the way science is carried out by enabling millions of citizens with no scientific training to contribute meaningfully, through volunteer computing.
Big event of 2008 may be the Large Hadron Collider being switched on: the largest producer of scientific data on the planet: 40m images/second, 15m GB of data/year. 100k CPU grid analysing it - SETI@home had 500k CPUs. Folding@Home got >1 petaflop of processing; it's been preloaded onto PS3s by Sony!
"Summer students are the power behind all scientific progress" :)


{% extends "base.html" %} {% load i18n %} {% block content %}
{% trans "You are about to borrow a book." %}
If you want, you can add a message to the owner. This step is not necessary.


It was the best of times, it was the worst of times. |
The diving was incredible! More see life than any other place I've been. White tip reef sharks swarmed everywhere. |
It was the best of times, it was the worst of times. |
The diving was incredible! More see life than any other place I've been. White tip reef sharks swarmed everywhere. |


GOT7 reveals lyric teasers featuring members JB, Jinyoung, Yugyeom, and Jackson ahead of 'You Calling My Name' comeback
by sl278GOT7 is piquing interest and anticipation with their latest sophisticated teaser images for comeback album 'You Calling My Name'.
The group has revealed their most recent teaser images featuring members JB, Yugyeom, Jinyoung, and Jackson that show them posing elegantly in suits. In addition, lyric teasers have also been posted, giving fans a sneak peek at what the songs might sound like!
Check the teasers out below!


Module tabletrack
tabletrack
A module to help transparently track table accesses.
Usecase: renaming a core structure and every field inside it for a large codebase. Hence this utility was created to track every access, as well as catching potential typos in fieldnames.
Limitation: the implementation is limited by the possibilities of
intercepting __index
and __newindex
meta-methods. And hence not every
access might initially be caught.
Info:
- Copyright: 2018 Thijs Schreijer
- License: MIT
- Author: Thijs Schreijer
Functions
| get_trace (opts) | Retuns a single line stack-trace. |
| parse_file (filename) | parses a log file with data into a Lua table structure. |
| track_access (t, opts) | enables tracking table access. |
| track_type (mt, opts) | Track a type, by tracking its metatable. |
Functions
- get_trace (opts)
-
Retuns a single line stack-trace.
Call this from the tracker callback function to get the proper stacktrace.
Parameters:
- opts the options table
Returns:
-
a single line stacktrace string
- parse_file (filename)
-
parses a log file with data into a Lua table structure.
It only parses the format as generated by the default callback.
Parameters:
- filename (optional) the name of the logfile to parse (default “./table_tracker_output”)
Returns:
-
table with the parsed results
- track_access (t, opts)
-
enables tracking table access.
Parameters:
- t table to track access to
- opts table with options
Returns:
-
t, the table to track
Usage:
local t = track_access({}, { name = "t-name", -- table name as a unique identifier, default: tostring(t) cb = function(opts, type, key) -- callback on access -- opts = options table -- type = access type: "get", "set", "exists" -- key = the key being accesses end, proxy = nil, -- using a proxy drops iterators, but catches more full_trace = nil, -- full stack track, or only the last call -- options for the default callback: filename = "./tabletrack.stats.out" -- filename where to store the data })
- track_type (mt, opts)
-
Track a type, by tracking its metatable.
Same as track_access except that in this case the metatable is provided,
such that all instances using this metatable will be tracked.
Parameters:
- mt the metatable whose instances to track
- opts table with options, see track_access
Returns:
-
the metatable


defStruct/2
defStruct/2 – specify an abstract data type
FORMS
:- defStruct(TypeID, Equations).
DESCRIPTION
Used as a directive to specify an abstract datatype. TypeID is an atom functioning identifying the type. Equations is a list of equality statements of the form:
Left = Right
where the left component of the equality statements must be one of:
propertiesList
accessPred
setPred
makePred
structLabel
The right sides of equality statements are Prolog terms whose structure
depends on the left side entry. The right side corresponding to propertiesList is a list of atoms which are the symbolic names of the properties or slots of
the structure being defined. For all of the rest of the equality statements,
the right side is a single atom.
accessPred The name of the ternary (3-argument) predicate to be used for accessing the
values of the slots in the structure. Calls on a generated accessPred take the
form
<accessPred>(<slotname>, <Structure>, Value)
setPred The name of the ternary (3-argument) predicate to be used for setting or
changing the values of the slots in the structure. Calls on a generated accessPred
take the form
<setPred>(<slotname>, <Structure>, Value)
makePred The name of the unary predicate used for obtaining a fresh structure of the
defined type.
structLabel The name of the functor of the structure defined.
propertiesList A list of slot specifications, as follows:
an atom, which is the name of the particular slot, or
an expression of the form
SlotName/Term,
where SlotName is an atom serving as the name of this slot, and Term is an arbitrary Prolog term which is the default value of this particular
slot, or
an include expression which is a term of the form
include(File, Type)
where File is a path to a file, and Type is the name of a defStruct which appears in that file; if File can be located, and if the defStruct Type appears in File, the elements of propertiesList for Type are interpolated at the point where the include expression occurred; include expressions may be recursively nested. [Note: Relative paths in recursive
includes must be valid from the directory in which the defStruct directive was
invoked.]
EXAMPLES
:- defStruct(windows,
[
propertiesList =
[windowName, % name of the window
windowNum, % assigned by window sys
borderColor/blue, % for color displays
borderType/sing, % single or double lines
uLR, uLC, % coords(Row,Col) of
% upper Left corner
lRR, lRC, % coords(Row,Col) of
% lower Right corner
fore/black, % foreground/background
back /white % text attribs
],
accessPred = accessWI,
setPred = setWI,
makePred = makeWindowStruct,
structLabel = wi
]
).
Then:
...,makeWindowStruct(WIN),
...,setWI(windowName,WIN,foo),
...,accessWI(borderColor,WIN,BColor),...


If you're reading this it's too late. Welcome to my very first website! Glad you could join me. Looking forward to updating this as my skills improve over the next several months, but for now bear with me.
A little more about me... I currently work at Sony PlayStation on their TV streaming product called PlayStation Vue. I'm a business owner of a feature called Megaphone that sends in-app messages to our current customers. I work with network partners like HBO and Disney to help promote their content on our service. I decided to take this bootcamp to move over to the more techincal side of the business. Fingers crossed!


The battle over the future of the Internet is a power grab that pits well-heeled lobbyists, corrupt legislators, phony front groups and the world’s most powerful telecommunications companies against the rest of us — the millions of Americans who use the Internet every day, in increasingly inventive ways.
Policymakers are public officials, and it’s their job to serve the public interest. You can play an important role by helping spread the word about Net Neutrality, meeting face to face with elected officials and urging them to protect the open Internet.
You can start by urging the Senate to stand up for Net Neutrality.
There are 3 comments below.
Post your comment
I disagree with this and that, but I very much like turumbeer and turumbar...
Doo bi doo bi, dee dee daa! It's in our own interest. Therefore I fully support it! And not only but also tralari. To say the least.
Awesome story, I do like it very much. Are you planning to write another chapter?


com.johnsnowlabs.nlp.annotators.param.AnnotatorParam
Workaround json4s issue of DefaultFormats not being Serializable in provided release
Workaround json4s issue of DefaultFormats not being Serializable in provided release


Bradley Holbrook
Bradley is a college instructor and a cloud application engineer and loves the Muppets.
Bradley is a college instructor and a cloud application engineer and loves the Muppets.
This is a dude.  Who is operating a computer. A thumbs up rings like a trumpet defiantly through the air. He whispers underneath his breath. "The repo has finally been pulled."


GStreamer(1) GStreamer(1) NAME gst-xmllaunch - build and run a GStreamer pipeline from an XML serializa‐ tion SYNOPSIS gst-xmllaunch [OPTION...] XML-FILE [ ELEMENT.PROPERTY=VALUE ... ] DESCRIPTION gst-xmllaunch is a tool that is used to build and run a basic GStreamer pipeline, loading it from an XML description. You can produce the XML description using gst-launch-0.10(1) with the -o option or by calling gst_xml_write_file() in your own app. A simple commandline looks like: gst-xmllaunch my-pipeline.xml filesrc0.location=music.mp3 This sets the location property of the element named filesrc0 to the value "music.mp3". See gst-launch(1) for syntax on setting element names, and gst-inspect to see what properties various elements have. You can pass "-" as the XML-FILE to read from stdin. XML-FILE can be a URI as well, thanks to the wizardry of libxml. I'm not really sure what all is supported, it seems http works just fine though. WARNING gst-xmllaunch is deprecated and broken for all but the most simple pipe‐ lines. It will most likely be removed in future. Don't use it. OPTIONS gst-xmllaunch accepts the following options: --help Print help synopsis and available FLAGS --silent Do not output status information --exclude=TYPE, -XTYPE Do not output status information of TYPE --output=FILE, -oFILE Save XML representation of pipeline to FILE and exit --gst-info-mask=FLAGS GStreamer info flags to set (list with --help) --gst-debug-mask=FLAGS GStreamer debugging flags to set (list with --help) --gst-mask=FLAGS GStreamer info and debugging flags to set (list with --help) --gst-plugin-spew GStreamer info flags to set Enable printout of errors while load‐ ing GStreamer plugins --gst-plugin-path=PATH Add directories separated with ':' to the plugin search path SEE ALSO gst-feedback(1), gst-inspect(1), gst-launch(1), gst-typefind(1) AUTHOR The GStreamer team at http://gstreamer.freedesktop.org/ March 2001 GStreamer(1)


{% extends 'base.html' %} {% block head_title %}Help: FAQ{% endblock head_title %} {% block page_title %}Help: FAQ{% endblock page_title %} {% block content %}
CodaLab is a web-based interactive computing environment that allows researchers to share and interact with code, data, and worksheets, and to participate in online competitions. CodaLab is organized around worksheets and competitions. worksheets provide reproducibility and can be reused as building blocks for future worksheets. Competitions provide a structured workflow that allows CodaLab users to compete for rewards as they improve algorithms in their fields of specialization.
CodaLab is free and open-source (you can get the source code on Github).
CodaLab is aimed at researchers, scientists, and other professionals who want to further technology in their fields by hosting and/or participating in algorithm competitions, and by creating and collaborating in online worksheets.
A competition consists of data for training and evaluating algorithms, and a program to evaluate participant results. CodaLab competitions provide an opportunity for researchers, developers and algorithmists to create solutions for problems across a wide range of domains, and advance the state of the art for their respective areas of interest.
A worksheet is a special web page that lets you combine executable code (Python), text, mathematics, graphs and rich media all in the same document. CodaLab worksheets enable collaborative computational research to be done in an efficient and reproducible manner. By providing modularity, live execution, and inline annotation of code with rich explanations, CodaLab enables you to quickly sketch ideas and collaborate with fellow community members.
Each worksheet is organized as a directed acyclic graph of basic worksheets. A basic worksheet is a single step in the experimental workflow (e.g. split data into two sets, compute mean value of data, and then classify data into categories). Each basic worksheet has input data, an algorithm and the results it produces. The results of one basic worksheet can be input data to another basic worksheet. By chaining these basic worksheets together it is possible to create complex experimental workflows.
The CodaLab platform is built using Python, Django and Foundation.
Yes, you can host a CodaLab instance on a Windows Azure server. Some customization is possible as well. For more information, see Deploying CodaLab.
You will be prompted to create a user account on your first visit.
If you like to write code and want to get involved with the CodaLab project, see How to Contribute.


Wolbachia are endosymbionts found in many insects with the potential to suppress vectorborne diseases, particularly through interfering with pathogen transmission. Wolbachia strains are highly variable in their effects on hosts, raising the issue of which attributes should be selected to ensure that the best strains are developed for disease control. This depends on their ability to suppress viral transmission, invade host populations, persist without loss of viral suppression and not interfere with other control strategies. The potential to achieve these objectives is likely to involve evolutionary constraints; viral suppression may be limited by the ability of infections to spread due to deleterious host fitness effects. However, there are exceptions to these patterns in both natural infections and in novel associations generated following interspecific transfer, suggesting that pathogen blockage, deleterious fitness effects and changes to reproductive biology might be at least partly decoupled to achieve ideal infection attributes. The stability of introduced Wolbachia and its effects on viral transmission remain unclear, but rapid evolutionary changes seem unlikely. Although deliberate transfers of Wolbachia across species remain particularly challenging, the availability of strains with desirable attributes should be expanded, taking advantage of the diversity available across thousands of strains in natural populations.
There is currently a high level of interest in using Wolbachia to indirectly suppress the incidence of vectorborne human diseases such as malaria, dengue fever or filariasis (McGraw and O'Neill 2013 ; Sinkins 2013 ; Bourtzis et al. 2014 ), or plant diseases caused by mosaic viruses and other disease agents (Box 1). Wolbachia are endosymbiotic bacteria living in all orders of insects and in other invertebrates. They are often promoted as a ‘natural’ way of manipulating insect hosts, in contrast to other approaches for manipulating vector biology, particularly through genetic modification, that are often regarded with suspicion because they involve novel constructs that are not present in the environment with the potential to spread to other nonvector species. While Wolbachia are already widespread in the environment, they are restricted to living exclusively within host cells and spread by changing the biology of their host species (O'Neill et al. 1997 ).
| Human disease vectors
|
|
|---|---|
| Mosquitoes | Target pathogens |
| Aedes aegypti | Viruses: dengue, yellow fever, chikungunia, zika, West Nile Nematodes: filarial, mermithid |
| Aedes albopictus | Viruses: dengue, chikungunia, Eastern equine encephalitis, La Crosse, West Nile, Japanese encephalitis Nematodes: filarial |
| Aedes polynesiensis | Viruses: zika, dengue, Ross River Nematodes: filarial |
| Culex pipiens species complex | Viruses: West Nile, Eastern equine encephalitis, Venezuelan equine encephalitis, Japanese encephalitis, St. Louis encephalitis, Ross River, Murray Valley encephalitis, Rift valley Nematodes: filarial |
| Anopheles stephensi | Malaria parasites |
| Plant disease vectors
|
|
|---|---|
| Planthoppers | Target pathogens |
| Laodelphax striatellus | Viruses: barley yellow striate mosaic, Northern cereal mosaic, maize rough dwarf, rice stripe tenuivirus, rice black-streaked dwarf, wheat chlorotic streak |
| Nilaparvata lugens | Viruses: rice ragged, grassy stunt |
| Pests
|
|
|---|---|
| Moths | Hosts |
| Ephestia kuehniella | Grains, flour |
| Ostrinia scapulalis | Beans |
| Cadra cautella | Grains, dried fruits |
| Fruit flies | Hosts |
|---|---|
| Ceratitis capitata | Fruits |
| Rhagoletis cerasi | Fruits |
| Bactrocera oleae | Olive fruits |
Wolbachia can be used in a variety of ways for disease suppression, by decreasing the size of a vector population through (i) the release of Wolbachia-infected males that are incompatible with females (O'Connor et al. 2012 ) or (ii) the invasion of a Wolbachia strain that produces deleterious fitness effects particularly under seasonally variable environments (Rašić et al. 2014a ), and particularly by (iii) decreasing the ability of the vector population to transmit diseases through the invasion of a Wolbachia strain that interferes directly with transmission (Teixeira et al. 2008 ; Kambris et al. 2009 ; Moreira et al. 2009 ; Walker et al. 2011 ). The third option is considered particularly promising because it may not require ongoing management by health authorities; once a Wolbachia strain blocking disease transmission has invaded a target vector population by altering host reproduction, the Wolbachia strain should stay at a high frequency in that population without further releases being required (Hoffmann et al. 2011 ). It is also important to note that the three strategies are not mutually exclusive but rather complementary.
Despite the promise held by Wolbachia-based disease suppression programmes particularly for viral diseases spread by mosquito vectors (Box 1), there are still substantial challenges in their widespread deployment. In particular, strains of Wolbachia for release need to be carefully selected and evaluated to ensure long-term viability of the strategy in the face of ongoing evolutionary changes, and to meet any regulatory and community concerns. In this study, we focus on these issues, using information that has been collected on insects naturally infected with Wolbachia and on artificial introductions of Wolbachia into new hosts. We consider the development of strains and host backgrounds that combine desirable attributes for disease suppression with those required for rapid invasion into target vector populations, as well as the likely long-term evolutionary stability of effects generated by Wolbachia in these populations. Much of the information we discuss comes from research in Drosophila species where Wolbachia infections have been investigated within an evolutionary and ecological context since the early 80s, and where a large number of infections have been transferred across species to investigate the interaction and evolution of host and Wolbachia genomes.
There is an enormous diversity of Wolbachia strains in nature. DNA sequence data have been used to demonstrate the presence of multiple Wolbachia variants within the same individual host, the presence of variation among Wolbachia sequences collected from different conspecific individuals, and molecular changes in the same Wolbachia infection when it is transferred to different host species. Most molecular comparisons have focussed on describing variation in Wolbachia infections across related species to characterize patterns of horizontal and vertical transmission of infections across time (e.g. Bing et al. 2014 ; Morrow et al. 2014 ), using sets of conserved primers for a series of genes such as the MLST set (Baldo et al. 2006 ). Many studies have used primer sets to demonstrate variation in Wolbachia strains within the same host. An example of a species carrying a complex of infections is the tsetse fly, where 37 different Wolbachia variants have been identified (Symula et al. 2013 ). Numerous Wolbachia strains have also been identified in mosquitoes of the Culex pipiens species complex (Atyame et al. 2011 ; Morningstar et al. 2012 ) where they (rather than the nuclear background) largely control patterns of cytoplasmic incompatibility (Duron et al. 2006 ). Variability among Wolbachia within the same host could arise through recombination and mutation (Klasson et al. 2009 ; Atyame et al. 2011 ), and a new Wolbachia strain could spread if it has a selective advantage and/or generates patterns of cytoplasmic incompatibility or other changes to host reproduction that favour its spread. Horizontal transmission of Wolbachia across hosts such as mediated through a parasitoid could also result in the introduction of a new Wolbachia strain into a host population. Once new Wolbachia strains arise, they can displace existing strains at a rapid rate, as indicated by the replacement of wAu by wRi in Australian populations of Drosophila simulans (Kriesner et al. 2013 ), but these types of replacements are thought to occur very rarely (Richardson et al. 2012 ).
The majority of Wolbachia stains have undescribed effects, having been detected in organisms via molecular tools (Hilgenboecker et al. 2008 ; Ahmed et al. 2013 ) and not further studied experimentally. Many of these strains may well have little impact on their host, but nevertheless persist because of a high fidelity of vertical transmission from mothers to offspring. Such infections with no apparent phenotypic effects on hosts have been described in Drosophila species (e.g. Hoffmann et al. 1996 ). Other Wolbachia strains are likely to have dramatic effects on their host; the most widespread of these effects is cytoplasmic incompatibility, where Wolbachia presence leads to the death of embryos and sometimes immature offspring when infected fathers mate with uninfected mothers (or mothers carrying a different Wolbachia strain). There are also Wolbachia infections that cause the death of male offspring only (male killers) and others that lead to parthenogenetic reproduction in haplodiploid organisms or feminization of male offspring (reviewed in O'Neill et al. 1997 ). Even when Wolbachia appear to have no phenotypic effects on their host's reproduction, they might nevertheless have other effects that only become evident once appropriate host challenges are provided; for instance, the viral blocking activity of Wolbachia strains only became apparent once infected Drosophila strains were challenged with RNA viruses (Teixeira et al. 2008 ; Hedges et al. 2008 , Osborne et al. 2009 ).
Wolbachia effects exerted on hosts typically fall along a continuum; for instance, cytoplasmic incompatibility can range from complete (all offspring die) as in the case of many Wolbachia infections from mosquitoes (e.g. Rasgon and Scott 2003 ), to relatively weak (a small proportion of offspring die) as in the case of particular Drosophila infections (e.g. Reynolds et al. 2003 ). Moreover, the effects of Wolbachia on hosts can change markedly depending on environmental conditions and the age of the insect. Factors, such as the presence of natural antibiotics (Clancy and Hoffmann 1998 ; Lu et al. 2012 ), temperature extremes (Mouton et al. 2007 ; Bordenstein and Bordenstein 2011 ), the age of the male and female (Unckless et al. 2009 ; Tortosa et al. 2010 ) and interactions among these factors (Mouton et al. 2007 ; Bordenstein and Bordenstein 2011 ), can all influence the density of Wolbachia in host tissues and host effects such as cytoplasmic incompatibility.
Wolbachia density often varies substantially among individuals under field conditions (e.g. Ahantarig et al. 2008 ). This variation could potentially influence the transmission, fitness effects and expression of cytoplasmic incompatibility, which has been characterized in detail in Drosophila populations where variability in cytoplasmic incompatibility is high (e.g. Turelli and Hoffmann 1995 ) and in Culex populations where the variability is low (Rasgon and Scott 2003 ). However, it is not clear whether the variability reflects Wolbachia/host genomic variation or environmentally induced variation that might only have a temporary effect on density and host phenotypes. For instance, when the wHa infection in D. simulans was tested in multiple host lines derived from the field, variation in the ovarian density of the Wolbachia infection among host lines was maintained for several generations, but was eventually lost (Correa and Ballard 2012 ). Therefore, while experimental studies might indicate a clear correlation between Wolbachia density and cytoplasmic incompatibility/deleterious effects (e.g. Clancy and Hoffmann 1998 ), it is not clear whether density variation is necessarily linked to variation in the Wolbachia genome. Recently, a group of Wolbachia genes associated with density variation (the Octomom region) has been identified in the wMelPop strain of D. melanogaster (Chrostek and Teixeira 2015 ) and might provide candidates for affecting density in field samples.
A substantial number of Wolbachia strains have now been transferred through microinjection across species boundaries, particularly in the genus Drosophila, but also across genera within and among insect orders (Table 1 , Appendix S1). Successful Wolbachia transfers can be challenging, although those involving Drosophila species have been undertaken for some time and have become fairly routine (e.g. Poinsot et al. 1998 ; Charlat et al. 2002 ). Cross-infection experiments where Wolbachia are artificially transferred from one species to another have demonstrated (particularly in Drosophila) that host effects associated with a particular Wolbachia strain can persist or be modified after transfer to a new host (e.g. Ikeda et al. 2003 ; Osborne et al. 2012 ; Veneti et al. 2012 ).
Stable Wolbachia infections in native and transinfected hosts, their reproductive effects (CI – cytoplasmic incompatibility, MT – maternal transmission), fitness effects, and viral blocking effectiveness where demonstrated (? – information unavailable). Effect size is denoted as: high (>90%), moderate/partial (20–90%), low (<20%) and none (no detectible effects). More details are found in Appendix S1
| Strain | NATIVE HOST | CI | MT | Fitness cost | Viral blockage | TRANSFECTED HOST | CI | MT | Fitness cost | Viral blockage |
|---|---|---|---|---|---|---|---|---|---|---|
| wMel | Drosophila melanogaster 1 | Partial * , 1,2 none 3 | Partial 4 | None 5,6 some benefits 3,7 | High 8 moderate 9,10 low 8,9,10,11 none 8 | Aedes aegypti 12 | High 12 | High 12 | Low 12,13 | High 12 moderate 14,15 low 14 |
| Ae. albopictus 16 | High 16 | High 16 | None 17 | High 16,17 | ||||||
| D. simulans 18 | High 18 | High 18 | ? | Moderate 19,20 | ||||||
| wMelPop | D. melanogaster 21 | Partial * , 22 none 21,23 | High 24 | High † , 21,22,24 | High † , 10,25 | Ae. aegypti 26 | High 26,27 | High 26,27 | High 26,27,28,29 | High 14,15,30 moderate 30 |
| Ae. albopictus 31 | Low 31 | Partial 31 | High 31 | ? | ||||||
| D. simulans 23 | High * , 23,24,32 | High 23,24,32 | High/attenuated 23,32 | ? | ||||||
| wAu | D. simulans 33 | None 33 | High 33 | None 33 | High 19,20 | D. melanogaster 34 | Low/none 34 | High ‡ , 34 | Moderate 35 | High 35 |
| wMelCS | D. melanogaster 36 | Low * , 2 none 37 | ? | Moderate 10 none 35,38 | Moderate 10,25 | D. simulans 20 | ? | ? | ? | High 20 |
| wInn | D. innubila 39 | Male killing 39 | High 39 | Some benefits 40 | Low 40 | D. simulans 41 | None 41 | High 41 | Some benefits 41 | None 41 |
| D. melanogaster 41 | None 41 | Partial 41 | Some benefits 41 | ? | ||||||
| wRi | D. simulans 42 | Partial * , 42 | High 43 partial 44 | Low 43 attenuated 45 | Moderate 19 low 19 | Ae. albopictus 46,47 | High 46 | High 46 | ? | ? |
| D. melanogaster 48 | Low 48 | Partial 48 | ? | ? | ||||||
| D. serrata 49 | High 49 | High 49 | ? | ? | ||||||
| D. yakuba complex 50 | High 50 | High 50 | ? | ? | ||||||
| Laodelphax striatellus 51 | High 51 | Partial 51 | ? | ? | ||||||
| wAlbB | Ae. albopictus 52 | High 53,54,55 | High 56 | None 57 some benefits 54,55 | Low 17,58,59 | Ae. aegypti 60,61 | High 60 partial 61 | High 60 partial 61 | Moderate § none 60 | High 62 |
| Ae. polynesiensis 63 | High 63 | High 63 | Moderate 63 | Moderate 64 | ||||||
| wPip | Culex pipiens complex 65,66 | High 67 | High 67 | Low 68 none 67 | Low 8 | Ae. albopictus 69 | High 69 | High 69 | Low 69 none 70 | ? |
1Hoffmann ( 1988 ); 2Reynolds and Hoffmann ( 2002 ); 3Fry et al. ( 2004 ); 4Hoffmann et al. ( 1998 ); 5Harcombe and Hoffmann ( 2004 ); 6Montenegro et al. ( 2006 ); 7Fry and Rand ( 2002 ); 8Glaser and Meola ( 2010 ); 9Teixeira et al. ( 2008 ); 10Chrostek et al. ( 2013 ); 11Rances et al. ( 2012 ); 12Walker et al. ( 2011 ); 13Hoffmann et al. ( 2014a ); 14van den Hurk et al. ( 2012 ); 15Hussain et al. ( 2013 ); 16Blagrove et al. ( 2012 ); 17Blagrove et al. ( 2013 ); 18Poinsot et al. ( 1998 ); 19Osborne et al. ( 2009 ); 20Martinez et al. ( 2014 ); 21Min and Benzer ( 1997 ); 22Reynolds et al. ( 2003 ); 23McGraw et al. ( 2001 ); 24Carrington et al. ( 2009 ); 25Hedges et al. ( 2008 ); 26McMeniman et al. ( 2009 ); 27Yeap et al. ( 2011 ); 28McMeniman and O'Neill ( 2010 ); 29Turley et al. ( 2009 ); 30Moreira et al. ( 2009 ); 31Suh et al. ( 2009 ); 32Carrington et al. ( 2010 ); 33Hoffmann et al. ( 1996 ); 34Yamada et al. ( 2011 ); 35Chrostek et al. ( 2014 ); 36Solignac et al. ( 1994 ); 37Holden et al. ( 1993 ); 38Serga et al. ( 2014 ); 39Dyer and Jaenike ( 2004 ); 40Unckless and Jaenike ( 2011 ); 41Veneti et al. ( 2012 ); 42Hoffmann et al. ( 1986 ); 43Hoffmann et al. ( 1990 ); 44Turelli and Hoffmann ( 1995 ); 45Weeks et al. ( 2007 ); 46Xi et al. ( 2006 ); 47Fu et al. ( 2010 ); 48Boyle et al. ( 1993 ); 49Clancy and Hoffmann ( 1997 ); 50Zabalou et al. ( 2004 ); 51Kang et al. ( 2003 ); 52Sinkins et al. ( 1995 ); 53Dobson et al. ( 2001 ); 54Dobson et al. ( 2004 ); 55Dobson et al. ( 2002 ); 56Kittayapong et al. ( 2002 ); 57Calvitti et al. ( 2009 ); 58Mousson et al. ( 2012 ); 59Mousson et al. ( 2010 ); 60Xi et al. ( 2005 ); 61Ruang-Areerate and Kittayapong ( 2006 ); 62Bian et al. ( 2010 ); 63Andrews et al. ( 2012 ); 64Bian et al. ( 2013a ); 65Hertig and Wolbach ( 1924 ); 66Yen and Barr ( 1973 ); 67Rasgon and Scott ( 2003 ); 68de Almeida et al. ( 2011 ); 69Calvitti et al. ( 2010 ); 70Moretti and Calvitti ( 2013 ).
High for one day old males, but decreases rapidly with increasing male age;
increases with higher Octomom copy numbers (Chrostek and Teixeira 2015 );
inferred based on routine propagation of transinfected lines without loss of infection over time;
unpublished work by J Axford and AA Hoffmann.
The marked changes in cytoplasmic incompatibility and other reproductive effects, as well as host fitness effects, are typified by the wAu infection and lack of fitness effects in its native host but life shortening following transfer to D. melanogaster (Chrostek et al. 2014 ), and the absence of male killing when Wolbachia from Drosophila innubila are transferred to D. melanogaster and D. simulans (Veneti et al. 2012 ). As another example, wCauA causes cytoplasmic incompatibility in its native host, Cadra cautella (Sasaki and Ishikawa 1999 ), but when transferred to Ephestia kuehniella, it causes male killing (Sasaki et al. 2002 ) (see Appendix S1). There are also several other instances where shifts in cytoplasmic incompatibility occur when Wolbachia from one host are transferred to a different species within the same genus (e.g. Boyle et al. 1993 ), and clearly, viral interference will also depend on host effects as reflected by the limited blockage provided by wAlbB in its native Ae. albopictus host compared to strong blockage when this infection is transferred to Ae. aegypti (Bian et al. 2010 ) and other examples (Table 1 , Appendix S1).
With many thousands of Wolbachia strains existing in nature and interacting with host genomes and local environments in different ways, Wolbachia could be used in a variety of ways for disease control strategies aimed at suppressing vector populations and directly interfering with disease transmission. Some important transfers of Wolbachia to disease vectors have now been achieved, including transfers of Wolbachia from Drosophila to Aedes mosquitoes for the production of vectors that exhibit shortened lifespan (McMeniman et al. 2009 ) and suppression of RNA viruses and other disease agents (Kambris et al. 2009 ; Moreira et al. 2009 ; Walker et al. 2011 ). In addition, there have been successful transfers of Wolbachia from Aedes albopictus to Aedes aegypti to achieve virus suppression (Xi et al. 2005 ; Bian et al. 2010 ). These transfers capture a tiny fraction of the vast diversity of Wolbachia strains available in natural populations of insects related to mosquitoes. Yet, they are already raising questions about how Wolbachia strains and host backgrounds might be developed for disease suppression.
Different strain attributes are required by the three strategies that use Wolbachia to reduce disease transmission. The simplest requirement is for population suppression via male release where the main attribute is for released males to exhibit strong cytoplasmic incompatibility when they mate with field females. Released males also need to be competitive with males from natural populations. Competitive ability could be reduced if Wolbachia in the release strain directly reduces male competitive fitness and/or if the host nuclear background of the release strain has a detrimental effect on male field competitiveness. At least for Ae.aegypti carrying the wMel or wMelPop infection, there is no evidence that Wolbachia directly reduces male competitive fitness (Segoli et al. 2014 ), while Ae. polynesiensis carrying Wolbachia are also competitive in field releases (O'Connor et al. 2012 ). Detrimental host nuclear effects might develop if the release strain evolves and becomes adapted to conditions used for artificial rearing. This can be circumvented through backcrossing the release strain to field-sourced material prior to releases taking place, although it may then be more difficult to rear the strain under the artificial conditions if adaptation has taken place. Male competitiveness also needs to be high for successful Wolbachia strategies involving invasion (that utilize deleterious fitness effects and viral interference) because strong cytoplasmic incompatibility is required to drive the infection into a target population. In addition, several other attributes will be required for invasion-based strategies.
To produce disease suppression by interfering with pathogen transmission or expressing deleterious fitness effects, Wolbachia strains need to invade and reach high frequencies in focal populations. In Wolbachia strains that have so far been introduced into Ae. aegypti populations, cytoplasmic incompatibility has been complete or nearly complete with uninfected target populations (Xi et al. 2005 ; McMeniman et al. 2009 ; Walker et al. 2011 ; Yeap et al. 2011 ), facilitating invasions. As long as there are no substantial deleterious effects of the Wolbachia on the hosts and as long as the infection is transmitted with a relatively high fidelity, invasion should be possible under strong cytoplasmic incompatibility. However, if a focal population is already infected with a Wolbachia strain that shows bidirectional incompatibility with the release strain, invasion becomes more difficult. Under bidirectional incompatibility between two Wolbachia strains with equivalent deleterious effects on a host, the infection frequency of an introduced strain has to exceed 50% to achieve invasion (Hoffmann and Turelli 1997 ).This situation applies to the wMel infection introduced into Ae. albopictus (Table 1 ) which is bidirectionally incompatible with the naturally occurring Wolbachia of this species (Blagrove et al. 2012 ). Invasion will also depend on other fitness attributes such as the ability of females carrying the Wolbachia strain to feed and locate breeding sites and the ability of larvae with the Wolbachia strain to compete against other conspecific larvae and other species.
For effective suppression of vectorborne diseases (strategy (iii) from above), Wolbachia strains will need to directly interfere with pathogen transmission in vector species. In Aedes mosquitoes, this has often been assessed in laboratory-based assays where blood is mixed with virus cultures to mimic titres that might be found in infected humans (Moreira et al. 2009 ). However, it is ideally assessed by feeding mosquitoes directly on blood from infected humans and assessing pathogens in tissue through which transmission occurs, such as the salivary glands and saliva of mosquitoes (Ferguson et al. 2015 ).
The ability of Wolbachia to block viruses and other microbes will depend on the nature of the viruses and the Wolbachia strains. In Drosophila, it appears that some types of viruses (DNA viruses in particular) are not affected by the presence of Wolbachia in host cells, whereas RNA viruses appear to be inhibited (Teixeira et al. 2008 ). The extent of inhibition varies dramatically between Wolbachia strains, such that some strains cause a dramatic reduction of the viral load in the host, whereas others have little impact (Table 1 ). In Aedes mosquitoes where stable Wolbachia infections have been established, the potential for Wolbachia to block different dengue virus serotypes and other RNA viruses seems to be high (Table 1 , Appendix S1). The wMelPop infection appears to be highly efficacious in blocking different dengue serotypes as well as other arboviruses, at least in laboratory-based assays (Moreira et al. 2009 ; van den Hurk et al. 2012 ). For other Wolbachia infections, particularly wMel and wAlbB, blockage against dengue serotypes also appears robust (Bian et al. 2010 ; Frentiu et al. 2014 ), but somewhat weaker than provided by wMelPop (Walker et al. 2011 ). Recent data for wMel feeding on blood from infected human patients also point to strong blockage of dengue in saliva but show some differences among serotypes (Ferguson et al. 2015 ).
Once a high frequency of infection is reached through releases and subsequent invasion driven by cytoplasmic incompatibility and other effects, Wolbachia effects on hosts and on viral transmission need to be stable, even if there are evolutionary changes in the virus and/or changes in the host's nuclear genome and Wolbachia genome. Data on the stability of Wolbachia effects following deliberate introductions are only just starting to emerge (Frentiu et al. 2014 ; Hoffmann et al. 2014a ), but there is some relevant information from natural Wolbachia infections in other systems and particularly in Drosophila (Chrostek et al. 2013 ). Strategies that utilize the deleterious host effects associated with Wolbachia infections (strategy ii from above) also require that such effects remain stable even when there might be strong selection in the host genome to counter them.
Evolution of host genomes in response to Wolbachia is certainly possible and is dramatically illustrated by the changes that nullify male killing by a natural Wolbachia infection in the butterfly Hypolimnas bolina (Hornett et al. 2006 ). Other relevant sources of evidence for such changes include experimental populations and longitudinal studies of natural populations.
Phenotypic changes in the expression of Wolbachia effects due to changes in the host nuclear genome have been documented in experimental host populations maintained both with and without deliberate selection pressures. These include evidence for nuclear-based attenuation of wMelPop effects on longevity in D. melanogaster hosts (Carrington et al. 2009 ) and in the novel host D. simulans (Carrington et al. 2010 ). When the wMelPop infection was transferred from D. melanogaster to D. simulans, it initially caused large fitness effects such as reducing fecundity and decreasing longevity as in its native host (McGraw et al. 2002 ). However, these effects attenuated quickly (Reynolds et al. 2003 ), such that wMelPop-infected D. simulans eventually exhibited an increase in longevity in some genetic backgrounds (Carrington et al. 2010 ). In Ae. aegypti mosquitoes, host genome changes can cause a decrease in deleterious effects of the introduced wMelPop on egg viability (A. Callahan and A. A. Hoffmann, unpublished data). The impact of host nuclear genomic backgrounds on virus blocking by Wolbachia has not yet been systematically investigated within either Drosophila or mosquito species. However, because the upregulation of immune response genes seems to be restricted to recently transferred infections in mosquitoes rather than native infections, an eventual decrease in blockage might be expected, given the likely high cost of constitutive immune gene expression.
The deliberate release of Wolbachia infections into natural mosquito populations provides an opportunity to test for host nuclear responses in natural populations across a period of a few years. In particular, the release of wMel into uninfected Ae. aegypti populations in 2011 in two areas around Cairns, Australia (Hoffmann et al. 2011 ), provided an opportunity to monitor changes in both the viral interference effect and deleterious host effect across a three-year time span. These comparisons have indicated that dengue interference was not altered within this period (Frentiu et al. 2014 ) and neither were fitness effects of Wolbachia on its host (Hoffmann et al. 2014a ). Because there is ongoing gene flow into these populations as inferred from infection frequencies and a lack of maternal leakage (Hoffmann 2014 b), changes in the nuclear genome due to Wolbachia are only expected if selection is relatively strong.
Although the host genome can have a substantial effect on the expression of cytoplasmic incompatibility, deleterious effects and viral interference, it is not yet clear whether there will be rapid changes in the host genome that might affect the success of Wolbachia releases aimed at disease suppression. The most rapid host changes are expected in response to any deleterious effects induced by Wolbachia, whereas selection for altered effects of Wolbachia on viral interference should be weak unless the virus has a particularly large impact on host fitness (in which case selection would favour ongoing interference by Wolbachia). The host genome is therefore most likely to influence the success of a suppression strategy based on the expression of deleterious effects following invasion.
Evidence for possible changes in the Wolbachia genome comes from analysis of changes in laboratory and natural populations. In addition, the phenotypic effects associated with particular Wolbachia strains that are maintained following interspecific transfers (as in the case of the wMelPop infection following transfer from D. melanogaster to D. simulans and Ae. aegypti – Table 1 ) also point to effects on hosts mediated by the Wolbachia genome rather than the host genome.
It is still difficult to predict whether genomic changes in Wolbachia will be rapid enough to be detectable in experimental populations. For the virulent wMelPop infection, there have only been minor genomic changes since its introduction from D. melanogaster into the new host Ae. aegypti (Woolfit et al. 2013 ). On the other hand, in laboratory D. melanogaster populations, Octomom copy number seems to be able to evolve rapidly to alter the density of wMelPop (Chrostek and Teixeira 2015 ). There is also evidence from comparisons of conspecific populations of D. melanogaster that interactions between wMel Wolbachia and host genomes can evolve fairly rapidly (Olsen et al. 2001 ; Fry et al. 2004 ). The wRi infection of D. simulans is another such example (Weeks et al. 2007 ). The deleterious effects of this infection on female reproduction were first characterized in the late 1980s (Hoffmann et al. 1990 ). Twenty years on, such effects were no longer evident, and some infected females even showed a fecundity advantage over uninfected hosts, largely attributable to changes in wRi or another maternally inherited factor (Weeks et al. 2007 ).
These findings suggest that while there is ample evidence for variation in the Wolbachia genome resulting in multiple strains of Wolbachia occurring in the same host and/or conspecific individuals carrying different Wolbachia strains, it is not clear whether there will be rapid changes in Wolbachia strains being released for disease suppression. As in the case of host genome changes, any changes will most likely lead to Wolbachia strains that exert a reduced deleterious effect on their host, which might only indirectly influence viral interference.
While viruses evolve rapidly, changes in the virus genome in response to Wolbachia are largely unpredictable due to a lack of relevant background information and clarity around selective factors involved (Bull and Turelli 2013 ). Selection on viral resistance to the blocking effects of Wolbachia might be expected, particularly given that there are differences in the extent to which dengue serotypes are blocked by Wolbachia (Frentiu et al. 2014 ; Ferguson et al. 2015 ). However, only some types of interactions between Wolbachia and viruses (such as direct competition between viruses and Wolbachia) are expected to lead to evolutionary changes (Bull and Turelli 2013 ). Moreover, viral evolutionary dynamics are affected by a number of factors unconnected to Wolbachia that drive viral strain replacements (Vu et al. 2010 ; Lambrechts et al. 2012 ). Wolbachia and/or host genomes could also evolve in response to any changes in the virus, particularly if these affect the fitness of the vector host, although (at least in the case of dengue) viral effects on hosts remain unclear (Maciel-de-Freitas et al. 2011 ).
Even though Wolbachia can decrease transmission of many viral infections, its effects on others remain uncertain. A comparison of Wolbachia-infected and cured D. melanogaster strains and Culex quinquefasciatus strains suggested that Wolbachia might block West Nile virus (Glaser and Meola 2010 ). However, most Culex quinquefasciatus populations appear naturally infected with Wolbachia but are still capable of transmitting West Nile (Micieli and Glaser 2014 ). This may reflect the fact that Wolbachia densities in natural infections are too low to have much impact on transmission of this virus. On the other hand, in a recent study where Wolbachia from another mosquito were injected into Culex dorsalis females, the titre of West Nile virus increased (Dodson et al. 2014 ), although this may have been an effect of the infection process; the effect of Wolbachia on West Nile needs to be investigated in a host mosquito species carrying a stably introduced Wolbachia infection. In Spodoptera moths, Wolbachia may also increase susceptibility to a virus (Graham et al. 2012 ); infection by nucleopolydrovirus was associated with moths carrying different strains of Wolbachia, and laboratory tests with one of the Wolbachia strains (likely a male killer) indicated much higher mortality levels following the viral infection. Because nucleopolydrovirus is being explored as a potential biopesticide, this result might point to a potentially novel application of Wolbachia releases for pest control.
It is not yet clear whether Wolbachia-based strategies will be effective against microbes other than viruses. Wolbachia introduced into the major malaria vector Anopheles stephensi protects against Plasmodium to some extent (Bian et al. 2013b ), although perhaps insufficiently to provide much impact on disease transmission (Killeen et al. 2013 ). Moreover, it has been suggested that the presence of Wolbachia may even enhance the incidence of malaria pathogens to some extent (Zélé et al. 2014 ) although this requires further validation. In Drosophila, Wolbachia infections appear to have few consistent effects on bacterial infections (Wong et al. 2011 ), while in mosquitoes, it has been suggested that any effects on bacteria will depend on whether the immune system is upregulated following Wolbachia transfer (Ye et al. 2013 ).
Another issue relevant to disease transmission is the potential interaction between Wolbachia and pesticide susceptibility. For Ae. aegypti mosquitoes that are artificially infected with Wolbachia, the infection does not affect susceptibility to commonly used insecticides (Endersby and Hoffmann 2013 ). However, in Culex pipiens naturally infected with Wolbachia, there was rapid evolutionary increase of Wolbachia density in an insecticide-resistant line (Echaubard et al. 2010 ), suggesting a dynamic interaction between the Wolbachia and/or host genomes evolving under insecticide exposure.
Because most Wolbachia-transfected lines originate from few or just one female (Xi et al. 2005 ; McMeniman et al. 2009 ), Wolbachia invasions can cause a dramatic reduction of mitochondrial haplotype diversity within and among populations (H. L. Yeap and A. A. Hoffmann, unpublished data; Armbruster et al. 2003 ). There is a growing body of evidence linking the mitochondrial polymorphisms with differences in metabolic rate and some fitness components in Drosophila (e.g. Ballard et al. 2007 ; Kurbalija Novičić et al. 2015 ), suggesting that mitochondrial diversity in natural populations is maintained by natural selection. Mitochondrial variation might play an important role in the epistatic interaction between the mitochondrial and nuclear genomes in determining insect metabolic rate under varying environmental conditions (Arnqvist et al. 2010 ). It is therefore possible that the loss of mitochondrial diversity following Wolbachia invasion could affect the performance of infected populations.
Finally, the various Wolbachia effects on host fitness could change the size and age distribution of the mosquito larval community in containers (Mains et al. 2013 ). These effects in turn might influence interspecific interactions, particularly under high-density larval conditions when fitness differences between Wolbachia-infected strains and uninfected strains can become accentuated (Ross et al. 2014 ). These ecological effects of Wolbachia need to be evaluated following invasions into natural communities and could have a substantial effect on disease transmission if vector populations become suppressed due to the detrimental effects of Wolbachia infection. The most dramatic example involves the wMelPop infection of Ae. aegypti, which reduces the viability of eggs when held in a dried state (Yeap et al. 2011 ). During a dry season, this effect could result in the complete collapse of an isolated population until there is a reinvasion from another source (Rašić et al. 2014a ). Population cage experiments indicate that collapse is likely in populations that are completely Wolbachia-infected (S. Ritchie unpublished data).
It is possible that Wolbachia infections that provide the strongest blockage of pathogen transmission might not spread easily into populations (Fig. 1). This possibility arises because a high density of Wolbachia in hosts may increase viral blockage but decrease host fitness (Chrostek et al. 2013 ; Sinkins 2013 ; Martinez et al. 2014 ), and such a trade-off could have driven past cycles of Wolbachia strain replacements in natural populations. For instance, the wMel-CS strain in D. melanogaster which causes strong virus blockage (Table 1 ) may have been replaced with the wMel strain which causes weaker blockage but does not decrease longevity to the same extent in this host (Chrostek et al. 2013 ). Relevant information to explore the notion of such a trade-off comes from (i) comparisons of viral suppression, host fitness and Wolbachia density between infected hosts, (ii) inferences from natural populations and (iii) mechanistic understanding of the common basis of viral interference.
The first two principal components explaining 80.6% of total variation among Wolbachia strains in natural and transinfected hosts for the levels of: cytoplasmic incompatibility/male killing, maternal transmission, fitness costs and blockage of RNA viruses. Empty symbols denote natural Wolbachia infections, and filled symbols denote transinfections. Each infection attribute is ordered as: 0 (no effect), 1 (low), 2 (medium/partial) or 3 (high/full effect). Fitness cost has an additional value of −1 for infection effects that are somewhat beneficial. Twenty-one data points summarize values extracted from Table 1 . Overall effects in natural hosts seem different from those in transinfected hosts, and the effects are also virus-dependent. Colinearity between fitness cost and viral blockage suggest that there is a possible trade-off between these effects, such that strains with strong viral protection might be difficult to spread due to higher deleterious effects on the host. Exceptions to these patterns, ho wever, indicate that it may be possible to achieve a desirable combination of infection attributes, but more strains need to be tested.
Several authors have contrasted viral blockage (measured as survival/longevity following pathogen infection) in Wolbachia strains from Drosophila with effects on host fitness (mostly measured as longevity in the absence of the infection) and on cytoplasmic incompatibility (Table 1 ). These comparisons involve a relatively limited number of Wolbachia infections and a comparison of natural and introduced Wolbachia strains which may have different dynamics (Table 1 , Fig. 1). In D. simulans, where the largest number of comparisons have been made involving 19 strains, survival following RNA viral infection is positively correlated with Wolbachia tissue density, although there are strains with relatively high Wolbachia densities that have a limited impact on survival (Martinez et al. 2014 ). Any association between deleterious Wolbachia effects and viral blockage may also not be particularly strong. In a comparison of five Wolbachia strains including one from a non-native host ( D. melanogaster), the wAu infection caused the strongest blockage and had the highest density across tissues (Osborne et al. 2009 , 2012 ), yet this strain does not cause detectable cytoplasmic incompatibility or have deleterious fitness effects, and is also transmitted at a high fidelity under field conditions (Hoffmann et al. 1996 ).
The wMelPop infection was transferred from D. melanogaster to Ae. aegypti to generate a strain that has a reduced longevity and thereby a reduced propensity to transmit diseases requiring a long incubation period through older females (McMeniman et al. 2009 ). In subsequent experiments, this strain was shown to have very strong blockage of viral replication and disease transmission in laboratory assays (Moreira et al. 2009 ). However, the wMelPop infection also causes substantial fitness costs, not just to longevity but also for egg viability, particularly when eggs are in a quiescent stage (McMeniman and O'Neill 2010 ; Yeap et al. 2011 ). The wMelPop infection also has deleterious effects on larval development under crowded conditions (Ross et al. 2014 ) and on some adult traits (e.g. Turley et al. 2009 ). In contrast, the wMel infection causes somewhat weaker blockage of dengue and other viruses than wMelPop, but has fewer deleterious effects as well as having a lower titre in adults (Walker et al. 2011 ; Hoffmann et al. 2014a ).
The wMel infection was also transferred to Ae. albopictus where it causes strong blockage of chikungunya virus and dengue in laboratory assays, but has no apparent effects on longevity, hatch rates or other laboratory fitness parameters, despite generating strong cytoplasmic incompatibility (Blagrove et al. 2012 , 2013 ). The wAlbB infection that blocks the transmission of dengue viruses in Ae.aegypti (Xi et al. 2005 ; Bian et al. 2010 ) has deleterious fitness effects on its host including a decrease in the viability of quiescent eggs and a reduction in longevity, although these deleterious effects are weaker compared to those exerted by wMelPop (J. Axford, unpublished data). When the native wPolA infection in Ae. polynesiensis was replaced with wAlbB from Ae. albopictus, there was an increase in Wolbachia density and evidence of dengue blocking in this species (Bian et al. 2013a ), although it is not yet clear whether this transferred strain also produced deleterious fitness effects (Table 1 ).
Wolbachia density represents a complex phenotype, typically measured in three contexts: (i) whole body density, usually measured in newly eclosed adults; (ii) tissue specific density, focussing on heads, abdomens, ovaries, testes, salivary glands and so on; and (iii) age-specific (and life stage-specific) density, which can indicate whether Wolbachia continue to replicate when hosts have reached maturity or enter a quiescent phase. Changes in whole body density through exposure to low levels of antibiotics (usually tetracycline) typically reduce cytoplasmic incompatibility induced by Wolbachia, as demonstrated in the case of D. simulans (Clancy and Hoffmann 1998 ) and Nasonia wasps (Breeuwer and Werren 1993 ), and also reduce viral interference as shown for wAu in D. simulans (Osborne et al. 2012 ). These experimental data support the notion that differences in Wolbachia density can be linked to the expression of host effects and support the notion of a blocking/spread trade-off, particularly given that strain variation in Wolbachia density has a positive relationship to blockage in D. simulans as noted above (Martinez et al. 2014 ). However, the expression of strong cytoplasmic incompatibility in the Drosophila paulistorum species complex involves very low Wolbachia titres that can only be detected although nonconventional molecular methods (Miller et al. 2010 ), whereas high-density infections of other Drosophila species such as wAu (Osborne et al. 2012 ) have no detectable effects on cytoplasmic incompatibility or host fitness (Hoffmann et al. 1996 ). The effects of some infections can therefore be unconnected to their overall densities in hosts.
The tissue distribution of strains may influence pathogen blocking and host effects. For instance, the wRi and wHa infections in D. simulans are restricted mostly to gonadal tissues (Binnington and Hoffmann 1989 ; Correa and Ballard 2014 ), have mild deleterious effects (Hoffmann et al. 1990 ; Turelli and Hoffmann 1995 ) and cause mid- to low-level viral blockage (Osborne et al. 2009 ). On the other hand, the wAu and wMelPop infections may block pathogens effectively because they are found in a variety of tissues (Min and Benzer 1997 ; Osborne et al. 2012 ). In mosquitoes, Wolbachia presence in a variety of tissues through which a virus needs to pass to be transmitted may be crucial for generating strong transmission blockage; for instance, wMelPop which causes strong blockage is found in many tissues including the salivary glands of Ae. aegypti (Moreira et al. 2009 ). This feature seems particularly important for dengue viruses, where a density-dependent cellular relationship between Wolbachia and viral load has been reported (Lu et al. 2012 ).
Some Wolbachia infections attain higher densities at eclosion and replicate at a higher rate than others when hosts reach adulthood (Chrostek and Teixeira 2015 ), resulting in very high densities throughout the body as hosts age. While this high density might result in strong pathogen blockage, it could also eventually kill the host and limit the potential of such infections to spread. The reduced longevity of D. melanogaster infected by the wMelPop strain is thought to be due to ongoing replication and increasing density of this virus (Min and Benzer 1997 ), as is the reduction in longevity and increased mortality of quiescent eggs in Ae. aegypti artificially infected by wMelPop (McMeniman and O'Neill 2010 ; Yeap et al. 2011 ). Continued Wolbachia replication may also contribute to hybrid sterility in crosses between D. paulistorum semi-species (Miller et al. 2010 ).
The distribution of Wolbachia within hosts is expected to be altered due to evolutionary changes in the host and Wolbachia. The distribution of Wolbachia densities across tissues in long-standing infections is expected to become more variable if there is no evolution towards obligate relationship with the host (Correa and Ballard 2014 ). Strong cytoplasmic incompatibility with infected sperm should favour accurate transmission of an infection across generations, resulting in strong tissue tropism. However, for old infections where cytoplasmic incompatibility is weak (e.g. wMa in D. simulans), Wolbachia density in tissues is expected to be variable because selection pressures for accurate transmission are weak (Correa and Ballard 2014 ). Such evolutionary changes are expected to weaken any blocking/spread trade-off.
These examples provide some support for a possible relationship between viral blockage, deleterious host effects and Wolbachia density, but too few strains have so far been examined. Moreover, the Drosophila data suggest that it is possible to identify infected lines demonstrating strong blockage, strong cytoplasmic incompatibility and no apparent fitness effects on the host. However, it is not yet clear whether such lines can be developed from novel combinations of hosts and infections generated through artificial transfers of Wolbachia.
Although the potential benefits that hosts gain from pathogen blocking have so far only been demonstrated in laboratory tests (Chrostek et al. 2013 ), it seems likely that similar benefits will occur under field conditions. Recently, the wAu infection in D. simulans which causes strong viral blockage but no detectable cytoplasmic incompatibility (Hoffmann et al. 1996 ) has nevertheless been shown to increase rapidly in natural populations (Kriesner et al. 2013 ), suggesting that the infection provides a fitness advantage to its host which may include viral blocking. Another example is the wMel infection of D. melanogaster, which exhibits a stable cline in eastern Australia suggestive of selection (Hoffmann et al. 1994 ), but causes only partial cytoplasmic incompatibility in matings with young males (Reynolds et al. 2003 ). Given that this infection shows incomplete maternal transmission, it is hard to explain its persistence in D. melanogaster populations without assuming some sort of fitness benefit (Hoffmann et al. 1994 ). However, we still lack field data testing for a direct association between Wolbachia infection and natural viral load. If field strains exist that provide a fitness advantage under a high viral load but have few other effects on hosts, these would indicate that a blocking/spread trade-off can be avoided.
If the mechanisms involved in viral blockage, cytoplasmic incompatibility, and host fitness effects were understood, it might help in predicting likely interactions among Wolbachia effects. Viral blocking by Wolbachia seems to involve a number of subcomponents (Rances et al. 2013 ; Sinkins 2013 ). Part of the blockage may come from the upregulation of the immune system, as suggested by the increased expression of some immune response genes following recent Wolbachia transfers in mosquitoes (Kambris et al. 2009 ; Lu et al. 2012 ). However, cross-species transfers of Wolbachia do not necessarily lead to immune priming, as in the case of the experimental wAu infection of D. melanogaster (Chrostek et al. 2014 ). Other mechanisms have also been implicated, such as competition for resources such as cholesterol, interactions involving various metabolites, and the expression of microRNAs (Caragata et al. 2013 ; Zhang et al. 2013 ). Blockage mechanisms may be partly related to changes in the tissue distribution and density of Wolbachia particularly following transfer to a new host. For instance, native Wolbachia infections of Ae. albopictus have a relatively low density; the natural wAlbB infection of Ae. albopictus seems to cause some suppression of dengue and chikungunya viruses in its native host (Mousson et al. 2012 ). However, following transfer from Ae. albopictus into Ae. aegypti, the same infection develops a much higher density and blocking effect (Lu et al. 2012 ).
Overall, these different lines of evidence point to a complicated pattern of interaction between pathogen blockage, deleterious fitness effects and cytoplasmic incompatibility. Host effects are not necessarily tightly linked mechanistically or through density, and a trade-off between blockage and spread might exist when host effects are predominantly related to density, but might in other cases be circumvented (Fig. 1). The Drosophila data indicate that strains such as wAu with strong blockage, no deleterious effects, high densities and no cytoplasmic incompatibility exist in populations alongside strains such as wHa that cause strong cytoplasmic incompatibility, but no blockage or large deleterious effects. A range of infections with different combinations of attributes occur in natural populations, including strains that might exhibit relatively strong blockage while also being able to easily spread in the absence of over replication after eclosion, and a high density in reproductive tissues to ensure strong cytoplasmic incompatibility and high maternal transmission. Unfortunately, the same combination of attributes might not be maintained after such a strain is transferred to a target vector host. For example, the wMel infection causes weak cytoplasmic incompatibility in its native Drosophila host but complete cytoplasmic incompatibility once transferred to Ae. aegypti, which has been essential for its successful spread (Hoffmann et al. 2011 ). Similarly, the wAu infection has no detectable fitness effect in its native host D. simulans, but causes a sharp reduction in lifespan and exhibits exponential growth when transferred to D. melanogaster (Chrostek et al. 2014 ). Therefore, intra- and intergeneric transfers across host species have unexpected consequences that may affect the suitability of strains for disease suppression.
The successful invasion of Wolbachia infections will depend on the ecology of the host population. For example, if wMelPop is released into a host mosquito population where breeding sites lead to rapid egg hatch and where larvae develop under low densities, Wolbachia is more likely to invade. This is because the wMelPop infection does not strongly affect host viability and development time under low-density conditions and in the absence of dry conditions (McMeniman and O'Neill 2010 ; Yeap et al. 2011 ). On the other hand, there are development time and viability costs when wMelPop-infected mosquitoes are reared at a high density in competition with uninfected larvae (Ross et al. 2014 ). High-density conditions coupled with an extended period of dry season will raise costs and the threshold Wolbachia frequency required for a wMelPop invasion (Hancock et al. 2011 ; Yeap et al. 2014 ).
Areas of high mosquito density could be identified through factors such as housing characteristics, distribution of breeding containers and so on if this information is available from past surveys. Such information can be used to inform local invasion rates (Hoffmann et al. 2014b ) and potential pockets where uninfected mosquitoes might persist and require additional treatment. Local knowledge of the ecology of mosquito populations should be used to inform release strategies; for instance, breeding containers that fill only occasionally after rain may need to be treated to remove sources of uninfected mosquitoes.
Release programmes also need to take into account expected movement patterns of mosquitoes and variation in host density across the region. Information on natural movement patterns from mark-release experiments or genetic analyses of local populations (e.g. Harrington et al. 2005 ; Olanratmanee et al. 2013 ) can provide a picture of likely movement patterns. By characterizing thousands of SNP markers, a much higher level of resolution of population structure can be obtained, and the movement of related individuals across a region can also be followed (Rašić et al. 2014b ).
Wolbachia invasion into an isolated uninfected population of a target host only occurs if Wolbachia frequencies consistently exceed a particular frequency set by the size of the deleterious effects of Wolbachia on its host, levels of cytoplasmic incompatibility and to a lesser extent by the fidelity of maternal transmission (Hoffmann and Turelli 1997 ; Turelli 2010 ). If deleterious host effects associated with Wolbachia infections are too large, Wolbachia invasion into target host populations becomes difficult and high infection frequencies might not be sustained even if invasion succeeds. Invasion and persistence become increasingly unlikely if there is ongoing immigration of uninfected individuals into a relatively small release area (Barton and Turelli 2011 ) and if there are fitness effects of Wolbachia that decrease the size of the target population, making reinvasion by uninfected mosquitoes more likely (Rašić et al. 2014a ).
A benefit of releasing infections with at least some deleterious fitness effects is that infections are expected to remain contained within an area rather than spreading rampantly (Barton and Turelli 2011 ; Hancock and Godfray 2012 ). This prediction is consistent with field experience from wMel releases around Cairns, Australia, where wMel did not spread outside areas where they were released even though Wolbachia were occasionally detected in other areas (Hoffmann et al. 2011 , 2014b ). Spread only occurs relatively slowly through a continuous residential area and is likely to be stopped by barriers to movement and high-density areas occupied by uninfected mosquitoes (Barton and Turelli 2011 ; Hancock and Godfray 2012 ; Hoffmann et al. 2014b ). Spread is much easier to achieve when a large area with a high host density has been invaded and the surrounding area has a low density; an increase in host density outside the invaded zone can stop Wolbachia spread, particularly if the invasion point is high (Barton and Turelli 2011 ), as in the case of wMelPop (Yeap et al. 2011 ). Moreover, invasions might then fail to persist with a moderate influx of migrants into a population (Hancock et al. 2011 ).
Although the host fitness costs associated with Wolbachia infections could be used to suppress and even eradicate mosquito hosts in some isolated areas (Rašić et al. 2014a ), they provide challenges for the infection spreading in large and continuously distributed mosquito populations. So far, attempts to spread the high cost wMelPop infection into relatively isolated natural populations in Vietnam and northern Australia have failed, despite high release rates and some success in getting the infection to a high frequency (T. H. Nguyen, unpublished data). The wMelPop infection did successfully invade semi-field population cages, but only when release rates were high and sustained for many weeks (Walker et al. 2011 ). Several strategies could assist in spreading infections with high deleterious effects, such as through the suppression of host populations across all life stages just prior to release (Hoffmann 2014 ), through the release of male-biased sex ratios (Hancock et al. 2011 ) or through the use of pesticide resistance genes and application of pesticides during the release process (Hoffmann and Turelli 2013 ). These strategies should assist in introducing such infections into relatively isolated populations, but the infection is unlikely to spread further outside these areas (Barton and Turelli 2011 ).
Although the likely benefits and costs of Wolbachia-based strategies for disease suppression can be identified to some extent, the final strategy and strain adopted will also depend on community acceptance and regulatory approval. A challenge for Wolbachia releases aimed at invasion and replacement is that there will be a period of time when mosquito numbers are increased above background levels to ensure that the Wolbachia infection exceeds an invasion threshold. As long as there are no fitness costs associated with the infection, Wolbachia is expected to spread from a very low starting frequency (close to 0%) depending on stochastic factors, with a slow rate of spread initially (Jansen et al. 2008 ). This type of spread has been observed in natural infections of D. simulans where resident populations number in the millions (Kriesner et al. 2013 ). However, with a threshold frequency of around 20–30%, the wMel invasion into uninfected Ae. aegypti required releases across 10 weeks, at which time adult numbers increased by a factor of 1.5–2 (Hoffmann et al. 2011 ; Ritchie et al. 2013 ). The period of time and relative increase in mosquito numbers required will be greater if infections are costly, and/or if the release material has a relatively low fitness.
While a 1.5–2 fold increase in mosquito numbers might seem trivial, particularly when only one mosquito species is being targeted in release areas where several species are likely to co-occur, implementation of such a strategy can be challenging. In most countries where dengue is endemic and attributable to Ae. aegypti mosquitoes which breed around houses, communities are encouraged to decrease the availability of breeding sites, removing containers that might hold standing water, treating containers with chemicals, and perhaps fogging an entire area with pesticides. Such combined programmes can be effective in reducing mosquito densities (Erlanger et al. 2008 ), but often there is little impact on mosquito populations due to factors such as cryptic breeding sites that cannot be easily targeted (Heintze et al. 2007 ; Eisen et al. 2009 ). These strategies can also generate additional problems such as the evolution of pesticide resistance in hosts (Maciel-de-Freitas et al. 2014 ). Furthermore, there is often a poor correlation between measures of mosquito numbers and disease incidence (Bowman et al. 2014 ), making it difficult to justify such campaigns. Nevertheless, while education and engagement campaigns can help increase acceptance of Wolbachia releases (McNaughton and Huong 2014 ), communities may be reluctant to participate in Wolbachia release programmes and regulatory authorities may be reluctant to approve strategies where there is a deliberate increase in mosquito numbers over a period of time.
This issue becomes particularly important where the Wolbachia strains being introduced have high invasion thresholds and therefore require high release numbers across an extended period of time. For instance, wMelPop failed to invade isolated field populations despite releases across several months where frequencies exceeded 70% (T. H. Nguyen, unpublished data). Even when this infection invaded semi-field cages, it required more than 80 days before the infection reached fixation in one cage, despite a starting infection frequency of 65% (Walker et al. 2011 ). In contrast, infections such as wMel seem to invade quite readily, at least based on experience in Australia.
One of the advantages of Wolbachia releases is that they are not necessarily incompatible with other control programmes. For instance, during the 2011 release of wMel around Cairns, Australia, pesticides were applied by the health authorities to a residential block within the release site where a dengue case had been reported, and this did not inadvertently affect the local rate of increase of Wolbachia (Hoffmann et al. 2011 ). In this case, both the resident uninfected population of Ae. aegypti and the released mosquitoes did not contain appreciable levels of insecticide resistance. In contrast, in many communities where there has been widespread application of pyrethroids and other insecticides over some time, resistance levels in uninfected Ae. aegypti are expected to be high (Ranson et al. 2009 ). In such cases, insecticide application during the release could lead to a preferential removal of the infected released mosquitoes. However, it should be possible to minimize this issue by backcrossing infected release stock to the local genetic background of a target population with high insecticide resistance.
Finally, when there are community concerns about release numbers increasing above background levels, suppression of mosquitoes prior to starting releases could help to alleviate community concerns, as well as speeding up Wolbachia invasions by increasing the frequency of Wolbachia, and by producing vacant breeding sites for infected released females. In addition, it may be possible to release large numbers of nonbiting infected male mosquitoes to facilitate invasions when these males generate cytoplasmic incompatibility with uninfected mosquitoes (Hancock et al. 2011 ). Pesticide applications could also assist invasions if the release material carries a higher level of resistance than the resident population (Hoffmann and Turelli 2013 ). Although there is little risk that resistance alleles will spread to the uninfected resident populations as long as cytoplasmic incompatibility is complete and maternal transmission is high, this strategy is unlikely to be approved by regulators except in limited circumstances, for instance, where relevant genes are already present in a target population.
Selecting a suitable strain of Wolbachia for release is not a straightforward process, and involves a balance between minimizing fitness costs while maximizing cytoplasmic incompatibility and blockage of disease agents, as well as considering community and regulatory issues. It is not yet clear to what extent desirable strain qualities can be combined or whether there are trade-offs that limit the options available. It seems essential to create and test a number of Wolbachia infections for releases, despite the challenges associated with this exercise that require thousands of microinjections to achieve success (McMeniman et al. 2009 ; Bian et al. 2013b ). Nevertheless, there are many natural Wolbachia strains available within Diptera for potential introduction into disease vectors. Once a suitable strain has been identified, it will be necessary to monitor the long-term stability of the desirable effects because there may be further evolutionary changes in the host, Wolbachia and pathogen genomes that could modify Wolbachia effects, even though current data suggest they are relatively stable.
Additional Supporting Information may be found in the online version of this article:
Appendix S1. Stable Wolbachia infections produced through microinjection, their effects on host reproduction and fitness, and potential blocking effectiveness where demonstrated.


Just one in six Irish people now smoke but shocking report reveals 60% of us are obese
A quarter of smokers quizzed in the poll said the plain packaging and health warnings introduced in 2018 was a good motivation to quit
by Trevor QuinnJust one in six of us are now smokers with 165,000 fewer people puffing on the cancer sticks than there were five years ago, it has emerged.
But our bulging waistlines are still a major health worry with 60% of us in Ireland overweight or obese – the same obesity level as last year.
And the prevalence of smoking has dropped from 23% of the Irish population in 2015 to 17% this year according to the latest Healthy Ireland Survey.
A quarter of smokers quizzed in the poll said the plain packaging and health warnings introduced in 2018 was a good motivation to quit
And 40% of smokers insisted they have made an attempt to kick the habit during the the last 12 months, with health concerns being the prime motivator.
Minister for Health Simon Harris said: ”I welcome the findings of this year’s Healthy Ireland Survey, and in particular the continued drop in the smoking rate.
"This shows that our multi-pronged approach, with legislation, support for smoking cessation, and policies to denormalise smoking in our society, is bearing fruit and we are heading in the right direction to being a Tobacco Free Ireland.”
Other key survey findings revealed adults here get 7.1 hours sleep on an average weeknight, while 42% of carers reported they themselves have a long-standing illness or health problem.
Health Promotion Minister Catherine Byrne launched the annual Healthy Ireland Survey yesterday (Tue), which is funded by the Department of Health.
She said: “The levels of overweight and obesity in our population remains a great cause for concern.
“While levels appear to be stabilising, there is no room for complacency.
“In recent years Government has introduced evidence-based policies and a range of initiatives and actions to tackle both obesity and physical inactivity, and implementation of these remains a priority.
“This year’s survey shows a small increase in the number of people meeting the guidelines on physical activity, which is encouraging.”
“The findings from the 2019 Survey report will help us monitor how well our policies are working, as well as identifying ways we can better support people to be healthy.”
This year’s survey includes new areas of study including sleep and sun protection.
The new data on sun protection shows that 92% of participants report using some form of protection when exposed to the sun for more than 30 minutes, with sunscreen and sunglasses being the most commonly used forms of protection.
The 2019 Survey also contained a special report on parents and their health.
The findings found that parents generally rate their health as very good and are less likely (than non-parents) to report a long-standing illness or health problem
Mreanwhile, 63% of parents are overweight or obese, while 49% are achieving the recommended level of physical activity
Mums and dads who were quizzed reported getting an average of 6.9 hours sleep on a usual weeknight
Minister Byrne commented: “The survey shows us some encouraging findings about parents and their efforts to look after their families’ health, but also shows areas where we could better support parents and families to make healthier choices.”
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