Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes.

Science
Authors
Daniel Neafsey
Robert Waterhouse
Mohammad Abai
Sergey Aganezov
Max Alekseyev
James Allen
James Amon
Bruno Arcà
Peter Arensburger
Gleb Artemov
Lauren Assour
Hamidreza Basseri
Aaron Berlin
Bruce Birren
Stephanie Blandin
Andrew Brockman
Thomas Burkot
Austin Burt
Clara Chan
Cedric Chauve
Joanna Chiu
Mikkel Christensen
Carlo Costantini
Victoria Davidson
Elena Deligianni
Tania Dottorini
Vicky Dritsou
Stacey Gabriel
Wamdaogo Guelbeogo
Andrew Hall
Mira Han
Thaung Hlaing
Daniel Hughes
Adam Jenkins
Xiaofang Jiang
Irwin Jungreis
Evdoxia Kakani
Maryam Kamali
Petri Kemppainen
Ryan Kennedy
Ioannis Kirmitzoglou
Lizette Koekemoer
Njoroge Laban
Nicholas Langridge
Mara Lawniczak
Manolis Lirakis
Neil Lobo
Ernesto Lowy
Robert MacCallum
Chunhong Mao
Gareth Maslen
Charles Mbogo
Jenny McCarthy
Kristin Michel
Sara Mitchell
Wendy Moore
Katherine Murphy
Anastasia Naumenko
Tony Nolan
Eva Novoa
Samantha O'Loughlin
Chioma Oringanje
Mohammad Oshaghi
Nazzy Pakpour
Philippos Papathanos
Ashley Peery
Michael Povelones
Anil Prakash
David Price
Ashok Rajaraman
Lisa Reimer
David Rinker
Antonis Rokas
Tanya Russell
N'Fale Sagnon
Maria Sharakhova
Terrance Shea
Felipe Simão
Frederic Simard
Michel Slotman
Pradya Somboon
Vladimir Stegniy
Claudio Struchiner
Gregg Thomas
Marta Tojo
Pantelis Topalis
José Tubio
Maria Unger
John Vontas
Catherine Walton
Craig Wilding
Judith Willis
Yi-Chieh Wu
Guiyun Yan
Evgeny Zdobnov
Xiaofan Zhou
Flaminia Catteruccia
George Christophides
Frank Collins
Robert Cornman
Andrea Crisanti
Martin Donnelly
Scott Emrich
Michael Fontaine
William Gelbart
Matthew Hahn
Immo Hansen
Paul Howell
Fotis Kafatos
Manolis Kellis
Daniel Lawson
Christos Louis
Shirley Luckhart
Marc Muskavitch
José Ribeiro
Michael Riehle
Igor Sharakhov
Zhijian Tu
Laurence Zwiebel
Nora Besansky
Keywords
Animals
Humans
Base Sequence
Molecular Sequence Data
Sequence Alignment
Evolution, Molecular
Phylogeny
Genome, Insect
Insect Vectors
Drosophila
Malaria
Anopheles
Chromosomes, Insect
Abstract

Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.
Year of Publication
2015
Journal
Science
Volume
347
Issue
6217
Pages
1258522
Date Published
2015 Jan 02
ISSN
1095-9203
URL
DOI
10.1126/science.1258522
PubMed ID
25554792
PubMed Central ID
PMC4380271
Links
Grant list
R01 AI080799 / AI / NIAID NIH HHS / United States
R01 AI050243 / AI / NIAID NIH HHS / United States
U54 HG003067 / HG / NHGRI NIH HHS / United States
R01 AI095842 / AI / NIAID NIH HHS / United States
G1100339 / Medical Research Council / United Kingdom
R21 AI101459 / AI / NIAID NIH HHS / United States
U41 HG007234 / HG / NHGRI NIH HHS / United States
R01 AI073745 / AI / NIAID NIH HHS / United States
SC1 AI109055 / AI / NIAID NIH HHS / United States
R01 AI063508 / AI / NIAID NIH HHS / United States
R56 AI107263 / AI / NIAID NIH HHS / United States
R01 AI076584 / AI / NIAID NIH HHS / United States
092654 / Wellcome Trust / United Kingdom
U19 AI089686 / AI / NIAID NIH HHS / United States
U19 AI110818 / AI / NIAID NIH HHS / United States
R01 AI104956 / AI / NIAID NIH HHS / United States

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