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Record W2136104403 · doi:10.1126/science.1258522

Highly evolvable malaria vectors: The genomes of 16 <i>Anopheles</i> mosquitoes

2014· article· en· W2136104403 on OpenAlexaff
Daniel E. Neafsey, Robert M. Waterhouse, Mohammad Reza Abai, Sergey Aganezov, Max A. Alekseyev, James E. Allen, James Amon, Bruno Arcà, Peter Arensburger, Gleb N. Artemov, Lauren A. Assour, Hamidreza Basseri, Aaron Berlin, Bruce W. Birren, Stéphanie Blandin, Andrew I. Brockman, Thomas R. Burkot, Austin Burt, Clara S. Chan, Cédric Chauve, Joanna C. Chiu, Mikkel Christensen, Carlo Costantini, Victoria L M Davidson, Elena Deligianni, Tania Dottorini, Vicky Dritsou, Stacey B. Gabriel, Wamdaogo M. Guelbéogo, A. Brantley Hall, Mira Han, Thaung Hlaing, Daniel Hughes, Adam M. Jenkins, Xiaofang Jiang, Irwin Jungreis, Evdoxia G. Kakani, Maryam Kamali, Petri Kemppainen, Ryan Kennedy, Ioannis Kirmitzoglou, Lizette L. Koekemoer, Njoroge Laban, Nicholas Langridge, Mara Lawniczak, Manolis Lirakis, Neil F. Lobo, Ernesto Lowy, Robert M. MacCallum, Chunhong Mao, G. Maslen, Charles Mbogo, Jennifer B. McCarthy, Kristin Michel, Sara N. Mitchell, Wendy Moore, Katherine A. Murphy, Anastasia N. Naumenko, Tony Nolan, Eva Maria Novoa, Samantha M. O’Loughlin, Chioma Oringanje, Mohammad Ali Oshaghi, Nazzy Pakpour, Philippos Aris Papathanos, Ashley Peery, Michael Povelones, Anil Prakash, David P. Price, Ashok Rajaraman, Lisa J. Reimer, David C. Rinker, Antonis Rokas, Tanya L. Russell, N’Falé Sagnon, Maria V. Sharakhova, Terrance Shea, Felipe A. Simão, Frédéric Simard, Michel A. Slotman, Pradya Somboon, V. N. Stegniy, Cláudio J. Struchiner, Gregg W.C. Thomas, Marta Tojo, Pantelis Topalis, José M. C. Tubío, Maria Unger, John Vontas, Catherine Walton, Craig S. Wilding, Judith H. Willis, Yi-Chieh Wu, Guiyun Yan, Evgeny M. Zdobnov, Xiaofan Zhou, Flaminia Catteruccia, George K. Christophides, Frank H. Collins, Robert S. Cornman, Andrea Crisanti, Martin J. Donnelly, Scott Emrich, Michaël C. Fontaine, William M Gelbart, Matthew W. Hahn, Immo A. Hansen, Paul Howell, Fotis C. Kafatos, M. Kellis, Daniel Lawson, Christos Louis, Shirley Luckhart, Marc A. T. Muskavitch, José M. C. Ribeiro, Michael A. Riehle, Igor V. Sharakhov, Zhijian Tu, Laurence J. Zwiebel, Nora J. Besansky

Bibliographic record

VenueScience · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInvertebrate Immune Response Mechanisms
Canadian institutionsSimon Fraser University
FundersNational Institute of Allergy and Infectious DiseasesNational Human Genome Research InstituteAgence Nationale de la RechercheNational Institute of General Medical SciencesWellcome Trust
KeywordsBiologyGenomeAnophelesEvolutionary biologyGeneMalariaVector (molecular biology)GeneticsIntronEntomologyZoology

Abstract

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INTRODUCTION Control of mosquito vectors has historically proven to be an effective means of eliminating malaria. Human malaria is transmitted only by mosquitoes in the genus Anopheles , but not all species within the genus, or even all members of each vector species, are efficient malaria vectors. Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. RATIONALE This variation in vectorial capacity suggests an underlying genetic/genomic plasticity that results in variation of key traits determining vectorial capacity within the genus. Sequencing the genome of Anopheles gambiae , the most important malaria vector in sub-Saharan Africa, has offered numerous insights into how that species became highly specialized to live among and feed upon humans and how susceptibility to mosquito control strategies is determined. Until very recently, similar genomic resources have not existed for other anophelines, limiting comparisons to individual genes or sets of genomic markers with no genome-wide data to investigate attributes associated with vectorial capacity across the genus. RESULTS We sequenced and assembled the genomes and transcriptomes of 16 anophelines from Africa, Asia, Europe, and Latin America, spanning ~100 million years of evolution and chosen to represent a range of evolutionary distances from An. gambiae , a variety of geographic locations and ecological conditions, and varying degrees of vectorial capacity. Genome assembly quality reflected DNA template quality and homozygosity. Despite variation in contiguity, the assemblies were remarkably complete and searches for arthropod-wide single-copy orthologs generally revealed few missing genes. Genome annotation supported with RNA sequencing transcriptomes yielded between 10,738 and 16,149 protein-coding genes for each species. Relative to Drosophila, the closest dipteran genus for which equivalent genomic resources exist, Anopheles exhibits a dynamic genomic evolutionary profile. Comparative analyses show a fivefold faster rate of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses in Anopheles . Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. We also document evidence of variation in important reproductive phenotypes, genes controlling immunity to Plasmodium malaria parasites and other microbes, genes encoding cuticular and salivary proteins, and genes conferring metabolic insecticide resistance. 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. CONCLUSIONS Anopheline mosquitoes exhibit a molecular evolutionary profile very distinct from Drosophila , and their genomes harbor strong evidence of functional variation in traits that determine vectorial capacity. These 16 new reference genome assemblies provide a foundation for hypothesis generation and testing to further our understanding of the diverse biological traits that determine vectorial capacity. Geography, vector status, and molecular phylogeny of the 16 newly sequenced anopheline mosquitoes and selected other dipterans. The maximum likelihood molecular phylogeny of all sequenced anophelines and two mosquito outgroups was constructed from the aligned protein sequences of 1085 single-copy orthologs. Shapes between branch termini and species names indicate vector status and are colored according to geographic ranges depicted on the map.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.210
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations616
Published2014
Admission routes1
Has abstractyes

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