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Genome analysis of a major urban malaria vector mosquito, Anopheles stephensi

Authors :
José M. C. Ribeiro
Maria V. Sharakhova
Marta Tojo
Phillip George
Scott J. Emrich
Robert M. Waterhouse
Xiaofang Jiang
Ryan C. Kennedy
Michael A. Riehle
Bo Wang
Chioma Oringanje
Kenneth D. Vernick
Victoria L.M. Davidson
A. Brantley Hall
Kristin Michel
Ashley Peery
Anthony A. James
Gareth Maslen
Shirley Luckhart
Robert E. Settlage
Nazzy Pakpour
Aleksey Komissarov
Yumin Qi
Zhijian Tu
Daniel Lawson
Igor V. Sharakhov
Xiao Guang Chen
Karin Eiglmeier
Maria F. Unger
Michelle M. Riehle
Shrinivasrao P. Mane
Jose M. C. Tubio
Yogesh S. Shouche
Atashi Sharma
Peter Arensburger
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Waterhouse, Robert
Department of Biochemistry [Blacksburg]
Virginia Tech [Blacksburg]
Program of Genetics, Bioinformatics, and Computational Biology [Blacksburg] (GBCB)
Department of Entomology [Blacksburg]
Department of Pathogen Biology
Southern Medical University [Guangzhou]
Department of Genetic Medicine and Development
University of Geneva Medical School
University of Geneva Medical School-University of Geneva Medical School
Swiss Institute of Bioinformatics [Genève] (SIB)
Computer Science and Artificial Intelligence Laboratory [Cambridge] (CSAIL)
Massachusetts Institute of Technology (MIT)
Broad Institute of MIT and Harvard (BROAD INSTITUTE)
Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]
Theodosius Dobzhansky Center for Genome Bioinformatics
St Petersburg State University (SPbU)
Institute of Cytology
Russian Academy of Sciences [Moscow] (RAS)
Department of Microbiology
University of Minnesota
University of Minnesota [Twin Cities] (UMN)
University of Minnesota System-University of Minnesota System-University of Minnesota [Twin Cities] (UMN)
University of Minnesota System-University of Minnesota System
National Center for Cell Science
Pune University
European Bioinformatics Institute [Hinxton] (EMBL-EBI)
EMBL Heidelberg
Department of Medical Microbiology and Immunology
University of California [Davis] (UC Davis)
University of California (UC)-University of California (UC)
Department of Biological Sciences [Pomona]
California State Polytechnic University [Pomona] (CAL POLY POMONA)
Division of Biology
Kansas State University
Génétique et Génomique des Insectes vecteurs
Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Department of Computer Science and Engineering
University of Notre Dame [Indiana] (UND)
Department of Bioengineering and Therapeutic Sciences
University of California [San Francisco] (UC San Francisco)
Virginia Bioinformatics Institute
Department of Entomology
University of Arizona
Department of Physiology, School of Medicine – CIMUS
Instituto de Investigaciones Sanitarias
Universidade de Santiago de Compostela [Spain] (USC )-Universidade de Santiago de Compostela [Spain] (USC )
The Wellcome Trust Sanger Institute [Cambridge]
Department of Biological Sciences [Notre Dame]
Vector Molecular Biology Section, Laboratory of Malaria and Vector Research
National Institutes of Health
Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry
University of California [Irvine] (UC Irvine)
Fralin Life Science Institute and the Virginia Experimental Station
NIH grants AI77680 and AI105575 to ZT, AI094289 and AI099528 to IVS, AI29746 to AAJ, AI095842 to KM, AI073745 toMAR, AI080799 and AI078183 to SL, and AI042361 and AI073685 to KDV.
AP and IVS are supported in part by the Institute for Critical Technology and Applied Science and the NSF award 0850198.
RMW is supported by Marie Curie International Outgoing Fellowship PIOF-GA-2011-303312.
XC is supported by GDUPS (2009).
This work was also supported in part by NSF grant CNS-0960081
This work was also supported in part the HokieSpeed and BlueRidge supercomputers atVirginia Tech.
YS thanks the Department of Biotechnology, Governmentof India for the financial support.
University of California-University of California
Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)
University of California [San Francisco] (UCSF)
University of California [Irvine] (UCI)
Source :
Genome Biology, BioMed Central Ltd, Genome biology, vol 15, iss 9, Genome Biology, Vol. 15, No 9 (2014) P. 459, Genome Biology, 2014, 15 (9), pp.459. ⟨10.1186/s13059-014-0459-2⟩, Genome Biology, BioMed Central, 2014, 15 (9), pp.459. ⟨10.1186/s13059-014-0459-2⟩, Jiang, X; Peery, A; Hall, AB; Sharma, A; Chen, XG; Waterhouse, RM; et al.(2014). Genome analysis of a major urban malaria vector mosquito, Anopheles stephensi. Genome biology, 15(9), 459. doi: 10.1186/s13059-014-0459-2. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/8hp3g527
Publication Year :
2014

Abstract

Background: Anopheles stephensi is the key vector of malaria throughout the Indian subcontinent and Middle East and an emerging model for molecular and genetic studies of mosquito-parasite interactions. The type form of the species is responsible for the majority of urban malaria transmission across its range. Results: Here, we report the genome sequence and annotation of the Indian strain of the type form of An. stephensi. The 221 Mb genome assembly represents more than 92% of the entire genome and was produced using a combination of 454, Illumina, and PacBio sequencing. Physical mapping assigned 62% of the genome onto chromosomes, enabling chromosome-based analysis. Comparisons between An. stephensi and An. gambiae reveal that the rate of gene order reshuffling on the X chromosome was three times higher than that on the autosomes. An. stephensi has more heterochromatin in pericentric regions but less repetitive DNA in chromosome arms than An. gambiae. We also identify a number of Y-chromosome contigs and BACs. Interspersed repeats constitute 7.1% of the assembled genome while LTR retrotransposons alone comprise more than 49% of the Y contigs. RNA-seq analyses provide new insights into mosquito innate immunity, development, and sexual dimorphism. Conclusions: The genome analysis described in this manuscript provides a resource and platform for fundamental and translational research into a major urban malaria vector. Chromosome-based investigations provide unique perspectives on Anopheles chromosome evolution. RNA-seq analysis and studies of immunity genes offer new insights into mosquito biology and mosquito-parasite interactions.<br />National Science Foundation (U.S.) (Grant CNS-0960081)

Details

Language :
English
ISSN :
14656906 and 1474760X
Database :
OpenAIRE
Journal :
Genome Biology
Accession number :
edsair.doi.dedup.....068589e6a29f9b46c1d7b2dcb6b35127
Full Text :
https://doi.org/10.1186/s13059-014-0459-2