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Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis

BACKGROUND: Anopheles sinensis is a major malaria vector in China and other Southeast Asian countries, and it is becoming increasingly resistant to the insecticides used for agriculture, net impregnation, and indoor residual spray. Very limited genomic information on this species is available, which...

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Autores principales: Zhu, Guoding, Zhong, Daibin, Cao, Jun, Zhou, Huayun, Li, Julin, Liu, Yaobao, Bai, Liang, Xu, Sui, Wang, Mei-Hui, Zhou, Guofa, Chang, Xuelian, Gao, Qi, Yan, Guiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070547/
https://www.ncbi.nlm.nih.gov/pubmed/24909924
http://dx.doi.org/10.1186/1471-2164-15-448
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author Zhu, Guoding
Zhong, Daibin
Cao, Jun
Zhou, Huayun
Li, Julin
Liu, Yaobao
Bai, Liang
Xu, Sui
Wang, Mei-Hui
Zhou, Guofa
Chang, Xuelian
Gao, Qi
Yan, Guiyun
author_facet Zhu, Guoding
Zhong, Daibin
Cao, Jun
Zhou, Huayun
Li, Julin
Liu, Yaobao
Bai, Liang
Xu, Sui
Wang, Mei-Hui
Zhou, Guofa
Chang, Xuelian
Gao, Qi
Yan, Guiyun
author_sort Zhu, Guoding
collection PubMed
description BACKGROUND: Anopheles sinensis is a major malaria vector in China and other Southeast Asian countries, and it is becoming increasingly resistant to the insecticides used for agriculture, net impregnation, and indoor residual spray. Very limited genomic information on this species is available, which has hindered the development of new tools for resistance surveillance and vector control. We used the 454 GS FLX system and generated expressed sequence tag (EST) databases of various life stages of An. sinensis, and we determined the transcriptional differences between deltamethrin resistant and susceptible mosquitoes. RESULTS: The 454 GS FLX transcriptome sequencing yielded a total of 624,559 reads (average length of 290 bp) with the pooled An. sinensis mosquitoes across various development stages. The de novo assembly generated 33,411 contigs with average length of 493 bp. A total of 8,057 ESTs were generated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation. A total of 2,131 ESTs were differentially expressed between deltamethrin resistant and susceptible mosquitoes collected from the same field site in Jiangsu, China. Among these differentially expressed ESTs, a total of 294 pathways were mapped to the KEGG database, with the predominant ESTs belonging to metabolic pathways. Furthermore, a total of 2,408 microsatellites and 15,496 single nucleotide polymorphisms (SNPs) were identified. CONCLUSIONS: The annotated EST and transcriptome databases provide a valuable genomic resource for further genetic studies of this important malaria vector species. The differentially expressed ESTs associated with insecticide resistance identified in this study lay an important foundation for further functional analysis. The identified microsatellite and SNP markers will provide useful tools for future population genetic and comparative genomic analyses of malaria vectors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-448) contains supplementary material, which is available to authorized users.
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spelling pubmed-40705472014-06-27 Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis Zhu, Guoding Zhong, Daibin Cao, Jun Zhou, Huayun Li, Julin Liu, Yaobao Bai, Liang Xu, Sui Wang, Mei-Hui Zhou, Guofa Chang, Xuelian Gao, Qi Yan, Guiyun BMC Genomics Research Article BACKGROUND: Anopheles sinensis is a major malaria vector in China and other Southeast Asian countries, and it is becoming increasingly resistant to the insecticides used for agriculture, net impregnation, and indoor residual spray. Very limited genomic information on this species is available, which has hindered the development of new tools for resistance surveillance and vector control. We used the 454 GS FLX system and generated expressed sequence tag (EST) databases of various life stages of An. sinensis, and we determined the transcriptional differences between deltamethrin resistant and susceptible mosquitoes. RESULTS: The 454 GS FLX transcriptome sequencing yielded a total of 624,559 reads (average length of 290 bp) with the pooled An. sinensis mosquitoes across various development stages. The de novo assembly generated 33,411 contigs with average length of 493 bp. A total of 8,057 ESTs were generated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation. A total of 2,131 ESTs were differentially expressed between deltamethrin resistant and susceptible mosquitoes collected from the same field site in Jiangsu, China. Among these differentially expressed ESTs, a total of 294 pathways were mapped to the KEGG database, with the predominant ESTs belonging to metabolic pathways. Furthermore, a total of 2,408 microsatellites and 15,496 single nucleotide polymorphisms (SNPs) were identified. CONCLUSIONS: The annotated EST and transcriptome databases provide a valuable genomic resource for further genetic studies of this important malaria vector species. The differentially expressed ESTs associated with insecticide resistance identified in this study lay an important foundation for further functional analysis. The identified microsatellite and SNP markers will provide useful tools for future population genetic and comparative genomic analyses of malaria vectors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-448) contains supplementary material, which is available to authorized users. BioMed Central 2014-06-09 /pmc/articles/PMC4070547/ /pubmed/24909924 http://dx.doi.org/10.1186/1471-2164-15-448 Text en © Zhu et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhu, Guoding
Zhong, Daibin
Cao, Jun
Zhou, Huayun
Li, Julin
Liu, Yaobao
Bai, Liang
Xu, Sui
Wang, Mei-Hui
Zhou, Guofa
Chang, Xuelian
Gao, Qi
Yan, Guiyun
Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title_full Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title_fullStr Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title_full_unstemmed Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title_short Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
title_sort transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, anopheles sinensis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070547/
https://www.ncbi.nlm.nih.gov/pubmed/24909924
http://dx.doi.org/10.1186/1471-2164-15-448
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