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Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis
- Source :
- Zhu, G; Zhong, D; Cao, J; Zhou, H; Li, J; Liu, Y; et al.(2014). Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis. BMC Genomics, 15(1). doi: 10.1186/1471-2164-15-448. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4n50k58n, BMC genomics, vol 15, iss 1, BMC Genomics
- Publication Year :
- 2014
- Publisher :
- eScholarship, University of California, 2014.
-
Abstract
- 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.
- Subjects :
- and promotion of well-being
Insecticides
Genome, Insect
ved/biology.organism_classification_rank.species
Sequence assembly
Medical and Health Sciences
Transcriptome
Insecticide Resistance
Pyrethrins
Genetics
Expressed Sequence Tags
education.field_of_study
Expressed sequence tag
Genome
Anopheles
Anopheles sinensis
Single Nucleotide
Biological Sciences
3. Good health
Infectious Diseases
Female
Infection
Research Article
Biotechnology
Pyrethroid resistance
Bioinformatics
Population
Molecular Sequence Data
Biology
Southeast asian
Polymorphism, Single Nucleotide
Rare Diseases
Information and Computing Sciences
parasitic diseases
Animals
KEGG
Polymorphism
education
3.2 Interventions to alter physical and biological environmental risks
ved/biology
Gene Expression Profiling
biology.organism_classification
Prevention of disease and conditions
Malaria
Vector-Borne Diseases
Good Health and Well Being
Gene Expression Regulation
Gene expression
Insect
Microsatellite Repeats
Subjects
Details
- Language :
- English
- ISSN :
- 14712164
- Database :
- OpenAIRE
- Journal :
- Zhu, G; Zhong, D; Cao, J; Zhou, H; Li, J; Liu, Y; et al.(2014). Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis. BMC Genomics, 15(1). doi: 10.1186/1471-2164-15-448. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4n50k58n, BMC genomics, vol 15, iss 1, BMC Genomics
- Accession number :
- edsair.doi.dedup.....a57cee0bd67e13946697eba12d0b60cf