Construction and characterization of an expressed sequenced tag library for the mosquito vector Armigeres subalbatus
- Equal contributors
1 Department of Pathobiological Sciences, University of Wisconsin-Madison, 1656 Linden Dr., Madison Wisconsin, 53706, USA
2 Department of Entomology, Iowa State University, Ames IA, 50010, USA
3 Department of Tropical Medicine, National Yang-Ming University, Shih-Pai, Taipei 112, Taiwan
4 VYM Genome Research Center, National Yang-Ming University, Shih-Pai, Taipei 112, Taiwan
5 Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei 112, Taiwan
6 Division of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County 350, Taiwan
7 Institute of Bioinformatics, National Yang-Ming University, Shih-Pai, Taipei 112, Taiwan
BMC Genomics 2007, 8:462 doi:10.1186/1471-2164-8-462Published: 18 December 2007
The mosquito, Armigeres subalbatus, mounts a distinctively robust innate immune response when infected with the nematode Brugia malayi, a causative agent of lymphatic filariasis. In order to mine the transcriptome for new insight into the cascade of events that takes place in response to infection in this mosquito, 6 cDNA libraries were generated from tissues of adult female mosquitoes subjected to immune-response activation treatments that lead to well-characterized responses, and from aging, naïve mosquitoes. Expressed sequence tags (ESTs) from each library were produced, annotated, and subjected to comparative analyses.
Six libraries were constructed and used to generate 44,940 expressed sequence tags, of which 38,079 passed quality filters to be included in the annotation project and subsequent analyses. All of these sequences were collapsed into clusters resulting in 8,020 unique sequence clusters or singletons. EST clusters were annotated and curated manually within ASAP (A Systematic Annotation Package for Community Analysis of Genomes) web portal according to BLAST results from comparisons to Genbank, and the Anopheles gambiae and Drosophila melanogaster genome projects.
The resulting dataset is the first of its kind for this mosquito vector and provides a basis for future studies of mosquito vectors regarding the cascade of events that occurs in response to infection, and thereby providing insight into vector competence and innate immunity.