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IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

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Transcriptome analysis of Anopheles stephensi embryo using expressed sequence tags.

Kaustubh Gokhale¹, Deepak P Patil, Dhiraj P Dhotre

¹National Centre for Cell Science, Ganeshkhind, Pune 411 007, India.

Journal of Biosciences

|May 11, 2013

Summary

This study analyzes the transcriptome of the germ band retraction stage in Anopheles stephensi mosquitoes. Most identified transcripts remain uncharacterized, highlighting a gap in understanding mosquito embryonic gene expression.

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Area of Science:

Entomology
Developmental Biology
Genomics

Background:

Germ band retraction (GBR) is a critical insect developmental stage involving extensive epithelial morphogenesis.
GBR may play a key role in generating insect morphological diversity.
Limited transcriptome data exists for the GBR stage in insects.

Purpose of the Study:

To generate and analyze expressed sequence tags (ESTs) from the embryonic stage of Anopheles stephensi.
To characterize the transcriptome repertoire during mosquito GBR.
To provide a resource for future molecular biology applications in entomology.

Main Methods:

Generation and annotation of ESTs from Anopheles stephensi embryos (16-22 h post-fertilization).
Clustering of 1140 high-quality ESTs to obtain 1002 contigs.
Functional annotation of contigs to identify putative functions.

Main Results:

A total of 1002 contigs were generated with low redundancy (12.1%).
Only 213 contigs (21%) were assigned putative functions, primarily related to protein synthesis.
Approximately 78% of transcripts remain uncharacterized, indicating a significant knowledge gap.

Conclusions:

The study provides a valuable resource of ESTs from a critical mosquito embryonic stage.
Novel transcripts identified may contribute to insect viability in adverse environments.
The data supports genome annotation, microarray development, and phylogenetic analysis in entomology.