Background: The pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) is one of the world's most important pests of cotton. Insecticide sprays and transgenic cotton producing toxins of the bacterium Bacillus thuringiensis (Bt) are currently used to manage this pest. Bt toxins kill susceptible insects by specifically binding to and destroying midgut cells, but they are not toxic to most other organisms. Pink bollworm is useful as a model for understanding insect responses to Bt toxins, yet advances in understanding at the molecular level have been limited because basic genomic information is lacking for this cosmopolitan pest. Here, we have sequenced, de novo assembled and annotated a comprehensive larval midgut transcriptome from a susceptible strain of pink bollworm. Findings: A de novo transcriptome assembly for the midgut of P. gossypiella was generated containing 46,458 transcripts (average length of 770 bp) derived from 39,874 unigenes. The size of the transcriptome is similar to published midgut transcriptomes of other Lepidoptera and includes up to 91 % annotated contigs. The dataset is publicly available in NCBI and GigaDB as a resource for researchers. Conclusions: Foundational knowledge of protein-coding genes from the pink bollworm midgut is critical for understanding how this important insect pest functions. The transcriptome data presented here represent the first large-scale molecular resource for this species, and may be used for deciphering relevant midgut proteins critical for xenobiotic detoxification, nutrient digestion and allocation, as well as for the discovery of protein receptors important for Bt intoxication.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/618722 |
Date | 22 June 2016 |
Creators | Tassone, Erica E., Zastrow-Hayes, Gina, Mathis, John, Nelson, Mark E., Wu, Gusui, Flexner, J. Lindsey, Carrière, Yves, Tabashnik, Bruce E., Fabrick, Jeffrey A. |
Contributors | Univ Arizona, Dept Entomol |
Publisher | BioMed Central |
Source Sets | University of Arizona |
Language | English |
Detected Language | English |
Type | Article |
Rights | © 2016 The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
Relation | http://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0130-9 |
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