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ARS Home » Plains Area » Lincoln, Nebraska » Agroecosystem Management Research » Research » Publications at this Location » Publication #302967
Title: De novo transcriptome of the hemimetabolous German cockroach (Blattella germanica)

Author
item ZHOU, XIAOJIE - Beijing Centers For Disease And Prevention, Department Of Pest Inspection
item QUIAN, KUN - Beijing Centers For Disease And Prevention, Department Of Pest Inspection
item TONG, YING - Beijing Centers For Disease And Prevention, Department Of Pest Inspection
item Zhu, Junwei - Jerry
item QIU, XINGHUI - Institute Of Zoology - China
item ZENGT, XIAOPENG - Beijing Centers For Disease And Prevention, Department Of Pest Inspection

Submitted to: PLOS ONE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 8/13/2014
Publication Date: 9/29/2014
Citation: Zhou, X., Quian, K., Tong, Y., Zhu, J.J., Qiu, X., Zengt, X. 2014. De novo transcriptome of the hemimetabolous German cockroach (Blattella germanica). PLoS One. 9(9):e106932 Page 1-11. DOI: 10.1371/journal.pone.0106932.

Interpretive Summary: The German cockroach, Blattella germanica, is an important insect vector that transmits various pathogens. It has become a model system in insect biology, physiology and ecology, but genetic information at the genomic and transcriptomic levels are severely lacking. To explore the transcriptome and identify unique sequences of interest, we subjected the B. germanica transcriptome to massively parallel pyrosequencing and generated the first reference transcriptome for this important pest. The whole transcriptome pyrosequencing data will provide clues to the identification of potential functional genes in various physiological processes that may shed the light for future functional genomics and genetics studies.

Technical Abstract: A total of 1,365,609 raw reads with an average length of 529 bp, which were de novo assembled into 48,800 contigs and 3,961 singletons for a total of 52,761 high-quality unique sequences are generated. These sequences are annotated in terms of GO and KEGG, and the results reveal putative genes of various physiological functions, such as the detoxification enzyme systems, and targets related to the pesticide resistance, key components in systematic RNA interference and immunity pathways. All of these ultimately facilitate the design of microarray and experiments to study the metabolic-based insecticide resistance, as well as discover new targets for new insecticide development in B. germanica. A total of 3601 SSRs loci have been predicted from the present study.