Transcriptome analysis of the almond moth, Cadra cautella, female abdominal tissues and identification of reproduction control genes

Autor: Muhammad Tufail, Khalid Mehmood, Mureed Husain, Khawaja Ghulam Rasool, Abdulrahman S. Aldawood
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
BMC Genomics
ISSN: 1471-2164
DOI: 10.1186/s12864-019-6130-2
Popis: BackgroundThe almond moth,Cadra cautellais a destructive pest of stored food commodities including dates that causes severe economic losses for the farming community worldwide. To date, no genetic information related to the molecular mechanism/strategies of its reproduction is available. Thus, transcriptome analysis ofC.cautellafemale abdominal tissues was performed via next-generation sequencing (NGS) to recognize the genes responsible for reproduction.ResultsThe NGS was performed with an Illumina Hiseq 2000 sequencer (Beijing Genomics Institute: BGI). From the transcriptome data, 9,804,804,120 nucleotides were generated and their assemblage resulted in 62,687 unigenes. The functional annotation analyses done by different databases, annotated, 27,836 unigenes in total. The transcriptome data ofC. cautellafemale abdominal tissue was submitted to the National Center for Biotechnology Information (accession no: PRJNA484692). The transcriptome analysis yielded several genes responsible forC. cautellareproduction including sixVggene transcripts. Among the sixVggene transcripts, only one was highly expressed with 3234.95 FPKM value (fragments per kilobase per million mapped reads) that was much higher than that of the other five transcripts. Higher differences in the expression level of the sixVgtranscripts were confirmed by running the RT-PCR using gene specific primers, where the expression was observed only in one transcript it was named as theCcVg.ConclusionsThis is the first study to exploreC. cautellareproduction control genes and it might be supportive to explore the reproduction mechanism in this pest at the molecular level. The NGS based transcriptome pool is valuable to study the functional genomics and will support to design biotech-based management strategies forC. cautella.
Databáze: OpenAIRE
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