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Title: In silico neuropeptidome of female Macrobrachium rosenbergii based on transcriptome and peptide mining of eyestalk, central nervous system and ovary
Authors: Saowaros Suwansa-Ard
Tipsuda Thongbuakaew
Tianfang Wang
Min Zhao
Abigail Elizur
Peter J. Hanna
Prapee Sretarugsa
Scott F. Cummins
Prasert Sobhon
Mahidol University
University of the Sunshine Coast
Deakin University
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology;Medicine
Issue Date: 29-May-2015
Citation: PLoS ONE. Vol.10, No.5 (2015)
Abstract: © 2015 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Macrobrachium rosenbergii is the most economically important of the cultured freshwater crustacean species, yet there is currently a deficiency in genomic and transcriptomic information for research requirements. In this study, we present an in silico analysis of neuropeptide genes within the female M. rosenbergii eyestalk, central nervous system, and ovary. We could confidently predict 37 preproneuropeptide transcripts, including those that encode bursicons, crustacean cardioactive peptide, crustacean hyperglycemic hormones, eclosion hormone, pigment-dispersing hormones, diuretic hormones, neuropeptide F, neuroparsins, SIFamide, and sulfakinin. These transcripts are most prominent within the eyestalk and central nervous system. Transcript tissue distribution as determined by reverse transcription-polymerase chain reaction revealed the presence of selected neuropeptide genes of interest mainly in the nervous tissues while others were additionally present in the non-nervous tissues. Liquid chromatography-mass spectrometry analysis of eyestalk peptides confirmed the presence of the crustacean hyperglycemic hormone precursor. This data set provides a strong foundation for further studies into the functional roles of neuropeptides in M. rosenbergii, and will be especially helpful for developing methods to improve crustacean aquaculture.
ISSN: 19326203
Appears in Collections:Scopus 2011-2015

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