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In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary

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...

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Autores principales: Suwansa-ard, Saowaros, Thongbuakaew, Tipsuda, Wang, Tianfang, Zhao, Min, Elizur, Abigail, Hanna, Peter J., Sretarugsa, Prapee, Cummins, Scott F., Sobhon, Prasert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449106/
https://www.ncbi.nlm.nih.gov/pubmed/26023789
http://dx.doi.org/10.1371/journal.pone.0123848
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author Suwansa-ard, Saowaros
Thongbuakaew, Tipsuda
Wang, Tianfang
Zhao, Min
Elizur, Abigail
Hanna, Peter J.
Sretarugsa, Prapee
Cummins, Scott F.
Sobhon, Prasert
author_facet Suwansa-ard, Saowaros
Thongbuakaew, Tipsuda
Wang, Tianfang
Zhao, Min
Elizur, Abigail
Hanna, Peter J.
Sretarugsa, Prapee
Cummins, Scott F.
Sobhon, Prasert
author_sort Suwansa-ard, Saowaros
collection PubMed
description 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.
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spelling pubmed-44491062015-06-09 In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary Suwansa-ard, Saowaros Thongbuakaew, Tipsuda Wang, Tianfang Zhao, Min Elizur, Abigail Hanna, Peter J. Sretarugsa, Prapee Cummins, Scott F. Sobhon, Prasert PLoS One Research Article 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. Public Library of Science 2015-05-29 /pmc/articles/PMC4449106/ /pubmed/26023789 http://dx.doi.org/10.1371/journal.pone.0123848 Text en © 2015 Suwansa-ard et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Suwansa-ard, Saowaros
Thongbuakaew, Tipsuda
Wang, Tianfang
Zhao, Min
Elizur, Abigail
Hanna, Peter J.
Sretarugsa, Prapee
Cummins, Scott F.
Sobhon, Prasert
In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title_full In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title_fullStr In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title_full_unstemmed In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title_short In silico Neuropeptidome of Female Macrobrachium rosenbergii Based on Transcriptome and Peptide Mining of Eyestalk, Central Nervous System and Ovary
title_sort in silico neuropeptidome of female macrobrachium rosenbergii based on transcriptome and peptide mining of eyestalk, central nervous system and ovary
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449106/
https://www.ncbi.nlm.nih.gov/pubmed/26023789
http://dx.doi.org/10.1371/journal.pone.0123848
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