Cargando…

Extended protocol and real-time PCR dataset for shrimp species identification

Mitochondrial gene analysis was performed using gene-specific conserved primers by conventional and real-time PCR method. Along with, beta-actin gene analysis using conserved primers was also performed in this article. Mitochondrial gene sequence as well as beta-actin sequence data were acquired by...

Descripción completa

Detalles Bibliográficos
Autores principales: Mondal, Debabrata, Mandal, Nripendranath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953599/
https://www.ncbi.nlm.nih.gov/pubmed/31938722
http://dx.doi.org/10.1016/j.dib.2019.105068
_version_ 1783486649139724288
author Mondal, Debabrata
Mandal, Nripendranath
author_facet Mondal, Debabrata
Mandal, Nripendranath
author_sort Mondal, Debabrata
collection PubMed
description Mitochondrial gene analysis was performed using gene-specific conserved primers by conventional and real-time PCR method. Along with, beta-actin gene analysis using conserved primers was also performed in this article. Mitochondrial gene sequence as well as beta-actin sequence data were acquired by Sanger sequencing technique. We have reported a set of conserved primers for the identification and authentication of ten different shrimp species. Real-time melt curve analysis was the most promising methodology to discriminate the mislabeling or fraudulent commercial use of shrimp species. Dataset in this article provided novel insight into identification and authentication of shrimp species by real-time melt curve analysis.
format Online
Article
Text
id pubmed-6953599
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-69535992020-01-14 Extended protocol and real-time PCR dataset for shrimp species identification Mondal, Debabrata Mandal, Nripendranath Data Brief Agricultural and Biological Science Mitochondrial gene analysis was performed using gene-specific conserved primers by conventional and real-time PCR method. Along with, beta-actin gene analysis using conserved primers was also performed in this article. Mitochondrial gene sequence as well as beta-actin sequence data were acquired by Sanger sequencing technique. We have reported a set of conserved primers for the identification and authentication of ten different shrimp species. Real-time melt curve analysis was the most promising methodology to discriminate the mislabeling or fraudulent commercial use of shrimp species. Dataset in this article provided novel insight into identification and authentication of shrimp species by real-time melt curve analysis. Elsevier 2019-12-31 /pmc/articles/PMC6953599/ /pubmed/31938722 http://dx.doi.org/10.1016/j.dib.2019.105068 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Mondal, Debabrata
Mandal, Nripendranath
Extended protocol and real-time PCR dataset for shrimp species identification
title Extended protocol and real-time PCR dataset for shrimp species identification
title_full Extended protocol and real-time PCR dataset for shrimp species identification
title_fullStr Extended protocol and real-time PCR dataset for shrimp species identification
title_full_unstemmed Extended protocol and real-time PCR dataset for shrimp species identification
title_short Extended protocol and real-time PCR dataset for shrimp species identification
title_sort extended protocol and real-time pcr dataset for shrimp species identification
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953599/
https://www.ncbi.nlm.nih.gov/pubmed/31938722
http://dx.doi.org/10.1016/j.dib.2019.105068
work_keys_str_mv AT mondaldebabrata extendedprotocolandrealtimepcrdatasetforshrimpspeciesidentification
AT mandalnripendranath extendedprotocolandrealtimepcrdatasetforshrimpspeciesidentification