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Species identification through mitochondrial rRNA genetic analysis

Inter-species and intraspecific variations in mitochondrial DNA (mtDNA) were observed in a bioinformatics analysis of the mitochondrial genomic sequences of 11 animal species. Some highly conserved regions were identified in the mitochondrial 12S and 16S ribosomal RNA (rRNA) genes of these species....

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Autores principales: Yang, Li, Tan, Zongqing, Wang, Daren, Xue, Ling, Guan, Min-xin, Huang, Taosheng, Li, Ronghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379257/
https://www.ncbi.nlm.nih.gov/pubmed/24522485
http://dx.doi.org/10.1038/srep04089
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author Yang, Li
Tan, Zongqing
Wang, Daren
Xue, Ling
Guan, Min-xin
Huang, Taosheng
Li, Ronghua
author_facet Yang, Li
Tan, Zongqing
Wang, Daren
Xue, Ling
Guan, Min-xin
Huang, Taosheng
Li, Ronghua
author_sort Yang, Li
collection PubMed
description Inter-species and intraspecific variations in mitochondrial DNA (mtDNA) were observed in a bioinformatics analysis of the mitochondrial genomic sequences of 11 animal species. Some highly conserved regions were identified in the mitochondrial 12S and 16S ribosomal RNA (rRNA) genes of these species. To test whether these sequences are universally conserved, primers were designed to target the conserved regions of these two genes and were used to amplify DNA from 21 animal tissues, including two of unknown origin. By sequencing these PCR amplicons and aligning the sequences to a database of non-redundant nucleotide sequences, it was confirmed that these amplicons aligned specifically to mtDNA sequences from the expected species of origin. This molecular technique, when combined with bioinformatics, provides a reliable method for the taxonomic classification of animal tissues.
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spelling pubmed-53792572017-04-10 Species identification through mitochondrial rRNA genetic analysis Yang, Li Tan, Zongqing Wang, Daren Xue, Ling Guan, Min-xin Huang, Taosheng Li, Ronghua Sci Rep Article Inter-species and intraspecific variations in mitochondrial DNA (mtDNA) were observed in a bioinformatics analysis of the mitochondrial genomic sequences of 11 animal species. Some highly conserved regions were identified in the mitochondrial 12S and 16S ribosomal RNA (rRNA) genes of these species. To test whether these sequences are universally conserved, primers were designed to target the conserved regions of these two genes and were used to amplify DNA from 21 animal tissues, including two of unknown origin. By sequencing these PCR amplicons and aligning the sequences to a database of non-redundant nucleotide sequences, it was confirmed that these amplicons aligned specifically to mtDNA sequences from the expected species of origin. This molecular technique, when combined with bioinformatics, provides a reliable method for the taxonomic classification of animal tissues. Nature Publishing Group 2014-02-13 /pmc/articles/PMC5379257/ /pubmed/24522485 http://dx.doi.org/10.1038/srep04089 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Yang, Li
Tan, Zongqing
Wang, Daren
Xue, Ling
Guan, Min-xin
Huang, Taosheng
Li, Ronghua
Species identification through mitochondrial rRNA genetic analysis
title Species identification through mitochondrial rRNA genetic analysis
title_full Species identification through mitochondrial rRNA genetic analysis
title_fullStr Species identification through mitochondrial rRNA genetic analysis
title_full_unstemmed Species identification through mitochondrial rRNA genetic analysis
title_short Species identification through mitochondrial rRNA genetic analysis
title_sort species identification through mitochondrial rrna genetic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379257/
https://www.ncbi.nlm.nih.gov/pubmed/24522485
http://dx.doi.org/10.1038/srep04089
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