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Identification of fish species through tRNA-based primer design

BACKGROUND: The correct establishment of the barcode classification system for fish can facilitate biotaxonomists to distinguish fish species, and it can help the government to verify the authenticity of the ingredients of fish products or identify unknown fish related samples. The Cytochrome c oxid...

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Autores principales: Wu, Ting-Hui, Yang, Cing-Han, Pai, Tun-Wen, Ho, Li-Ping, Wu, Jen-Leih, Chou, Hsin-Yiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724258/
https://www.ncbi.nlm.nih.gov/pubmed/36474163
http://dx.doi.org/10.1186/s12859-022-04717-8
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author Wu, Ting-Hui
Yang, Cing-Han
Pai, Tun-Wen
Ho, Li-Ping
Wu, Jen-Leih
Chou, Hsin-Yiu
author_facet Wu, Ting-Hui
Yang, Cing-Han
Pai, Tun-Wen
Ho, Li-Ping
Wu, Jen-Leih
Chou, Hsin-Yiu
author_sort Wu, Ting-Hui
collection PubMed
description BACKGROUND: The correct establishment of the barcode classification system for fish can facilitate biotaxonomists to distinguish fish species, and it can help the government to verify the authenticity of the ingredients of fish products or identify unknown fish related samples. The Cytochrome c oxidation I (COI) gene sequence in the mitochondria of each species possesses unique characteristics, which has been widely used as barcodes in identifying species in recent years. Instead of using COI gene sequences for primer design, flanking tRNA segments of COI genes from 2618 complete fish mitochondrial genomes were analyzed to discover suitable primers for fish classification at taxonomic family level. The minimal number of primer sets is designed to effectively distinguish various clustered groups of fish species for identification applications. Sequence alignment analysis and cross tRNA segment comparisons were applied to check and ensure the primers for each cluster group are exclusive. RESULTS: Two approaches were applied to improve primer design and re-cluster fish species. The results have shown that exclusive primers for 2618 fish species were successfully discovered through in silico analysis. In addition, we applied sequence alignment analysis to confirm that each pair of primers can successfully identify all collected fish species at the taxonomic family levels. CONCLUSIONS: This study provided a practical strategy to discover unique primers for each fishery species and a comprehensive list of exclusive primers for extracting COI barcode sequences of all known fishery species. Various applications of verification of fish products or identification of unknown fish species could be effectively achieved. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04717-8.
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spelling pubmed-97242582022-12-07 Identification of fish species through tRNA-based primer design Wu, Ting-Hui Yang, Cing-Han Pai, Tun-Wen Ho, Li-Ping Wu, Jen-Leih Chou, Hsin-Yiu BMC Bioinformatics Methodology BACKGROUND: The correct establishment of the barcode classification system for fish can facilitate biotaxonomists to distinguish fish species, and it can help the government to verify the authenticity of the ingredients of fish products or identify unknown fish related samples. The Cytochrome c oxidation I (COI) gene sequence in the mitochondria of each species possesses unique characteristics, which has been widely used as barcodes in identifying species in recent years. Instead of using COI gene sequences for primer design, flanking tRNA segments of COI genes from 2618 complete fish mitochondrial genomes were analyzed to discover suitable primers for fish classification at taxonomic family level. The minimal number of primer sets is designed to effectively distinguish various clustered groups of fish species for identification applications. Sequence alignment analysis and cross tRNA segment comparisons were applied to check and ensure the primers for each cluster group are exclusive. RESULTS: Two approaches were applied to improve primer design and re-cluster fish species. The results have shown that exclusive primers for 2618 fish species were successfully discovered through in silico analysis. In addition, we applied sequence alignment analysis to confirm that each pair of primers can successfully identify all collected fish species at the taxonomic family levels. CONCLUSIONS: This study provided a practical strategy to discover unique primers for each fishery species and a comprehensive list of exclusive primers for extracting COI barcode sequences of all known fishery species. Various applications of verification of fish products or identification of unknown fish species could be effectively achieved. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04717-8. BioMed Central 2022-12-06 /pmc/articles/PMC9724258/ /pubmed/36474163 http://dx.doi.org/10.1186/s12859-022-04717-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Wu, Ting-Hui
Yang, Cing-Han
Pai, Tun-Wen
Ho, Li-Ping
Wu, Jen-Leih
Chou, Hsin-Yiu
Identification of fish species through tRNA-based primer design
title Identification of fish species through tRNA-based primer design
title_full Identification of fish species through tRNA-based primer design
title_fullStr Identification of fish species through tRNA-based primer design
title_full_unstemmed Identification of fish species through tRNA-based primer design
title_short Identification of fish species through tRNA-based primer design
title_sort identification of fish species through trna-based primer design
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724258/
https://www.ncbi.nlm.nih.gov/pubmed/36474163
http://dx.doi.org/10.1186/s12859-022-04717-8
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