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SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection
Oysters, with high levels of phenotypic plasticity and wide geographic distribution, are a challenging group for taxonomists and phylogenetics. Our study is intended to generate new EST-SNP markers and to evaluate their potential for cross-species utilization in phylogenetic study of the genus Crass...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169597/ https://www.ncbi.nlm.nih.gov/pubmed/25238392 http://dx.doi.org/10.1371/journal.pone.0108256 |
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author | Zhong, Xiaoxiao Li, Qi Yu, Hong Kong, Lingfeng |
author_facet | Zhong, Xiaoxiao Li, Qi Yu, Hong Kong, Lingfeng |
author_sort | Zhong, Xiaoxiao |
collection | PubMed |
description | Oysters, with high levels of phenotypic plasticity and wide geographic distribution, are a challenging group for taxonomists and phylogenetics. Our study is intended to generate new EST-SNP markers and to evaluate their potential for cross-species utilization in phylogenetic study of the genus Crassostrea. In the study, 57 novel SNPs were developed from an EST database of C. gigas by the HRM (high-resolution melting) method. Transferability of 377 SNPs developed for C. gigas was examined on four other Crassostrea species: C. sikamea, C. angulata, C. hongkongensis and C. ariakensis. Among the 377 primer pairs tested, 311 (82.5%) primers showed amplification in C. sikamea, 353 (93.6%) in C. angulata, 254 (67.4%) in C. hongkongensis and 253 (67.1%) in C. ariakensis. A total of 214 SNPs were found to be transferable to all four species. Phylogenetic analyses showed that C. hongkongensis was a sister species of C. ariakensis and that this clade was sister to the clade containing C. sikamea, C. angulata and C. gigas. Within this clade, C. gigas and C. angulata had the closest relationship, with C. sikamea being the sister group. In addition, we detected eight SNPs as potentially being under selection by two outlier tests (fdist and hierarchical methods). The SNPs studied here should be useful for genetic diversity, comparative mapping and phylogenetic studies across species in Crassostrea and the candidate outlier SNPs are worth exploring in more detail regarding association genetics and functional studies. |
format | Online Article Text |
id | pubmed-4169597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41695972014-09-22 SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection Zhong, Xiaoxiao Li, Qi Yu, Hong Kong, Lingfeng PLoS One Research Article Oysters, with high levels of phenotypic plasticity and wide geographic distribution, are a challenging group for taxonomists and phylogenetics. Our study is intended to generate new EST-SNP markers and to evaluate their potential for cross-species utilization in phylogenetic study of the genus Crassostrea. In the study, 57 novel SNPs were developed from an EST database of C. gigas by the HRM (high-resolution melting) method. Transferability of 377 SNPs developed for C. gigas was examined on four other Crassostrea species: C. sikamea, C. angulata, C. hongkongensis and C. ariakensis. Among the 377 primer pairs tested, 311 (82.5%) primers showed amplification in C. sikamea, 353 (93.6%) in C. angulata, 254 (67.4%) in C. hongkongensis and 253 (67.1%) in C. ariakensis. A total of 214 SNPs were found to be transferable to all four species. Phylogenetic analyses showed that C. hongkongensis was a sister species of C. ariakensis and that this clade was sister to the clade containing C. sikamea, C. angulata and C. gigas. Within this clade, C. gigas and C. angulata had the closest relationship, with C. sikamea being the sister group. In addition, we detected eight SNPs as potentially being under selection by two outlier tests (fdist and hierarchical methods). The SNPs studied here should be useful for genetic diversity, comparative mapping and phylogenetic studies across species in Crassostrea and the candidate outlier SNPs are worth exploring in more detail regarding association genetics and functional studies. Public Library of Science 2014-09-19 /pmc/articles/PMC4169597/ /pubmed/25238392 http://dx.doi.org/10.1371/journal.pone.0108256 Text en © 2014 Zhong 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 Zhong, Xiaoxiao Li, Qi Yu, Hong Kong, Lingfeng SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title | SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title_full | SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title_fullStr | SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title_full_unstemmed | SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title_short | SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection |
title_sort | snp mining in crassostrea gigas est data: transferability to four other crassostrea species, phylogenetic inferences and outlier snps under selection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169597/ https://www.ncbi.nlm.nih.gov/pubmed/25238392 http://dx.doi.org/10.1371/journal.pone.0108256 |
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