Use of DNA barcode in the identification of fish species from Ribeira de Iguape Basin and coastal rivers from São Paulo State (Brazil)

DNA Barcodes Pub Date : 1900-01-01 DOI:10.1515/DNA-2015-0015
Jefferson Monteiro Henriques, G. J. D. C. Silva, F. Y. Ashikaga, R. Hanner, F. Foresti, Cláudio Oliveira
{"title":"Use of DNA barcode in the identification of fish species from Ribeira de Iguape Basin and coastal rivers from São Paulo State (Brazil)","authors":"Jefferson Monteiro Henriques, G. J. D. C. Silva, F. Y. Ashikaga, R. Hanner, F. Foresti, Cláudio Oliveira","doi":"10.1515/DNA-2015-0015","DOIUrl":null,"url":null,"abstract":"Species identification is a difficult task, ranging from the definition of the species concept itself to the definition of the threshold for speciation. DNA Barcode technology uses a fragment of the Cytochrome Oxidase I (COI) gene as a molecular tool that many studies have already validated as a tool for species identification. DNA barcode sequences for COI were generated and analyzed from 805 specimens. The General Mixed Yule Coalescent (GMYC) analysis recognized 99 independent evolution units, and the Barcode Index Numbers (BIN) approach pointed to the existence of 104 BINs (interpreted as distinct species). By cross-tabulating the results of all approaches, we identified 109 Molecular Operational Taxonomic Units (MOTU) by at least one methodology. In most cases (89 MOTUs), the genetic approaches are in agreement with morphological identification, and the discrepant results of MOTUs are in the complex groups, which have many morphological similarities but may represent species complexes.","PeriodicalId":446240,"journal":{"name":"DNA Barcodes","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DNA Barcodes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/DNA-2015-0015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Species identification is a difficult task, ranging from the definition of the species concept itself to the definition of the threshold for speciation. DNA Barcode technology uses a fragment of the Cytochrome Oxidase I (COI) gene as a molecular tool that many studies have already validated as a tool for species identification. DNA barcode sequences for COI were generated and analyzed from 805 specimens. The General Mixed Yule Coalescent (GMYC) analysis recognized 99 independent evolution units, and the Barcode Index Numbers (BIN) approach pointed to the existence of 104 BINs (interpreted as distinct species). By cross-tabulating the results of all approaches, we identified 109 Molecular Operational Taxonomic Units (MOTU) by at least one methodology. In most cases (89 MOTUs), the genetic approaches are in agreement with morphological identification, and the discrepant results of MOTUs are in the complex groups, which have many morphological similarities but may represent species complexes.
DNA条形码在巴西圣保罗州伊瓜普河流域及沿海河流鱼类鉴定中的应用
从物种概念本身的定义到物种形成阈值的定义,物种识别是一项艰巨的任务。DNA条形码技术使用细胞色素氧化酶I (COI)基因的片段作为分子工具,许多研究已经验证了它作为物种鉴定的工具。对805份标本生成COI的DNA条形码序列并进行分析。一般混合Yule Coalescent (GMYC)分析识别出99个独立的进化单元,条形码索引(BIN)方法指出存在104个BIN(解释为不同的物种)。通过交叉制表所有方法的结果,我们通过至少一种方法确定了109个分子操作分类单位(MOTU)。在大多数情况下(89个motu),遗传方法与形态鉴定一致,而motu的差异结果出现在复杂类群中,这些类群具有许多形态相似性,但可能代表物种复合体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信