...
首页> 外文期刊>Molecular ecology resources >A reliable DNA barcode reference library for the identification of the North European shelf fish fauna
【24h】

A reliable DNA barcode reference library for the identification of the North European shelf fish fauna

机译:可靠的DNA条形码参考文库,用于鉴定北欧架子鱼区系

获取原文
获取原文并翻译 | 示例

摘要

Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for a valid identification of 93 North Atlantic fish species originating from the North Sea and adjacent waters, including many commercially exploited species. Neighbour-joining analysis based on K2P genetic distances formed nonoverlapping clusters for all species with a ≥99% bootstrap support each. Identification was successful for 100% of the species as the minimum genetic distance to the nearest neighbour always exceeded the maximum intraspecific distance. A barcoding gap was apparent for the whole data set. Within-species distances ranged from 0 to 2.35%, while interspecific distances varied between 3.15 and 28.09%. Distances between congeners were on average 51-fold higher than those within species. The validation of the sequence library by applying BOLDs barcode index number (BIN) analysis tool and a ranking system demonstrated high taxonomic reliability of the DNA barcodes for 85% of the investigated fish species. Thus, the sequence library presented here can be confidently used as a benchmark for identification of at least two-thirds of the typical fish species recorded for the North Sea.
机译:有效的鱼类物种识别对于基础科学和渔业管理都是必不可少的步骤。传统的识别主要基于外部的形态学诊断特征,在许多情况下导致不一致的结果。在这里,我们提供了基于线粒体细胞色素C氧化酶亚基(COI)的序列参考文库,可有效鉴定源自北海和邻近水域的93种北大西洋鱼类,包括许多商业开发的物种。基于K2P遗传距离的邻居加入分析形成了所有物种的不重叠簇,每个物种的自举支持≥99%。对100%物种的鉴定成功,因为到最近邻居的最小遗传距离始终超过最大种内距离。整个数据集的条形码差距显而易见。种内距离在0到2.35%之间,而种间距离在3.15和28.09%之间变化。同属物种之间的距离平均比同种物种之间的距离高51倍。通过使用BOLDs条形码索引号(BIN)分析工具和排名系统对序列库进行验证,证明了所研究鱼类中85%的DNA条形码具有高度的分类学可靠性。因此,这里介绍的序列库可以放心地用作基准,以识别至少三分之二的记录在北海的典型鱼类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号