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用于鉴定北欧大陆架鱼类区系的可靠 DNA 条码参考文库。

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

机构信息

Senckenberg am Meer, German Center for Marine Biodiversity Research (DZMB), Südstrand 44, 26382, Wilhelmshaven, Germany.

出版信息

Mol Ecol Resour. 2014 Sep;14(5):1060-71. doi: 10.1111/1755-0998.12238. Epub 2014 Mar 12.

Abstract

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.

摘要

有效的鱼类物种鉴定是基础科学和渔业管理的重要步骤。传统的鉴定主要基于外部形态学的诊断特征,导致在许多情况下结果不一致。在这里,我们提供了一个基于线粒体细胞色素 c 氧化酶亚基 I(COI)的序列参考文库,用于对来自北海和邻近水域的 93 种北大西洋鱼类进行有效的鉴定,包括许多商业开发的物种。基于 K2P 遗传距离的邻接法分析为所有物种形成了非重叠的聚类,每个聚类的bootstrap 支持率均≥99%。由于与最近邻的最小遗传距离始终超过最大种内距离,因此 100%的物种都可以成功鉴定。整个数据集明显存在条形码间隙。种内距离范围为 0 至 2.35%,而种间距离则在 3.15%至 28.09%之间。同属种之间的距离平均比种内距离高 51 倍。通过应用 BOLDs 条形码索引数(BIN)分析工具和排名系统对序列文库进行验证,证明了 DNA 条形码对 85%调查鱼类物种的分类可靠性很高。因此,本文提供的序列文库可作为鉴定北海记录的至少三分之二典型鱼类物种的基准。

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