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基于特征的保利卡特湖商业重要鱼类鉴定钥匙:保护和管理工具。

Character-based identification key for commercially important fishes of Pulicat lake: tool for conservation and management.

机构信息

Institute of Fisheries Postgraduate Studies, TNJFU OMR Campus, Chennai, India.

Directorate of Incubation and Vocational Training in Aquaculture, ECR-Muttukadu, Chennai-603 112, India.

出版信息

Mitochondrial DNA A DNA Mapp Seq Anal. 2021 May;32(4):120-125. doi: 10.1080/24701394.2021.1883009. Epub 2021 Feb 10.

DOI:10.1080/24701394.2021.1883009
PMID:33565345
Abstract

Fishes are an important group of vertebrates in the animal world and make a significant contribution to global biodiversity. Fish is used as a source of food and contains many essential vitamins and fatty acids. The study of fish and their stability is important because, from year to year, fish stocks are often very important. For the conservation and management of these dwindling resources, correct identification of species is a prerequisite. Character-based methods of identification are of considerable use in this context, which classify specimens into species using classification rules that compactly describe species in terms of key diagnostic nucleotides in the gene sequences chosen. In this study, a total of 56 species of fishes distributed in Pulicat lake waters is taken as the target group. Mitochondrial CO1 sequences of each species were downloaded and modified. The species-specific diagnostic nucleotides for the selected group of species were identified using the BLOG version 2.0 software. Species-specific probes with a length range of 18-37 bp were designed on the basis of identified diagnostic nucleotide sites. The method is an effective tool for quickly and easily obtaining a significant amount of reliable information and could be used for forensic applications and conservation of fishes in Pulicat Lake.

摘要

鱼类是动物界中重要的脊椎动物群体,为全球生物多样性做出了重大贡献。鱼类被用作食物来源,含有许多必需的维生素和脂肪酸。研究鱼类及其稳定性很重要,因为每年鱼类资源都非常重要。为了保护和管理这些日益减少的资源,正确识别物种是前提。基于特征的识别方法在这方面非常有用,它使用分类规则将标本分类为物种,这些规则根据所选基因序列中关键诊断核苷酸来简洁地描述物种。在这项研究中,以分布在普里卡特湖水域的 56 种鱼类为目标群体。下载并修改了每种鱼类的线粒体 CO1 序列。使用 BLOG 版本 2.0 软件确定所选物种组的物种特异性诊断核苷酸。根据鉴定的诊断核苷酸位点设计了长度范围为 18-37bp 的物种特异性探针。该方法是一种快速、轻松获取大量可靠信息的有效工具,可用于法医应用和保护普里卡特湖的鱼类。

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