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用于保护和法医应用的板鳃亚纲动物基于特征的识别系统。

Character based identification system for Elasmobranchs for conservation and forensic applications.

作者信息

Vargheese Sneha, Chowdhury Labrechai Mog, Ameri Shijin, A Anjela Mercy, A Kathirvelpandian

机构信息

a Department of Marine Biology, Kerala University of Fisheries and Ocean Studies , Kochi , India.

b ICAR-National Bureau of Fish Genetic Resources, PMFGR Centre , Kochi , India.

出版信息

Mitochondrial DNA A DNA Mapp Seq Anal. 2019 May;30(4):651-656. doi: 10.1080/24701394.2019.1611799. Epub 2019 May 9.

DOI:10.1080/24701394.2019.1611799
PMID:31070485
Abstract

The term Elasmobranchs or Chondrichthyans refer to the group of marine organisms include sharks, skates, rays and chimeras. Due to high demand most of the Elasmobranch species depleted drastically in recent years. Being the apex predators in the marine environment most of the Chondrichthyan species are vulnerable with some risk of extinction. Accurate identification of species is prerequisite for conservation and management of these declining resources. In this context, character-based identification methods are of immense use which classify specimen to species using classification rules that compactly characterized species in terms of key diagnostic nucleotides in the selected gene sequences. In the present study, a total of 82 species of elasmobranches distributed in Indian waters is taken as the target group. A total of 20-30 mitochondrial CO1 sequences of each species were downloaded and modified. Using the BLOG2.0 software, species specific diagnostic nucleotides were identified for the selected group of species. Based on identified diagnostic nucleotide sites, species-specific probes with a length range of 23-30 bp were designed. These probes could be useful in detecting species of interest in customized microarrays (DNA chip). The technique is a powerful tool to obtain a significant amount of accurate information quickly and conveniently and could be used for forensic applications and conservation of elasmobranches in Indian waters.

摘要

板鳃亚纲动物或软骨鱼类这一术语指的是包括鲨鱼、鳐鱼、魟鱼和银鲛在内的海洋生物群体。由于需求量大,近年来大多数板鳃亚纲物种数量急剧减少。作为海洋环境中的顶级掠食者,大多数软骨鱼类物种都很脆弱,面临着一定的灭绝风险。准确识别物种是保护和管理这些日益减少的资源的前提条件。在这种情况下,基于特征的识别方法非常有用,它使用根据所选基因序列中的关键诊断核苷酸对物种进行紧凑表征的分类规则,将标本分类到物种。在本研究中,分布在印度水域的总共82种板鳃亚纲动物被作为目标群体。下载并修改了每个物种总共20 - 30个线粒体CO1序列。使用BLOG2.0软件,为所选物种组识别出物种特异性诊断核苷酸。基于已识别的诊断核苷酸位点,设计了长度范围为23 - 30 bp的物种特异性探针。这些探针可用于在定制微阵列(DNA芯片)中检测感兴趣的物种。该技术是一种强大的工具,能够快速、方便地获取大量准确信息,可用于法医应用以及印度水域板鳃亚纲动物的保护。

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