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通过对卡西梅杜渔港的海鳗进行DNA条形码分析实现海鳗(鳗鲡目:康吉鳗科)的基因鉴定

Genetic identification of marine eels (Anguilliformes: Congroidei) through DNA barcoding from Kasimedu fishing harbour.

作者信息

Bhaskar Ranjana, Das Mrinal Kumar, Sharon E Agnita, Kumar Rupavath Rajendar, R G Chandika

机构信息

Zoological Survey of India, Southern Regional Centre, Chennai, India.

Zoological Survey of India, Marine Biology Regional Centre, Chennai, India.

出版信息

Mitochondrial DNA B Resour. 2021 Nov 11;6(12):3354-3361. doi: 10.1080/23802359.2021.1996291. eCollection 2021.

Abstract

Along with the mysteries of their body's shape like snakes, marine eels have fascinated biologists for centuries. Information on the molecular taxonomy of marine eels is scarce from the Southeast Indian region and hence, the present study aimed to barcode marine eels collected from Kasimedu fishing harbor, Chennai, Tamil Nadu. A total of 44 specimens were collected and DNA barcoding was done with a COI marker. The evolutionary history was inferred using the BA method. We observed 17 species, 10 genera, 4 families from the suborder Congroidei of which the genus Ariosoma and Conger were found to be predominant. The species of the family Muraenesocidae and Congridae are highly variable. The average Kimura two-parameter (K2P) distances within species, genera, and families were 3.08%, 6.80%, 13.80%, respectively. Maximum genetic distance (0.307) was observed between the species and 1. BA tree topology revealed distinct clusters in concurrence with the taxonomic status of the species. A deeper split was observed in . We sequenced for the first-time barcode of and a new species is the gap-filling in identifying this taxon in the Indian context. We found a correct match between morphological and genetic identification of the species analyzed, depending on the cluster analysis performed (BINs and ASAP). This demonstrates that the COI gene sequence is suitable for phylogenetic analysis and species identification.

摘要

海鳗身体形状如蛇,充满神秘色彩,几个世纪以来一直吸引着生物学家。来自印度东南部地区的海鳗分子分类学信息匮乏,因此,本研究旨在对从泰米尔纳德邦钦奈卡西梅杜渔港采集的海鳗进行条形码分析。共采集了44个样本,并使用细胞色素氧化酶亚基I(COI)标记进行DNA条形码分析。采用贝叶斯分析(BA)方法推断进化历史。我们从海鳗亚目康吉鳗科中观察到17个物种、10个属、4个科,其中阿里索鳗属和海鳗属占主导地位。海鳗科和康吉鳗科的物种差异很大。种内、属内和科内的平均Kimura双参数(K2P)距离分别为3.08%、6.80%、13.80%。在物种 和 之间观察到最大遗传距离(0.307)。贝叶斯分析树拓扑结构显示与物种的分类地位一致的明显聚类。在 中观察到更深的分歧。我们首次对 的条形码进行了测序,一个新物种 在印度背景下填补了识别该分类单元的空白。根据进行的聚类分析(BINs和ASAP),我们发现所分析物种的形态学和遗传学鉴定之间存在正确匹配。这表明COI基因序列适用于系统发育分析和物种鉴定。

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