Paul Hebert Centre for DNA Barcoding and Biodiversity Studies, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, 431004, India.
Department of Dairy Microbiology, College of Dairy Technology, Maharashtra Animal Science and Fisheries University, Seminari Hill, Nagpur, Maharashtra, 440001, India.
Biochem Genet. 2020 Aug;58(4):595-616. doi: 10.1007/s10528-020-09963-0. Epub 2020 Apr 13.
In India, over the past 50 years, aquaculture practices of species such as those used for Clarias batrachus were developed without adequate regulatory oversight. In these situations, it is important to consider the influence that genetic factors can have on such vulnerable aquaculture species. Population genetic structure can be evaluated through the use of neutral molecular markers, and this can aid in predicting the risk of the demise of populations and for framing management strategies to conserve remaining populations. The study presented here reports on the genetic status of C. batrachus populations through the analysis of data collected using 22 microsatellite markers from seven natural and one hatchery population. The mean values for observed heterozygosity across loci within populations ranged from 0.242 to 0.485. Measures of genetic differentiation were low overall, with mean values for F of 0.270, F of 0.113 and F of 0.353. An AMOVA analysis revealed that percentages of variation among and within populations were 27.16 and 6.86, respectively, and Bayesian clustering analyses showed a population subdivision consisting of five clusters with admixture of haplotypes from other populations leading to genetic bottleneck. We also examined how hatchery management factors leading to excessive exchanges of fish between river systems through could impact the structure of the C. batrachus populations. Overall, this study shows how the systematic use of molecular markers can facilitate the development of management policies for these populations and for the development of a comprehensive set of rules for hatcheries and aquaculture practices, including avoidance of excessive homozygosity by avoiding repeated use of feral broodstock and their interrogation.
在印度,过去 50 年来,在没有充分监管的情况下,对诸如用于养殖巴沙鱼的物种等开展了水产养殖实践。在这些情况下,必须考虑遗传因素对这些脆弱水产养殖物种的影响。可以通过使用中性分子标记来评估种群遗传结构,这有助于预测种群灭绝的风险,并制定保护剩余种群的管理策略。本研究通过对来自七个自然种群和一个孵化场种群的 22 个微卫星标记收集的数据进行分析,报告了巴沙鱼种群的遗传状况。在种群内的各个位点上观察到的杂合度的平均值范围从 0.242 到 0.485。总体而言,遗传分化的衡量标准较低,平均值分别为 F 的 0.270、F 的 0.113 和 F 的 0.353。AMOVA 分析表明,种群间和种群内的变异百分比分别为 27.16%和 6.86%,贝叶斯聚类分析显示种群分为五个亚群,存在来自其他种群的混合单倍型,导致遗传瓶颈。我们还研究了通过孵化场管理因素导致鱼类在河流系统之间过度交换如何影响巴沙鱼种群的结构。总体而言,本研究表明,系统使用分子标记可以促进这些种群的管理政策的制定,以及制定一套全面的孵化场和水产养殖实践规则,包括通过避免重复使用野生亲鱼及其检测来避免过度的纯合性。