Microsatellites reveal weak genetic differentiation between Rutilus frisii kutum (Kamenskii, 1901) populations south of the Caspian Sea

Author:

Rezaei Mohammad1,Shabanpour Bahare2,Shabani Ali3,Kashiri Hadis4

Affiliation:

1. 1Fishery Faculty, Gorgan University of Agriculture Science and Natural Resources, Beheshti St., P.O. box 45165-386, Gorgan, Iran;, Email: rezai63.mohammad@gmail.com

2. 3Fishery Faculty, Gorgan University of Agriculture Science and Natural Resources, Beheshti St., P.O. box 45165-386, Gorgan, Iran

3. 2Fishery Faculty, Gorgan University of Agriculture Science and Natural Resources, Beheshti St., P.O. box 45165-386, Gorgan, Iran

4. 4Fishery Faculty, Gorgan University of Agriculture Science and Natural Resources, Beheshti St., P.O. box 45165-386, Gorgan, Iran

Abstract

Abstract Rutilus frisii kutum (Kamenskii, 1901) is one of the most important bony fish inhabiting the Caspian Sea. The Iranian Fisheries Organization produced up to 200 million fry to restock the Caspian Sea population annually. Loss of genetic stocks and gradual depletion of the gene pool are parameters of great concern for the future of the species. In the present study, we used ten microsatellite markers to estimate the level of genetic diversity and compare the degree of genetic differentiation among kutum populations collected from Gharesou, Tajan and Goharbaran rivers in the south of Caspian Sea. The average number of alleles per locus ranged from 4 to 12.33, while the average observed and expected heterozygosity ranged from 0.22 to 1.00 and from 0.69 to 0.88, respectively. Through AMOVA, a low level of variation between regions as well as a large percentage of total variation within population was observed. Current knowledge about artificial breeding suggests that offspring transfer between rivers has probably reduced the natural divergence naturally exists between these pools. These results could be useful for the genetic management of kutum populations.

Publisher

Brill

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3