Institutional Repository of Key Laboratory of Marine Ecology & Environmental Sciences, CAS
| Population Genomics Reveals Shallow Genetic Structure in a Connected and Ecologically Important Fish From the Northwestern Pacific Ocean | |
Zhang, Bai-Dong1,2,3 ; Li, Yu-Long1,2,3; Xue, Dong-Xiu1,2,3; Liu, Jin-Xian1,2,3
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| 2020-05-28 | |
| 发表期刊 | FRONTIERS IN MARINE SCIENCE
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| 卷号 | 7页码:11 |
| 通讯作者 | Liu, Jin-Xian([email protected]) |
| 摘要 | Genetic variation at the genomic level is invaluable to identify fish stock structure in fisheries management. It has been widely accepted that populations of marine fishes are highly connected owing to fewer barriers to gene flow and increased connectivity resulting from greater dispersal abilities. Since population genomic approaches have increased the accessibility and resolution of population genetic data, it further facilitates to study and detect previously unidentified structures as well as signatures for natural selection in wild populations. In the present study, restriction-site associated DNA (RAD) sequencing was applied to the samples of genome-wide single nucleotide polymorphisms (SNPs) of Engraulis japonicus, a small pelagic fish of ecological and economic importance in the northwestern Pacific. To assess population genetic structure as well as detection for local adaptation of E. japonicus, a total of 389 individuals from six regional populations of the northwestern Pacific were collected and a set of 12,627 SNPs was developed. Marginal significant genetic structure (average FST value was approximately equal to 0.002) was detected between regional populations of "the Bohai Sea population (BHS)" and the "the Japan Sea population (JPS)" as well as between "the North Yellow Sea population (NYS)," and the "the Japan Sea population (JPS)". Moreover, no sign of local adaptation was detected, which might be the product of high gene flow among regional populations. Overall, our results improve the understanding of fine-scale population genetic structure in E. japonicus and potentially identify management unit in this species. |
| 关键词 | population genomics Engraulis japonicus single nucleotide polymorphism RAD-seq genetic structures |
| DOI | 10.3389/fmars.2020.00374 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | National Natural Science Foundation of China[41706162]; China Postdoctoral Science Foundation[2018M632734]; Youth Talent Support Program of the Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao)[LMEES-YTSP-2018-01-05] |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology |
| WOS类目 | Environmental Sciences ; Marine & Freshwater Biology |
| WOS记录号 | WOS:000535867000001 |
| 出版者 | FRONTIERS MEDIA SA |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/167618 |
| 专题 | 海洋生态与环境科学重点实验室 |
| 通讯作者 | Liu, Jin-Xian |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Shandong, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao, Shandong, Peoples R China |
| 第一作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
| 通讯作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
| 推荐引用方式 GB/T 7714 | Zhang, Bai-Dong,Li, Yu-Long,Xue, Dong-Xiu,et al. Population Genomics Reveals Shallow Genetic Structure in a Connected and Ecologically Important Fish From the Northwestern Pacific Ocean[J]. FRONTIERS IN MARINE SCIENCE,2020,7:11. |
| APA | Zhang, Bai-Dong,Li, Yu-Long,Xue, Dong-Xiu,&Liu, Jin-Xian.(2020).Population Genomics Reveals Shallow Genetic Structure in a Connected and Ecologically Important Fish From the Northwestern Pacific Ocean.FRONTIERS IN MARINE SCIENCE,7,11. |
| MLA | Zhang, Bai-Dong,et al."Population Genomics Reveals Shallow Genetic Structure in a Connected and Ecologically Important Fish From the Northwestern Pacific Ocean".FRONTIERS IN MARINE SCIENCE 7(2020):11. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Population Genomics （1425KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 | |
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