The elongate ilisha (Ilisha elongata) is an important commercial species found along the Northwestern Pacific Coast. A sharp decline in the annual catch of I. elongata over recent decades implies a concerning situation regarding its fishery stocks. Nonetheless, inadequate knowledge of the genetic diversity, population structure, and historical demography of this species has hindered the establishment of sustainable fishery policies and appropriate conservation measures. In this study, the genetic structure and population demography of I. elongata stocks along the Northwestern Pacific Coast were examined using target-gene enrichment data from 144 I. elongata individuals collected from 18 locations. The analysis revealed an average heterozygosity value of 0.2321 across variable sites in all I. elongata populations. Furthermore, inter-population differentiation is relatively low, with most geographical populations displaying minimal genetic distinctions or none from one another. Population clustering analysis identified four lineages of I. elongata stocks. Through historical demography simulations, it was proposed that the Yalu River Estuary population diverged initially around 32,802 generations before present, while the remaining lineage split into two about 9120 generations ago. One lineage represents the southern population, while the other further separated into the northern population and the Japanese population approximately 4200 generations ago. Furthermore, secondary contact between the southern and northern population was evidenced by either population clustering or demography simulation results. These results underscore that the current phylogeographic patterns of I. elongata may result from directional selection due to low temperature and geographic barriers during and post glacial periods.
Population Patterns and Dynamics of Ilisha elongata (Clupeiformes: Pristigasteridae) Revealed by Target Enrichment Data.
通过目标富集数据揭示长须鲱(鲱形目:鲱科)的种群模式和动态
阅读:23
作者:Wang Qian, Hu Jiantao, Wu Tianqin, Wang Wenhao, Zhang Jie, Kim Jin-Koo, Li Chenhong
| 期刊: | Evolutionary Applications | 影响因子: | 3.200 |
| 时间: | 2025 | 起止号: | 2025 Aug 6; 18(8):e70142 |
| doi: | 10.1111/eva.70142 | 研究方向: | 其它 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
