Parallel genetic adaptation amid a background of changing effective population sizes in divergent yellow perch ( Perca flavescens ) populations

鲈鱼 适应(眼睛) 人口 生物 局部适应 动物 地理 渔业 生态学 人口学 社会学 神经科学
作者
Xiaoshen Yin,Claire E. Schraidt,Morgan M. Sparks,Peter T. Euclide,Tyler J. Hoyt,Carl R. Ruetz,Tomas O. Höök,Mark R. Christie
出处
期刊:Proceedings of The Royal Society B: Biological Sciences [Royal Society]
卷期号:292 (2038)
标识
DOI:10.1098/rspb.2024.2339
摘要

Aquatic ecosystems are highly dynamic environments vulnerable to natural and anthropogenic disturbances. High-economic-value fisheries are one of many ecosystem services affected by these disturbances, and it is critical to accurately characterize the genetic diversity and effective population sizes of valuable fish stocks through time. We used genome-wide data to reconstruct the demographic histories of economically important yellow perch (Perca flavescens) populations. In two isolated and genetically divergent populations, we provide independent evidence for simultaneous increases in effective population sizes over both historic and contemporary time scales including negative genome-wide estimates of Tajima's D, 3.1 times more single nucleotide polymorphisms than adjacent populations, and contemporary effective population sizes that have increased 10- and 47-fold from their minimum, respectively. The excess of segregating sites and negative Tajima's D values probably arose from mutations accompanying historic population expansions with insufficient time for purifying selection, whereas linkage disequilibrium-based estimates of Ne also suggest contemporary increases that may have been driven by reduced fishing pressure or environmental remediation. We also identified parallel, genetic adaptation to reduced visual clarity in the same two habitats. These results suggest that the synchrony of key ecological and evolutionary processes can drive parallel demographic and evolutionary trajectories across independent populations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dongdongqiang完成签到,获得积分10
刚刚
36456657应助yujie采纳,获得10
1秒前
K珑完成签到,获得积分10
1秒前
Demi_Ming完成签到,获得积分10
1秒前
2秒前
木子完成签到,获得积分10
2秒前
小苹果汤完成签到,获得积分10
2秒前
量子星尘发布了新的文献求助10
3秒前
传奇3应助小火苗采纳,获得10
3秒前
今后应助一一采纳,获得10
4秒前
不见高山完成签到,获得积分10
4秒前
4秒前
伶俐惋清完成签到,获得积分10
5秒前
怕黑的无招完成签到,获得积分10
5秒前
5秒前
害怕的水之完成签到,获得积分10
6秒前
6秒前
7秒前
领导范儿应助Yang采纳,获得50
7秒前
Hommand_藏山完成签到,获得积分10
7秒前
cj819发布了新的文献求助20
7秒前
凝望那片海2020完成签到,获得积分10
7秒前
淡定的水彤完成签到,获得积分10
8秒前
8秒前
谨慎含雁嘎嘎完成签到,获得积分10
8秒前
Owen应助大胆萤采纳,获得10
8秒前
Green完成签到,获得积分10
9秒前
9秒前
聪明完成签到 ,获得积分10
9秒前
10秒前
星辰大海应助两臂阿童木采纳,获得10
10秒前
11秒前
Zurlliant完成签到,获得积分10
11秒前
JunHan完成签到,获得积分10
11秒前
CipherSage应助快乐仙知采纳,获得10
11秒前
zzz完成签到,获得积分10
11秒前
eleusis完成签到 ,获得积分10
11秒前
菜鸟12号完成签到 ,获得积分10
12秒前
千寻未央发布了新的文献求助10
12秒前
高消费完成签到,获得积分10
12秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3661438
求助须知:如何正确求助?哪些是违规求助? 3222458
关于积分的说明 9746040
捐赠科研通 2932102
什么是DOI,文献DOI怎么找? 1605461
邀请新用户注册赠送积分活动 757898
科研通“疑难数据库(出版商)”最低求助积分说明 734576