Measuring recent effective gene flow among large populations in Pinus sylvestris: Local pollen shedding does not preclude substantial long-distance pollen immigration

作者
Azucena Jiménez‐Ramírez,Delphine Grivet,Juan José Robledo‐Arnuncio
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:16 (8): e0255776-e0255776 被引量:23
标识
DOI:10.1371/journal.pone.0255776
摘要

The estimation of recent gene flow rates among vast and often weakly genetically differentiated tree populations remains a great challenge. Yet, empirical information would help understanding the interaction between gene flow and local adaptation in present-day non-equilibrium forests. We investigate here recent gene flow rates between two large native Scots pine (Pinus sylvestris L.) populations in central Iberian Peninsula (Spain), which grow on contrasting edaphic conditions six kilometers apart from each other and show substantial quantitative trait divergence in common garden experiments. Using a sample of 1,200 adult and offspring chloroplast-microsatellite haplotypes and a Bayesian inference model, we estimated substantial male gametic gene flow rates (8 and 21%) between the two natural populations, and even greater estimated immigration rates (42 and 64%) from nearby plantations into the two natural populations. Our results suggest that local pollen shedding within large tree populations does not preclude long-distance pollen immigration from large external sources, supporting the role of gene flow as a homogenizing evolutionary force contributing to low molecular genetic differentiation among populations of widely distributed wind-pollinated species. Our results also indicate the high potential for reproductive connectivity in large fragmented populations of wind-pollinated trees, and draw attention to a potential scenario of adaptive genetic divergence in quantitative traits under high gene flow.

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
十一发布了新的文献求助10
刚刚
2秒前
辣也行完成签到,获得积分10
4秒前
情怀的应助被Zhou采纳,获得10
5秒前
LILIYI发布了新的文献求助10
7秒前
8秒前
CHINA_CNN发布了新的文献求助10
12秒前
12秒前
Jasper的应助被yyyyy采纳,获得10
13秒前
Dean的应助被yyyyy采纳,获得50
13秒前
科研通AI6.4的应助被yyyyy采纳,获得10
13秒前
zyn完成签到,获得积分10
13秒前
在水一方的应助被yyyyy采纳,获得10
13秒前
科研通AI6.4的应助被yyyyy采纳,获得10
13秒前
13秒前
深情安青的应助被yyyyy采纳,获得30
13秒前
K2C完成签到,获得积分10
14秒前
15秒前
热情友桃发布了新的文献求助10
17秒前
qiuhai完成签到,获得积分10
19秒前
deer完成签到,获得积分10
20秒前
小杨完成签到,获得积分10
20秒前
小敏完成签到,获得积分10
20秒前
Eric发布了新的文献求助10
21秒前
钟爱小奏完成签到,获得积分10
21秒前
23秒前
Arnold_wang的应助被科研通管家采纳,获得10
24秒前
洋洋的应助被科研通管家采纳,获得10
24秒前
Hello的应助被科研通管家采纳,获得10
24秒前
24秒前
大个的应助被科研通管家采纳,获得10
24秒前
24秒前
小马甲的应助被科研通管家采纳,获得10
25秒前
小马甲的应助被科研通管家采纳,获得10
25秒前
DOC_XIONG的应助被科研通管家采纳,获得10
25秒前
天天快乐的应助被科研通管家采纳,获得10
25秒前
25秒前
汉堡包的应助被科研通管家采纳,获得10
25秒前
星星完成签到 ,获得积分10
25秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research 1000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7782945
求助须知:如何正确求助?哪些是违规求助? 9322273
关于积分的说明 20388679
捐赠科研通 7371511
什么是DOI,文献DOI怎么找? 3320484
关于科研通互助平台的介绍 2468534
邀请新用户注册赠送积分活动 2336638