Differential patterns of within- and between-population genetically based trait variation in Lupinus angustifolius

生物 美洲羽扇豆 遗传变异 人口 物候学 特质 性状 数量性状位点 表型可塑性 变化(天文学) 背景(考古学) 进化生物学 生态学 表型 遗传学 植物 人口学 社会学 古生物学 程序设计语言 物理 基因 天体物理学 计算机科学
作者
Cristina Poyatos,Sandra Sacristán‐Bajo,Pablo Tabarés,Samuel Prieto‐Benítez,María Luisa Rubio Teso,Elena Torres,Javier Morente‐López,Carlos Lara‐Romero,José María Iriondo,Alfredo García‐Fernández
出处
期刊:Annals of Botany [Oxford University Press]
卷期号:132 (3): 541-552
标识
DOI:10.1093/aob/mcad123
摘要

Abstract Background and aims Within-population genetic and phenotypic variation play a key role in the development of adaptive responses to environmental change. Between-population variation is also an essential element in assessing the evolutionary potential of species in response to changes in environmental conditions. In this context, common garden experiments are a useful tool to separate the genetic and environmental components of phenotypic variation. We aimed to assess within- and between-population phenotypic variation of Lupinus angustifolius L. in terms of its evolutionary potential to adapt to ongoing climate change. Methods We evaluated populations’ phenotypic variation of foliar, phenological and reproductive traits with a common garden experiment. Patterns of functional trait variation were assessed with (1) mixed model analyses and coefficients of variation (CVs) with confidence intervals, (2) principal component analyses (PCAs) and (3) correlations between pairs of traits. Analyses were performed at the population level (four populations) and at the latitude level (grouping pairs of populations located in two latitudinal ranges). Key Results Phenotypic variation had a significant genetic component associated with a latitudinal pattern. (1) Mixed models found lower specific leaf area, advanced flowering phenology and lower seed production of heavier seeds in southern populations, whereas CV analyses showed lower within-latitude variation especially in phenological and reproductive traits in southern populations. (2) PCAs showed a clearer differentiation of phenotypic variation between latitudes than between populations. (3) Correlation analyses showed a greater number of significant correlations between traits in southern populations (25 vs. 13). Conclusions Between-population phenotypic variation was determined by contrasting temperature and drought at different latitude and elevation. Southern populations had differential trait values compatible with adaptations to high temperatures and drought. Moreover, they had lower within-population variation and a greater number of trait correlations probably as a result of these limiting conditions, making them more vulnerable to climate change.
最长约 10秒,即可获得该文献文件

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
森樱完成签到,获得积分10
刚刚
1秒前
12发布了新的文献求助10
1秒前
耍酷水杯完成签到,获得积分10
1秒前
2秒前
狂跳的脉搏完成签到,获得积分10
2秒前
2秒前
CodeCraft应助zuo20050727采纳,获得10
3秒前
逍遥浪子完成签到 ,获得积分20
3秒前
森樱发布了新的文献求助10
4秒前
招财猫耶完成签到 ,获得积分10
4秒前
ww完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
4秒前
8R60d8应助Emilio采纳,获得10
5秒前
riot完成签到,获得积分10
5秒前
yiyi完成签到,获得积分20
5秒前
少年游完成签到,获得积分10
5秒前
科研通AI6.2应助wang采纳,获得10
6秒前
情怀应助雪白绿旋采纳,获得10
6秒前
7秒前
lhh发布了新的文献求助10
7秒前
缓慢翠芙发布了新的文献求助10
7秒前
sususu发布了新的文献求助10
8秒前
远谋菠萝莓完成签到,获得积分10
8秒前
星星完成签到,获得积分10
8秒前
大个应助高贵冰烟采纳,获得10
9秒前
Alice001发布了新的文献求助10
9秒前
吴晨曦发布了新的文献求助10
9秒前
10秒前
10秒前
积极无敌发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
hh发布了新的文献求助10
11秒前
爆米花应助你来苹苹梨采纳,获得10
11秒前
12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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7737643
求助须知:如何正确求助?哪些是违规求助? 9286879
关于积分的说明 20180429
捐赠科研通 7315471
什么是DOI,文献DOI怎么找? 3305617
关于科研通互助平台的介绍 2457870
邀请新用户注册赠送积分活动 2315270