Beyond cyanogenesis: Temperature gradients drive environmental adaptation in North American white clover (Trifolium repens L.)

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Wen-Hsi Kuo, Limei Zhong, Sara J. Wright, David M. Goad, Kenneth M. Olsen
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Abstract

Species that repeatedly evolve phenotypic clines across environmental gradients have been highlighted as ideal systems for characterizing the genomic basis of local environmental adaptation. However, few studies have assessed the importance of observed phenotypic clines for local adaptation: conspicuous traits that vary clinally may not necessarily be the most critical in determining local fitness. The present study was designed to fill this gap, using a plant species characterized by repeatedly evolved adaptive phenotypic clines. White clover is naturally polymorphic for its chemical defence cyanogenesis (HCN release with tissue damage); climate-associated cyanogenesis clines have evolved throughout its native and introduced range worldwide. We performed landscape genomic analyses on 415 wild genotypes from 43 locations spanning much of the North American species range to assess the relative importance of cyanogenesis loci vs. other genomic factors in local climatic adaptation. We find clear evidence of local adaptation, with temperature-related climatic variables best describing genome-wide differentiation between sampling locations. The same climatic variables are also strongly correlated with cyanogenesis frequencies and gene copy number variations (CNVs) at cyanogenesis loci. However, landscape genomic analyses indicate no significant contribution of cyanogenesis loci to local adaptation. Instead, several genomic regions containing promising candidate genes for plant response to seasonal cues are identified — some of which are shared with previously identified QTLs for locally adaptive fitness traits in North American white clover. Our findings suggest that local adaptation in white clover is likely determined primarily by genes controlling the timing of growth and flowering in response to local seasonal cues. More generally, this work suggests that caution is warranted when considering the importance of conspicuous phenotypic clines as primary determinants of local adaptation.

超越青色发生:温度梯度驱动北美白三叶草(Trifolium repens L.)的环境适应。
在环境梯度上反复进化出表型克隆的物种被认为是表征局部环境适应性基因组基础的理想系统。然而,很少有研究评估观察到的表型连锁对局部适应的重要性:连锁变化的明显性状不一定是决定局部适应性的最关键性状。本研究旨在利用一种具有反复进化的适应性表型系的植物物种来填补这一空白。白三叶草的化学防治生氰(组织损伤时释放 HCN)具有天然的多态性;与气候相关的生氰系在其全球原生地和引进地均有进化。我们对横跨北美大部分物种分布区的 43 个地点的 415 个野生基因型进行了景观基因组分析,以评估在当地气候适应过程中产氰基因座与其他基因组因素的相对重要性。我们发现了当地适应性的明显证据,与温度相关的气候变量最能说明取样地点之间的全基因组差异。同样的气候变量也与青色发生频率和青色发生位点的基因拷贝数变异(CNVs)密切相关。然而,景观基因组分析表明,青色发生基因位点对当地适应性没有显著贡献。相反,我们发现了几个基因组区域,其中含有植物对季节性线索反应的候选基因--其中一些与之前发现的北美白三叶草局部适应性健壮性状的 QTLs 相同。我们的研究结果表明,白三叶的局部适应性可能主要由控制生长和开花时间的基因决定,以响应当地的季节性线索。更广泛地说,这项工作表明,在考虑明显的表型系作为当地适应性的主要决定因素的重要性时应谨慎。
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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
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