Genetic differentiation across a steep and narrow environmental gradient: Quantitative genetic and genomic insights into Lake Superior populations of Quercus rubra

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
María José Gómez Quijano, Briana L. Gross, Julie R. Etterson
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Abstract

Adaptive differentiation of traits and underlying loci can occur at a small geographical scale if natural selection is stronger than countervailing gene flow and drift. We investigated this hypothesis using coupled quantitative genetic and genomic approaches for a wind-pollinated tree species, Quercus rubra, along the steep, narrow gradient of the Lake Superior coast that encompasses four USDA Hardiness Zones within 100 km. For the quantitative genetic component of this study, we examined phenotypic differentiation among eight populations in a common garden, measuring seed mass, germination, height, stem diameter, leaf number, specific leaf area and survival. For the genomic component, we quantified genetic differentiation for 26 populations from the same region using RAD-seq. Because hybridisation with Quercus ellipsoidalis occurs in other parts of the species' range, we included two populations of this congener for comparison. In the common garden study, we found a strong signal of population differentiation that was significantly associated with at least one climate factor for nine of 10 measured traits. In contrast, we found no evidence of genomic differentiation among populations based on FST or any other measures. However, both distance-based and genotype–environment association analyses identified loci showing the signature of selection, with one locus in common across five analyses. This locus was associated with the minimum temperature of the coldest month, a factor that defines the climate zones and was also significant in the common garden analyses. In addition, we documented introgression from Q. ellipsoidalis into Q. rubra, with rates of introgression correlated with the climate gradient. In sum, this study reveals signatures of selection at the quantitative trait and genomic level consistent with climate adaptation, a pattern that is more often documented at a much broader geographical scale, especially in long-lived wind-pollinated species.

Abstract Image

跨越陡峭狭窄环境梯度的遗传分化:红栎苏必利尔湖种群的定量遗传和基因组学研究。
如果自然选择强于对抗性基因流动和漂移,性状和基本位点的适应性分化可能会在较小的地理范围内发生。我们采用定量遗传学和基因组学相结合的方法,在苏必利尔湖沿岸陡峭狭窄的梯度上对风媒树种红栎(Quercus rubra)进行了研究。在这项研究的定量遗传部分,我们考察了一个普通花园中八个种群的表型差异,测量了种子质量、发芽率、高度、茎直径、叶片数、比叶面积和存活率。在基因组方面,我们利用 RAD-seq 对同一地区 26 个种群的遗传分化进行了量化。由于在该物种分布区的其他地方存在与椭圆栎(Quercus ellipsoidalis)杂交的情况,因此我们纳入了该同源植物的两个种群进行比较。在普通花园的研究中,我们发现了种群分化的强烈信号,在 10 个测量性状中,有 9 个与至少一个气候因子显著相关。与此相反,我们没有发现基于 FST 或任何其他指标的种群间基因组分化的证据。然而,基于距离分析和基因型-环境关联分析都发现了显示选择特征的基因位点,其中一个基因位点在五项分析中都存在。该位点与最冷月份的最低气温有关,而最冷月份的最低气温是确定气候区的一个因素,在共同园分析中也很重要。此外,我们还记录了椭圆形桉树向红桉树的引种,引种率与气候梯度相关。总之,这项研究揭示了在数量性状和基因组水平上与气候适应相一致的选择特征,这种模式在更广阔的地理范围内更为常见,尤其是在长寿的风媒物种中。
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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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