Galliart Matthew, Sabates Sofia, Tetreault Hannah, DeLaCruz Angel, Bryant Johnny, Alsdurf Jake, Knapp Mary, Bello Nora M, Baer Sara G, Maricle Brian R, Gibson David J, Poland Jesse, St Amand Paul, Unruh Natalie, Parrish Olivia, Johnson Loretta
Biology Kansas State University Manhattan KS USA.
State Climatologist Kansas State University Manhattan KS USA.
Evol Appl. 2020 Jun 22;13(9):2333-2356. doi: 10.1111/eva.13028. eCollection 2020 Oct.
Plant response to climate depends on a species' adaptive potential. To address this, we used reciprocal gardens to detect genetic and environmental plasticity effects on phenotypic variation and combined with genetic analyses. Four reciprocal garden sites were planted with three regional ecotypes of a dominant Great Plains prairie grass, using dry, mesic, and wet ecotypes originating from western KS to Illinois that span 500-1,200 mm rainfall/year. We aimed to answer: (a) What is the relative role of genetic constraints and phenotypic plasticity in controlling phenotypes? (b) When planted in the homesite, is there a trait syndrome for each ecotype? (c) How are genotypes and phenotypes structured by climate? and (d) What are implications of these results for response to climate change and use of ecotypes for restoration? Surprisingly, we did not detect consistent local adaptation. Rather, we detected co-gradient variation primarily for most vegetative responses. All ecotypes were stunted in western KS. Eastward, the wet ecotype was increasingly robust relative to other ecotypes. In contrast, fitness showed evidence for local adaptation in wet and dry ecotypes with wet and mesic ecotypes producing little seed in western KS. Earlier flowering time in the dry ecotype suggests adaptation to end of season drought. Considering ecotype traits in homesite, the dry ecotype was characterized by reduced canopy area and diameter, short plants, and low vegetative biomass and putatively adapted to water limitation. The wet ecotype was robust, tall with high biomass, and wide leaves putatively adapted for the highly competitive, light-limited Eastern Great Plains. Ecotype differentiation was supported by random forest classification and PCA. We detected genetic differentiation and outlier genes associated with primarily precipitation. We identified candidate gene GA1 for which allele frequency associated with plant height. Sourcing of climate adapted ecotypes should be considered for restoration.
植物对气候的响应取决于一个物种的适应潜力。为了解决这个问题,我们利用互作园来检测遗传和环境可塑性对表型变异的影响,并结合遗传分析。在四个互作园地点种植了一种大平原优势草原草的三种区域生态型,使用了来自堪萨斯州西部到伊利诺伊州的干旱、中生和湿润生态型,年降雨量跨度为500 - 1200毫米。我们旨在回答:(a) 遗传限制和表型可塑性在控制表型方面的相对作用是什么?(b) 当种植在原生地时,每种生态型是否存在性状综合征?(c) 基因型和表型如何由气候构建?以及(d) 这些结果对气候变化响应和生态型用于恢复的意义是什么?令人惊讶的是,我们没有检测到一致的本地适应性。相反,我们主要在大多数营养反应中检测到了共梯度变异。所有生态型在堪萨斯州西部都发育不良。向东,湿润生态型相对于其他生态型越来越健壮。相比之下,适合度显示出干旱和湿润生态型存在本地适应性,湿润和中生生态型在堪萨斯州西部产生的种子很少。干旱生态型较早的开花时间表明其适应季节末干旱。考虑原生地的生态型特征,干旱生态型的特点是冠层面积和直径减小、植株矮小、营养生物量低,推测适应水分限制。湿润生态型健壮、高大、生物量高、叶片宽,推测适应竞争激烈、光照有限的东部大平原。生态型分化得到随机森林分类和主成分分析的支持。我们检测到与主要降水相关的遗传分化和异常基因。我们鉴定出与株高相关的等位基因频率的候选基因GA1。在恢复过程中应考虑使用适应气候的生态型。