Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
Center of Excellence for Advanced Materials Research, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Heredity (Edinb). 2020 Jan;124(1):108-121. doi: 10.1038/s41437-019-0249-4. Epub 2019 Jul 17.
Seed mass is a key component of adaptation in plants and a determinant of yield in crops. The climatic drivers and genomic basis of seed mass variation remain poorly understood. In the cereal crop Sorghum bicolor, globally-distributed landraces harbor abundant variation in seed mass, which is associated with precipitation in their agroclimatic zones of origin. This study aimed to test the hypothesis that diversifying selection across precipitation gradients, acting on ancestral cereal grain size regulators, underlies seed mass variation in global sorghum germplasm. We tested this hypothesis in a set of 1901 georeferenced and genotyped sorghum landraces, 100-seed mass from common gardens, and bioclimatic precipitation variables. As predicted, 100-seed mass in global germplasm varies significantly among botanical races and is correlated to proxies of the precipitation gradients. With general and mixed linear model genome-wide associations, we identified 29 and 56 of 100 a priori candidate seed size genes with polymorphisms in the top 1% of seed mass association, respectively. Eleven of these genes harbor polymorphisms associated with the precipitation gradient, including orthologs of genes that regulate seed size in other cereals. With FarmCPU, 13 significant SNPs were identified, including one at an a priori candidate gene. Finally, we identified eleven colocalized outlier SNPs associated with seed mass and precipitation that also carry signatures of selection based on F scans and PCAdapt, which represents a significant enrichment. Our findings suggest that seed mass in sorghum was shaped by diversifying selection on drought stress, and can inform genomics-enabled breeding for climate-resilient cereals.
种子质量是植物适应环境的关键组成部分,也是作物产量的决定因素。种子质量的气候驱动因素和基因组基础仍知之甚少。在谷类作物高粱中,全球分布的地方品种在种子质量上存在丰富的变异,这与它们起源的农业气候带的降水有关。本研究旨在检验以下假设:在降水梯度上的多样化选择作用于祖先谷物大小调节剂,是全球高粱种质中种子质量变异的基础。我们在一组 1901 个地理参考和基因分型的高粱地方品种、100 粒种子的公共花园和生物气候降水变量中检验了这一假设。正如预期的那样,全球种质中的 100 粒种子在植物学品种之间存在显著差异,与降水梯度的代表相关。通过广义和混合线性模型全基因组关联分析,我们在 100 个先验候选种子大小基因中分别确定了 29 个和 56 个与种子质量关联的前 1%多态性。其中 11 个基因携带有与降水梯度相关的多态性,包括调节其他谷物种子大小的基因的同源物。利用 FarmCPU,鉴定出 13 个显著 SNP,包括一个在先验候选基因中。最后,我们鉴定出 11 个与种子质量和降水相关的共定位异常 SNP,这些 SNP 也携带基于 F 扫描和 PCAdapt 的选择信号,这代表了显著的富集。我们的研究结果表明,高粱的种子质量是由干旱胁迫下的多样化选择形成的,这可以为具有气候适应性的谷物的基因组学辅助育种提供信息。