Singh Anuradha, Newton Linsey, Schnable James C, Thompson Addie M
Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA.
Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA.
J Exp Bot. 2025 Apr 9;76(6):1625-1643. doi: 10.1093/jxb/eraf012.
Sorghum is emerging as an ideal genetic model for designing high-biomass bioenergy crops. Biomass yield, a complex trait influenced by various plant architectural characteristics, is typically regulated by numerous genes. This study aimed to dissect the genetic regulators underlying 14 plant architectural traits and 10 biomass yield traits in the Sorghum Association Panel across two growing seasons. We identified 321 associated loci through genome-wide association studies (GWAS), involving 234 264 single nucleotide polymorphisms (SNPs). These loci include genes with known associations to biomass traits, such as maturity, dwarfing (Dw), and leafbladeless1, as well as several uncharacterized loci not previously linked to these traits. We also identified 22 pleiotropic loci associated with variation in multiple phenotypes. Three of these loci, located on chromosomes 3 (S03_15463061), 6 (S06_42790178; Dw2), and 9 (S09_57005346; Dw1), exerted significant and consistent effects on multiple traits across both growing seasons. Additionally, we identified three genomic hotspots on chromosomes 6, 7, and 9, each containing multiple SNPs associated with variation in plant architecture and biomass yield traits. Chromosome-wise correlation analyses revealed multiple blocks of positively associated SNPs located near or within the same genomic regions. Finally, genome-wide correlation-based network analysis showed that loci associated with flowering, plant height, leaf traits, plant density, and tiller number per plant were highly interconnected with other genetic loci influencing plant architectural and biomass yield traits. The pyramiding of favorable alleles related to these traits holds promise for enhancing the future development of bioenergy sorghum crops.
高粱正在成为设计高生物量生物能源作物的理想遗传模型。生物量产量是一个受多种植物结构特征影响的复杂性状,通常由众多基因调控。本研究旨在剖析高粱关联群体在两个生长季节中14个植物结构性状和10个生物量产量性状的遗传调控因子。我们通过全基因组关联研究(GWAS)鉴定出321个关联位点,涉及234264个单核苷酸多态性(SNP)。这些位点包括与生物量性状已知关联的基因,如成熟度、矮化(Dw)和无叶1,以及几个以前未与这些性状相关联的未表征位点。我们还鉴定出22个与多种表型变异相关的多效性位点。其中三个位点位于3号染色体(S03_15463061)、6号染色体(S06_42790178;Dw2)和9号染色体(S09_57005346;Dw1)上,在两个生长季节对多个性状都产生了显著且一致的影响。此外,我们在6号、7号和9号染色体上鉴定出三个基因组热点,每个热点都包含多个与植物结构和生物量产量性状变异相关的SNP。染色体水平的相关性分析揭示了位于同一基因组区域附近或内部的多个正相关SNP块。最后,基于全基因组相关性的网络分析表明,与开花、株高、叶片性状、种植密度和单株分蘖数相关的位点与影响植物结构和生物量产量性状的其他遗传位点高度互连。与这些性状相关的有利等位基因的聚合有望促进生物能源高粱作物的未来发展。