College of Agriculture, Tennessee State University, 3500 John A Merritt Blvd, Nashville, TN, 37208, USA.
Department of Life and Physical Sciences, Fisk University, 1000 17th Ave N, Nashville, TN, 37208, USA.
Sci Rep. 2024 Oct 23;14(1):25075. doi: 10.1038/s41598-024-76515-6.
Roots play a crucial role in plant development, serving to absorb water and nutrients from the soil while also providing structural stability. However, the impacts of global warming can impede root growth by altering soil conditions that hinder overall plant growth. To address this challenge, there is a need to screen and identify plant genotypes with superior Root System Architecture traits (RSA), that can be used for future breeding efforts in enhancing their resilience to these environmental changes. In this project, 500 mid to late-maturity soybean accessions were grown on blue blotting papers hydroponically with six replicates and assessed seven RSA traits. Genome-Wide Association Studies (GWAS) were carried out with root phenotypic data and SNP data from the SoySNP50K iSelect SNP BeadChip, using both the TASSEL 5.0 and FarmCPU techniques. A total of 26 significant SNP-trait correlations were discovered, with 11 SNPs on chromosome 13. After SNP selection, we identified 14 candidate genes within 100-kb regions flanking the SNPs, which are related to root architecture. Notably, Glyma.17G258700, which exhibited substantial differential expression in root tips and its Arabidopsis homolog, AT4G24190 (GRP94) is involved in the regulation of meristem size and organization. Other candidate genes includes Glyma.03G023000 and Glyma.13G273500 that are also play a key role in lateral root initiation and root meristem growth, respectively. These findings significantly contribute to the discovery of key genes associated with root system architecture, facilitating the breeding of resilient cultivars adaptable to changing climates.
根在植物发育中起着至关重要的作用,它们从土壤中吸收水分和养分,同时提供结构稳定性。然而,全球变暖的影响会通过改变土壤条件来阻碍根的生长,从而影响整个植物的生长。为了应对这一挑战,需要筛选和鉴定具有优良根系结构特征(RSA)的植物基因型,这些基因型可用于未来的培育工作,以增强它们对这些环境变化的适应能力。在这个项目中,500 个从中期到晚期成熟的大豆品种在蓝吸墨纸上进行水培,每个品种有 6 个重复,并评估了 7 个 RSA 特征。使用 TASSEL 5.0 和 FarmCPU 技术,对根表型数据和来自 SoySNP50K iSelect SNP BeadChip 的 SNP 数据进行全基因组关联研究(GWAS)。共发现了 26 个显著的 SNP-性状相关性,其中 13 号染色体上有 11 个 SNP。在 SNP 选择后,我们在 SNP 侧翼的 100-kb 区域内确定了 14 个候选基因,这些基因与根结构有关。值得注意的是,Glyma.17G258700 在根尖表现出显著的差异表达,其拟南芥同源物 AT4G24190(GRP94)参与调节分生组织的大小和组织。其他候选基因包括 Glyma.03G023000 和 Glyma.13G273500,它们分别在侧根起始和根分生组织生长中起着关键作用。这些发现为发现与根系结构相关的关键基因做出了重要贡献,有助于培育适应气候变化的具有弹性的品种。