Department of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
National Institute of Crop Science, Rural Development Administration, Miryang 50463, Korea.
Genes (Basel). 2020 Nov 25;11(12):1395. doi: 10.3390/genes11121395.
Root network structure plays a crucial role in growth and development processes in rice. Longer, more branched root structures help plants to assimilate water and nutrition from soil, support robust plant growth, and improve resilience to stresses such as disease. Understanding the molecular basis of root development through screening of root-related traits in rice germplasms is critical to future rice breeding programs. This study used a small germplasm collection of 137 rice varieties chosen from the Korean rice core set (KRICE_CORE) to identify loci linked to root development. Two million high-quality single nucleotide polymorphisms (SNPs) were used as the genotype, with maximum root length (MRL) and total root weight (TRW) in seedlings used as the phenotype. Genome-wide association study (GWAS) combined with Principal Components Analysis (PCA) and Kinship matrix analysis identified four quantitative trait loci (QTLs) on chromosomes 3, 6, and 8. Two QTLs were linked to MRL and two were related to TRW. Analysis of Linkage Disequilibrium (LD) decay identified a 230 kb exploratory range for detection of candidate root-related genes. Candidates were filtered using RNA-seq data, gene annotations, and quantitative real-time PCR (qRT-PCR), and five previously characterized genes related to root development were identified, as well as four novel candidate genes. Promoter analysis of candidate genes showed that and contained SNPs with the potential to impact gene expression in root-related promoter motifs. Haplotype analysis of candidate genes revealed diverse haplotypes that were significantly associated with phenotypic variation. Taken together, these results indicate that and are strong candidate genes for root development functions. The significant haplotypes identified in this study will be beneficial in future breeding programs for root improvement.
根网络结构在水稻的生长和发育过程中起着至关重要的作用。更长、更多分枝的根结构有助于植物从土壤中吸收水分和养分,支持植物的健壮生长,并提高对疾病等胁迫的抵抗力。通过筛选水稻种质资源中的根相关性状,了解根发育的分子基础对于未来的水稻育种计划至关重要。本研究利用从小麦核心种质库(KRICE_CORE)中选择的 137 个水稻品种的小种质库,鉴定与根发育相关的基因座。使用 200 万个高质量的单核苷酸多态性(SNP)作为基因型,以幼苗期的最大根长(MRL)和总根重(TRW)作为表型。全基因组关联研究(GWAS)结合主成分分析(PCA)和亲缘关系矩阵分析,在第 3、6 和 8 号染色体上鉴定到 4 个数量性状基因座(QTLs)。其中 2 个 QTL 与 MRL 有关,2 个与 TRW 有关。连锁不平衡(LD)衰减分析确定了一个 230kb 的探索范围,用于检测候选的根相关基因。利用 RNA-seq 数据、基因注释和定量实时 PCR(qRT-PCR)对候选基因进行过滤,鉴定出 5 个与根发育相关的先前表征基因和 4 个新的候选基因。候选基因的启动子分析表明, 和 含有可能影响根相关启动子基序中基因表达的 SNP。候选基因的单倍型分析表明,存在与表型变异显著相关的多样化单倍型。综上所述,这些结果表明 和 是根发育功能的强候选基因。本研究中鉴定的显著单倍型将有助于未来的根改良育种计划。
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