Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
Genetics, Indian Agricultural Research Institute, Delhi, Delhi, India.
PeerJ. 2024 Jan 26;12:e16653. doi: 10.7717/peerj.16653. eCollection 2024.
Yellow mosaic disease (YMD) remains a major constraint in mungbean ( (L.)) production; while short-duration genotypes offer multiple crop cycles per year and help in escaping terminal heat stress, especially during summer cultivation. A comprehensive genotyping by sequencing (GBS)-based genome-wide association studies (GWAS) analysis was conducted using 132 diverse mungbean genotypes for traits like flowering time, YMD resistance, soil plant analysis development (SPAD) value, trichome density, and leaf area. The frequency distribution revealed a wide range of values for all the traits. GBS studies identified 31,953 high-quality single nucleotide polymorphism (SNPs) across all 11 mungbean chromosomes and were used for GWAS. Structure analysis revealed the presence of two genetically distinct populations based on ΔK. The linkage disequilibrium (LD) varied throughout the chromosomes and at = 0.2, the mean LD decay was estimated as 39.59 kb. Two statistical models, mixed linear model (MLM) and Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) identified 44 shared SNPs linked with various candidate genes. Notable candidate genes identified include for flowering time (VRADI10G01470; chr. 10), TIR-NBS-LRR for mungbean yellow mosaic India virus (MYMIV) resistance (VRADI09G06940; chr. 9), E3 ubiquitin-protein ligase RIE1 for SPAD value (VRADI07G28100; chr. 11), WRKY family transcription factor for leaf area (VRADI03G06560; chr. 3), and LOB domain-containing protein 21 for trichomes (VRADI06G04290; chr. 6). validation of candidate genes was done through digital gene expression analysis using orthologous (compared with genome). The findings provided valuable insight for marker-assisted breeding aiming for the development of YMD-resistant and early-maturing mungbean varieties.
黄化花叶病(YMD)仍然是绿豆生产的主要限制因素;而短生育期基因型每年提供多个作物周期,有助于躲避高温热胁迫,特别是在夏季种植期间。本研究使用 132 个不同的绿豆基因型进行了全面的基于测序的基因型分型(GBS)全基因组关联研究(GWAS)分析,这些基因型具有开花时间、YMD 抗性、叶绿素含量(SPAD 值)、毛状体密度和叶面积等性状。频率分布显示所有性状的数值范围都很广。GBS 研究在所有 11 条绿豆染色体上鉴定出了 31953 个高质量的单核苷酸多态性(SNP),并用于 GWAS。结构分析显示,基于 ΔK 存在两个遗传上不同的群体。连锁不平衡(LD)在整个染色体上变化,在 = 0.2 时,平均 LD 衰减估计为 39.59 kb。两种统计模型,混合线性模型(MLM)和贝叶斯信息和连锁不平衡迭代嵌套关键(BLINK),确定了 44 个与各种候选基因相关的共享 SNP。鉴定出的显著候选基因包括开花时间的 (VRADI10G01470;chr.10)、绿豆黄化花叶印度病毒(MYMIV)抗性的 TIR-NBS-LRR (VRADI09G06940;chr.9)、SPAD 值的 E3 泛素蛋白连接酶 RIE1 (VRADI07G28100;chr.11)、叶面积的 WRKY 家族转录因子(VRADI03G06560;chr.3)和毛状体的 LOB 结构域蛋白 21 (VRADI06G04290;chr.6)。通过使用同源(与 基因组相比)的数字基因表达分析对候选基因进行了 验证。这些发现为旨在开发 YMD 抗性和早熟绿豆品种的标记辅助育种提供了有价值的见解。