Department of Plant Breeding and Genetics, Punjab Agricultural University, Punjab, 141004, Ludhiana, India.
Plant Mol Biol. 2021 Jan;105(1-2):161-175. doi: 10.1007/s11103-020-01076-x. Epub 2020 Sep 30.
Genome wide association studies allowed prediction of 17 candidate genes for association with nitrogen use efficiency. Novel information obtained may provide better understanding of genomic controls underlying germplasm variations for this trait in Indian mustard. Nitrogen use efficiency (NUE) of Indian mustard (Brassica juncea (L.) Czern & Coss.) is low and most breeding efforts to combine NUE with crop performance have not succeeded. Underlying genetics also remain unexplored. We tested 92 SNP-genotyped inbred lines for yield component traits, N uptake efficiency (NUPEFF), nitrogen utilization efficiency (NUTEFF), nitrogen harvest index (NHI) and NUE for two years at two nitrogen doses (N without added N and N added @100 kg/ha). Genotypes IC-2489-88, M-633, MCP-632, HUJM 1080, GR-325 and DJ-65 recorded high NUE at low N. These also showed improved crop performance under high N. One determinate mustard genotype DJ-113 DT-3 revealed maximum NUTEFF. Genome wide association studies (GWAS) facilitated recognition of 17 quantitative trait loci (QTLs). Environment specificity was high. B-genome chromosomes (B02, B03, B05, B07 and B08) harbored many useful loci. We also used regional association mapping (RAM) to supplement results from GWAS. Annotation of the genomic regions around peak SNPs helped to predict several gene candidates for root architecture, N uptake, assimilation and remobilization. CAT9 (At1g05940) was consistently envisaged for both NUE and NUPEFF. Major N transporter genes, NRT1.8 and NRT3.1 were predicted for explaining variation for NUTEFF and NUPEFF, respectively. Most significant amino acid transporter gene, AAP1 appeared associated with NUE under limited N conditions. All these candidates were predicted in the regions of high linkage disequilibrium. Sequence information of the predicted candidate genes will permit development of molecular markers to aid breeding for high NUE.
全基因组关联研究允许预测 17 个与氮利用效率相关的候选基因。获得的新信息可能有助于更好地理解芥菜氮素利用效率的遗传控制。芥菜(芸薹属(L.)Czern 和 Coss.)氮素利用效率(NUE)低,大多数将氮素利用效率与作物产量相结合的育种工作都没有成功。潜在的遗传基础也尚未得到探索。我们在两年的两个氮剂量(不添加氮和添加 100 kg/ha 的氮)下,对 92 个 SNP 基因型近交系进行了产量构成性状、氮吸收效率(NUPEFF)、氮利用效率(NUTEFF)、氮收获指数(NHI)和氮利用效率(NUE)的测试。基因型 IC-2489-88、M-633、MCP-632、HUJM 1080、GR-325 和 DJ-65 在低氮条件下记录了高氮利用效率,在高氮条件下也表现出了更好的作物产量。一个确定的芥菜基因型 DJ-113 DT-3 表现出最大的 NUTEFF。全基因组关联研究(GWAS)有助于识别 17 个数量性状位点(QTLs)。环境特异性很高。B 基因组染色体(B02、B03、B05、B07 和 B08)含有许多有用的基因座。我们还使用区域关联作图(RAM)来补充 GWAS 的结果。围绕峰 SNP 的基因组区域注释有助于预测几个与根结构、氮吸收、同化和再利用相关的基因候选者。CAT9(At1g05940)被一致地设想用于 NUE 和 NUPEFF。主要的氮转运基因 NRT1.8 和 NRT3.1 分别被预测用于解释 NUTEFF 和 NUPEFF 的变异。最重要的氨基酸转运基因 AAP1 出现在低氮条件下与 NUE 相关。所有这些候选基因都被预测在高连锁不平衡区域。预测候选基因的序列信息将允许开发分子标记,以帮助高氮利用效率的选育。