Crop Improvement Division, Indian Council of Agricultural Research (ICAR)-National Rice Research Institute (NRRI), Cuttack, India.
Department of Plant Breeding and Genetics, Odisha University of Agriculture & Technology, Bhubaneswar, India.
Funct Integr Genomics. 2024 Oct 25;24(6):198. doi: 10.1007/s10142-024-01478-w.
Resource-poor areas with moisture deficit lands following aerobic and direct seeded rice (DSR) methods of cultivation face severe problems of iron deficiency. In this study, Bengal and Assam Aus rice panel was phenotyped at the seedling stage using an iron-deprived hydroponic medium for various shoot and root traits. A novel iron deficiency scoring scale was used to classify the tolerance reaction and could range anywhere between 0 and 9, indicating the most tolerant and susceptible, respectively. The GWAS results identified four putative candidate genes; OsFLA for number of leaves and shoot length, OsBIDK1 for root traits; average diameter, volume, biomass, projected area, and surface area, OsHPL3 for chlorophyll index of the third leaf and AKR2B (XBOS252) was for Fe score, (which was earlier reported in relation to Xa21). The nsSNP (nsSNPs) variations in these gene sequences were used to group the panel and identify superior haplotypes and donors. BR16 was identified as a superior donor, with higher chlorophyll index and shoot length than RA23, also higher values for root traits like root average diameter, root volume, root projected area and root surface area followed by Shete Bhado. The impact of identified nsSNPs on protein structure and stability was investigated. The conserved domains detected in the mutated proteins of the superior haplotypes are very informative, highlighting that natural selection favors abiotic stress tolerant variants in resource poor areas. Thus, justifying our choice of Aus landraces for association mapping of Fe deficiency tolerant genes in rice.
在采用有氧直播稻（DSR）种植方法的资源匮乏且缺水地区，存在严重的缺铁问题。在这项研究中，使用缺铁水培介质在幼苗期对孟加拉和阿萨姆 Aus 水稻品系进行表型分析，以研究各种地上部和地下部性状。使用新的缺铁评分标准来对耐受性反应进行分类，范围可以在 0 到 9 之间，分别表示最耐受和最敏感的品系。GWAS 结果确定了四个候选基因，包括 OsFLA（叶数和苗长）、OsBIDK1（根系性状；平均直径、体积、生物量、投影面积和表面积）、OsHPL3（第三叶的叶绿素指数）和 AKR2B（XBOS252）（Fe 评分，以前曾报道过与 Xa21 有关）。这些基因序列中的非同义 SNP（nsSNPs）变异被用来对品系进行分组，并鉴定出优良的单倍型和供体。BR16 被鉴定为优良的供体，其叶绿素指数和苗长均高于 RA23，而且根平均直径、根体积、根投影面积和根表面积等根系性状也更高，其次是 Shete Bhado。还研究了鉴定出的 nsSNPs 对蛋白质结构和稳定性的影响。在优良单倍型的突变蛋白中检测到的保守结构域非常有信息量，突出表明自然选择有利于资源匮乏地区对非生物胁迫耐受的变异体。因此， justifies our choice of Aus landraces for association mapping of Fe deficiency tolerant genes in rice. 选择 Aus 水稻品系进行铁缺乏耐受基因的关联作图是合理的。
