Sah Rameswar Prasad, Behera Sasmita, Dash Sushant Kumar, Azharudheen T P Muhammed, Meher Jitendriya, Kumar Awadhesh, Marndi Bishnu Charan, Kar Meera Kumari, Subudhi H N, Anilkumar C
Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Crop Physiology and Biochemistry, ICAR-National Rice Research Institute, Cuttack, Odisha India.
Physiol Mol Biol Plants. 2022 Jun;28(6):1217-1232. doi: 10.1007/s12298-022-01190-8. Epub 2022 Jul 8.
Assessing genetic diversity and development of a core set of elite breeding lines is a prerequisite for selective hybridization programes intended to improve the yield potential in rice. In the present study, the genetic diversity of newly developed elite lines derived from and crosses were estimated by 38 reported molecular markers. The markers used in the study consist of 24 gene-based and 14 random markers related to grain yield-related QTLs distributed across the rice genome. Genotypic characterization was carried out to determine the genetic similarities between the elite lines. In total, 75 alleles were found using 38 polymorphic markers, with polymorphism information content ranging from 0.10 to 0.51 with an average of 0.35. The genotypes were divided into three groups based on cluster analysis, structure analysis and also dispersed throughout the quadrangle of PCA, but nitrogen responsive lines clustered in one quadrangle. Seven markers (GS3_RGS1, GS3_RGS2, GS5_Indel1, Ghd 7_05SNP, RM 12289, RM 23065 and RM 25457) exhibited PIC values ≥ 0.50 indicating that they were effective in detecting genetic relationships among elite rice. Additionally, a core set of 11 elite lines was made from 96 lines in order to downsize the diversity of the original population into a small set for parental selection. In general, the genetic information collected in this work will aid in the study of grain yield traits at molecular level for other sets of rice genotypes and for selecting diverse elite lines to develop a strong crossing programme in rice.
The online version contains supplementary material available at 10.1007/s12298-022-01190-8.
评估遗传多样性并开发一套核心优良育种系是旨在提高水稻产量潜力的选择性杂交计划的先决条件。在本研究中，利用38个已报道的分子标记估计了从[亲本名称1]和[亲本名称2]杂交后代中新培育的优良品系的遗传多样性。本研究中使用的标记包括24个基于基因的标记和14个与分布在水稻基因组中的产量相关QTL相关的随机标记。进行了基因型鉴定以确定优良品系之间的遗传相似性。使用38个多态性标记共发现75个等位基因，多态性信息含量范围为0.10至0.51，平均为0.35。基于聚类分析、结构分析，基因型被分为三组，并且在主成分分析的四边形中也有分散分布，但氮响应品系聚集在一个四边形中。七个标记（GS3_RGS1、GS3_RGS2、GS5_Indel1、Ghd 7_05SNP、RM 12289、RM 23065和RM 25457）的PIC值≥0.50，表明它们在检测优良水稻之间的遗传关系方面是有效的。此外，从96个品系中选出了11个优良品系的核心集，以便将原始群体的多样性缩小为一个小集合用于亲本选择。总体而言，本研究收集的遗传信息将有助于在分子水平上研究其他水稻基因型组的产量性状，并有助于选择不同的优良品系以开展强大的水稻杂交计划。
在线版本包含可在10.1007/s12298-022-01190-8获取的补充材料。
