Johnson Institute of Plant Breeding, Genetics, and Genomics, Univ. of Georgia, 111 Riverbend Rd. Athens, GA.
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, Telangana, India.
Plant Genome. 2019 Nov;12(3):1-9. doi: 10.3835/plantgenome2019.03.0021.
Developed genome-wide SNP marker data for kodo, proso, and little millet Marker data used to analyze genetic diversity Heritability results of various traits used to validate genetic data Millets are a diverse group of small-seeded grains that are rich in nutrients but have received relatively little advanced plant breeding research. Millets are important to smallholder farmers in Africa and Asia because of their short growing season, good stress tolerance, and high nutritional content. To advance the study and use of these species, we present genome-wide marker datasets and population structure analyses for three minor millets: kodo millet (Paspalum scrobiculatum L.), little millet (Panicum sumatrense Roth), and proso millet (Panicum miliaceum L.).We generated genome-wide marker data sets for 190 accessions of each species with genotyping-by-sequencing (GBS). After filtering, we retained between 161 and 165 accessions of each species, with 3461, 2245, and 1882 single-nucleotide polymorphisms (SNPs) for kodo, little, and proso millet, respectively. Population genetic analysis revealed seven putative subpopulations of kodo millet and eight each of proso millet and little millet. To confirm the accuracy of this genetic data, we used public phenotype data on a subset of these accessions to estimate the heritability of various agronomically relevant phenotypes. Heritability values largely agree with the prior expectation for each phenotype, indicating that these SNPs provide an accurate genome-wide sample of genetic variation. These data represent one of first genome-wide population genetics analyses-and the most extensive-in these species and the first genomic analyses of any sort for little millet and kodo millet. These data will be a valuable resource for researchers and breeders trying to improve these crops for smallholder farmers.
开发了用于分析遗传多样性的 kodo、proso 和小米的全基因组 SNP 标记数据。使用遗传数据验证各种性状的遗传力结果。
小米是一组富含营养但受到相对较少先进植物育种研究的小粒谷物。由于其生长季节短、良好的抗逆性和高营养价值,小米对非洲和亚洲的小农户很重要。为了推进这些物种的研究和利用,我们提供了三种小谷子(kodo 小米、小米和黍)的全基因组标记数据集和群体结构分析。
我们使用测序(GBS)对每个物种的 190 个品系进行了全基因组标记数据生成。过滤后,我们保留了每个物种的 161-165 个品系,kodo、小米和黍的单核苷酸多态性(SNP)分别为 3461、2245 和 1882。群体遗传分析显示,kodo 小米有七个假定的亚群,proso 小米和小米各有八个。为了确认这些遗传数据的准确性,我们使用这些品系的一部分公共表型数据来估计各种农艺相关表型的遗传力。遗传力值在很大程度上与每个表型的先验预期一致,表明这些 SNP 提供了遗传变异的全基因组样本。
这些数据代表了这些物种中首次进行的全基因组群体遗传学分析之一——也是迄今为止对小米和 kodo 小米进行的任何类型的基因组分析。这些数据将成为试图为小农户改进这些作物的研究人员和育种者的宝贵资源。