Hernandez Christopher O, Labate Joanne, Reitsma Kathleen, Fabrizio Jack, Bao Kan, Fei Zhangjun, Grumet Rebecca, Mazourek Michael
Department of Agriculture Nutrition and Food Systems, University of New Hampshire, Durham, NH, United States.
Plant Genetic Resource Conservation Unit, United States Department of Agricultural Research Service, Geneva, NY, United States.
Front Plant Sci. 2023 Mar 13;14:1130814. doi: 10.3389/fpls.2023.1130814. eCollection 2023.
The genus is home to a number of economically and culturally important species. We present the analysis of genotype data generated through genotyping-by-sequencing of the USDA germplasm collections of , , and . These collections include a mixture of wild, landrace, and cultivated specimens from all over the world. Roughly 1,500 - 32,000 high-quality single nucleotide polymorphisms (SNPs) were called in each of the collections, which ranged in size from 314 to 829 accessions. Genomic analyses were conducted to characterize the diversity in each of the species. Analysis revealed extensive structure corresponding to a combination of geographical origin and morphotype/market class. Genome-wide associate studies (GWAS) were conducted using both historical and contemporary data. Signals were observed for several traits, but the strongest was for the bush () gene in . Analysis of genomic heritability, together with population structure and GWAS results, was used to demonstrate a close alignment of seed size in , maturity in , and plant habit in with genetic subgroups. These data represent a large, valuable collection of sequenced that can be used to direct the maintenance of genetic diversity, for developing breeding resources, and to help prioritize whole-genome re-sequencing.
该属包含许多具有经济和文化重要性的物种。我们展示了通过对美国农业部种质库中[具体物种1]、[具体物种2]和[具体物种3]进行简化基因组测序所产生的基因型数据的分析。这些种质库包含来自世界各地的野生、地方品种和栽培样本的混合物。每个种质库中大约检测到1500 - 32000个高质量单核苷酸多态性(SNP),种质库的样本数量从314到829份不等。进行了基因组分析以表征每个物种的多样性。分析揭示了与地理起源和形态类型/市场类别组合相对应的广泛结构。使用历史数据和当代数据进行了全基因组关联研究(GWAS)。观察到了几个性状的信号,但最强的信号是针对[具体物种1]中的矮化()基因。基因组遗传力分析,结合群体结构和GWAS结果,用于证明[具体物种1]的种子大小、[具体物种2]的成熟度和[具体物种3]的植株习性与遗传亚组密切相关。这些数据代表了大量有价值的已测序[具体物种]集合,可用于指导遗传多样性的维持、开发育种资源以及帮助确定全基因组重测序的优先级。