Department of Field Crops, Ege University, Bornova, Izmir 35100, Turkey.
International Center for Agricultural Research in the Dry Areas (ICARDA), ICARDA-PreBreeding & Genebank Operations, Rabat 10000, Morocco.
Genes (Basel). 2021 Feb 25;12(3):340. doi: 10.3390/genes12030340.
Landraces are a potential source of genetic diversity and provide useful genetic resources to cope with the current and future challenges in crop breeding. Afghanistan is located close to the centre of origin of hexaploid wheat. Therefore, understanding the population structure and genetic diversity of Afghan wheat landraces is of enormous importance in breeding programmes for the development of high-yielding cultivars as well as broadening the genetic base of bread wheat. Here, a panel of 363 bread wheat landraces collected from seven north and north-eastern provinces of Afghanistan were evaluated for population structure and genetic diversity using single nucleotide polymorphic markers (SNPs). The genotyping-by-sequencing of studied landraces after quality control provided 4897 high-quality SNPs distributed across the genomes A (33.75%), B (38.73%), and D (27.50%). The population structure analysis was carried out by two methods using model-based STRUCTURE analysis and cluster-based discriminant analysis of principal components (DAPC). The analysis of molecular variance showed a higher proportion of variation within the sub-populations compared with the variation observed as a whole between sub-populations. STRUCTURE and DAPC analysis grouped the majority of the landraces from Badakhshan and Takhar together in one cluster and the landraces from Baghlan and Kunduz in a second cluster, which is in accordance with the micro-climatic conditions prevalent within the north-eastern agro-ecological zone. Genetic distance analysis was also studied to identify differences among the Afghan regions; the strongest correlation was observed for the Badakhshan and Takhar (0.003), whereas Samangan and Konarha (0.399) showed the highest genetic distance. The population structure and genetic diversity analysis highlighted the complex genetic variation present in the landraces which were highly correlated to the geographic origin and micro-climatic conditions within the agro-climatic zones of the landraces. The higher proportions of admixture could be attributed to historical unsupervised exchanges of seeds between the farmers of the central and north-eastern provinces of Afghanistan. The results of this study will provide useful information for genetic improvement in wheat and is essential for association mapping and genomic prediction studies to identify novel sources for resistance to abiotic and biotic stresses.
地方品种是遗传多样性的潜在来源,为应对作物育种当前和未来的挑战提供了有用的遗传资源。阿富汗位于六倍体小麦起源中心附近。因此,了解阿富汗小麦地方品种的群体结构和遗传多样性对于培育高产品种以及拓宽面包小麦的遗传基础至关重要。本研究利用单核苷酸多态性标记(SNPs)对来自阿富汗北部和东北部 7 个省份的 363 份面包小麦地方品种进行了群体结构和遗传多样性分析。对经过质量控制的研究地方品种进行测序分型后,共获得分布在基因组 A(33.75%)、B(38.73%)和 D(27.50%)上的 4897 个高质量 SNPs。利用基于模型的 STRUCTURE 分析和基于主成分判别分析的聚类(DAPC)两种方法进行了群体结构分析。分子方差分析表明,亚群内的变异比例高于亚群间的整体变异。STRUCTURE 和 DAPC 分析将来自巴达赫尚省和塔哈尔省的大多数地方品种聚为一组,将来自巴格兰省和昆都士省的地方品种聚为另一组,这与东北部农业生态区的小气候条件一致。还研究了遗传距离分析,以确定阿富汗各地区之间的差异;巴达赫尚省和塔哈尔省之间的相关性最强(0.003),而巴格兰省和昆都士省之间的相关性最弱(0.399)。群体结构和遗传多样性分析突出了地方品种中存在的复杂遗传变异,这与地方品种的地理起源和农业生态区的小气候条件高度相关。较高的混合比例可能归因于阿富汗中部和东北部省份的农民之间历史上对种子的无监督交流。本研究结果将为小麦的遗传改良提供有用的信息,对于关联图谱和基因组预测研究识别抗生物和非生物胁迫的新来源至关重要。