Shaibu Abdulwahab S, Ibrahim Hassan, Miko Zainab L, Mohammed Ibrahim B, Mohammed Sanusi G, Yusuf Hauwa L, Kamara Alpha Y, Omoigui Lucky O, Karikari Benjamin
Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria.
Centre for Dryland Agriculture, Bayero University Kano, Kano 700001, Nigeria.
Plants (Basel). 2021 Dec 26;11(1):68. doi: 10.3390/plants11010068.
Knowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon's diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.
了解种质资源库的遗传结构和多样性对于通过杂交计划实现可持续遗传改良以及快速适应不断变化的育种目标至关重要。本研究的目的是利用多样性阵列技术（DArT）和单核苷酸多态性（SNP）标记来确定281份国际热带农业研究所（IITA）大豆种质的遗传多样性和群体结构，以便有效利用这些种质。结果显示，SNP和DArT标记在20条大豆染色体上分布良好。聚类分析和主成分分析通过将281份种质分为两个分层揭示了它们之间的遗传多样性，群体结构分析也明显呈现出这种分组情况，即将281份种质分为两个不同的组。分子方差分析表明，分别使用SNP和DArT标记时，97%和98%的遗传方差存在于群体内部。诸如香农多样性指数、多样性和无偏多样性等遗传多样性指数揭示了大豆种质不同群体之间的多样性。所使用的SNP和DArT标记在种质的结构、多样性和多态性方面提供了相似的信息，这表明DArT标记在遗传多样性研究中的适用性。我们的研究提供了有关IITA大豆种质遗传结构和多样性的信息，这将有助于在大豆改良计划中，特别是在非洲，有效利用这些种质。
