Mukiti Hellen Mawia, Badu-Apraku Baffour, Abe Ayodeji, Adejumobi Idris Ishola, Derera John
Pan African University Life and Earth Sciences Institute (including Health and Agriculture), University of Ibadan, Ibadan, Oyo State, Nigeria.
International Institute of Tropical Agriculture (IITA) Ibadan, Ibadan, Nigeria.
PLoS One. 2025 Feb 24;20(2):e0316793. doi: 10.1371/journal.pone.0316793. eCollection 2025.
Maize production and productivity in sub-Saharan Africa are constrained by various factors. Assessing the genetic diversity of newly developed elite inbred lines can help identify lines with desirable genes and explore genetic relatedness for heterotic breeding. The objectives of this study were to assess the level of genetic diversity, and population structure, and identify appropriate clustering methods for assigning maize inbreds into heterotic groups. Three hundred and seventy-six elite inbreds extracted from three source populations were genotyped using Diversity Array Technology (DArTtag) mid-density platform. Results from 1904 of 3,305 SNP marker obtained revealed average marker polymorphism information content (PIC) of 0.39, observed heterozygosity of 0.02, gene diversity of 0.37, minor allele frequency of 0.29, Shannon and Simpson indices of 6.86 and 949.09, respectively, and allele richness of 787.70. The optimum sub-population was three defined by an admixture-based model and principal component analysis. The average genetic distance was 0.303 varying from 0.03 (TZEI 2772 × TZEI 2761) to 0.372 (TZEI 2273 × TZEI 2832). For appropriate heterotic classification of the 376 elite inbreds, the use of IBS distance matrix and average linkage clustering method provided the highest cophenetic correlation coefficient (0.97). Three heterotic group (HG) were identified using IBS distance and average linkage clustering method with HG 1 have 188 inbreds, HG 2 having 137, and HG 3 having 59 inbreds. The pedigree-based phylogenetic tree showed substantial consistency with the heterotic groups identified. The F-statistics based on the underlying population structure revealed 10% variation among sub-populations and 90% variation within sub-populations with a moderate level of genetic differentiation (0.10). The elite inbred lines showed a high degree of genetic diversity, which could be beneficial for developing new, early-maturing white hybrids to mitigate production constraints in sub-Saharan Africa.
撒哈拉以南非洲的玉米产量和生产力受到多种因素的制约。评估新培育的优良自交系的遗传多样性有助于识别具有理想基因的品系,并探索杂种优势育种的遗传相关性。本研究的目的是评估遗传多样性水平和群体结构,并确定将玉米自交系分配到杂种优势群的合适聚类方法。使用多样性阵列技术(DArTtag)中密度平台对从三个来源群体中提取的376个优良自交系进行基因分型。在获得的3305个SNP标记中,1904个标记的结果显示平均标记多态性信息含量(PIC)为0.39,观察杂合度为0.02,基因多样性为0.37,次要等位基因频率为0.29,香农指数和辛普森指数分别为6.86和949.09,等位基因丰富度为787.70。基于混合模型和主成分分析确定的最佳亚群数量为三个。平均遗传距离为0.303,范围从0.03(TZEI 2772×TZEI 2761)到0.372(TZEI 2273×TZEI 2832)。为了对376个优良自交系进行合适的杂种优势分类,使用IBS距离矩阵和平均连锁聚类方法提供了最高的共亲相关系数(0.97)。使用IBS距离和平均连锁聚类方法鉴定出三个杂种优势群(HG),HG 1有188个自交系,HG 2有137个,HG 3有59个自交系。基于系谱的系统发育树与鉴定出的杂种优势群显示出高度一致性。基于潜在群体结构的F统计量显示亚群间变异为10%,亚群内变异为90%,遗传分化水平适中(0.10)。这些优良自交系表现出高度的遗传多样性,这可能有利于培育新的早熟白色杂交种,以缓解撒哈拉以南非洲的生产限制。