Oteng-Frimpong Richard, Karikari Benjamin, Sie Emmanuel Kofi, Kassim Yussif Baba, Puozaa Doris Kanvenaa, Rasheed Masawudu Abdul, Fonceka Daniel, Okello David Kallule, Balota Maria, Burow Mark, Ozias-Akins Peggy
Groundnut Improvement Program, Council for Scientific and Industrial Research (CSIR)-Savanna Agricultural Research Institute, Tamale, Ghana.
Department of Agricultural Biotechnology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana.
Front Plant Sci. 2023 Jan 5;13:1076744. doi: 10.3389/fpls.2022.1076744. eCollection 2022.
Early leaf spot (ELS) and late leaf spot (LLS) diseases are the two most destructive groundnut diseases in Ghana resulting in ≤ 70% yield losses which is controlled largely by chemical method. To develop leaf spot resistant varieties, the present study was undertaken to identify single nucleotide polymorphism (SNP) markers and putative candidate genes underlying both ELS and LLS. In this study, six multi-locus models of genome-wide association study were conducted with the best linear unbiased predictor obtained from 294 African groundnut germplasm screened for ELS and LLS as well as image-based indices of leaf spot diseases severity in 2020 and 2021 and 8,772 high-quality SNPs from a 48 K SNP array Axiom platform. Ninety-seven SNPs associated with ELS, LLS and five image-based indices across the chromosomes in the 2 two sub-genomes. From these, twenty-nine unique SNPs were detected by at least two models for one or more traits across 16 chromosomes with explained phenotypic variation ranging from 0.01 - 62.76%, with exception of chromosome (Chr) 08 (Chr08), Chr10, Chr11, and Chr19. Seventeen potential candidate genes were predicted at ± 300 kbp of the stable/prominent SNP positions (12 and 5, down- and upstream, respectively). The results from this study provide a basis for understanding the genetic architecture of ELS and LLS diseases in African groundnut germplasm, and the associated SNPs and predicted candidate genes would be valuable for breeding leaf spot diseases resistant varieties upon further validation.
早叶斑病(ELS)和晚叶斑病(LLS)是加纳最具破坏性的两种花生病害,会导致高达70%的产量损失,目前主要通过化学方法进行防治。为了培育抗叶斑病品种,本研究旨在鉴定与早叶斑病和晚叶斑病相关的单核苷酸多态性(SNP)标记和推定的候选基因。在本研究中,利用从294份非洲花生种质中筛选出的早叶斑病和晚叶斑病以及2020年和2021年叶斑病严重程度的基于图像的指数,以及来自48K SNP阵列Axiom平台的8772个高质量SNP,进行了六种全基因组关联研究的多位点模型分析。在两个亚基因组的染色体上,共鉴定出97个与早叶斑病、晚叶斑病和五个基于图像的指数相关的SNP。其中,在16条染色体上,至少有两个模型检测到29个独特的SNP与一个或多个性状相关,解释的表型变异范围为0.01%-62.76%,8号染色体(Chr08)、10号染色体、11号染色体和19号染色体除外。在稳定/显著SNP位置的±300kbp范围内预测了17个潜在的候选基因(分别在下游和上游各12个和5个)。本研究结果为理解非洲花生种质中早叶斑病和晚叶斑病的遗传结构提供了依据,相关的SNP和预测的候选基因经进一步验证后,将对培育抗叶斑病品种具有重要价值。