Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, 4031, Laguna, Philippines.
Philippine Genome Center Program for Agriculture, Livestock Fisheries and Forestry, University of the Philippines Los Baños, 4031, Laguna, Philippines.
Mol Genet Genomics. 2023 Jul;298(4):857-869. doi: 10.1007/s00438-023-02018-0. Epub 2023 Apr 21.
The Philippines is situated in the geographic region regarded as the center of diversity of banana and its wild relatives (Musa spp.). It holds the most extensive collection of B-genome germplasm in the world along with A-genome groups and several natural hybrids with A- and B-genome combinations. Management of this germplasm resource has relied immensely on identification using local names and morphological characters, and the extent of genetic diversity of the collection has not been achieved with molecular markers. A high-throughput and reliable genotyping method for banana and its relatives will facilitate germplasm management and support breeding initiatives toward a marker-based approach. Here, we developed a 1 K SNP genotyping panel based on filtering of high-quality genome-wide SNPs from the Musa Germplasm Information System and used it to assess the genetic diversity and population structure of 183 accessions from a Musa spp. germplasm collection containing Philippine and foreign accessions. Targeted GBS using SeqSNP™ technology generated 70,376,284 next-generation sequencing (NGS) reads with an average effective target SNP coverage of 340 × . Bioinformatics pipeline revealed 971 polymorphic SNPs containing 76.9% homozygous calls, 23.1% heterozygous calls and 4% with missing data. A final set of 952 SNPs detected 2,092 alleles. Pairwise genetic distance varied from 0.0021 to 0.3325 with most pairs of accessions distinguished with 250 to 300 loci. The SNP panel was able to detect seven (k = 7) genetically differentiated groups and its composition through Principal Component Analysis (PCA) with k-means clustering algorithm and Discriminant Analysis of Principal Components (DAPC). Accession-specific SNPs were also identified. The 1 K SNP panel effectively distinguishes between genomic groups and provides relatively good resolution of genome-wide nucleotide diversity of Musa spp. This panel is recommended for low-density genotyping for application in marker-assisted breeding and germplasm management, and could be further enhanced to increase marker density for other applications like genetic association and genomic selection in bananas.
菲律宾位于香蕉及其野生亲缘植物(Musaspp.)多样性中心的地理区域。它拥有世界上最广泛的 B 基因组种质资源收藏,同时还有 A 基因组群体和几个具有 A 和 B 基因组组合的天然杂种。这种种质资源的管理主要依赖于使用当地名称和形态特征进行鉴定,而该收藏的遗传多样性程度尚未通过分子标记实现。一种高通量且可靠的香蕉及其亲缘植物的基因型分析方法将有助于种质资源管理,并支持基于标记的方法进行育种计划。在这里,我们基于从 Musa 种质信息系统中筛选出的高质量全基因组 SNPs 开发了一个 1K SNP 基因分型面板,并将其用于评估包含菲律宾和外国材料的 Musa spp. 种质收藏中的 183 个材料的遗传多样性和群体结构。使用 SeqSNP™技术进行靶向 GBS 生成了 70,376,284 个下一代测序(NGS)reads,平均有效目标 SNP 覆盖率为 340×。生物信息学分析揭示了 971 个多态性 SNP,其中包含 76.9%的纯合子调用、23.1%的杂合子调用和 4%的缺失数据。最终确定了 952 个 SNP 检测到 2092 个等位基因。成对的遗传距离从 0.0021 到 0.3325 不等,大多数成对的材料通过 250 到 300 个位点来区分。通过 PCA 和 K-means 聚类算法以及主成分判别分析(DAPC),SNP 面板能够检测到 7 个(k=7)具有遗传差异的群体及其组成。还鉴定了特定于访问的 SNP。1K SNP 面板能够有效区分基因组群体,并提供 Musa spp. 全基因组核苷酸多样性的相对较好分辨率。建议将该面板用于低密度基因分型,用于标记辅助育种和种质资源管理,并可进一步增强以增加其他应用(如香蕉中的遗传关联和基因组选择)的标记密度。