武汉市农业科学院
国家现代农业产业技术体系(CARS-24);国家园艺种质资源库(NHGRC)
Wuhan academy of agricultural sciences
National Modern Agricultural Industry Technology System (CARS-24);National Horticultural Germplasm Bank (NHGRC)
芋(Colocasia esculenta (L.) Schott)是世界第五大根茎类作物,其种质资源以地方品种为主,。由于不同地区间频繁引种频繁,以及和长期依赖球茎进行无性繁殖,芋因此品种类型多且存在许多大量表型相似的品种材料。传统的仅依赖表型性状鉴定方法已难以满足准确区分鉴别和有高效管理的需求。为提升芋种质资源管理的精准性度与数字化水平效率,本研究基于前期重测序数据,开发了覆盖全基因组的695对特异性引物。利用这些该引物体系对193份芋种质资源进行靶向测序,在193份芋种质资源中共检测到2,317个高可信度SNP位点。基于遗传聚类分析,将这些材料被清晰地划分为6个类群。通过计算样品间SNP差异位点所反映的评估样品间遗传相似度,结果显示,79.57%的样品对遗传相似度集中在0.450~0.650区间;同时发现8个样品对的遗传相似度高达98%以上,可能为同物异名或遗传背景高度相近的材料。此外,本研究进一步精筛选出17个核心SNP位点 ,构建了芋种质资源的分子指纹图谱,并结合其地理来源和品种类型信息,建立了每份材料唯一的分子身份证。本研究建立的方法体系,为芋种质资源的精准区分、鉴定及基因型数据的数字化管理提供了有力的技术支撑,对种质资源的有效保护和高效利用具有重要的理论意义和实际应用价值。
Taro (Colocasia esculenta (L.) Schott)is one of fivethe fifth most important cultivated tuber crops in the world. Its germplasm resources are predominantly composed of local landraces, which are frequently exchanged between across regions and primarily propagated asexually through clonal reproduction via cormels. Theseis practices, combined with the prevalence of have resulted in highly diverse yet often morphologically similar varieties, making it difficult to achieveposes significant challenges for accurate identification and efficient management using traditional conventional phenotypic descriptors alone. To address thisenhance the precision and efficiency of germplasm management, we employed molecular markers to developed a molecular system based on genome-wide SNP markers.of molecular IDs, facilitating more precise germplasm management and utilization. Leveraging A total of 695 primer pairs covering the entire genome were designed from previous resequencing data to enable, targeted resequencing. using Using these primer set,s successfully identified 2,317 high-confidence SNPs were identified across 193 taro germplasm accessions. Genetic clustering analysis resolved these 193 accessions into six distinct groupsclusters. Pairwise comparisons of SNP differences Genetic similarity analysis based on SNP differences revealed that 79.57% of accession pairs exhibited genetic similarity values betweenpairwise comparisons fell within a similarity range of 0.450 to and 0.650, while whereas eight pairs exhibited very high similarity (>98%), suggesting the presence of putative duplicates or materials with highly similar genetic backgrounds. likely representing duplicates. Furthermore, Aa core set of 17 informative SNP markers was selected to generate molecular fingerprints for all 193 accessions. These fingerprints, integrated with geographical origin and varietal type, formed the basis of individual molecular IDs. This study demonstrates a robust and efficient approach for the accurate discrimination, precise identification, and digital management of taro germplasm, offering significant theoretical insights and practical applications for its conservation and utilization.
