Interdepartmental Genetics Program, Kansas State University, Manhattan, KS, 66506, USA.
Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA.
Sci Rep. 2019 Jan 24;9(1):650. doi: 10.1038/s41598-018-37269-0.
Genebanks are valuable resources for crop improvement through the acquisition, ex-situ conservation and sharing of unique germplasm among plant breeders and geneticists. With over seven million existing accessions and increasing storage demands and costs, genebanks need efficient characterization and curation to make them more accessible and usable and to reduce operating costs, so that the crop improvement community can most effectively leverage this vast resource of untapped novel genetic diversity. However, the sharing and inconsistent documentation of germplasm often results in unintentionally duplicated collections with poor characterization and many identical accessions that can be hard or impossible to identify without passport information and unmatched accession identifiers. Here we demonstrate the use of genotypic information from these accessions using a cost-effective next generation sequencing platform to find and remove duplications. We identify and characterize over 50% duplicated accessions both within and across genebank collections of Aegilops tauschii, an important wild relative of wheat and source of genetic diversity for wheat improvement. We present a pipeline to identify and remove identical accessions within and among genebanks and curate globally unique accessions. We also show how this approach can also be applied to future collection efforts to avoid the accumulation of identical material. When coordinated across global genebanks, this approach will ultimately allow for cost effective and efficient management of germplasm and better stewarding of these valuable resources.
基因库是通过植物育种家和遗传学家之间获取、原地保护和共享独特种质资源来改良作物的宝贵资源。现有的基因库已经有超过 700 万份的存取记录,而且存储需求和成本不断增加,因此需要对基因库进行有效的特征描述和管理,以提高其可访问性和可用性,并降低运营成本,从而使作物改良界能够最有效地利用这一巨大的、尚未开发的新型遗传多样性资源。然而,种质资源的共享和不一致的文档记录常常导致无意中重复收集,这些重复收集的资源特征描述较差,而且许多相同的存取记录如果没有护照信息和不匹配的存取标识符,就很难或不可能识别。在这里,我们展示了使用这些存取记录的基因型信息,利用一种具有成本效益的下一代测序平台来发现和去除重复。我们在 Aegilops tauschii 的基因库内和基因库之间鉴定和描述了超过 50%的重复存取记录,Aegilops tauschii 是小麦的一个重要野生近缘种,也是改良小麦遗传多样性的来源。我们提出了一种在基因库内和基因库之间识别和去除相同存取记录并管理全球唯一存取记录的方案。我们还展示了如何将这种方法应用于未来的收集工作,以避免相同材料的积累。当在全球基因库中协调时,这种方法最终将允许有效和高效地管理种质资源,并更好地管理这些宝贵资源。