School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.
PLoS One. 2020 Nov 30;15(11):e0242940. doi: 10.1371/journal.pone.0242940. eCollection 2020.
Accurate identification of named accessions in germplasm collections is extremely important, especially for vegetatively propagated crops which are expensive to maintain. Thus, an inexpensive, reliable, and rapid genotyping method is essential because it avoids the need for laborious and time-consuming morphological comparisons. Single Nucleotide Polymorphism (SNP) marker panels containing large numbers of SNPs have been developed for many crop species, but such panels are much too large for basic cultivar identification. Here, we have identified a minimum set of SNP markers sufficient to distinguish apple cultivars held in the English and Welsh national collections providing a cheaper and automatable alternative to the markers currently used by the community. We show that SNP genotyping with a small set of well selected markers is equally efficient as microsatellites for the identification of apple cultivars and has the added advantage of automation and reduced cost when screening large numbers of samples.
准确识别种质资源中的命名品系非常重要，尤其是对于那些需要大量成本维持的无性繁殖作物。因此，一种廉价、可靠、快速的基因分型方法是必不可少的，因为它避免了繁琐和耗时的形态学比较。已经为许多作物物种开发了包含大量单核苷酸多态性 (SNP) 标记的 SNP 标记面板，但对于基本品种鉴定来说，这些面板太大了。在这里，我们确定了一组最小数量的 SNP 标记，足以区分英国和威尔士国家收藏中的苹果品种，为社区目前使用的标记提供了一种更便宜和自动化的替代方案。我们表明，使用一小部分精心选择的标记进行 SNP 基因分型对于鉴定苹果品种与微卫星同样有效，并且在筛选大量样本时具有自动化和降低成本的额外优势。
