College of Forestry, College of Plant Protection, College of Life Sciences, State Key Laboratory of Crop Biology, Agricultural Big-Data Research Center, Shandong Agricultural University, Tai'an, 271018, China.
Shandong Academy of Forestry, Jinan, 250014, China.
Sci Rep. 2017 Dec 20;7(1):17902. doi: 10.1038/s41598-017-17203-6.
Molecular markers are efficient tools for breeding and genetic studies. However, despite their ecological and economic importance, their development and application have long been hampered. In this study, we identified 524,170 simple sequence repeat (SSR), 267,636 intron length polymorphism (ILP), and 11,872 potential intron polymorphism (PIP) markers from 16 tree species based on recently available genome sequences. Larger motifs, including hexamers and heptamers, accounted for most of the seven different types of SSR loci. Within these loci, A/T bases comprised a significantly larger proportion of sequence than G/C. SSR and ILP markers exhibited an alternative distribution pattern. Most SSRs were monomorphic markers, and the proportions of polymorphic markers were positively correlated with genome size. By verifying with all 16 tree species, 54 SSR, 418 ILP, and four PIP universal markers were obtained, and their efficiency was examined by PCR. A combination of five SSR and six ILP markers were used for the phylogenetic analysis of 30 willow samples, revealing a positive correlation between genetic diversity and geographic distance. We also found that SSRs can be used as tools for duplication analysis. Our findings provide important foundations for the development of breeding and genetic studies in tree species.
分子标记是育种和遗传研究的有效工具。然而,尽管它们具有生态和经济重要性,但它们的开发和应用长期以来一直受到阻碍。在这项研究中,我们根据最近可用的基因组序列,从 16 个树种中鉴定出了 524,170 个简单序列重复(SSR)、267,636 个内含子长度多态性(ILP)和 11,872 个潜在内含子多态性(PIP)标记。较大的基序,包括六聚体和七聚体,构成了七种不同类型的 SSR 位点的大部分。在这些位点中,A/T 碱基构成序列的比例明显大于 G/C。SSR 和 ILP 标记表现出替代的分布模式。大多数 SSR 是单态标记,多态标记的比例与基因组大小呈正相关。通过对所有 16 个树种进行验证,获得了 54 个 SSR、418 个 ILP 和 4 个 PIP 通用标记,并通过 PCR 对其效率进行了检验。对 30 个柳树样本的五个 SSR 和六个 ILP 标记组合进行了系统发育分析,结果显示遗传多样性与地理距离之间存在正相关。我们还发现 SSR 可作为重复分析的工具。我们的研究结果为树种的育种和遗传研究提供了重要的基础。