Jiang Kai-Wen, Zhang Rong, Zhang Zhong-Fu, Pan Bo, Tian Bin
Key Laboratory of Biodiversity Conservation in Southwest China, National Forestry and Grassland Administration, Southwest Forestry University, Kunming, 650224, China.
Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
Plant Divers. 2020 Aug 11;42(5):376-385. doi: 10.1016/j.pld.2020.07.007. eCollection 2020 Oct.
taxonomy and classification have long been problematic. Species within this genus have few morphological differences and plants without flowers or fruits are difficult to accurately identify. In this study, we evaluated the ability of six DNA barcoding sequences, one nuclear (ITS) and five chloroplast regions (, , , , ), to efficiently identify species. Most single markers or their combinations identify obvious barcoding gaps between intraspecific and interspecific genetic variation. Most combined analyses including ITS showed good species resolution and identification efficiency. We therefore suggest that ITS alone or a combination of ITS with any cpDNA marker are most suitable for DNA barcoding of . The phylogenetic analyses clearly indicated that is not monophyletic and is separated as two independent branches, which may result from cryptic differentiation. Our results demonstrate that molecular data can deepen the comprehension of taxonomy of and provide an efficient approach for identification of the species.
分类学和分类一直存在问题。该属内的物种形态差异很少,而且没有花或果实的植物很难准确鉴定。在本研究中,我们评估了六个DNA条形码序列(一个核基因序列(ITS)和五个叶绿体区域(,,,,))有效鉴定物种的能力。大多数单一标记或其组合在种内和种间遗传变异之间识别出明显的条形码间隙。大多数包括ITS的联合分析显示出良好的物种分辨率和鉴定效率。因此,我们建议单独使用ITS或ITS与任何叶绿体DNA标记的组合最适合用于的DNA条形码分析。系统发育分析清楚地表明不是单系的,而是分为两个独立的分支,这可能是由隐秘分化导致的。我们的结果表明,分子数据可以加深对分类学的理解,并为该物种的鉴定提供一种有效的方法。