Hollingsworth Peter M, Li De-Zhu, van der Bank Michelle, Twyford Alex D
Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh EH3 5LR, UK
Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, 132 Lanhei Road, Heilongtan, Kunming, Yunnan 650201, People's Republic of China.
Philos Trans R Soc Lond B Biol Sci. 2016 Sep 5;371(1702). doi: 10.1098/rstb.2015.0338.
Land plants underpin a multitude of ecosystem functions, support human livelihoods and represent a critically important component of terrestrial biodiversity-yet many tens of thousands of species await discovery, and plant identification remains a substantial challenge, especially where material is juvenile, fragmented or processed. In this opinion article, we tackle two main topics. Firstly, we provide a short summary of the strengths and limitations of plant DNA barcoding for addressing these issues. Secondly, we discuss options for enhancing current plant barcodes, focusing on increasing discriminatory power via either gene capture of nuclear markers or genome skimming. The former has the advantage of establishing a defined set of target loci maximizing efficiency of sequencing effort, data storage and analysis. The challenge is developing a probe set for large numbers of nuclear markers that works over sufficient phylogenetic breadth. Genome skimming has the advantage of using existing protocols and being backward compatible with existing barcodes; and the depth of sequence coverage can be increased as sequencing costs fall. Its non-targeted nature does, however, present a major informatics challenge for upscaling to large sample sets.This article is part of the themed issue 'From DNA barcodes to biomes'.
陆地植物支撑着众多生态系统功能,维持人类生计,是陆地生物多样性的关键重要组成部分。然而,数以万计的物种仍有待发现,植物鉴定仍然是一项重大挑战,尤其是在材料为幼体、碎片化或经过处理的情况下。在这篇观点文章中,我们探讨两个主要主题。首先,我们简要总结植物DNA条形码在解决这些问题方面的优势和局限性。其次,我们讨论增强当前植物条形码的选择,重点是通过核标记的基因捕获或基因组浅层测序来提高鉴别力。前者的优势在于建立一组明确的目标位点,从而最大限度地提高测序工作、数据存储和分析的效率。挑战在于为大量核标记开发一套能在足够系统发育广度上起作用的探针集。基因组浅层测序的优势在于使用现有方案并与现有条形码向后兼容;随着测序成本下降,序列覆盖深度可以增加。然而,其非靶向性质确实给扩大到大型样本集带来了重大信息学挑战。本文是主题为“从DNA条形码到生物群落”的特刊的一部分。