文献类型：期刊文献

英文题名：Advances of Community-Level Plant DNA Barcoding in China

作者：Pei, Nancai[1] Chen, Bufeng[1] Kress, W. J.[2]

第一作者：裴男才

通信作者：Pei, NC[1]

机构：[1]Chinese Acad Forestry, Res Inst Trop Forestry, Key Lab State Forestry Adm Trop Forestry Res, Guangzhou, Guangdong, Peoples R China;[2]Smithsonian Inst, Dept Bot, Natl Museum Nat Hist, MRC 166, Washington, DC 20560 USA

年份：2017

卷号：8

外文期刊名：FRONTIERS IN PLANT SCIENCE

收录：;Scopus(收录号：2-s2.0-85014812819);WOS:【SCI-EXPANDED(收录号:WOS:000394434600001)】；

基金：This study was financially supported by the Fundamental Research Funds of CAF (CAFYBB2017QB002), NSF-China (31570594), and CFERN & GENE Award Funds on Ecological Paper.

语种：英文

外文关键词：DNA barcode; community phylogeny; reproductive trait; forest biology; subtropical forest

摘要：DNA barcoding is a commonly used bio-technology in multiple disciplines including biology, environmental science, forensics and inspection, etc. Forest dynamic plots provide a unique opportunity to carry out large-scale, comparative, and multidisciplinary research for plant DNA barcoding. The paper concisely reviewed four previous progresses in China; specifically, species discrimination, community phylogenetic reconstruction, phylogenetic community structure exploration, and biodiversity index evaluation. Further, we demonstrated three major challenges; specifically, building the impetus to generate DNA barcodes using multiple plant DNA markers for all woody species at forest community levels, analyzing massive DNA barcoding sequence data, and promoting theoretical innovation. Lastly, we raised five possible directions; specifically, proposing a "purpose-driven barcode" fit for multi-level applications, developing new integrative sequencing strategies, pushing DNA barcoding beyond terrestrial ecosystem, constructing national-level DNA barcode sequence libraries for special plant groups, and establishing intelligent identification systems or online server platforms. These efforts will be potentially valuable to explore large-scale biodiversity patterns, the origin and evolution of life, and will also facilitate preservation and utilization of biodiversity resources.