KIB OpenIR
DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China
Tan, Shao-Lin1,2,3; Luo, Ya-Huang1; Hollingsworth, Peter M.4; Burgess, Kevin S.5; Xu, Kun6; Li, De-Zhu2,3; Gao, Lian-Ming1,6
2018-07-01
发表期刊ECOLOGY AND EVOLUTION
ISSN2045-7758
卷号8期号:14页码:7195-7205
摘要Although DNA barcoding has been widely used to identify plant species composition in temperate and tropical ecosystems, relatively few studies have used DNA barcodes to document both herbaceous and woody components of forest plot. A total of 201 species (72 woody species and 129 herbaceous species) representing 135 genera distributed across 64 families of seed plants were collected in a 25ha CForBio subalpine forest dynamics plot. In total, 491 specimens were screened for three DNA regions of the chloroplast genome (rbcL, matK, and trnH-psbA) as well as the internal transcribed spacers (ITS) of nuclear ribosomal DNA. We quantified species resolution for each barcode separately or in combination using a ML tree-based method. Amplification and sequencing success were highest for rbcL, followed by trnH-psbA, which performed better than ITS and matK. The rbcL+ITS barcode had slightly higher species resolution rates (88.60%) compared with rbcL+matK (86.60%) and rbcL+trnH-psbA (86.01%). The addition of trnH-psbA or ITS to the rbcL+matK barcode only marginally increased species resolution rates, although in combination the four barcodes had the highest discriminatory power (90.21%). The situations where DNA barcodes did not discriminate among species were typically associated with higher numbers of co-occurring con-generic species. In addition, herbaceous species were much better resolved than woody species. Our study represents one of the first applications of DNA barcodes in a subalpine forest dynamics plot and contributes to our understanding of patterns of genetic divergence among woody and herbaceous plant species.
关键词DNA barcoding forest dynamics plot herbaceous species species identification woody species Yulong Mountain
资助信息Large-scale Scientific Facilities of the Chinese Academy of Sciences; Program of Science and Technology Talents Training of Yunnan Province; National Key Basic Research Program of China
语种英语
资助项目Large-scale Scientific Facilities of the Chinese Academy of Sciences[2017-LSF-GBOWS-02] ; Program of Science and Technology Talents Training of Yunnan Province[2017HA014] ; National Key Basic Research Program of China[2014CB954100]
引用统计
文献类型期刊论文
条目标识符http://ir.kib.ac.cn/handle/151853/62151
专题中国科学院昆明植物研究所
通讯作者Li, De-Zhu; Gao, Lian-Ming
作者单位1.Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming 650201, Yunnan, Peoples R China
2.Chinese Acad Sci, Kunming Inst Bot, Germplasm Bank Wild Species, Kunming 650201, Yunnan, Peoples R China
3.Univ Chinese Acad Sci, Coll Life Sci, Kunming, Yunnan, Peoples R China
4.Royal Bot Garden Edinburgh, Edinburgh, Midlothian, Scotland
5.Univ Syst Georgia, Columbus State Univ, Dept Biol, Coll Letters & Sci, Columbus, GA USA
6.Chinese Acad Sci, Kunming Inst Bot, Lijiang Forest Ecosyst Res Stn, Lijiang, Peoples R China
推荐引用方式
GB/T 7714
Tan, Shao-Lin,Luo, Ya-Huang,Hollingsworth, Peter M.,et al. DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China[J]. ECOLOGY AND EVOLUTION,2018,8(14):7195-7205.
APA Tan, Shao-Lin.,Luo, Ya-Huang.,Hollingsworth, Peter M..,Burgess, Kevin S..,Xu, Kun.,...&Gao, Lian-Ming.(2018).DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China.ECOLOGY AND EVOLUTION,8(14),7195-7205.
MLA Tan, Shao-Lin,et al."DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China".ECOLOGY AND EVOLUTION 8.14(2018):7195-7205.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tan, Shao-Lin]的文章
[Luo, Ya-Huang]的文章
[Hollingsworth, Peter M.]的文章
百度学术
百度学术中相似的文章
[Tan, Shao-Lin]的文章
[Luo, Ya-Huang]的文章
[Hollingsworth, Peter M.]的文章
必应学术
必应学术中相似的文章
[Tan, Shao-Lin]的文章
[Luo, Ya-Huang]的文章
[Hollingsworth, Peter M.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。