IB-CAS  > 系统与进化植物学国家重点实验室
DNA barcoding of invasive plants in China: A resource for identifying invasive plants
Xu, Song-Zhi; Li, Zhen-Yu; Jin, Xiao-Hua
2018
发表期刊MOLECULAR ECOLOGY RESOURCES
ISSN1755-098X
卷号18期号:1页码:128-136
摘要Invasive plants have aroused attention globally for causing ecological damage and having a negative impact on the economy and human health. However, it can be extremely challenging to rapidly and accurately identify invasive plants based on morphology because they are an assemblage of many different families and many plant materials lack sufficient diagnostic characteristics during border inspections. It is therefore urgent to evaluate candidate loci and build a reliable genetic library to prevent invasive plants from entering China. In this study, five common single markers (ITS, ITS2, matK, rbcL and trnH-psbA) were evaluated using 634 species (including 469 invasive plant species in China, 10 new records to China, 16 potentially invasive plant species around the world but not introduced into China yet and 139 plant species native to China) based on three different methods. Our results indicated that ITS2 displayed largest intra- and interspecific divergence (1.72% and 91.46%). Based on NJ tree method, ITS2, ITS, matK, rbcL and trnH-psbA provided 76.84%, 76.5%, 63.21%, 52.86% and 50.68% discrimination rates, respectively. The combination of ITS + matK performed best and provided 91.03% discriminatory power, followed by ITS2 + matK (85.78%). For identifying unknown individuals, ITS + matK had 100% correct identification rate based on our database, followed by ITS/ITS2 (both 93.33%) and ITS2 + matK (91.67%). Thus, we propose ITS/ITS2 + matK as the most suitable barcode for invasive plants in China. This study also demonstrated that DNA barcoding is an efficient tool for identifying invasive species.
关键词DNA barcoding invasive plant species ITS/ITS2+matK molecular marker
学科领域Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology
DOI10.1111/1755-0998.12715
收录类别SCI
语种英语
WOS关键词ALIEN PLANT ; PHYLOGENY ; IDENTIFICATIONS ; DISCRIMINATE ; PISCES ; SPACER
WOS记录号WOS:000424112000012
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1755-0998
资助机构STS Program of Chinese Academy of Sciences [ZSSD-018]
作者邮箱lizy@ibcas.ac.cn ; xiaohuajin@ibcas.ac.cn
引用统计
被引频次:30[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/20690
专题系统与进化植物学国家重点实验室
作者单位1.[Xu, Song-Zhi
2.Li, Zhen-Yu
3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Xu, Song-Zhi,Li, Zhen-Yu,Jin, Xiao-Hua. DNA barcoding of invasive plants in China: A resource for identifying invasive plants[J]. MOLECULAR ECOLOGY RESOURCES,2018,18(1):128-136.
APA Xu, Song-Zhi,Li, Zhen-Yu,&Jin, Xiao-Hua.(2018).DNA barcoding of invasive plants in China: A resource for identifying invasive plants.MOLECULAR ECOLOGY RESOURCES,18(1),128-136.
MLA Xu, Song-Zhi,et al."DNA barcoding of invasive plants in China: A resource for identifying invasive plants".MOLECULAR ECOLOGY RESOURCES 18.1(2018):128-136.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Molecular Ecology Re(377KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
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
[Xu, Song-Zhi]的文章
[Li, Zhen-Yu]的文章
[Jin, Xiao-Hua]的文章
百度学术
百度学术中相似的文章
[Xu, Song-Zhi]的文章
[Li, Zhen-Yu]的文章
[Jin, Xiao-Hua]的文章
必应学术
必应学术中相似的文章
[Xu, Song-Zhi]的文章
[Li, Zhen-Yu]的文章
[Jin, Xiao-Hua]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Molecular Ecology Resources - 2017 - Xu - DNA.pdf
格式: Adobe PDF
此文件暂不支持浏览
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。