| Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding | |
| Ji YQ1; Ashton L2; Pedley SM3; Edwards DP4,5,6; Tang Y7; Nakamura A2,8; Kitching R2; Dolman PM3; Emerson BC17; Yu DW*1,13; dougwyu@gmail.com | |
| 2013 | |
| 发表期刊 | ECOLOGY LETTERS
 |
| 卷号 | 16期号:10页码:1245-1257 |
| 合作性质 | 其它 |
| 摘要 | To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha- and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution. |
| 关键词 | Targeted Monitoring Dna Barcoding Systematic Conservation Planning Restoration Ecology Tropical Forest Climate Change Surveillance |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000324313600003 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.kiz.ac.cn/handle/152453/8126 |
| 专题 | 科研部门_生态学与环境保护中心（俞维理） 遗传资源与进化国家重点实验室 |
| 通讯作者 | dougwyu@gmail.com |
| 作者单位 | 1.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China 2.Environmental Futures Centre and Griffith School of Environment, Griffith University, Nathan, Queensland, 4111, Australia 3.School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR47TJ, UK 4.Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, New Jersey, 08544, USA 5.Centre for Tropical Environmental and Sustainability Science (TESS), School of Marine and Tropical Biology, James Cook University, Cairns, Queensland, 4878, Australia 6.Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08544, USA 7.Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Meng La, Yunnan, 666303, China 8.Queensland Museum, South Brisbane, Queensland, 4101, Australia 9.Institute of Integrative and Comparative Biology and Faculty of Biological Sciences, University of Leeds, Leeds, West Yorkshire, LS29JT, UK 10.The Betty and Gordon Moore Center for Ecosystem Science and Economics, Conservation International, Arlington, Virginia, 22202, USA 11.Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York City, New York, 10027, USA 12.School of Sustainable Agriculture, Universiti Malaysia Sabah, Sandakan, Sabah, 9000, Malaysia 13.School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR47TJ, UK 14.Cary Institute of Ecosystem Studies, Millbrook, New York, 12545, USA 15.Department of Biology, University of Florida, Gainesville, Florida, 32611, USA 16.School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR47TJ, UK 17.sland Ecology and Evolution Research Group, IPNA-CSIC, Tenerife, Canary Islands, 38206, Spai |
| 推荐引用方式 GB/T 7714 | Ji YQ,Ashton L,Pedley SM,et al. Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding[J]. ECOLOGY LETTERS,2013,16(10):1245-1257. |
| APA | Ji YQ.,Ashton L.,Pedley SM.,Edwards DP.,Tang Y.,...&dougwyu@gmail.com.(2013).Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding.ECOLOGY LETTERS,16(10),1245-1257. |
| MLA | Ji YQ,et al."Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding".ECOLOGY LETTERS 16.10(2013):1245-1257. |
| 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 | ||
| 2014102206.pdf（1068KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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