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Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding
文献类型：期刊论文
| 作者 | 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 |
| 刊名 | ECOLOGY LETTERS
 |
| 出版日期 | 2013 |
| 卷号 | 16期号:10页码:1245-1257 |
| 关键词 | targeted monitoring DNA barcoding systematic conservation planning restoration ecology tropical forest climate change surveillance |
| 通讯作者 | dougwyu@gmail.com |
| 合作状况 | 其它 |
| 英文摘要 | 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. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000324313600003 |
| 公开日期 | 2014-10-22 |
| 源URL | [http://159.226.149.42:8088/handle/152453/8126]  |
| 专题 | 昆明动物研究所_动物生态学研究中心 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 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 |
| 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.,...&Yu DW[*].(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. |
入库方式： OAI收割
来源：昆明动物研究所
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