High-throughput monitoring of wild bee diversity and abundance via mitogenomics1
文献类型：期刊论文
| 作者 | Tang M1; Hardman C2; Tan MH1,4; Yang SZ1; Moss ED5; Wang JX3; Yang CX3; Bruce C6; Ji YQ3; Nevard T7,8 |
| 刊名 | METHODS IN ECOLOGY AND EVOLUTION
 |
| 出版日期 | 2015 |
| 卷号 | 6期号:9页码:1034-1043 |
| 关键词 | agri-environment schemes biodiversity and ecosystem services farmland biodiversity genome skimming Hymenoptera metabarcoding metagenomics mitogenomes neonicotinoids pollination |
| 通讯作者 | xinzhou@genomics.cn ; dougwyu@gmail.com |
| 英文摘要 | 1. Bee populations and other pollinators face multiple, synergistically acting threats, which have led to population declines, loss of local species richness and pollination services, and extinctions. However, our understanding of the degree, distribution and causes of declines is patchy, in part due to inadequate monitoring systems, with the challenge of taxonomic identification posing a major logistical barrier. Pollinator conservation would benefit from a high-throughput identification pipeline. 2. We show that the metagenomic mining and resequencing of mitochondrial genomes (mitogenomics) can be applied successfully to bulk samples of wild bees. We assembled the mitogenomes of 48 UK bee species and then shotgun-sequenced total DNA extracted from 204 whole bees that had been collected in 10 pan-trap samples from farms in England and been identified morphologically to 33 species. Each sample data set was mapped against the 48 reference mitogenomes. 3. The morphological and mitogenomic data sets were highly congruent. Out of 63 total species detections in the morphological data set, the mitogenomic data set made 59 correct detections (93.7% detection rate) and detected six more species (putative false positives). Direct inspection and an analysis with species-specific primers suggested that these putative false positives were most likely due to incorrect morphological IDs. Read frequency significantly predicted species biomass frequency (R-2 = 24.9%). Species lists, biomass frequencies, extrapolated species richness and community structure were recovered with less error than in a metabarcoding pipeline. 4. Mitogenomics automates the onerous task of taxonomic identification, even for cryptic species, allowing the tracking of changes in species richness and distributions. A mitogenomic pipeline should thus be able to contain costs, maintain consistently high-quality data over long time series, incorporate retrospective taxonomic revisions and provide an auditable evidence trail. Mitogenomic data sets also provide estimates of species counts within samples and thus have potential for tracking population trajectories. |
| 资助信息 | CJH was funded by BBSRC and Conservation Grade and was assisted in the field by KA Watson and A Beugnet and in the laboratory by SPM Roberts and CA Dodson. XZ was supported by the Ministry of Science and Technology of the People’s Republic of China through the National High-tech Research and Development Project (863) of China (2012AA021601), the National Science and Technology Support Program of China (2012BAK11B06-4) and BGI. CB was supported by a NERC studentship. DWY was supported by Yunnan Province (20080A001), the Chinese Academy of Sciences (0902281081, KSCX2-YW-Z-1027), the National Natural Science Foundation of China (31170498), the Ministry of Sci- ence and Technology of China (2012FY110800), the University of East Anglia, and the State Key Laboratory of Genetic Resources and Evolution at the Kun- ming Institute of Zoology. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://159.226.149.26:8080/handle/152453/10338]  |
| 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.China National GeneBank BGI-Shenzhen Shenzhen Guangdong 518083 China 2.Centre for Agri Environmental Research School of Agriculture Policy and Development University of Reading Reading RG66AR UK 3.State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences, Kunming Yunnan 650223 China. 4.University of Chinese Academy of SciencesBeijing100094China 5.School of Biological, Biomedical and Environmental Sciences University of Hull Hull HU67RX UK 6.School of Biological Sciences University of East Anglia Norwich Research Park Norwich Norfolk NR47TJ UK. 7.Conservation Grade Ltd.St NeotsCambridgeshirePE196TYUK; Charles Darwin UniversityDarwinNTNT0909Australia. 8.Charles DarwinUniversity,Darwin,NTNT0909,Australia |
| 推荐引用方式 GB/T 7714 | Tang M,Hardman C,Tan MH,et al. High-throughput monitoring of wild bee diversity and abundance via mitogenomics1[J]. METHODS IN ECOLOGY AND EVOLUTION,2015,6(9):1034-1043. |
| APA | Tang M.,Hardman C.,Tan MH.,Yang SZ.,Moss ED.,...&Liu SL.(2015).High-throughput monitoring of wild bee diversity and abundance via mitogenomics1.METHODS IN ECOLOGY AND EVOLUTION,6(9),1034-1043. |
| MLA | Tang M,et al."High-throughput monitoring of wild bee diversity and abundance via mitogenomics1".METHODS IN ECOLOGY AND EVOLUTION 6.9(2015):1034-1043. |
入库方式： OAI收割
来源：昆明动物研究所
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