| High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics? | |
| John-James Wilson1,2,3; Guo-Jie Brandon-Mong4,5; Han-Ming Gan6,7,8; Kong-Wah Sing9 | |
| 2018 | |
| 发表期刊 | Mitochondrial DNA A
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| 期号 | *页码:1-8 |
| 摘要 | Consensus on the optimal high-throughput sequencing (HTS) approach to examine biodiversity inmixed terrestrial arthropod samples has not been reached. Metatranscriptomics could increase the pro-portion of taxonomically informative mitochondrial reads in HTS outputs but has not been investigatedfor terrestrial arthropod samples. We compared the efficiency of 16S rRNA metabarcoding, metagenom-ics and metatranscriptomics for detecting species in a mixed terrestrial arthropod sample (pooled DNA/RNA from 38 taxa). 16S rRNA metabarcoding and nuclear rRNA-depleted metatranscriptomics had thehighest detection rate with 97% of input species detected. Based on cytochrome c oxidase I, metage-nomics had the highest detection rate with 82% of input species detected, but metatranscriptomicsproduced a larger proportion of reads matching (Sanger) reference sequences. Metatranscriptomicswith nuclear rRNA depletion may offer advantages over metabarcoding through reducing the numberof spurious operational taxonomic units while retaining high detection rates, and offers natural enrich-ment of mitochondrial sequences which may enable increased species detection rates compared withmetagenomics. |
| 关键词 | Arthropods Dna Barcodes Genome Skimming Mitogenomics Transcriptomics |
| DOI | 10.1080/24701394.2018.1455189 |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.kiz.ac.cn/handle/152453/12352 |
| 专题 | 遗传资源与进化国家重点实验室_生命条形码中心 |
| 通讯作者 | John-James Wilson; Kong-Wah Sing |
| 作者单位 | 1.School of Applied Sciences, Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, UK 2.Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand 3.International College Beijing, China Agricultural University, Beijing, PR China 4.Biodiversity Research Center, Academia Sinica, Taipei, Taiwan 5.Faculty of Science, Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia 6.School of Life and Environmental Sciences, Centre for Integrative Ecology, Deakin University, Geelong, Australia 7.Genomics Facility, Tropical and Medicine Biology Platform, Monash University Malaysia, Petaling Jaya, Malaysia 8.School of Science, Monash University Malaysia, Petaling Jaya, Malaysia 9.South China DNA Barcoding Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, PR China |
| 推荐引用方式 GB/T 7714 | John-James Wilson,Guo-Jie Brandon-Mong,Han-Ming Gan,et al. High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics?[J]. Mitochondrial DNA A,2018(*):1-8. |
| APA | John-James Wilson,Guo-Jie Brandon-Mong,Han-Ming Gan,&Kong-Wah Sing.(2018).High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics?.Mitochondrial DNA A(*),1-8. |
| MLA | John-James Wilson,et al."High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics?".Mitochondrial DNA A .*(2018):1-8. |
| 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 | ||
| 161.pdf(1427KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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