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Liu Y, Xu C, Sun Y, Chen X, Dong W, Yang X, Zhou S. Method for quick DNA barcode reference library construction. Ecol Evol 2021; 11:11627-11638. [PMID: 34522329 PMCID: PMC8427591 DOI: 10.1002/ece3.7788] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 01/04/2023] Open
Abstract
DNA barcoding has become one of the most important techniques in plant species identification. Successful application of this technology is dependent on the availability of reference database of high species coverage. Unfortunately, there are experimental and data processing challenges to construct such a library within a short time. Here, we present our solutions to these challenges. We sequenced six conventional DNA barcode fragments (ITS1, ITS2, matK1, matK2, rbcL1, and rbcL2) of 380 flowering plants on next-generation sequencing (NGS) platforms (Illumina Hiseq 2500 and Ion Torrent S5) and the Sanger sequencing platform. After comparing the sequencing depths, read lengths, base qualities, and base accuracies, we conclude that Illumina Hiseq2500 PE250 run is suitable for conventional DNA barcoding. We developed a new "Cotu" method to create consensus sequences from NGS reads for longer output sequences and more reliable bases than the other three methods. Step-by-step instructions to our method are provided. By using high-throughput machines (PCR and NGS), labeling PCR, and the Cotu method, it is possible to significantly reduce the cost and labor investments for DNA barcoding. A regional or even global DNA barcoding reference library with high species coverage is likely to be constructed in a few years.
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Affiliation(s)
- Yanlei Liu
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijingChina
| | - Chao Xu
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
| | - Yuzhe Sun
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijingChina
| | - Xun Chen
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
- College of Landscape ArchitectureNortheast Forestry UniversityHarbinChina
| | - Wenpan Dong
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
- Laboratory of Systematic Evolution and Biogeography of Woody PlantsSchool of Ecology and Nature ConservationBeijing Forestry UniversityBeijingChina
| | - Xueying Yang
- National Engineering Laboratory for Forensic ScienceKey Laboratory of Forensic GeneticsInstitute of Forensic ScienceMinistry of Public SecurityBeijingChina
| | - Shiliang Zhou
- State Key Laboratory of Systematic and Evolutionary BotanyInstitute of BotanyChinese Academy of SciencesBeijingChina
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijingChina
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Nugent CM, Elliott TA, Ratnasingham S, Hebert PDN, Adamowicz SJ. Debar: A sequence-by-sequence denoiser for COI-5P DNA barcode data. Mol Ecol Resour 2021; 21:2832-2846. [PMID: 33749132 DOI: 10.1111/1755-0998.13384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 03/05/2021] [Indexed: 12/14/2022]
Abstract
DNA barcoding and metabarcoding are now widely used to advance species discovery and biodiversity assessments. High-throughput sequencing (HTS) has expanded the volume and scope of these analyses, but elevated error rates introduce noise into sequence records that can inflate estimates of biodiversity. Denoising -the separation of biological signal from instrument (technical) noise-of barcode and metabarcode data currently employs abundance-based methods which do not capitalize on the highly conserved structure of the cytochrome c oxidase subunit I (COI) region employed as the animal barcode. This manuscript introduces debar, an R package that utilizes a profile hidden Markov model to denoise indel errors in COI sequences introduced by instrument error. In silico studies demonstrated that debar recognized 95% of artificially introduced indels in COI sequences. When applied to real-world data, debar reduced indel errors in circular consensus sequences obtained with the Sequel platform by 75%, and those generated on the Ion Torrent S5 by 94%. The false correction rate was less than 0.1%, indicating that debar is receptive to the majority of true COI variation in the animal kingdom. In conclusion, the debar package improves DNA barcode and metabarcode workflows by aiding the generation of more accurate sequences aiding the characterization of species diversity.
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Affiliation(s)
- Cameron M Nugent
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.,Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Tyler A Elliott
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Paul D N Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Sarah J Adamowicz
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
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Hao M, Jin Q, Meng G, Yang C, Yang S, Shi Z, Tang M, Liu S, Li Y, Li J, Zhang D, Su X, Shih C, Sun Y, Wilson JJ, Zhou X, Zhang A. Using full-length metabarcoding and DNA barcoding to infer community assembly for speciose taxonomic groups: a case study. Evol Ecol 2020. [DOI: 10.1007/s10682-020-10072-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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4
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Hao M, Jin Q, Meng G, Yang C, Yang S, Shi Z, Tang M, Liu S, Li Y, Zhang D, Su X, Shih C, Sun Y, Zhou X, Zhang AB. Regional assemblages shaped by historical and contemporary factors: Evidence from a species-rich insect group. Mol Ecol 2020; 29:2492-2510. [PMID: 32163643 DOI: 10.1111/mec.15412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 02/04/2020] [Accepted: 03/03/2020] [Indexed: 11/30/2022]
Abstract
Understanding diversity patterns requires accounting for the roles of both historical and contemporary factors in the assembly of communities. Here, we compared diversity patterns of two moth assemblages sampled from Taihang and Yanshan mountains in Northern China and performed ancestral range reconstructions using the Multi-State Speciation and Extinction model, to track the origins of these patterns. Further, we estimated diversification rates of the two moth assemblages and explored the effects of contemporary ecological factors. From 7,788 specimens we identified 835 species belonging to 23 families, using both DNA barcode analysis and morphology. Moths in Yanshan mountains showed higher species diversity than in Taihang mountains. Ancestral range analysis indicated Yanshan as the origin, with significant historical dispersals from Yanshan to Taihang. Asymmetrical diversification, population expansion, along with frequent and considerable gene flow were detected between communities. Moreover, dispersal limitation or the joint effect of environment filtering and dispersal limitation were inferred as main driving forces shaping current diversity patterns. In summary, we demonstrate that a multiscale (community, population and species level) analysis incorporating both historical and contemporary factors can be useful in delineating factors contributing to community assembly and patterning in diversity.
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Affiliation(s)
- Mengdi Hao
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Qian Jin
- College of Life Sciences, Capital Normal University, Beijing, China.,Suqian Institute of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Suqian, China
| | - Guanliang Meng
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Caiqing Yang
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Shenzhou Yang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Zhiyong Shi
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Min Tang
- Department of Entomology, China Agricultural University, Beijing, China
| | - Shanlin Liu
- Department of Entomology, China Agricultural University, Beijing, China
| | - Yinan Li
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Dan Zhang
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Xu Su
- Guizhou Provincial Center for Disease Control and Prevention, Guizhou, China
| | - Chungkun Shih
- College of Life Sciences, Capital Normal University, Beijing, China.,Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Yiran Sun
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Xin Zhou
- Department of Entomology, China Agricultural University, Beijing, China
| | - Ai-Bing Zhang
- College of Life Sciences, Capital Normal University, Beijing, China
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Yang CQ, Lv Q, Zhang AB. Sixteen Years of DNA Barcoding in China: What Has Been Done? What Can Be Done? Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00057] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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A two-step DNA barcoding approach for delimiting moth species: moths of Dongling Mountain (Beijing, China) as a case study. Sci Rep 2018; 8:14256. [PMID: 30250036 PMCID: PMC6155206 DOI: 10.1038/s41598-018-32123-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 07/05/2018] [Indexed: 01/24/2023] Open
Abstract
DNA barcoding, based on a fragment of cytochrome c oxidase I (COI) mtDNA, is as an effective molecular tool for identification, discovery, and biodiversity assessment for most animals. However, multiple gene markers coupled with more sophisticated analytical approaches may be necessary to clarify species boundaries in cases of cryptic diversity or morphological plasticity. Using 339 moths collected from mountains surrounding Beijing, China, we tested a pipeline consisting of two steps: (1) rapid morphospecies sorting and screening of the investigated fauna with standard COI barcoding approaches; (2) additional analyses with multiple molecular markers for those specimens whose morphospecies and COI barcode grouping were incongruent. In step 1, 124 morphospecies were delimited into 116 barcode units, with 90% of the conflicts being associated with specimens identified to the genus Hypena. In step 2, 55 individuals representing all 12 Hypena morphospecies were analysed using COI, COII, 28S, EF-1a, Wgl sequences or their combinations with the BPP (Bayesian Phylogenetics and Phylogeography) multigene species delimitation method. The multigene analyses supported the delimitation of 5 species, consistent with the COI analysis. We conclude that a two-step barcoding analysis pipeline is able to rapidly characterize insect biodiversity and help to elucidate species boundaries for taxonomic complexes without jeopardizing overall project efficiency by substantially increasing analytical costs.
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Abstract
We introduce a method for assigning names to CO1 metabarcode sequences with confidence scores in a rapid, high-throughput manner. We compiled nearly 1 million CO1 barcode sequences appropriate for classifying arthropods and chordates. Compared to our previous Insecta classifier, the current classifier has more than three times the taxonomic coverage, including outgroups, and is based on almost five times as many reference sequences. Unlike other popular rDNA metabarcoding markers, we show that classification performance is similar across the length of the CO1 barcoding region. We show that the RDP classifier can make taxonomic assignments about 19 times faster than the popular top BLAST hit method and reduce the false positive rate from nearly 100% to 34%. This is especially important in large-scale biodiversity and biomonitoring studies where datasets can become very large and the taxonomic assignment problem is not trivial. We also show that reference databases are becoming more representative of current species diversity but that gaps still exist. We suggest that it would benefit the field as a whole if all investigators involved in metabarocoding studies, through collaborations with taxonomic experts, also planned to barcode representatives of their local biota as a part of their projects.
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Affiliation(s)
- Teresita M Porter
- The Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada. .,Great Lakes Forestry Centre, Natural Resources Canada, 1219 Queen Street East, Sault Ste. Marie, ON, P6A 2E5, Canada.
| | - Mehrdad Hajibabaei
- The Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
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Porter TM, Hajibabaei M. Scaling up: A guide to high-throughput genomic approaches for biodiversity analysis. Mol Ecol 2018; 27:313-338. [PMID: 29292539 DOI: 10.1111/mec.14478] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 12/11/2017] [Accepted: 12/13/2017] [Indexed: 12/19/2022]
Abstract
The purpose of this review is to present the most common and emerging DNA-based methods used to generate data for biodiversity and biomonitoring studies. As environmental assessment and monitoring programmes may require biodiversity information at multiple levels, we pay particular attention to the DNA metabarcoding method and discuss a number of bioinformatic tools and considerations for producing DNA-based indicators using operational taxonomic units (OTUs), taxa at a variety of ranks and community composition. By developing the capacity to harness the advantages provided by the newest technologies, investigators can "scale up" by increasing the number of samples and replicates processed, the frequency of sampling over time and space, and even the depth of sampling such as by sequencing more reads per sample or more markers per sample. The ability to scale up is made possible by the reduced hands-on time and cost per sample provided by the newest kits, platforms and software tools. Results gleaned from broad-scale monitoring will provide opportunities to address key scientific questions linked to biodiversity and its dynamics across time and space as well as being more relevant for policymakers, enabling science-based decision-making, and provide a greater socio-economic impact. As genomic approaches are continually evolving, we provide this guide to methods used in biodiversity genomics.
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Affiliation(s)
- Teresita M Porter
- Centre for Biodiversity Genomics, Biodiversity Institute of Ontario and Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.,Natural Resources Canada, Great Lakes Forestry Centre, Sault Ste. Marie, ON, Canada
| | - Mehrdad Hajibabaei
- Centre for Biodiversity Genomics, Biodiversity Institute of Ontario and Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
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