The Future of DNA Barcoding: Reflections from Early Career Researchers
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DNA Metabarcoding of Microbial Communities for Healthcare I
Reviews ISSN 1993-6842 (on-line); ISSN 0233-7657 (print) Biopolymers and Cell. 2016. Vol. 32. N 1. P 3–8 doi: http://dx.doi.org/10.7124/bc.000906 UDC 577.25 + 579.61 DNA metabarcoding of microbial communities for healthcare I. Ye. Zaets1, O. V. Podolich1, O. N. Reva2, N. O. Kozyrovska1 1 Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Akademika Zabolotnoho Str., Kyiv, Ukraine, 03680 2 Department of Biochemistry, Bioinformatics and Computational Biology Unit, University of Pretoria Lynnwood road, Hillcrest, Pretoria, South Africa, 0002 [email protected], [email protected], [email protected] High-throughput sequencing allows obtaining DNA barcodes of multiple species of microorganisms from a single environmental sample. Next Generation Sequencing (NGS)-based profiling provides new opportunities to evaluate the human health effect of microbial community members affiliated to probiotics. DNA metabar- coding may serve as a quality control of microbial communities, comprising complex probiotics and other fermented foods. A detailed inventory of complex communities is a pre-requisite of understanding their func- tionality as whole entities that makes it possible to design more effective bio-products by precise replacement of one community member by others. The present paper illustrates how the NGS-based DNA metabarcoding allows profiling of both wild and hybrid multi-microbial communities with the example of a kombucha probi- otic beverage fermented by yeast-bacterial partners. Keywords: DNA metabarcoding, microbial communities, healthcare, -
Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens
microorganisms Review Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens Edoardo Piombo 1,2 , Ahmed Abdelfattah 3,4 , Samir Droby 5, Michael Wisniewski 6,7, Davide Spadaro 1,8,* and Leonardo Schena 9 1 Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, 10095 Grugliasco, Italy; [email protected] 2 Department of Forest Mycology and Plant Pathology, Uppsala Biocenter, Swedish University of Agricultural Sciences, P.O. Box 7026, 75007 Uppsala, Sweden 3 Institute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12, 8010 Graz, Austria; [email protected] 4 Department of Ecology, Environment and Plant Sciences, University of Stockholm, Svante Arrhenius väg 20A, 11418 Stockholm, Sweden 5 Department of Postharvest Science, Agricultural Research Organization (ARO), The Volcani Center, Rishon LeZion 7505101, Israel; [email protected] 6 U.S. Department of Agriculture—Agricultural Research Service (USDA-ARS), Kearneysville, WV 25430, USA; [email protected] 7 Department of Biological Sciences, Virginia Technical University, Blacksburg, VA 24061, USA 8 AGROINNOVA—Centre of Competence for the Innovation in the Agroenvironmental Sector, University of Torino, 10095 Grugliasco, Italy 9 Department of Agriculture, Università Mediterranea, 89122 Reggio Calabria, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0116708942 Abstract: Globalization has a dramatic effect on the trade and movement of seeds, fruits and vegeta- bles, with a corresponding increase in economic losses caused by the introduction of transboundary Citation: Piombo, E.; Abdelfattah, A.; plant pathogens. Current diagnostic techniques provide a useful and precise tool to enact surveillance Droby, S.; Wisniewski, M.; Spadaro, protocols regarding specific organisms, but this approach is strictly targeted, while metabarcoding D.; Schena, L. -
Evaluation of Seasonal Dynamics of Fungal DNA Assemblages in a Flow-Regulated Stream in a Restored Forest Using Edna Metabarcoding
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.10.420661; this version posted May 23, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Evaluation of seasonal dynamics of fungal DNA assemblages in a flow-regulated stream in a restored forest using eDNA metabarcoding Shunsuke Matsuoka1, Yoriko Sugiyama2, Yoshito Shimono3, Masayuki Ushio4,5, Hideyuki Doi1 1. Graduate School of Simulation Studies, University of Hyogo 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe, 650- 0047, Japan 2. Graduate School of Human and Environmental Studies, Kyoto University, Kyoto 606-8501, Japan 3. Graduate School of Bioresources, Mie University, 1577 Kurima-machiya, Tsu, Mie 514-8507, Japan 4. Hakubi Center, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan 5. Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, Shiga 520-2113, Japan Corresponding author: Shunsuke Matsuoka ([email protected]) Abstract Investigation of seasonal variations in fungal communities is essential for understanding biodiversity and ecosystem functions. However, the conventional sampling method, with substrate removal and high spatial heterogeneity of community compositions, makes surveying the seasonality of fungal communities challenging. Recently, water environmental DNA (eDNA) analysis has been explored for its utility in biodiversity surveys. In this study, we assessed whether the seasonality of fungal communities can be detected by monitoring eDNA in a forest stream. We conducted monthly water sampling in a forest stream over two years and used DNA metabarcoding to identify fungal eDNA. -
Using DNA Barcodes to Identify and Classify Living Things
Using DNA Barcodes to Identify and Classify Living Things www.dnabarcoding101.org LABORATORY Using DNA Barcodes to Identify and Classify Living Things OBJECTIVES This laboratory demonstrates several important concepts of modern biology. During this laboratory, you will: • Collect and analyze sequence data from plants, fungi, or animals—or products made from them. • Use DNA sequence to identify species. • Explore relationships between species. In addition, this laboratory utilizes several experimental and bioinformatics methods in modern biological research. You will: • Collect plants, fungi, animals, or products in your local environment or neighborhood. • Extract and purify DNA from tissue or processed material. • Amplify a specific region of the chloroplast, mitochondrial, or nuclear genome by polymerase chain reaction (PCR) and analyze PCR products by gel electrophoresis. • Use the Basic Local Alignment Search Tool (BLAST) to identify sequences in databases. • Use multiple sequence alignment and tree-building tools to analyze phylogenetic relation - ships. INTRODUCTION Taxonomy, the science of classifying living things according to shared features, has always been a part of human society. Carl Linneas formalized biological classifi - cation with his system of binomial nomenclature that assigns each organism a genus and species name. Identifying organisms has grown in importance as we monitor the biological effects of global climate change and attempt to preserve species diversity in the face of accelerating habitat destruction. We know very little about the diversity of plants and animals—let alone microbes—living in many unique ecosystems on earth. Less than two million of the estimated 5–50 million plant and animal species have been identified. Scientists agree that the yearly rate of extinction has increased from about one species per million to 100–1,000 species per million. -
DNA Barcoding Distinguishes Pest Species of the Black Fly Genus <I
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications: Department of Entomology Entomology, Department of 11-2013 DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae) I. M. Confitti University of Toronto K. P. Pruess University of Nebraska-Lincoln A. Cywinska Ingenomics, Inc. T. O. Powers University of Nebraska-Lincoln D. C. Currie University of Toronto and Royal Ontario Museum, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/entomologyfacpub Part of the Entomology Commons Confitti, I. M.; Pruess, K. P.; Cywinska, A.; Powers, T. O.; and Currie, D. C., "DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae)" (2013). Faculty Publications: Department of Entomology. 616. http://digitalcommons.unl.edu/entomologyfacpub/616 This Article is brought to you for free and open access by the Entomology, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications: Department of Entomology by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. MOLECULAR BIOLOGY/GENOMICS DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae) 1,2 3 4 5 1,2,6 I. M. CONFLITTI, K. P. PRUESS, A. CYWINSKA, T. O. POWERS, AND D. C. CURRIE J. Med. Entomol. 50(6): 1250Ð1260 (2013); DOI: http://dx.doi.org/10.1603/ME13063 ABSTRACT Accurate species identiÞcation is essential for cost-effective pest control strategies. We tested the utility of COI barcodes for identifying members of the black ßy genus Cnephia Enderlein (Diptera: Simuliidae). Our efforts focus on four Nearctic Cnephia speciesÑCnephia dacotensis (Dyar & Shannon), Cnephia eremities Shewell, Cnephia ornithophilia (Davies, Peterson & Wood), and Cnephia pecuarum (Riley)Ñthe latter two being current or potential targets of biological control programs. -
Environmental DNA for Wildlife Biology and Biodiversity Monitoring
Review Environmental DNA for wildlife biology and biodiversity monitoring 1,2* 3* 1,4 3 Kristine Bohmann , Alice Evans , M. Thomas P. Gilbert , Gary R. Carvalho , 3 3 5,6 3 Simon Creer , Michael Knapp , Douglas W. Yu , and Mark de Bruyn 1 Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5–7, 1350 Copenhagen K, Denmark 2 School of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 1UG, UK 3 Molecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Deiniol Road, Bangor University, Bangor LL57 2UW, UK 4 Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, Perth, Western Australia 6845, Australia 5 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang East Road, Kunming, Yunnan 650223, China 6 School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk NR4 7TJ, UK Extraction and identification of DNA from an environ- technology. Today, science fiction is becoming reality as a mental sample has proven noteworthy recently in growing number of biologists are using eDNA for species detecting and monitoring not only common species, detection and biomonitoring, circumventing, or at least but also those that are endangered, invasive, or elusive. alleviating, the need to sight or sample living organisms. Particular attributes of so-called environmental DNA Such approaches are also accelerating the rate of discovery, (eDNA) analysis render it a potent tool for elucidating because no a priori information about the likely species mechanistic insights in ecological and evolutionary pro- found in a particular environment is required to identify cesses. -
DNA Barcoding Analysis and Phylogenetic Relation of Mangroves in Guangdong Province, China
Article DNA Barcoding Analysis and Phylogenetic Relation of Mangroves in Guangdong Province, China Feng Wu 1,2 , Mei Li 1, Baowen Liao 1,*, Xin Shi 1 and Yong Xu 3,4 1 Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China; [email protected] (F.W.); [email protected] (M.L.); [email protected] (X.S.) 2 Zhaoqing Xinghu National Wetland Park Management Center, Zhaoqing 526060, China 3 Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China; [email protected] 4 University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence: [email protected]; Tel.: +86-020-8702-8494 Received: 9 December 2018; Accepted: 4 January 2019; Published: 12 January 2019 Abstract: Mangroves are distributed in the transition zone between sea and land, mostly in tropical and subtropical areas. They provide important ecosystem services and are therefore economically valuable. DNA barcoding is a useful tool for species identification and phylogenetic reconstruction. To evaluate the effectiveness of DNA barcoding in identifying mangrove species, we sampled 135 individuals representing 23 species, 22 genera, and 17 families from Zhanjiang, Shenzhen, Huizhou, and Shantou in the Guangdong province, China. We tested the universality of four DNA barcodes, namely rbcL, matK, trnH-psbA, and the internal transcribed spacer of nuclear ribosomal DNA (ITS), and examined their efficacy for species identification and the phylogenetic reconstruction of mangroves. The success rates for PCR amplification of rbcL, matK, trnH-psbA, and ITS were 100%, 80.29% ± 8.48%, 99.38% ± 1.25%, and 97.18% ± 3.25%, respectively, and the rates of DNA sequencing were 100%, 75.04% ± 6.26%, 94.57% ± 5.06%, and 83.35% ± 4.05%, respectively. -
Cristescu TREE 2014.Pdf
TREE-1853; No. of Pages 6 Opinion From barcoding single individuals to metabarcoding biological communities: towards an integrative approach to the study of global biodiversity Melania E. Cristescu Department of Biology, McGill University, Montreal, QC H3A 1B1, Canada DNA-based species identification, known as barcoding, introduced by Arnot et al. [6] and was firmly advanced transformed the traditional approach to the study of and standardized by Hebert et al. [7]. The simple idea of biodiversity science. The field is transitioning from bar- using a short DNA fragment as a barcode (see Glossary) for coding individuals to metabarcoding communities. This identifying species across the Metazoa has been both revolution involves new sequencing technologies, bio- strongly embraced and vigorously scrutinized over the past informatics pipelines, computational infrastructure, and decade [8,9]. Nevertheless, the efforts led by Paul Hebert, experimental designs. In this dynamic genomics land- and supported by the Consortium for the Barcode of Life scape, metabarcoding studies remain insular and biodi- (CBoL; http://www.barcodeoflife.org/) resulted in a global versity estimates depend on the particular methods enterprise that combined molecular tools with valuable but used. In this opinion article, I discuss the need for a scarce taxonomic expertise [10,11]. Today, DNA barcodes coordinated advancement of DNA-based species identi- are being used commonly to identify specimens and the fication that integrates taxonomic and barcoding infor- approach has wide applications in biodiversity conserva- mation. Such an approach would facilitate access to tion, environmental management, invasion biology, the almost 3 centuries of taxonomic knowledge and 1 de- study of trophic interactions, and food safety [12–14]. -
Edna in a Bottleneck: Obstacles to Fish Metabarcoding Studies in Megadiverse Freshwater 3 Systems 4 5 Authors: 6 Jake M
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.05.425493; this version posted January 7, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 Title: 2 eDNA in a bottleneck: obstacles to fish metabarcoding studies in megadiverse freshwater 3 systems 4 5 Authors: 6 Jake M. Jackman1, Chiara Benvenuto1, Ilaria Coscia1, Cintia Oliveira Carvalho2, Jonathan S. 7 Ready2, Jean P. Boubli1, William E. Magnusson3, Allan D. McDevitt1* and Naiara Guimarães 8 Sales1,4* 9 10 Addresses: 11 1Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, 12 University of Salford, Salford, M5 4WT, UK 13 2Centro de Estudos Avançados de Biodiversidade, Instituto de Ciências Biológicas, Universidade 14 Federal do Pará, Belém, Brazil 15 3Coordenação de Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Manaus, 16 Amazonas, Brazil 17 4CESAM - Centre for Environmental and Marine Studies, Departamento de Biologia Animal, 18 Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal 19 20 *Corresponding authors: 21 Naiara Guimarães Sales, [email protected] 22 Allan McDevitt, [email protected] 23 24 Running title: Obstacles to eDNA surveys in megadiverse systems 25 26 Keywords: Amazon, barcoding gap, freshwater, MiFish, Neotropics, reference database, 27 taxonomic resolution 28 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.05.425493; this version posted January 7, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Environmental DNA for Improved Detection and Environmental Surveillance of Schistosomiasis
Environmental DNA for improved detection and environmental surveillance of schistosomiasis Mita E. Senguptaa,1, Micaela Hellströmb,c, Henry C. Kariukid, Annette Olsena, Philip F. Thomsenb,e, Helena Mejera, Eske Willerslevb,f,g,h, Mariam T. Mwanjei, Henry Madsena, Thomas K. Kristensena, Anna-Sofie Stensgaardj,2, and Birgitte J. Vennervalda,2 aDepartment of Veterinary and Animal Sciences, University of Copenhagen, DK-1870 Frederiksberg, Denmark; bCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark; cAquabiota Water Research, SE-115 50, Sweden; dDepartment of Microbiology and Parasitology, Kenya Methodist University, 60200 Meru, Kenya; eDepartment of Bioscience, University of Aarhus, DK-8000 Aarhus C, Denmark; fDepartment of Zoology, University of Cambridge, CB2 3EJ Cambridge, United Kingdom; gHuman Genetics Programme, Wellcome Trust Sanger Institute, Hinxton, SB10 1SA Cambridge, United Kingdom; hDanish Institute for Advanced Study, University of Southern Denmark, DK-5230 Odense M, Denmark; iNeglected Tropical Diseases Unit, Division of Communicable Disease Prevention and Control, Ministry of Health, Nairobi, Kenya; and jCenter for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, DK-2100 Copenhagen, Denmark Edited by Andrea Rinaldo, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, and approved March 18, 2019 (received for review September 21, 2018) Schistosomiasis is a water-based, infectious disease with -
Metabarcoding in the Abyss: Uncovering Deep-Sea Biodiversity Through Environmental
Metabarcoding in the abyss : uncovering deep-sea biodiversity through environmental DNA Miriam Isabelle Brandt To cite this version: Miriam Isabelle Brandt. Metabarcoding in the abyss : uncovering deep-sea biodiversity through environmental DNA. Agricultural sciences. Université Montpellier, 2020. English. NNT : 2020MONTG033. tel-03197842 HAL Id: tel-03197842 https://tel.archives-ouvertes.fr/tel-03197842 Submitted on 14 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE POUR OBTENIR LE GRADE DE DOCTEUR DE L’UNIVERSITÉ DE M ONTPELLIER En Sciences de l'Évolution et de la Biodiversité École doctorale GAIA Unité mixte de recherche MARBEC Pourquoi Pas les Abysses ? L’ADN environnemental pour l’étude de la biodiversité des grands fonds marins Metabarcoding in the abyss: uncovering deep - sea biodiversity through environmental DNA Présentée par Miriam Isabelle BRANDT Le 10 juillet 2020 Sous la direction de Sophie ARNAUD-HAOND et Daniela ZEPPILLI Devant le jury composé de Sofie DERYCKE, Senior researcher/Professeur rang A, ILVO, Belgique Rapporteur -
DNA Barcoding for Species Identification and Discovery in Diatoms
557_578_MANN.fm Page 557 Mercredi, 8. décembre 2010 8:58 08 Cryptogamie, Algologie, 2010, 31 (4): 557-577 © 2010 Adac. Tous droits réservés DNA barcoding for species identification and discovery in diatoms David G. MANN a* , Shinya SATO a, Rosa TROBAJO b, Pieter VANORMELINGEN c & Caroline SOUFFREAU c a Royal Botanic Garden Edinburgh, Inverleith Row, Edinburgh EH3 5LR, Scotland, UK b Aquatic Ecosystems, Institute for Food and Agricultural Research and Technology (IRTA), Ctra Poble Nou Km 5.5, Sant Carles de la Ràpita, Catalunya, E-43540, Spain c Laboratory of Protistology and Aquatic Ecology, Department of Biology, Ghent University, Krijgslaan 281-S8, B-9000 Gent, Belgium Abstract – Diatoms are the largest group of microalgae, play an enormous role in the biosphere, and have major significance as bioindicators. Traditional identification requires inter alia long training, considerable microscopical skill, and use of a vast and scattered literature. During the life cycle, diatom cells change in size and pattern, often also shape, but the full cycle is known in <1% of described species. Recent evidence shows that there are many pseudocryptic and cryptic species of diatoms, requiring molecular methods for discovery and recognition. These and other factors argue that DNA barcoding would be highly beneficial. It could be ‘strong’, resolving nearly all species, or ‘weak’, resolving mostly species already recognized from light microscopy. Attempts have already been made to identify suitable genes and we evaluate these on the basis of universality and practicality, and ability to discriminate between species in the very few ‘model’ systems offering likely examples of sister-species-pairs. No candidate marker is ideal but LSU rDNA and rbcL may be acceptable, though their discriminatory power is lower than that of some other markers.