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Willocx M, Van der Beeten I, Asselman P, Delgat L, Baert W, Janssens SB, Leliaert F, Picron JF, Vanhee C. Sorting out the plants responsible for a contamination with pyrrolizidine alkaloids in spice seeds by means of LC-MS/MS and DNA barcoding: Proof of principle with cumin and anise spice seeds. FOOD CHEMISTRY: MOLECULAR SCIENCES 2022; 4:100070. [PMID: 35415703 PMCID: PMC8991971 DOI: 10.1016/j.fochms.2021.100070] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/19/2021] [Accepted: 12/28/2021] [Indexed: 11/30/2022]
Abstract
Identification of contaminating plants in seed spice with DNA barcoding. The obtained data concurs the previously obtained results with DNA metabarcoding. Heliotropium sp. is the predominant source of phytotoxic PA/PANOs in those samples. The presence of only 2 Heliotropium seeds/jar can render a sample non-compliant. The benefit combining chemical and molecular approach to check for phytotoxins.
High value commodities such as spices suffer from occasional contaminations of both chemical and biological origin. Consequently, quality control and safety monitoring has become a pressing issue for the spice industry. Two recent independent studies showed that at least one third of the analyzed cumin and green anise spice seeds samples surpassed the by the European Union recently established threshold value for toxic pyrrolizidine alkaloids (PAs) and their corresponding N-oxides (PANOs). These heterocyclic secondary plant metabolites are produced by a large number of different plant families. In those spice seeds, it was found by means of DNA metabarcoding, that predominant contamination was due to the presence of herbal material from the Heliotropium genus (Boraginaceae). Unfortunately, the use of this specific type of DNA-based identification remains controversial for the majority of the official instances and preference is still given to the use of more tangible classical approaches, including microscopy and chemical analysis. However, these methodologies often suffer from inherent drawbacks. Here we demonstrate that at least for spice seeds, a combinatory approach of microscopy, chemical analysis and classical DNA barcoding of the isolated contaminants using the matK and trnH-psbA loci, provides qualitative and quantitative information on the amount of plant material responsible for the contaminations and the extent of the contamination. The generated data also demonstrates that the presence of a very limited number of Heliotropium sp. seeds in a standard commercially available canister is sufficient to surpass the allowed threshold value, illustrating once more the importance of weed control.
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Owen CL, Marshall DC, Wade EJ, Meister R, Goemans G, Kunte K, Moulds M, Hill K, Villet M, Pham TH, Kortyna M, Lemmon EM, Lemmon AR, Simon C. Detecting and removing sample contamination in phylogenomic data: an example and its implications for Cicadidae phylogeny (Insecta: Hemiptera). Syst Biol 2022; 71:1504-1523. [PMID: 35708660 DOI: 10.1093/sysbio/syac043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 05/23/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
Contamination of a genetic sample with DNA from one or more non-target species is a continuing concern of molecular phylogenetic studies, both Sanger sequencing studies and Next-Generation Sequencing (NGS) studies. We developed an automated pipeline for identifying and excluding likely cross-contaminated loci based on detection of bimodal distributions of patristic distances across gene trees. When the contamination occurs between samples within a dataset, comparisons between a contaminated sample and its contaminant taxon will yield bimodal distributions with one peak close to zero patristic distance. This new method does not rely on a priori knowledge of taxon relatedness nor does it determine the causes(s) of the contamination. Exclusion of putatively contaminated loci from a dataset generated for the insect family Cicadidae showed that these sequences were affecting some topological patterns and branch supports, although the effects were sometimes subtle, with some contamination-influenced relationships exhibiting strong bootstrap support. Long tip branches and outlier values for one anchored phylogenomic pipeline statistic (AvgNHomologs) were correlated with the presence of contamination. While the AHE markers used here, which target hemipteroid taxa, proved effective in resolving deep and shallow level Cicadidae relationships in aggregate, individual markers contained inadequate phylogenetic signal, in part probably due to short length. The cleaned dataset, consisting of 429 loci, from 90 genera representing 44 of 56 current Cicadidae tribes, supported three of the four sampled Cicadidae subfamilies in concatenated-matrix maximum likelihood (ML) and multispecies coalescent-based species tree analyses, with the fourth subfamily weakly supported in the ML trees. No well-supported patterns from previous family-level Sanger sequencing studies of Cicadidae phylogeny were contradicted. One taxon (Aragualna plenalinea) did not fall with its current subfamily in the genetic tree, and this genus and its tribe Aragualnini is reclassified to Tibicininae following morphological re-examination. Only subtle differences were observed in trees after removal of loci for which divergent base frequencies were detected. Greater success may be achieved by increased taxon sampling and developing a probe set targeting a more recent common ancestor and longer loci. Searches for contamination are an essential step in phylogenomic analyses of all kinds and our pipeline is an effective solution.
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Affiliation(s)
- Christopher L Owen
- Systematic Entomology Laboratory, USDA-ARS, c/o National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - David C Marshall
- Dept. of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Elizabeth J Wade
- Dept. of Natural Science and Mathematics, Curry College, Milton, MA 02186, USA
| | - Russ Meister
- Dept. of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Geert Goemans
- Dept. of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Krushnamegh Kunte
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bangalore 560 065, India
| | - Max Moulds
- Australian Museum Research Institute, 1 William Street, Sydney N.S.W, Australia. 2010
| | - Kathy Hill
- Dept. of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - M Villet
- Dept. of Biology, Rhodes University, Grahamstown 6140, South Africa
| | - Thai-Hong Pham
- Mientrung Institute for Scientific Research, Vietnam Academy of Science and Technology, Hue, Vietnam.,Vietnam National Museum of Nature and Graduate School of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Michelle Kortyna
- Department of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, USA
| | - Emily Moriarty Lemmon
- Department of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA
| | - Alan R Lemmon
- Department of Scientific Computing, Florida State University 400 Dirac Science Library, Tallahassee, FL 32306, USA
| | - Chris Simon
- Dept. of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
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Saccò M, Guzik MT, van der Heyde M, Nevill P, Cooper SJB, Austin AD, Coates PJ, Allentoft ME, White NE. eDNA in subterranean ecosystems: Applications, technical aspects, and future prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 820:153223. [PMID: 35063529 DOI: 10.1016/j.scitotenv.2022.153223] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 01/09/2022] [Accepted: 01/13/2022] [Indexed: 06/14/2023]
Abstract
Monitoring of biota is pivotal for the assessment and conservation of ecosystems. Environments worldwide are being continuously and increasingly exposed to multiple adverse impacts, and the accuracy and reliability of the biomonitoring tools that can be employed shape not only the present, but more importantly, the future of entire habitats. The analysis of environmental DNA (eDNA) metabarcoding data provides a quick, affordable, and reliable molecular approach for biodiversity assessments. However, while extensively employed in aquatic and terrestrial surface environments, eDNA-based studies targeting subterranean ecosystems are still uncommon due to the lack of accessibility and the cryptic nature of these environments and their species. Recent advances in genetic and genomic analyses have established a promising framework for shedding new light on subterranean biodiversity and ecology. To address current knowledge and the future use of eDNA methods in groundwaters and caves, this review explores conceptual and technical aspects of the application and its potential in subterranean systems. We briefly introduce subterranean biota and describe the most used traditional sampling techniques. Next, eDNA characteristics, application, and limitations in the subsurface environment are outlined. Last, we provide suggestions on how to overcome caveats and delineate some of the research avenues that will likely shape this field in the near future. We advocate that eDNA analyses, when carefully conducted and ideally combined with conventional sampling techniques, will substantially increase understanding and enable crucial expansion of subterranean community characterisation. Given the importance of groundwater and cave ecosystems for nature and humans, eDNA can bring to the surface essential insights, such as study of ecosystem assemblages and rare species detection, which are critical for the preservation of life below, as well as above, the ground.
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Affiliation(s)
- Mattia Saccò
- Subterranean Research and Groundwater Ecology (SuRGE) Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia.
| | - Michelle T Guzik
- Australian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide 5005, SA, Australia
| | - Mieke van der Heyde
- Subterranean Research and Groundwater Ecology (SuRGE) Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Steven J B Cooper
- Australian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide 5005, SA, Australia; Evolutionary Biology Unit, South Australian Museum, North Terrace, Adelaide 5000, SA, Australia
| | - Andrew D Austin
- Australian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide 5005, SA, Australia
| | - Peterson J Coates
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, 1 Challenger Drive, 1006, Dartmouth, Nova Scotia B2Y 4A2, Canada
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark
| | - Nicole E White
- Subterranean Research and Groundwater Ecology (SuRGE) Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
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Saito T, Fujimoto K, Uchida S, Yamazaki D, Hirano T, Sano I, Ye B, Kagawa O, Shariar Shovon M, Tu Do V, Morii Y, Prozorova L, Chiba S. Uncovering overlooked diversity using molecular phylogenetic approach: a case of Japanese sphaeriid clams (Sphaeriidae: Bivalvia). Mol Phylogenet Evol 2022; 173:107508. [DOI: 10.1016/j.ympev.2022.107508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 03/29/2022] [Accepted: 04/05/2022] [Indexed: 12/12/2022]
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Mulcahy DG, Ibáñez R, Jaramillo CA, Crawford AJ, Ray JM, Gotte SW, Jacobs JF, Wynn AH, Gonzalez-Porter GP, McDiarmid RW, Crombie RI, Zug GR, de Queiroz K. DNA barcoding of the National Museum of Natural History reptile tissue holdings raises concerns about the use of natural history collections and the responsibilities of scientists in the molecular age. PLoS One 2022; 17:e0264930. [PMID: 35245325 PMCID: PMC8896674 DOI: 10.1371/journal.pone.0264930] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 02/22/2022] [Indexed: 01/09/2023] Open
Abstract
Natural history collections are essential to a wide variety of studies in biology because they maintain large collections of specimens and associated data, including genetic material (e.g., tissues) for DNA sequence data, yet they are currently under-funded and collection staff have high workloads. With the advent of aggregate databases and advances in sequencing technologies, there is an increased demand on collection staff for access to tissue samples and associated data. Scientists are rapidly developing large DNA barcode libraries, DNA sequences of specific genes for species across the tree of life, in order to document and conserve biodiversity. In doing so, mistakes are made. For instance, inconsistent taxonomic information is commonly taken from different lending institutions and deposited in data repositories, such as the Barcode of Life Database (BOLD) and GenBank, despite explicit disclaimers regarding the need for taxonomic verification by the lending institutions. Such errors can have profound effects on subsequent research based on these mis-labelled sequences in data repositories. Here, we present the production of a large DNA barcode library of reptiles from the National Museum of Natural History tissue holdings. The library contains 2,758 sequences (2,205 COI and 553 16S) from 2260 specimens (four crocodilians, 37 turtles, and 2,219 lizards, including snakes), representing 583 named species, from 52 countries. In generating this library, we noticed several common mistakes made by scientists depositing DNA barcode data in public repositories (e.g., BOLD and GenBank). Our goal is to raise awareness of these concerns and offer advice to avoid such mistakes in the future to maintain accurate DNA barcode libraries to properly document Earth’s biodiversity.
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Affiliation(s)
- Daniel G. Mulcahy
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
- * E-mail:
| | - Roberto Ibáñez
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Sistema Nacional de Investigación, SENACYT, Panamá City, República de Panamá
- Departamento de Zoología, Universidad de Panamá, Panamá City, República de Panamá
| | - Cesar A. Jaramillo
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Departamento de Histología y Neuroanatomía, Facultad de Medicina, Universidad de Panamá, Panamá City, República de Panamá
| | - Andrew J. Crawford
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biological Sciences, Museo de Historia Natural C.J. Marinkelle, Universidad de los Andes, Bogotá, Colombia
| | - Julie M. Ray
- Department of Biology, University of Nevada, Reno, Nevada, United States of America
| | - Steve W. Gotte
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
| | - Jeremy F. Jacobs
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
| | - Addison H. Wynn
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
| | | | - Roy W. McDiarmid
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
| | - Ronald I. Crombie
- Department of Herpetology, California Academy of Sciences, San Francisco, California, United States of America
| | - George R. Zug
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
| | - Kevin de Queiroz
- Division of Amphibians and Reptiles, Department of Vertebrate Zoology, National Museum of Natural History, Washington, DC, United States of America
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Morphometrics, Distribution, and DNA Barcoding: An Integrative Identification Approach to the Genus Odontotermes (Termitidae: Blattodea) of Khyber Pakhtunkhwa, Pakistan. FORESTS 2022. [DOI: 10.3390/f13050674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The neglected area of Khyber Pakhtunkhwa (Pakistan: Oriental region), consisting of Buner, Haripur, and Swabi districts, were surveyed for termites during the summer of 2016–2019 for identification and assessment of the distribution of colonies. Collections were made either directly from visible galleries or using traps with ethanol. Soldiers were used for morphometric identification and DNA extraction. Morphometric identification was carried out based on the available literature through measurements of 20 characters/indices and evaluating species differences statistically. Based on these characteristics, we generated a key and a distribution map of the genus Odontotermes for the study area. This is the first record of Odontotermes assmuthi and Odontotermes obesus in these three districts, the first record of Odontotermes parvidens for the Buner and Swabi districts, and the first record of Odontotermes horai for Haripur. We subsequently used barcoding of the mtDNA COII to verify species assignments of colonies and for phylogenetic analyses using Neighbor-Joining and Maximum Likelihood analyses.
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Identifying the Genetic Distance Threshold for Entiminae (Coleoptera: Curculionidae) Species Delimitation via COI Barcodes. INSECTS 2022; 13:insects13030261. [PMID: 35323559 PMCID: PMC8953793 DOI: 10.3390/insects13030261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 02/27/2022] [Accepted: 03/03/2022] [Indexed: 02/01/2023]
Abstract
The subfamily Entiminae is the largest group in the family Curculionidae, and it has long represented a challenge in traditional and molecular classification. Here, we analyzed intra- and interspecific genetic distances of 621 public COI barcode sequences (658bp) from 39 genera and 110 species of Entiminae, to determine parameters most congruent in retaining established species. We found that the mean intraspecific genetic distance (3.07%) was much smaller than the mean interspecific one (21.96%), but there is a wide range of overlap between intra- and interspecific genetic distances (0.77−18.01%), indicating that there is no consistent, universal barcoding gap. Specifically, DNA barcoding gap analysis for morphospecies revealed that 102 of 110 morphospecies had barcoding gaps, and 9.18% was the optimum threshold of genetic distances for 97 species delimitation. We further confirmed this threshold with barcodes from 27 morphologically identified specimens (including 21 newly reported barcodes) sequenced from five genera and seven species. We also identified thresholds to delimit congeneric species within 14 selected genera (species > 2), which varied from 7.42% (Trichalophus) to 13.48% (Barypeithes). We herein present optimal parameters for species identification in the Entiminae. Our study suggests that despite no universal genetic distance threshold value in subfamily Entiminae, 9.18% is optimal for most species. We recommend a wider sampling of geographic populations to better account for intraspecific distance variation, and that genetic distance thresholds for species delimitation should be refined at the genus level.
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58
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Mislabelled frozen fish fillets in the Klang Valley in Malaysia and its potential impact on consumers. J Verbrauch Lebensm 2022. [DOI: 10.1007/s00003-022-01373-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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59
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Williams KA, Smit A, Neves L, Snyman LP. Evaluating the morphological and molecular challenges in identifying the afrotropical Atylotus species (Diptera: Tabanidae). Acta Trop 2022; 226:106262. [PMID: 34871565 DOI: 10.1016/j.actatropica.2021.106262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/22/2021] [Accepted: 12/01/2021] [Indexed: 11/25/2022]
Abstract
The Afrotropical fly genus, Atylotus has previously shown little differentiation into species groups using the barcode gene COI. This study analysed all available Atylotus COI sequences from GenBank and BOLD to determine if COI is suitable for delimiting species of this genus. Morphological assessments of the different Afrotropical species were done to determine if these species have been accurately identified in recent publications. The results show that COI does not separate the species of this genus into species clades and these species are often misidentified in the literature. This is of concern as species of this genus are known vectors of pathogens and misidentifications have serious implications for management practices. Additional genes need to be used in future molecular studies to differentiate species.
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60
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Saito T. Monitoring and databasing nonnative species to manage establishment debt in aquatic ecosystems. Ecol Res 2022. [DOI: 10.1111/1440-1703.12295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Takumi Saito
- Department of Biology, Faculty of Science Toho University Funabashi Chiba Japan
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61
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Taleb M, Tail G, Djedouani B, Nihal Açıkgöz H. Impact of plastic wrapping on carcass decomposition and arthropod colonisation in northern Africa during spring. Sci Justice 2022; 62:117-127. [PMID: 35033324 DOI: 10.1016/j.scijus.2021.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 10/19/2021] [Accepted: 11/22/2021] [Indexed: 11/29/2022]
Abstract
The effect of plastic wrapping on decomposition rate and carrion fauna of rabbits (Oryctolagus cuniculus L.) was examined in spring in a semi-urban area in North Algeria. All decomposition stages were observed in all carcasses, with the same durations in the control but different durations in the wrapped carcasses. Decomposition of the carcasses in the plastic wrapping was significantly slower than that of the exposed ones. A total of 12,516 specimens, belonging to 36 families and 69 species, were morphologically identified. Thirteen species of forensic relevance were also identified at the molecular level using the cytochrome c oxidase I (COI) barcode region, and the sequences were submitted to online databases. Wrapping had a significant effect on species composition (χ2 = 569.269, df = 55, p < 0.001). Higher species richness, abundance, and diversity were found in the control group. No significant difference in species abundance was observed between the treatments. The plastic wrap did not influence the accessibility of carcasses to insects, nor did it delay the arrival of necrophagous flies. This study provides basic information on the decomposition and arthropod colonisation of wrapped remains and contributes to the literature on North African carrion fauna.
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Affiliation(s)
- Meriem Taleb
- Department of Biology, University of Blida 1, Blida, Algeria.
| | - Ghania Tail
- Department of Biology, University of Blida 1, Blida, Algeria
| | - Brahim Djedouani
- Department of Legal Medicine, National Institute of Criminalistics and Criminology, Algiers, Algeria
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Abouabdallah MA, Peyrard N, Franc A. Does clustering of DNA barcodes agree with botanical classification directly at high taxonomic levels? Trees in French Guiana as a case study. Mol Ecol Resour 2022; 22:1746-1761. [PMID: 34995403 DOI: 10.1111/1755-0998.13579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 12/16/2021] [Indexed: 11/29/2022]
Abstract
Characterising biodiversity is one of the main challenges for the coming decades. Most diversity has not been morphologically described and barcoding is now complementing morphological-based taxonomy to further develop inventories. Both approaches have been cross-validated at the level of species and OTUs. However, many known species are not listed in reference databases. One path to speed up inventories using barcoding is to directly identify individuals at coarser taxonomic levels. We therefore studied in barcoding of plants whether morphological-based and molecular-based approaches are in agreement at genus, family and order levels. We used Agglomerative Hierarchical Clustering (with Ward, Complete and Single Linkage) and Stochastic Block Models (SBM), with two dissimilarity measures (Smith-Waterman scores, kmers). The agreement between morphological-based and molecular-based classifications ranges in most of the cases from good to very good at taxonomic levels above species, even though it decreases when taxonomic levels increase, or when using the tetramer-based distance. Agreement is correlated with the entropy of morphological-based classification and with the ratio of the mean within- and mean between-groups dissimilarities. The Ward method globally leads to the best agreement whereas Single Linkage can show poor behaviours. SBM provides a useful tool to test whether or not the dissimilarities are structured by the botanical groups. These results suggest that automatic clustering and group identification at taxonomic levels above species are possible in barcoding.
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Affiliation(s)
- Mohamed Anwar Abouabdallah
- BIOGECO, INRAE, Université de Bordeaux, 33612, Cestas, France.,Pleiade, EPC INRIA-INRAE-CNRS, Université de Bordeaux, 33405, Talence, France
| | - Nathalie Peyrard
- Université de Toulouse, INRAE, UR MIAT, F-31320, Castanet-Tolosan, France
| | - Alain Franc
- BIOGECO, INRAE, Université de Bordeaux, 33612, Cestas, France.,Pleiade, EPC INRIA-INRAE-CNRS, Université de Bordeaux, 33405, Talence, France
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DNA barcoding of insects from India: Current status and future perspectives. Mol Biol Rep 2022; 49:10617-10626. [PMID: 35716293 PMCID: PMC9206398 DOI: 10.1007/s11033-022-07628-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 11/01/2022]
Abstract
Insect fauna occupy the largest proportion of animal biodiversity on earth, but the assessment or quantification in terms of species diversity is far from complete. Several recent studies have demonstrated the rapid pace at which insect population decline is occurring. There is an urgent need to document and quantify the diversity of insect fauna for a proper understanding of terrestrial ecosystems. This can be achieved by using modern technology to identify species much faster than relying on traditional methods alone. In line with this, the molecular approach through DNA barcoding coupled with morphological identification needs to be focused and accelerated. The present paper describes the current status of barcoding of insect species in India along with the gaps that need to be remedied. This analysis shows that barcoded specimens cover a very meagre proportion of less than 3.73% of the known taxa/described species and the most represented orders are Lepidoptera and Hemiptera followed by Diptera and Coleoptera. There is a need to expedite insect species discovery and documentation in a collaborative mode between traditional taxonomists and molecular biologists, to accomplish the DNA barcoding of all known insect taxa from India.
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Radulovici AE, Vieira PE, Duarte S, Teixeira MAL, Borges LMS, Deagle BE, Majaneva S, Redmond N, Schultz JA, Costa FO. Revision and annotation of DNA barcode records for marine invertebrates: report of the 8th iBOL conference hackathon. METABARCODING AND METAGENOMICS 2021. [DOI: 10.3897/mbmg.5.67862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The accuracy of specimen identification through DNA barcoding and metabarcoding relies on reference libraries containing records with reliable taxonomy and sequence quality. The considerable growth in barcode data requires stringent data curation, especially in taxonomically difficult groups such as marine invertebrates. A major effort in curating marine barcode data in the Barcode of Life Data Systems (BOLD) was undertaken during the 8th International Barcode of Life Conference (Trondheim, Norway, 2019). Major taxonomic groups (crustaceans, echinoderms, molluscs, and polychaetes) were reviewed to identify those which had disagreement between Linnaean names and Barcode Index Numbers (BINs). The records with disagreement were annotated with four tags: a) MIS-ID (misidentified, mislabeled, or contaminated records), b) AMBIG (ambiguous records unresolved with the existing data), c) COMPLEX (species names occurring in multiple BINs), and d) SHARE (barcodes shared between species). A total of 83,712 specimen records corresponding to 7,576 species were reviewed and 39% of the species were tagged (7% MIS-ID, 17% AMBIG, 14% COMPLEX, and 1% SHARE). High percentages (>50%) of AMBIG tags were recorded in gastropods, whereas COMPLEX tags dominated in crustaceans and polychaetes. The high proportion of tagged species reflects either flaws in the barcoding workflow (e.g., misidentification, cross-contamination) or taxonomic difficulties (e.g., synonyms, undescribed species). Although data curation is essential for barcode applications, such manual attempts to examine large datasets are unsustainable and automated solutions are extremely desirable.
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Are well-studied marine biodiversity hotspots still blackspots for animal barcoding? Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01909] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
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66
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Lue CH, Buffington ML, Scheffer S, Lewis M, Elliott TA, Lindsey ARI, Driskell A, Jandova A, Kimura MT, Carton Y, Kula RR, Schlenke TA, Mateos M, Govind S, Varaldi J, Guerrieri E, Giorgini M, Wang X, Hoelmer K, Daane KM, Abram PK, Pardikes NA, Brown JJ, Thierry M, Poirié M, Goldstein P, Miller SE, Tracey WD, Davis JS, Jiggins FM, Wertheim B, Lewis OT, Leips J, Staniczenko PPA, Hrcek J. DROP: Molecular voucher database for identification of Drosophila parasitoids. Mol Ecol Resour 2021; 21:2437-2454. [PMID: 34051038 DOI: 10.1111/1755-0998.13435] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/11/2021] [Accepted: 05/20/2021] [Indexed: 01/03/2023]
Abstract
Molecular identification is increasingly used to speed up biodiversity surveys and laboratory experiments. However, many groups of organisms cannot be reliably identified using standard databases such as GenBank or BOLD due to lack of sequenced voucher specimens identified by experts. Sometimes a large number of sequences are available, but with too many errors to allow identification. Here, we address this problem for parasitoids of Drosophila by introducing a curated open-access molecular reference database, DROP (Drosophila parasitoids). Identifying Drosophila parasitoids is challenging and poses a major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of Drosophila suzukii. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. To initiate DROP, we curated 154 laboratory strains, 856 vouchers, 554 DNA sequences, 16 genomes, 14 transcriptomes, and six proteomes drawn from a total of 183 operational taxonomic units (OTUs): 114 described Drosophila parasitoid species and 69 provisional species. We found species richness of Drosophila parasitoids to be heavily underestimated and provide an updated taxonomic catalogue for the community. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyse research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
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Affiliation(s)
- Chia-Hua Lue
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- Department of Biology, Brooklyn College, City University of New York (CUNY), Brooklyn, NY, USA
| | - Matthew L Buffington
- Systematic Entomology Laboratory, ARS/USDA c/o Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Sonja Scheffer
- Systematic Entomology Laboratory, ARS/USDA c/o Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Matthew Lewis
- Systematic Entomology Laboratory, ARS/USDA c/o Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Tyler A Elliott
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Amy Driskell
- Laboratories of Analytical Biology, Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Anna Jandova
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | | | - Yves Carton
- "Évolution, Génomes, Comportement, Écologie", CNRS et Université Paris-Saclay, Paris, France
| | - Robert R Kula
- Systematic Entomology Laboratory, ARS/USDA c/o Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Todd A Schlenke
- Department of Entomology, University of Arizona, Tucson, AZ, USA
| | - Mariana Mateos
- Wildlife and Fisheries Sciences Department, Texas A&M University, College Station, TX, USA
| | - Shubha Govind
- The Graduate Center of the City University of New York, New York, NY, USA
| | - Julien Varaldi
- CNRS, Laboratoire de Biométrie et Biologie Evolutive, UMR 5558, Université de Lyon, Université Lyon 1, Villeurbanne, France
| | - Emilio Guerrieri
- CNR-Institute for Sustainable Plant Protection (CNR-IPSP), National Research Council of Italy, Portici, Italy
| | - Massimo Giorgini
- CNR-Institute for Sustainable Plant Protection (CNR-IPSP), National Research Council of Italy, Portici, Italy
| | - Xingeng Wang
- United States Department of Agriculture, Agricultural Research Services, Beneficial Insects Introduction Research Unit, Newark, DE, USA
| | - Kim Hoelmer
- United States Department of Agriculture, Agricultural Research Services, Beneficial Insects Introduction Research Unit, Newark, DE, USA
| | - Kent M Daane
- Department of Environmental Science, Policy and Management, University of California, Berkeley, CA, USA
| | - Paul K Abram
- Agriculture and Agri-Food Canada, Agassiz Research and Development Centre, Agassiz, BC, Canada
| | - Nicholas A Pardikes
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | - Joel J Brown
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- Faculty of Science, University of South Bohemia, Branisovska 31, Czech Republic
| | - Melanie Thierry
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- Faculty of Science, University of South Bohemia, Branisovska 31, Czech Republic
| | - Marylène Poirié
- INRAE, CNRS. and Evolution and Specificity of Multitrophic Interactions (ESIM) Sophia Agrobiotech Institute, Université "Côte d'Azur", Sophia Antipolis, France
| | - Paul Goldstein
- Systematic Entomology Laboratory, ARS/USDA c/o Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Scott E Miller
- Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - W Daniel Tracey
- Department of Biology, Indiana University Bloomington, Bloomington, IN, USA
- Gill Center for Biomolecular Science, Indiana University Bloomington, Bloomington, IN, USA
| | - Jeremy S Davis
- Department of Biology, Indiana University Bloomington, Bloomington, IN, USA
- Biology Department, University of Kentucky, Lexington, KY, USA
| | | | - Bregje Wertheim
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands
| | - Owen T Lewis
- Department of Zoology, University of Oxford, Oxford, UK
| | - Jeff Leips
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Phillip P A Staniczenko
- Department of Biology, Brooklyn College, City University of New York (CUNY), Brooklyn, NY, USA
| | - Jan Hrcek
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- Faculty of Science, University of South Bohemia, Branisovska 31, Czech Republic
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67
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Roslin T, Somervuo P, Pentinsaari M, Hebert PDN, Agda J, Ahlroth P, Anttonen P, Aspi J, Blagoev G, Blanco S, Chan D, Clayhills T, deWaard J, deWaard S, Elliot T, Elo R, Haapala S, Helve E, Ilmonen J, Hirvonen P, Ho C, Itämies J, Ivanov V, Jakovlev J, Juslén A, Jussila R, Kahanpää J, Kaila L, Jari-PekkaKaitila, Kakko A, Kakko I, Karhu A, Karjalainen S, Kjaerandsen J, Koskinen J, Laasonen EM, Laasonen L, Laine E, Lampila P, Levesque-Beaudin V, Lu L, Lähteenaro M, Majuri P, Malmberg S, Manjunath R, Martikainen P, Mattila J, McKeown J, Metsälä P, Miklasevskaja M, Miller M, Miskie R, Muinonen A, Veli-MattiMukkala, Naik S, Nikolova N, Nupponen K, Ovaskainen O, Österblad I, Paasivirta L, Pajunen T, Parkko P, Paukkunen J, Penttinen R, Perez K, Pohjoismäki J, Prosser S, Raekunnas M, Rahulan M, Rannisto M, Ratnasingham S, Raukko P, Rinne A, Rintala T, Miranda Romo S, Salmela J, Salokannel J, Savolainen R, Schulman L, Sihvonen P, Soliman D, Sones J, Steinke C, Ståhls G, Tabell J, Tiusanen M, Várkonyi G, Vesterinen EJ, Viitanen E, Vikberg V, Viitasaari M, Vilen J, Warne C, Wei C, Winqvist K, Zakharov E, Mutanen M. A molecular-based identification resource for the arthropods of Finland. Mol Ecol Resour 2021; 22:803-822. [PMID: 34562055 DOI: 10.1111/1755-0998.13510] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.
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Affiliation(s)
- Tomas Roslin
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Panu Somervuo
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Mikko Pentinsaari
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Paul D N Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jireh Agda
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Petri Ahlroth
- Finnish Environment Institute (SYKE), Helsinki, Finland
| | - Perttu Anttonen
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Jouni Aspi
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Gergin Blagoev
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Santiago Blanco
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Dean Chan
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Jeremy deWaard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Stephanie deWaard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Tyler Elliot
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Riikka Elo
- Zoological Museum, Biodiversity Unit, University of Turku, Turku, Finland.,Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | | | | | - Jari Ilmonen
- Metsähallitus, Parks & Wildlife Finland, Vantaa, Finland
| | | | - Chris Ho
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Vladislav Ivanov
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | | | - Aino Juslén
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Jere Kahanpää
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Lauri Kaila
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | | | | | - Iiro Kakko
- Forssa Museum of Natural History, Forssa, Finland
| | | | | | - Jostein Kjaerandsen
- The Arctic University Museum of Norway, UiT -The Arctic University of Norway, Langnes, Tromsø, Norway
| | - Janne Koskinen
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.,Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | | | | | | | | | | | - Liuqiong Lu
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Meri Lähteenaro
- Division of Systematics, Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Entomology, Swedish Museum of Natural History, Stockholm, Sweden
| | | | | | - Ramya Manjunath
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Jaclyn McKeown
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Meredith Miller
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Renee Miskie
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Suresh Naik
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Nadia Nikolova
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Otso Ovaskainen
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.,Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Timo Pajunen
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Juho Paukkunen
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Ritva Penttinen
- Zoological Museum, Biodiversity Unit, University of Turku, Turku, Finland.,Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Kate Perez
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jaakko Pohjoismäki
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Sean Prosser
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Miduna Rahulan
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Meeri Rannisto
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | | | | | | | | | - Jukka Salmela
- Regional Museum of Lapland, Arktikum, Rovaniemi, Finland.,Arctic Centre, University of Lapland, Rovaniemi, Finland
| | | | - Riitta Savolainen
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Leif Schulman
- Finnish Environment Institute (SYKE), Helsinki, Finland.,Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | - Pasi Sihvonen
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | - Dina Soliman
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jayme Sones
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Claudia Steinke
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Gunilla Ståhls
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Mikko Tiusanen
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Gergely Várkonyi
- Biodiversity Centre, Finnish Environment Institute SYKE, Kuhmo, Finland
| | - Eero J Vesterinen
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Department of Biology, University of Turku, Turku, Finland
| | | | | | | | | | - Connor Warne
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Catherine Wei
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Evgeny Zakharov
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Marko Mutanen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
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68
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Bravo H, Cheng CLY, Iannucci A, Natali C, Quadros A, Rhodes M, Yip MML, Cannicci S, Fratini S. A DNA barcode library for mangrove gastropods and crabs of Hong Kong and the Greater Bay Area reveals an unexpected faunal diversity associated with the intertidal forests of Southern China. BMC Ecol Evol 2021; 21:180. [PMID: 34556035 PMCID: PMC8459539 DOI: 10.1186/s12862-021-01914-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 09/15/2021] [Indexed: 11/30/2022] Open
Abstract
Background Mangroves are tropical and subtropical intertidal forests colonising sheltered coasts across the world. They host a unique faunal community, dominated by brachyuran crabs and gastropods. These invertebrates strongly contribute to the functionality of the entire forest. The reliable assessment of mangrove faunal diversity is, thus, a crucial step for efficient management and conservation plans, but it is hindered by difficulties in species identification. Here we provide a verified DNA barcode library for brachyuran crabs and gastropods inhabiting the mangroves of the Greater Bay Area, Southern China. In particular, we collected and morphologically identified 1100 specimens of mangrove associated brachyuran crabs and gastropods. The partial sequences of the mtDNA cytochrome oxidase subunit I gene were obtained from 275 specimens. Barcode sequences were then used to delineate Molecular Operational Taxonomic Units (MOTUs), employing three different delimitation methods: the automatic barcode gap discovery (ABGD) method, the general mixed Yule coalescent (GMYC) model and a Bayesian implementation of the Poisson tree processes (bPTP) model. Results By integrating DNA barcodes with morphology, we identified 44 gastropod species and 58 brachyuran species associated with Hong Kong mangroves, with five and seven new records, for gastropods and crabs, respectively, for the Greater Bay Area. The delineation of MOTUs based on barcode sequences revealed a strong congruence between morphological and molecular identification for both taxa, showing the high reliability of the barcode library. Conclusions This study provides the first reference barcode library for mangrove-associated macrobenthic fauna in the Greater Bay Area and represents a reliable tool to management and conservation plans. Our molecular analyses resolved long lasting taxonomic misidentifications and inconsistencies and updated the knowledge on the geographical distribution of Asian mangrove associated fauna, ultimately highlighting a level of biodiversity higher than previously thought for Southern China. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01914-6.
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Affiliation(s)
- Henrique Bravo
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China.,Groningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC, Groningen, The Netherlands
| | - Christine L Y Cheng
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China
| | - Alessio Iannucci
- Department of Biology, University of Florence, 50019, Sesto Fiorentino, Italy
| | - Chiara Natali
- Department of Biology, University of Florence, 50019, Sesto Fiorentino, Italy
| | - Aline Quadros
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China
| | - Martin Rhodes
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China
| | - Matthew M L Yip
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China
| | - Stefano Cannicci
- The Swire Institute of Marine Science and Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong S.A.R., People's Republic of China. .,Department of Biology, University of Florence, 50019, Sesto Fiorentino, Italy.
| | - Sara Fratini
- Department of Biology, University of Florence, 50019, Sesto Fiorentino, Italy
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69
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Complete plastome phylogeny and an update on cox1 intron evolution of Hyoscyameae (Solanaceae). ORG DIVERS EVOL 2021. [DOI: 10.1007/s13127-021-00501-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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70
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Gross R, Lovrenčić L, Jelić M, Grandjean F, Ðuretanović S, Simić V, Burimski O, Bonassin L, Groza MI, Maguire I. Genetic diversity and structure of the noble crayfish populations in the Balkan Peninsula revealed by mitochondrial and microsatellite DNA markers. PeerJ 2021; 9:e11838. [PMID: 34430076 PMCID: PMC8349172 DOI: 10.7717/peerj.11838] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/01/2021] [Indexed: 11/20/2022] Open
Abstract
Background The noble crayfish (Astacus astacus) is a native European species in decline, with a contracting range and diminishing populations and abundance. Previous studies revealed this species significant genetic diversity in the south-eastern Europe, with populations from the western and the southern part of the Balkan Peninsula being the most divergent. However, sampling of populations from the western part of the Balkans was limited and insufficient for investigating genetic diversity and population divergence for the purpose of conservation planning and management. Thus, the major aim of this study was to fill in this knowledge gap by studying mitochondrial and microsatellite DNA diversity, using 413 noble crayfish from 18 populations from waterbodies in the western part of the Balkan Peninsula. Methods Phylogenetic analysis of studied populations and their mitochondrial diversity were studied using COI and 16S sequences and population genetic structure was described using 15 microsatellite loci. Results Phylogeographic analysis revealed new divergent mitochondrial haplotypes for the populations in the westernmost part of the Balkan Peninsula in the tributaries of the Sava and Drava rivers. Microsatellite data indicated that these populations harbour an important component of genetic diversity within A. astacus. The results suggest that the western part of the Balkans played an important role as microrefugia during the Pleistocene climate fluctuations, allowing the long term persistence of A. astacus populations in this region. These results will also be important to supporting conservation decision making and planning.
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Affiliation(s)
- Riho Gross
- Chair of Aquaculture, Estonian University of Life Sciences, Tartu, Estonia
| | - Leona Lovrenčić
- Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Mišel Jelić
- Department of Natural Sciences, Varaždin City Museum, Varaždin, Croatia
| | | | | | | | - Oksana Burimski
- Chair of Aquaculture, Estonian University of Life Sciences, Tartu, Estonia
| | - Lena Bonassin
- Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | | | - Ivana Maguire
- Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
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71
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van der Loos LM, Nijland R. Biases in bulk: DNA metabarcoding of marine communities and the methodology involved. Mol Ecol 2021; 30:3270-3288. [PMID: 32779312 PMCID: PMC8359149 DOI: 10.1111/mec.15592] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 07/28/2020] [Indexed: 12/22/2022]
Abstract
With the growing anthropogenic pressure on marine ecosystems, the need for efficient monitoring of biodiversity grows stronger. DNA metabarcoding of bulk samples is increasingly being implemented in ecosystem assessments and is more cost-efficient and less time-consuming than monitoring based on morphology. However, before raw sequences are obtained from bulk samples, a profound number of methodological choices must be made. Here, we critically review the recent methods used for metabarcoding of marine bulk samples (including benthic, plankton and diet samples) and indicate how potential biases can be introduced throughout sampling, preprocessing, DNA extraction, marker and primer selection, PCR amplification and sequencing. From a total of 64 studies evaluated, our recommendations for best practices include to (a) consider DESS as a fixative instead of ethanol, (b) use the DNeasy PowerSoil kit for any samples containing traces of sediment, (c) not limit the marker selection to COI only, but preferably include multiple markers for higher taxonomic resolution, (d) avoid touchdown PCR profiles, (e) use a fixed annealing temperature for each primer pair when comparing across studies or institutes, (f) use a minimum of three PCR replicates, and (g) include both negative and positive controls. Although the implementation of DNA metabarcoding still faces several technical complexities, we foresee wide-ranging advances in the near future, including improved bioinformatics for taxonomic assignment, sequencing of longer fragments and the use of whole-genome information. Despite the bulk of biases involved in metabarcoding of bulk samples, if appropriate controls are included along the data generation process, it is clear that DNA metabarcoding provides a valuable tool in ecosystem assessments.
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Affiliation(s)
- Luna M. van der Loos
- Marine Animal Ecology GroupWageningen UniversityWageningenThe Netherlands
- Present address:
Department of BiologyPhycology Research GroupGhent UniversityGhentBelgium
| | - Reindert Nijland
- Marine Animal Ecology GroupWageningen UniversityWageningenThe Netherlands
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72
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Estrada-Peña A, Cevidanes A, Sprong H, Millán J. Pitfalls in Tick and Tick-Borne Pathogens Research, Some Recommendations and a Call for Data Sharing. Pathogens 2021; 10:pathogens10060712. [PMID: 34200175 PMCID: PMC8229135 DOI: 10.3390/pathogens10060712] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/31/2021] [Accepted: 06/02/2021] [Indexed: 11/20/2022] Open
Abstract
An understanding of the relationships of ticks and tick-borne pathogens can only be achieved by integrating data from multiple studies. The publication of raw material is a necessary step for wide-area meta-analyses and study design, data collection and reporting require harmonization. This is an opinion paper, not a consensus position, and is open to debate. This work reflects our view about how data should be communicated in mainstream journals. We indicate rules that should be observed in recording weather data, to avoid serendipitous correlations between the density of ticks and climate variables and recommend the inclusion of raw data in reports. We stress the need for standardized methods to collect ticks that cannot be obtained by standard flagging. The reporting of infection rates of pathogens in ticks should avoid conclusions based on pure molecular findings in feeding ticks. Studies demonstrating the vectorial capacity of ticks should not be supported only by molecular surveys of feeding ticks. Vacuous conclusions about vectorial or reservoir status based solely on the finding of genomic material of a pathogen should be discouraged. We stress that phylogenetic studies based on random selection of sequences from GenBank are unsuitable. We firmly support the development of a dedicated server of curated sequences of ticks and pathogens as a standard for future studies.
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Affiliation(s)
- Agustín Estrada-Peña
- Department of Animal Health. Faculty of Veterinary Medicine. University of Zaragoza, 50013 Zaragoza, Spain
- Research Group in Emerging Zoonoses, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), 50013 Zaragoza, Spain;
- Correspondence:
| | - Aitor Cevidanes
- Department of Animal Health, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia P812, 48160 Derio, Spain;
| | - Hein Sprong
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Mailbox 63, Room V353, Antonie van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA Bilthoven, The Netherlands;
| | - Javier Millán
- Research Group in Emerging Zoonoses, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), 50013 Zaragoza, Spain;
- Fundación ARAID, 50018 Zaragoza, Spain
- Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago 8370146, Chile
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73
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Giusti A, Ricci E, Gasperetti L, Galgani M, Polidori L, Verdigi F, Narducci R, Armani A. Building of an Internal Transcribed Spacer (ITS) Gene Dataset to Support the Italian Health Service in Mushroom Identification. Foods 2021; 10:foods10061193. [PMID: 34070525 PMCID: PMC8227961 DOI: 10.3390/foods10061193] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 01/26/2023] Open
Abstract
This study aims at building an ITS gene dataset to support the Italian Health Service in mushroom identification. The target species were selected among those mostly involved in regional (Tuscany) poisoning cases. For each target species, all the ITS sequences already deposited in GenBank and BOLD databases were retrieved and accurately assessed for quality and reliability by a systematic filtering process. Wild specimens of target species were also collected to produce reference ITS sequences. These were used partly to set up and partly to validate the dataset by BLAST analysis. Overall, 7270 sequences were found in the two databases. After filtering, 1293 sequences (17.8%) were discarded, with a final retrieval of 5977 sequences. Ninety-seven ITS reference sequences were obtained from 76 collected mushroom specimens: 15 of them, obtained from 10 species with no sequences available after the filtering, were used to build the dataset, with a final taxonomic coverage of 96.7%. The other 82 sequences (66 species) were used for the dataset validation. In most of the cases (n = 71; 86.6%) they matched with identity values ≥ 97–100% with the corresponding species. The dataset was able to identify the species involved in regional poisoning incidents. As some of these species are also involved in poisonings at the national level, the dataset may be used for supporting the National Health Service throughout the Italian territory. Moreover, it can support the official control activities aimed at detecting frauds in commercial mushroom-based products and safeguarding consumers.
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Affiliation(s)
- Alice Giusti
- FishLab, Department of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56124 Pisa, Italy; (M.G.); (A.A.)
- Correspondence: ; Tel.: +39-0502210204
| | - Enrica Ricci
- Experimental Zooprophylactic Institute of Lazio and Tuscany M. Aleandri, UOT Toscana Nord, SS Abetone e Brennero 4, 56124 Pisa, Italy; (E.R.); (L.G.)
| | - Laura Gasperetti
- Experimental Zooprophylactic Institute of Lazio and Tuscany M. Aleandri, UOT Toscana Nord, SS Abetone e Brennero 4, 56124 Pisa, Italy; (E.R.); (L.G.)
| | - Marta Galgani
- FishLab, Department of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56124 Pisa, Italy; (M.G.); (A.A.)
| | - Luca Polidori
- Tuscany Mycological Groups Association, via Turi, 8 Santa Croce sull’Arno, 56124 Pisa, Italy; (L.P.); (R.N.)
| | - Francesco Verdigi
- North West Tuscany LHA (Mycological Inspectorate), via A. Cocchi, 7/9, 56124 Pisa, Italy;
| | - Roberto Narducci
- Tuscany Mycological Groups Association, via Turi, 8 Santa Croce sull’Arno, 56124 Pisa, Italy; (L.P.); (R.N.)
| | - Andrea Armani
- FishLab, Department of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56124 Pisa, Italy; (M.G.); (A.A.)
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74
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Appleyard SA, Maher S, Pogonoski JJ, Bent SJ, Chua XY, McGrath A. Assessing DNA for fish identifications from reference collections: the good, bad and ugly shed light on formalin fixation and sequencing approaches. JOURNAL OF FISH BIOLOGY 2021; 98:1421-1432. [PMID: 33484178 DOI: 10.1111/jfb.14687] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/12/2021] [Accepted: 01/19/2021] [Indexed: 06/12/2023]
Abstract
Natural history collections are repositories of biodiversity and are potentially used by molecular ecologists for comparative taxonomic, phylogenetic, biogeographic and forensic purposes. Specimens in fish collections are preserved using a combination of methods with many fixed in formalin and then preserved in ethanol for long-term storage. Formalin fixation damages DNA, thereby limiting genetic analyses. In this study, the authors compared the DNA barcoding and identification success for frozen and formalin-fixed tissues obtained from specimens in the CSIRO Australian National Fish Collection. They studied 230 samples from fishes (consisting of >160 fish species). An optimized formalin-fixed, paraffin-embedded DNA extraction method resulted in usable DNA from degraded tissues. Four mini barcoding assays of the mitochondrial DNA (mtDNA) were characterized with Sanger and Illumina amplicon sequencing. In the good quality DNA (without exposure to formalin), up to 88% of the specimens were correctly matched at the species level using the cytochrome oxidase subunit 1 (COI) mini barcodes, whereas up to 58% of the specimens exposed to formalin for less than 8 weeks were correctly identified to species. In contrast, 16S primers provided higher amplification success with formalin-exposed tissues, although the COI gene was more successful for identification. Importantly, the authors found that DNA of a certain size and quality can be amplified and sequenced despite exposure to formalin, and Illumina sequencing provided them with greater power of resolution for taxa identification even when there was little DNA present. Overall, within parameter constraints, this study highlights the possibilities of recovering DNA barcodes for identification from formalin-fixed fish specimens, and the authors provide guidelines for when successful identification could be expected.
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Affiliation(s)
- Sharon A Appleyard
- CSIRO Australian National Fish Collection, National Research Collections Australia, Hobart, Tasmania, Australia
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
| | - Safia Maher
- CSIRO Australian National Fish Collection, National Research Collections Australia, Hobart, Tasmania, Australia
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
| | - John J Pogonoski
- CSIRO Australian National Fish Collection, National Research Collections Australia, Hobart, Tasmania, Australia
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
| | - Stephen J Bent
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
- Data 61, CSIRO, Brisbane, Queensland, Australia
| | - Xin-Yi Chua
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
- Data 61, CSIRO, Brisbane, Queensland, Australia
- School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Annette McGrath
- CSIRO Environomics Future Science Platform, Canberra, Australian Capital Territory, Australia
- Data 61, CSIRO, Brisbane, Queensland, Australia
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75
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Bianchi FM, Gonçalves LT. Borrowing the Pentatomomorpha tome from the DNA barcode library: Scanning the overall performance of
cox1
as a tool. J ZOOL SYST EVOL RES 2021. [DOI: 10.1111/jzs.12476] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Filipe Michels Bianchi
- Laboratório de Entomologia Sistemática Departamento de Zoologia Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
- Programa de Pós‐Graduação em Biologia Animal Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
| | - Leonardo Tresoldi Gonçalves
- Laboratório de Drosophila Departamento de Genética Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
- Programa de Pós‐Graduação em Genética e Biologia Molecular Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
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76
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Rivera SF, Vasselon V, Mary N, Monnier O, Rimet F, Bouchez A. Exploring the capacity of aquatic biofilms to act as environmental DNA samplers: Test on macroinvertebrate communities in rivers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 763:144208. [PMID: 33385843 DOI: 10.1016/j.scitotenv.2020.144208] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 11/06/2020] [Accepted: 11/23/2020] [Indexed: 06/12/2023]
Abstract
Aquatic biofilms are heterogeneous assemblages of microorganisms surrounded by a matrix of extracellular polymeric substances (EPS). Recent studies suggest that aquatic biofilms can physically act as sorptive sponges of DNA. We took the opportunity from already available samples of stone biofilms and macroinvertebrates specimens collected in parallel at the same sites to test the capacity of biofilms to act as DNA samplers of macroinvertebrate communities in streams. Macroinvertebrate communities are usually studied with metabarcoding using the DNA extracted from their bodies bulk samples, which remains a time-consuming approach and involves the destruction of all individual specimens from the samples. The ability of biofilms to capture DNA was explored on 19 rivers sites of a tropical island (Mayotte Island, France). First, macroinvertebrate specimens were identified based on their morphological characteristics. Second, DNA was extracted from biofilms, and macroinvertebrate communities were targeted using a standard COI barcode. The resulting morphological and molecular inventories were compared. They provided comparable structures and diversities for macroinvertebrate communities when one is working with the unassigned OTU data. After taxonomic assignment of the OTU data, diversity and richness were no longer correlated. The ecological assessment derived from morphological bulk samples was conserved by the biofilms samples. We also showed that the biofilm method allows to detect a higher diversity for some organisms (Cnidaria), that is hardly accessible with the morphological method. The results of this study exploring the DNA signal captured by natural biofilms are encouraging. However, a more detailed study integrating more replicates and comparing the biodiversity signal based on both morphological and molecular bulk macroinvertebrate samples to the one captured by biofilms will be necessary. Better understanding how the DNA signal captured by natural biofilms represents the biodiversity of a given sampling site is necessary before considering its use for bioassessment applications.
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Affiliation(s)
- Sinziana F Rivera
- Université Savoie Mont-Blanc, INRAE, UMR CARRTEL, 75bis av. de Corzent, FR-74200 Thonon-les-Bains, France.
| | - Valentin Vasselon
- OFB, Pôle R&D «ECLA», Site INRAE, UMR CARRTEL, 75bis av. de Corzent, FR-74200 Thonon-les-Bains, France
| | - Nathalie Mary
- ETHYC'O, B.P. 13821, 98803 Nouméa Cedex, Nouvelle-Calédonie
| | - Olivier Monnier
- OFB, Service Mobilisation de la Recherche, 5 square Félix Nadar, FR-94300 Vincennes, France
| | - Fréderic Rimet
- Université Savoie Mont-Blanc, INRAE, UMR CARRTEL, 75bis av. de Corzent, FR-74200 Thonon-les-Bains, France
| | - Agnès Bouchez
- Université Savoie Mont-Blanc, INRAE, UMR CARRTEL, 75bis av. de Corzent, FR-74200 Thonon-les-Bains, France
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77
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An Overview of DNA-Based Applications for the Assessment of Benthic Macroinvertebrates Biodiversity in Mediterranean Aquatic Ecosystems. DIVERSITY 2021. [DOI: 10.3390/d13030112] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The loss of aquatic biodiversity is increasing at a rapid rate globally. There is a worldwide effort to protect, preserve and restore aquatic ecosystems. For efficient biodiversity monitoring and reliable management tools, comprehensive biodiversity data are required. The abundance and species diversity of benthic macroinvertebrates are commonly used as indicators of the aquatic ecosystem condition. Currently, macroinvertebrate species biodiversity assessment is based on morpho-taxonomy, which could be enhanced by recent advances in DNA-based tools for species identification. In particular, DNA metabarcoding has the potential to identify simultaneously many different taxa in a pool of species and to improve aquatic biomonitoring significantly, especially for indicator species. This review is focused on the current state of DNA-based aquatic biomonitoring using benthic macroinvertebrates in the Mediterranean region.
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78
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Wirta H, Abrego N, Miller K, Roslin T, Vesterinen E. DNA traces the origin of honey by identifying plants, bacteria and fungi. Sci Rep 2021; 11:4798. [PMID: 33637887 PMCID: PMC7910293 DOI: 10.1038/s41598-021-84174-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/03/2021] [Indexed: 01/31/2023] Open
Abstract
The regional origin of a food product commonly affects its value. To this, DNA-based identification of tissue remains could offer fine resolution. For honey, this would allow the usage of not only pollen but all plant tissue, and also that of microbes in the product, for discerning the origin. Here we examined how plant, bacterial and fungal taxa identified by DNA metabarcoding and metagenomics differentiate between honey samples from three neighbouring countries. To establish how the taxonomic contents of honey reflect the country of origin, we used joint species distribution modelling. At the lowest taxonomic level by metabarcoding, with operational taxonomic units, the country of origin explained the majority of variation in the data (70-79%), with plant and fungal gene regions providing the clearest distinction between countries. At the taxonomic level of genera, plants provided the most separation between countries with both metabarcoding and metagenomics. The DNA-based methods distinguish the countries more than the morphological pollen identification and the removal of pollen has only a minor effect on taxonomic recovery by DNA. As we find good resolution among honeys from regions with similar biota, DNA-based methods hold great promise for resolving honey origins among more different regions.
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Affiliation(s)
- Helena Wirta
- Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland.
| | - Nerea Abrego
- Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland
| | - Kirsten Miller
- Department of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, 750 07, Uppsala, Sweden
- School of Natural and Environmental Sciences, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK
| | - Tomas Roslin
- Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland
- Department of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, 750 07, Uppsala, Sweden
| | - Eero Vesterinen
- Department of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, 750 07, Uppsala, Sweden
- Department of Biology, University of Turku, Turku, Finland
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79
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Taleb M, Tail G, Açıkgöz HN. Molecular identification of the potentially forensically relevant cluster flies Pollenia rudis (Fabricius) and Pollenia vagabunda (Meigen) (Diptera: Polleniidae) — non-recorded species in Algeria. Forensic Sci Res 2021; 7:69-77. [PMID: 35368910 PMCID: PMC8967396 DOI: 10.1080/20961790.2020.1857937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Cluster flies are represented by the genus Pollenia Robineau-Desvoidy, 1830 of the family Polleniidae Brauer and Bergenstamm, 1889. Their larvae are known to be internal parasites or predators of earthworms. Herein, we report for the first time the occurrence of the cluster flies Pollenia rudis Fabricius, 1794 and Pollenia vagabunda (Meigen, 1826) (Diptera: Polleniidae) on carcasses in Algeria and identify them through DNA barcoding. A region of the mitochondrial cytochrome c oxidase I gene (COI) was amplified and sequenced. Genetic distances were determined. A phylogenetic tree was constructed with the maximum parsimony method using 10 000 bootstrap replicates. A total number of 157 adults of P. rudis were collected together with 325 adults of Pollenia vagabunda. The occurrence of Pollenia on animal carcasses does not seem to be correlated with a particular stage of decomposition. All the sequences were correctly identified using the BLASTn tool from the GenBank database and the BOLD identification engine. Intra- and interspecific sequence divergence values were less than 1% and greater than 3%, respectively. COI barcodes obtained from this study were robust enough to identify and distinguish unambiguously between P. rudis and P. vagabunda. In the tree-based analysis, the cluster flies were all assigned to their respective species separately from each other confirming the morphological identification. These results provide DNA barcodes that contribute to the growth of reference databases and allow fast and accurate identification.
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Affiliation(s)
- Meriem Taleb
- Department of Population and Organism Biology, University of Blida 1, Blida, Algeria
| | - Ghania Tail
- Department of Population and Organism Biology, University of Blida 1, Blida, Algeria
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80
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81
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Wu HY, Chan KT, But GWC, Shaw PC. Assessing the reliability of medicinal Dendrobium sequences in GenBank for botanical species identification. Sci Rep 2021; 11:3439. [PMID: 33564041 PMCID: PMC7873228 DOI: 10.1038/s41598-021-82385-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 01/19/2021] [Indexed: 12/04/2022] Open
Abstract
DNA-based method is a promising tool in species identification and is widely used in various fields. DNA barcoding method has already been included in different pharmacopoeias for identification of medicinal materials or botanicals. Accuracy and validity of DNA-based methods rely on the accuracy and taxonomic reliability of the DNA sequences in the database to be compared against. Here we evaluated the annotation quality and taxonomic reliability of selected barcode loci (rbcL, matK, psbA-trnH, trnL-trnF and ITS) of 41 medicinal Dendrobium species downloaded from GenBank. Annotations of most accessions are incomplete. Only 53.06% of the 2041 accessions downloaded contain a reference to a voucher specimen. Only 31.60% and 4.8% of the entries are annotated with country of origin and collector or assessor, respectively. Taxonomic reliability of the sequences was evaluated by a Megablast search based on similarity to sequences submitted by other research groups. A small number of sequences (211, 7.14%) was regarded as highly doubted. Moreover, 10 out of 60 complete chloroplast genomes contain highly doubted sequences. Our findings suggest that sequences of GenBank should be used with caution for species-level identification. The scientific community should provide more important information regarding identity and traceability of the sample when they deposit sequences to public databases.
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Affiliation(s)
- Hoi-Yan Wu
- Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Kwun-Tin Chan
- Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine, The Chinese University of Hong Kong, Hong Kong, China
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Grace Wing-Chiu But
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Pang-Chui Shaw
- Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine, The Chinese University of Hong Kong, Hong Kong, China.
- State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants (The Chinese University of Hong Kong) and Institute of Chinese Medicine, The Chinese University of Hong Kong, Hong Kong, China.
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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82
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Domingues RR, Bunholi IV, Pinhal D, Antunes A, Mendonça FF. From molecule to conservation: DNA-based methods to overcome frontiers in the shark and ray fin trade. CONSERV GENET RESOUR 2021. [DOI: 10.1007/s12686-021-01194-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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83
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Gonçalves LT, Bianchi FM, Deprá M, Calegaro-Marques C. Barcoding a can of worms: testing cox1 performance as a DNA barcode of Nematoda. Genome 2021; 64:705-717. [PMID: 33460338 DOI: 10.1139/gen-2020-0140] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Accurate taxonomic identifications and species delimitations are a fundamental problem in biology. The complex taxonomy of Nematoda is primarily based on morphology, which is often dubious. DNA barcoding emerged as a handy tool to identify specimens and assess diversity, but its applications in Nematoda are incipient. We evaluated cytochrome c oxidase subunit I (cox1) efficiency as a DNA barcode for nematodes scrutinising 5241 sequences retrieved from BOLD and GenBank. The samples included genera with medical, agricultural, or ecological relevance: Anguillicola, Caenorhabditis, Heterodera, Meloidogyne, Onchocerca, Strongyloides, and Trichinella. We assessed cox1 performance through barcode gap and Probability of Correct Identification (PCI) analyses, and estimated species richness through Automatic Barcode Gap Discovery (ABGD). Each genus presented distinct gap ranges, mirroring the evolutionary diversity within Nematoda. Thus, to survey the diversity of the phylum, a careful definition of thresholds for lower taxonomic levels should be considered. PCIs were around 70% for both databases, highlighting operational biases and challenges in nematode taxonomy. ABGD inferred higher richness than the taxonomic labels informed by databases. The prevalence of specimen misidentifications and dubious species delimitations emphasise the value of integrative approaches to nematode taxonomy and systematics. Overall, cox1 is a relevant tool for integrative taxonomy of nematodes.
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Affiliation(s)
- Leonardo Tresoldi Gonçalves
- Laboratório de Helmintologia, Departamento de Zoologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Filipe Michels Bianchi
- Laboratório de Entomologia Sistemática, Departamento de Zoologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Maríndia Deprá
- Laboratório de Drosophila, Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Cláudia Calegaro-Marques
- Laboratório de Helmintologia, Departamento de Zoologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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84
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Palumbo F, Squartini A, Barcaccia G, Macolino S, Pornaro C, Pindo M, Sturaro E, Ramanzin M. A multi-kingdom metabarcoding study on cattle grazing Alpine pastures discloses intra-seasonal shifts in plant selection and faecal microbiota. Sci Rep 2021; 11:889. [PMID: 33441587 PMCID: PMC7806629 DOI: 10.1038/s41598-020-79474-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 12/09/2020] [Indexed: 12/15/2022] Open
Abstract
Diet selection by grazing livestock may affect animal performance as well as the biodiversity of grazed areas. Recent DNA barcoding techniques allow to assess dietary plant composition in faecal samples, which may be additionally integrated by the description of gut microbiota. In this high throughput metabarcoding study, we investigated the diversity of plant, fungal and bacterial taxa in faecal samples of lactating cows of two breeds grazing an Alpine semi-natural grassland during summer. The estimated plant composition of the diet comprised 67 genera and 39 species, which varied remarkably during summer, suggesting a decline of the diet forage value with the advancing of the vegetative season. The fungal community included Neocallimastigomycota gut symbionts, but also Ascomycota and Basidiomycota plant parasite and coprophilous taxa, likely ingested during grazing. The proportion of ingested fungi was remarkably higher than in other studies, and varied during summer, although less than that observed for plants. Some variation related to breed was also detected. The gut bacterial taxa remained stable through the summer but displayed a breed-specific composition. The study provided insights in the reciprocal organisms' interactions affecting, and being affected by, the foraging behaviour: plants showed a high temporal variation, fungi a smaller one, while bacteria had practically none; conversely, the same kingdoms showed the opposite gradient of variation as respect to the animal host breed, as bacteria revealed to be the group mostly characterized by host-specificity.
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Affiliation(s)
- Fabio Palumbo
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
| | - Andrea Squartini
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy.
| | - Gianni Barcaccia
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
| | - Stefano Macolino
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
| | - Cristina Pornaro
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
| | - Massimo Pindo
- Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, S. Michele All'Adige, 38010, Trento, Italy
| | - Enrico Sturaro
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
| | - Maurizio Ramanzin
- Department of Agronomy Food Natural Resources Animals and Environment (DAFNAE), University of Padova, Campus of Agripolis, Viale dell'Università 16, 35020, Legnaro, Padova, Italy
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85
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Caraballo DA, Montani ME, Martínez LM, Antoniazzi LR, Sambrana TC, Fernández C, Cisterna DM, Beltrán FJ, Colombo VC. Heterogeneous taxonomic resolution of cytochrome b gene identification of bats from Argentina: Implications for field studies. PLoS One 2021; 15:e0244750. [PMID: 33382800 PMCID: PMC7775095 DOI: 10.1371/journal.pone.0244750] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/15/2020] [Indexed: 11/19/2022] Open
Abstract
Bats are among the most diverse, widespread, and abundant mammals. In Argentina, 67 species of bats have been recorded, belonging to 5 families and 29 genera. These high levels of biodiversity are likely to complicate identification at fieldwork, especially between closely related species, where external morphology-based approaches are the only immediate means for a priori species assignment. The use of molecular markers can enhance species identification, and acquires particular relevance in capture-release studies. In this study, we discuss the extent of the use of the mitochondrial cytochrome b gene for species identification, comparing external morphology identification with a molecular phylogenetic classification based on this marker, under the light of current bat systematics. We analyzed 33 samples collected in an eco-epidemiological survey in the province of Santa Fe (Argentina). We further sequenced 27 museum vouchers to test the accuracy of cytochrome b -based phylogenies in taxonomic identification of bats occurring in the Pampean/Chacoan regions of Argentina. The cytochrome b gene was successfully amplified in all Molossid and Vespertilionid species except for Eptesicus, for which we designed a new reverse primer. The resulting Bayesian phylogeny was congruent with current systematics. Cytochrome b proved useful for species-level delimitation in non-conflicting genera (Eumops, Dasypterus, Molossops) and has infrageneric resolution in more complex lineages (Eptesicus, Myotis, Molossus). We discuss four sources of incongruence that may act separately or in combination: 1) molecular processes, 2) biology, 3) limitations in identification, and 4) errors in the current taxonomy. The present study confirms the general applicability of cytochrome b -based phylogenies in eco-epidemiological studies, but its resolution and reliability depend mainly, but not solely, on the level of genetic differentiation within each bat genus.
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Affiliation(s)
- Diego A. Caraballo
- Instituto de Zoonosis Luis Pasteur, Ciudad Autónoma de Buenos Aires, Argentina
- * E-mail:
| | - María E. Montani
- Museo Provincial de Ciencias Naturales “Dr. Ángel Gallardo”, Rosario, Santa Fe, Argentina
- Programa de Investigaciones de Biodiversidad Argentina (PIDBA), Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán, San Miguel de Tucumán, Tucumán, Argentina
- Programa de Conservación de los Murciélagos de Argentina (PCMA), San Miguel de Tucumán, Tucumán, Argentina
| | - Leila M. Martínez
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) “Dr. Carlos G. Malbrán”, Ciudad Autónoma de Buenos Aires, Argentina
| | - Leandro R. Antoniazzi
- Laboratorio de Ecología de Enfermedades (LEcEn), Instituto de Ciencias Veterinarias del Litoral (ICiVet-Litoral), Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Esperanza, Santa Fe, Argentina
| | - Tomás C. Sambrana
- Departamento de Zoonosis, Laboratorio Central de Referencia, Dirección de Promoción y Prevención, Ministerio de Salud de la provincia de Santa Fe, Ciudad de Santa Fe, Santa Fe, Argentina
| | - Camilo Fernández
- Laboratorio de Ecología de Enfermedades (LEcEn), Instituto de Ciencias Veterinarias del Litoral (ICiVet-Litoral), Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Esperanza, Santa Fe, Argentina
| | - Daniel M. Cisterna
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) “Dr. Carlos G. Malbrán”, Ciudad Autónoma de Buenos Aires, Argentina
| | - Fernando J. Beltrán
- Instituto de Zoonosis Luis Pasteur, Ciudad Autónoma de Buenos Aires, Argentina
| | - Valeria C. Colombo
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) “Dr. Carlos G. Malbrán”, Ciudad Autónoma de Buenos Aires, Argentina
- Laboratorio de Ecología de Enfermedades (LEcEn), Instituto de Ciencias Veterinarias del Litoral (ICiVet-Litoral), Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Esperanza, Santa Fe, Argentina
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86
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Compson ZG, McClenaghan B, Singer GAC, Fahner NA, Hajibabaei M. Metabarcoding From Microbes to Mammals: Comprehensive Bioassessment on a Global Scale. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.581835] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Global biodiversity loss is unprecedented, and threats to existing biodiversity are growing. Given pervasive global change, a major challenge facing resource managers is a lack of scalable tools to rapidly and consistently measure Earth's biodiversity. Environmental genomic tools provide some hope in the face of this crisis, and DNA metabarcoding, in particular, is a powerful approach for biodiversity assessment at large spatial scales. However, metabarcoding studies are variable in their taxonomic, temporal, or spatial scope, investigating individual species, specific taxonomic groups, or targeted communities at local or regional scales. With the advent of modern, ultra-high throughput sequencing platforms, conducting deep sequencing metabarcoding surveys with multiple DNA markers will enhance the breadth of biodiversity coverage, enabling comprehensive, rapid bioassessment of all the organisms in a sample. Here, we report on a systematic literature review of 1,563 articles published about DNA metabarcoding and summarize how this approach is rapidly revolutionizing global bioassessment efforts. Specifically, we quantify the stakeholders using DNA metabarcoding, the dominant applications of this technology, and the taxonomic groups assessed in these studies. We show that while DNA metabarcoding has reached global coverage, few studies deliver on its promise of near-comprehensive biodiversity assessment. We then outline how DNA metabarcoding can help us move toward real-time, global bioassessment, illustrating how different stakeholders could benefit from DNA metabarcoding. Next, we address barriers to widespread adoption of DNA metabarcoding, highlighting the need for standardized sampling protocols, experts and computational resources to handle the deluge of genomic data, and standardized, open-source bioinformatic pipelines. Finally, we explore how technological and scientific advances will realize the promise of total biodiversity assessment in a sample—from microbes to mammals—and unlock the rich information genomics exposes, opening new possibilities for merging whole-system DNA metabarcoding with (1) abundance and biomass quantification, (2) advanced modeling, such as species occupancy models, to improve species detection, (3) population genetics, (4) phylogenetics, and (5) food web and functional gene analysis. While many challenges need to be addressed to facilitate widespread adoption of environmental genomic approaches, concurrent scientific and technological advances will usher in methods to supplement existing bioassessment tools reliant on morphological and abiotic data. This expanded toolbox will help ensure that the best tool is used for the job and enable exciting integrative techniques that capitalize on multiple tools. Collectively, these new approaches will aid in addressing the global biodiversity crisis we now face.
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87
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Fontes JT, Vieira PE, Ekrem T, Soares P, Costa FO. BAGS: An automated Barcode, Audit & Grade System for DNA barcode reference libraries. Mol Ecol Resour 2020; 21:573-583. [PMID: 33000878 DOI: 10.1111/1755-0998.13262] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 09/01/2020] [Accepted: 09/07/2020] [Indexed: 01/12/2023]
Abstract
Biodiversity studies greatly benefit from molecular tools, such as DNA metabarcoding, which provides an effective identification tool in biomonitoring and conservation programmes. The accuracy of species-level assignment, and consequent taxonomic coverage, relies on comprehensive DNA barcode reference libraries. The role of these libraries is to support species identification, but accidental errors in the generation of the barcodes may compromise their accuracy. Here, we present an R-based application, Barcode, Audit & Grade System (BAGS) (https://github.com/tadeu95/BAGS), that performs automated auditing and annotation of cytochrome c oxidase subunit I (COI) sequences libraries, for a given taxonomic group of animals, available in the Barcode of Life Data System (BOLD). This is followed by implementing a qualitative ranking system that assigns one of five grades (A to E) to each species in the reference library, according to the attributes of the data and congruency of species names with sequences clustered in barcode index numbers (BINs). Our goal is to allow researchers to obtain the most useful and reliable data, highlighting and segregating records according to their congruency. Different tests were performed to perceive its usefulness and limitations. BAGS fulfils a significant gap in the current landscape of DNA barcoding research tools by quickly screening reference libraries to gauge the congruence status of data and facilitate the triage of ambiguous data for posterior review. Thereby, BAGS has the potential to become a valuable addition in forthcoming DNA metabarcoding studies, in the long term contributing to globally improve the quality and reliability of the public reference libraries.
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Affiliation(s)
- João T Fontes
- Department of Biology, CBMA - Centre of Molecular and Environmental Biology, University of Minho, Braga, Portugal.,Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Minho, Portugal
| | - Pedro E Vieira
- Department of Biology, CBMA - Centre of Molecular and Environmental Biology, University of Minho, Braga, Portugal.,Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Minho, Portugal
| | - Torbjørn Ekrem
- Department of Natural History, NTNU University Museum, Trondheim, Norway
| | - Pedro Soares
- Department of Biology, CBMA - Centre of Molecular and Environmental Biology, University of Minho, Braga, Portugal.,Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Minho, Portugal
| | - Filipe O Costa
- Department of Biology, CBMA - Centre of Molecular and Environmental Biology, University of Minho, Braga, Portugal.,Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Minho, Portugal
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88
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Fawley MW, Fawley KP. Identification of Eukaryotic Microalgal Strains. JOURNAL OF APPLIED PHYCOLOGY 2020; 32:2699-2709. [PMID: 33542589 PMCID: PMC7853647 DOI: 10.1007/s10811-020-02190-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Proper identification and documentation of microalgae is often lacking in publications of applied phycology, algal physiology and biochemistry. Identification of many eukaryotic microalgae can be very daunting to the non-specialist. We present a systematic process for identifying eukaryotic microalgae using morphological evidence and DNA sequence analysis. Our intent was to provide an identification method that could be used by non-taxonomists, but which is grounded in the current techniques used by algal taxonomists. Central to the identification is database searches with DNA sequences of appropriate loci. We provide usable criteria for identification at the genus or species level, depending on the availability of sequence data in curated databases and repositories. Particular attention is paid to dealing with possible misidentifications in DNA databases and utilizing current taxonomy.
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Affiliation(s)
- Marvin W Fawley
- Division of Natural Sciences and Mathematics, University of the Ozarks, Clarksville, AR 72830, USA
| | - Karen P Fawley
- Division of Natural Sciences and Mathematics, University of the Ozarks, Clarksville, AR 72830, USA
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89
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Vega-Sánchez YM, Lorenzo-Carballa MO, Vilela DS, Guillermo-Ferreira R, Koroiva R. Comment on “Molecular identification of seven new Zygopteran genera from South China through partial cytochrome oxidase subunit I (COI) gene”. Meta Gene 2020. [DOI: 10.1016/j.mgene.2020.100759] [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] Open
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90
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Martín MP, Daniëls PP, Erickson D, Spouge JL. Figures of merit and statistics for detecting faulty species identification with DNA barcodes: A case study in Ramaria and related fungal genera. PLoS One 2020; 15:e0237507. [PMID: 32813726 PMCID: PMC7437900 DOI: 10.1371/journal.pone.0237507] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 07/28/2020] [Indexed: 11/19/2022] Open
Abstract
DNA barcoding can identify biological species and provides an important tool in diverse applications, such as conserving species and identifying pathogens, among many others. If combined with statistical tests, DNA barcoding can focus taxonomic scrutiny onto anomalous species identifications based on morphological features. Accordingly, we put nonparametric tests into a taxonomic context to answer questions about our sequence dataset of the formal fungal barcode, the nuclear ribosomal internal transcribed spacer (ITS). For example, does DNA barcoding concur with annotated species identifications significantly better if expert taxonomists produced the annotations? Does species assignment improve significantly if sequences are restricted to lengths greater than 500 bp? Both questions require a figure of merit to measure of the accuracy of species identification, typically provided by the probability of correct identification (PCI). Many articles on DNA barcoding use variants of PCI to measure the accuracy of species identification, but do not provide the variants with names, and the absence of explicit names hinders the recognition that the different variants are not comparable from study to study. We provide four variant PCIs with a name and show that for fixed data they follow systematic inequalities. Despite custom, therefore, their comparison is at a minimum problematic. Some popular PCI variants are particularly vulnerable to errors in species annotation, insensitive to improvements in a barcoding pipeline, and unable to predict identification accuracy as a database grows, making them unsuitable for many purposes. Generally, the Fractional PCI has the best properties as a figure of merit for species identification. The fungal genus Ramaria provides unusual taxonomic difficulties. As a case study, it shows that a good taxonomic background can be combined with the pertinent summary statistics of molecular results to improve the identification of doubtful samples, linking both disciplines synergistically.
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Affiliation(s)
- María P. Martín
- Department of Mycology, Real Jardín Botánico-CSIC, Madrid, Spain
| | - Pablo P. Daniëls
- Department of Botany, Ecology and Plant Physiology, Campus Rabanales, University of Córdoba, Córdoba, Spain
| | - David Erickson
- Joint Institute of Food Safety and Applied Nutrition, University of Maryland, College Park, Maryland, United States of America
| | - John L. Spouge
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, United States of America
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91
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Palecanda S, Feller KD, Porter ML. Using larval barcoding to estimate stomatopod species richness at Lizard Island, Australia for conservation monitoring. Sci Rep 2020; 10:10990. [PMID: 32620832 PMCID: PMC7335096 DOI: 10.1038/s41598-020-67696-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 06/12/2020] [Indexed: 11/08/2022] Open
Abstract
Stomatopods (Crustacea, Stomatopoda) are well studied for their aggressive behavior and unique visual system as well as their commercial importance in Asian and European countries. Like many crustaceans, stomatopods undergo indirect development, passing though several larval stages before reaching maturity. Adult stomatopods can be difficult to catch due to their inaccessible habitats and cryptic coloration. By sampling larvae from the planktonic community, less effort is required to obtain accurate measures of species richness within a region. Stomatopod larvae were collected between 2006 and 2015 from the waters around the Lizard Island reef platform in Eastern Australia. Cytochrome oxidase I (COI) mitochondrial DNA sequences were generated from each larval sample and compared to a database of COI sequences tied to adult specimens. Of the 20 species collected from Lizard Island as adults which have COI data available, 18 species were identified from larval sampling. One additional species identified from larval samples, Busquilla plantei, was previously unknown from Lizard Island. Nine larval OTUs were found not to match any published adult sequences. Sampling larval stomatopod populations provides a comparable picture of the adult population to benthic sampling methods and may include species richness beyond what is measurable by sampling adult populations.
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Affiliation(s)
- Sitara Palecanda
- Department of Biology, University of Hawai'i at Mānoa, Honolulu, HI, USA.
| | - Kathryn D Feller
- Department of Biological Sciences, University of Bristol, Bristol, UK
- Department of Biological Sciences, Union College, Schenectady, NY, USA
| | - Megan L Porter
- Department of Biology, University of Hawai'i at Mānoa, Honolulu, HI, USA
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92
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Arranz V, Pearman WS, Aguirre JD, Liggins L. MARES, a replicable pipeline and curated reference database for marine eukaryote metabarcoding. Sci Data 2020; 7:209. [PMID: 32620910 PMCID: PMC7334202 DOI: 10.1038/s41597-020-0549-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 05/27/2020] [Indexed: 11/09/2022] Open
Abstract
The use of DNA metabarcoding to characterise the biodiversity of environmental and community samples has exploded in recent years. However, taxonomic inferences from these studies are contingent on the quality and completeness of the sequence reference database used to characterise sample species-composition. In response, studies often develop custom reference databases to improve species assignment. The disadvantage of this approach is that it limits the potential for database re-use, and the transferability of inferences across studies. Here, we present the MARine Eukaryote Species (MARES) reference database for use in marine metabarcoding studies, created using a transparent and reproducible pipeline. MARES includes all COI sequences available in GenBank and BOLD for marine taxa, unified into a single taxonomy. Our pipeline facilitates the curation of sequences, synonymization of taxonomic identifiers used by different repositories, and formatting these data for use in taxonomic assignment tools. Overall, MARES provides a benchmark COI reference database for marine eukaryotes, and a standardised pipeline for (re)producing reference databases enabling integration and fair comparison of marine DNA metabarcoding results. Measurement(s) | DNA | Technology Type(s) | bioinformatics analysis | Factor Type(s) | DNA sequence | Sample Characteristic - Organism | Eukaryota | Sample Characteristic - Environment | marine environment |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12324122
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Affiliation(s)
- Vanessa Arranz
- School of Natural and Computational Sciences, Massey University Auckland, Albany, Auckland, 0745, New Zealand.
| | - William S Pearman
- School of Natural and Computational Sciences, Massey University Auckland, Albany, Auckland, 0745, New Zealand
| | - J David Aguirre
- School of Natural and Computational Sciences, Massey University Auckland, Albany, Auckland, 0745, New Zealand
| | - Libby Liggins
- School of Natural and Computational Sciences, Massey University Auckland, Albany, Auckland, 0745, New Zealand
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93
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Takashima M, Suh SO, Bai FY, Sugita T. Takashi Nakase's last tweet: what is the current direction of microbial taxonomy research? FEMS Yeast Res 2020; 19:5670643. [PMID: 31816016 DOI: 10.1093/femsyr/foz066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 12/07/2019] [Indexed: 12/14/2022] Open
Abstract
During the last few decades, type strains of most yeast species have been barcoded using the D1/D2 domain of their LSU rRNA gene and internal transcribed spacer (ITS) region. Species identification using DNA sequences regarding conspecificity in yeasts has also been studied. Most yeast species can be identified according to the sequence divergence of their ITS region or a combination of the D1/D2 and ITS regions. Studies that have examined intraspecific diversity have used multilocus sequence analyses, whereas the marker regions used in this analysis vary depending upon taxa. D1/D2 domain and ITS region sequences have been used as barcodes to develop primers suitable for the detection of the biological diversity of environmental DNA and the microbiome. Using these barcode sequences, it is possible to identify relative lineages and infer their gene products and function, and how they adapt to their environment. If barcode sequence was not variable enough to identify a described species, one could investigate the other biological traits of these yeasts, considering geological distance, environmental circumstances and isolation of reproduction. This article is dedicated to late Dr Takashi Nakase (1939-2018).
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Affiliation(s)
- Masako Takashima
- Japan Collection of Microorganisms, RIKEN BioResource Research Center, 3-1-1 Koyadai, Tsukuba 305-0074, Japan.,Department of Microbiology, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588, Japan
| | - Sung-Oui Suh
- Manufacturing Science and Technology, American Type Culture Collection (ATCC), 10801 University Blvd., Manassas, VA 20110, USA
| | - Feng-Yan Bai
- Institute of Microbiology, State Key Laboratory of Mycology, Chinese Academy of Sciences, Beijing 100101, China
| | - Takashi Sugita
- Department of Microbiology, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588, Japan
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94
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Pentinsaari M, Ratnasingham S, Miller SE, Hebert PDN. BOLD and GenBank revisited - Do identification errors arise in the lab or in the sequence libraries? PLoS One 2020; 15:e0231814. [PMID: 32298363 PMCID: PMC7162515 DOI: 10.1371/journal.pone.0231814] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 03/30/2020] [Indexed: 11/23/2022] Open
Abstract
Applications of biological knowledge, such as forensics, often require the determination of biological materials to a species level. As such, DNA-based approaches to identification, particularly DNA barcoding, are attracting increased interest. The capacity of DNA barcodes to assign newly encountered specimens to a species relies upon access to informatics platforms, such as BOLD and GenBank, which host libraries of reference sequences and support the comparison of new sequences to them. As parameterization of these libraries expands, DNA barcoding has the potential to make valuable contributions in diverse applied contexts. However, a recent publication called for caution after finding that both platforms performed poorly in identifying specimens of 17 common insect species. This study follows up on this concern by asking if the misidentifications reflected problems in the reference libraries or in the query sequences used to test them. Because this reanalysis revealed that missteps in acquiring and analyzing the query sequences were responsible for most misidentifications, a workflow is described to minimize such errors in future investigations. The present study also revealed the limitations imposed by the lack of a polished species-level taxonomy for many groups. In such cases, applications can be strengthened by mapping the geographic distributions of sequence-based species proxies rather than waiting for the maturation of formal taxonomic systems based on morphology.
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Affiliation(s)
- Mikko Pentinsaari
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | | | - Scott E. Miller
- National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America
| | - Paul D. N. Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
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95
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Schoch CL, Ciufo S, Domrachev M, Hotton CL, Kannan S, Khovanskaya R, Leipe D, Mcveigh R, O'Neill K, Robbertse B, Sharma S, Soussov V, Sullivan JP, Sun L, Turner S, Karsch-Mizrachi I. NCBI Taxonomy: a comprehensive update on curation, resources and tools. Database (Oxford) 2020; 2020:baaa062. [PMID: 32761142 PMCID: PMC7408187 DOI: 10.1093/database/baaa062] [Citation(s) in RCA: 740] [Impact Index Per Article: 185.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 04/04/2020] [Accepted: 07/10/2020] [Indexed: 12/16/2022]
Abstract
The National Center for Biotechnology Information (NCBI) Taxonomy includes organism names and classifications for every sequence in the nucleotide and protein sequence databases of the International Nucleotide Sequence Database Collaboration. Since the last review of this resource in 2012, it has undergone several improvements. Most notable is the shift from a single SQL database to a series of linked databases tied to a framework of data called NameBank. This means that relations among data elements can be adjusted in more detail, resulting in expanded annotation of synonyms, the ability to flag names with specific nomenclatural properties, enhanced tracking of publications tied to names and improved annotation of scientific authorities and types. Additionally, practices utilized by NCBI Taxonomy curators specific to major taxonomic groups are described, terms peculiar to NCBI Taxonomy are explained, external resources are acknowledged and updates to tools and other resources are documented. Database URL: https://www.ncbi.nlm.nih.gov/taxonomy.
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Affiliation(s)
- Conrad L Schoch
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Stacy Ciufo
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Mikhail Domrachev
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Carol L Hotton
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Sivakumar Kannan
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Rogneda Khovanskaya
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Detlef Leipe
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Richard Mcveigh
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Kathleen O'Neill
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Barbara Robbertse
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Shobha Sharma
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Vladimir Soussov
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - John P Sullivan
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Lu Sun
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Seán Turner
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
| | - Ilene Karsch-Mizrachi
- National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD 20892, USA
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