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Meier R, Srivathsan A, Oliveira SS, Balbi MIP, Ang Y, Yeo D, Kjærandsen J, Amorim DDS. "Dark taxonomy": A new protocol for overcoming the taxonomic impediments for dark taxa and broadening the taxon base for biodiversity assessment. Cladistics 2025; 41:223-238. [PMID: 39956942 PMCID: PMC11891956 DOI: 10.1111/cla.12609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 01/21/2025] [Accepted: 01/21/2025] [Indexed: 02/18/2025] Open
Abstract
We are entering the sixth mass extinction with little data for "dark taxa", although they comprise most species. Much of the neglect is due to the fact that conventional taxonomic methods struggle with handling thousands of specimens belonging to hundreds of species. We thus here propose a new strategy that we call "dark taxonomy". It addresses (i) taxonomic impediments, (ii) the lack of biodiversity baselines and (iii) the low impact of revisionary research. Taxonomic impediments are reduced by carrying out revisions at small geographic scales to keep the number of specimens low. The risk of taxonomic error is reduced by delimiting species based on two types of data. We furthermore show that dark taxonomy can yield important biodiversity baseline data by using samples obtained with biomonitoring traps. Lastly, we argue that the impact of revisionary research can be improved by publishing two papers addressing different readerships. The principles of dark taxonomy are illustrated by our taxonomic treatment of Singapore's fungus gnats (Mycetophilidae) based only on Malaise trap samples. We show that a first batch of specimens (N = 1454) contains 120 species, of which 115 are new to science, thus reducing taxonomic impediments by increasing the number of described Oriental species by 25%. Species delimitation started with using DNA barcodes to estimate the number of Molecular Operational Taxonomic Units (MOTUs) before "LIT" (Large-scale Integrative Taxonomy) was used to obtain the species boundaries for the 120 species by integrating morphological and molecular data. To test the taxonomic completeness of the revision, we next analysed a second batch of 1493 specimens and found that >97% belonged to the 120 species delimited based on the first batch. Indeed, the second batch only contained 18 new and rare MOTUs, i.e. our study suggests that a single revision can simultaneously yield the names for all important species and relevant biodiversity baseline data. Overall, we believe that "dark taxonomy" can quickly ready a large unknown taxon for biomonitoring.
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Affiliation(s)
- Rudolf Meier
- Center for Integrative Biodiversity DiscoveryLeibniz Institute for Evolution and Biodiversity Science, Museum für NaturkundeInvalidenstrasse 4310115BerlinGermany
- Institute for BiologyHumboldt UniversityPhilippstraße 1310115BerlinGermany
| | - Amrita Srivathsan
- Center for Integrative Biodiversity DiscoveryLeibniz Institute for Evolution and Biodiversity Science, Museum für NaturkundeInvalidenstrasse 4310115BerlinGermany
| | - Sarah Siqueira Oliveira
- Departamento de EcologiaInstituto de Ciências Biológicas, Universidade Federal de GoiásAvenida Esperança, Campus Samambaia74.690‐900GoiâniaGoiásBrazil
| | - Maria Isabel P.A. Balbi
- Departamento de Biologia, FFCLRPUniversidade de São PauloAv. Bandeirantes 390014040‐901Ribeirão PretoBrazil
| | - Yuchen Ang
- Lee Kong Chian Natural History Museum, Faculty of ScienceNational University of Singapore2 Conservatory DriveSingapore117377Singapore
| | - Darren Yeo
- Animal and Plant Health Centre6 Perahu RoadSingapore718827Singapore
| | - Jostein Kjærandsen
- The Arctic University Museum of NorwayUiT—The Arctic University of NorwayP.O. Box 6050 LangnesNO‐9037TromsøNorway
| | - Dalton de Souza Amorim
- Departamento de EcologiaInstituto de Ciências Biológicas, Universidade Federal de GoiásAvenida Esperança, Campus Samambaia74.690‐900GoiâniaGoiásBrazil
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Marsh WA, Hall A, Barnes I, Price B. Facilitating high throughput collections-based genomics: a comparison of DNA extraction and library building methods. Sci Rep 2025; 15:6013. [PMID: 39972011 PMCID: PMC11839992 DOI: 10.1038/s41598-025-88443-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 01/28/2025] [Indexed: 02/21/2025] Open
Abstract
While DNA barcoding methods are an increasingly important tool in biological conservation, the resource requirements of constructing reference libraries frequently reduce their efficacy. One efficient way of sourcing taxonomically validated DNA for reference libraries is to use museum collections. However, DNA degradation intrinsic to historical museum specimens can, if not addressed in the wet lab, lead to low quality data generation and severely limit scientific output. Several DNA extraction and library build methods that are designed to work with degraded DNA have been developed, although the ability to implement these methods at scale and at low cost has yet to be formally addressed. Here, the performance of widely used DNA extraction and library build methods are compared using museum specimens. We find that while our selected DNA extraction methods do not significantly differ in DNA yield, the Santa Cruz Reaction (SCR) library build method is not only the most effective at retrieving degraded DNA from museum specimens but also easily implemented at high throughput for low cost. Results highlight the importance of lab protocol on data yield. An optimised "sample to sequencing" high-throughput protocol which incorporates SCR is included to allow for easy uptake by the wider scientific community.
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Affiliation(s)
- William A Marsh
- Natural History Museum, Cromwell Road, South Kensington, SW7 5BD, London, UK.
| | - Andie Hall
- Natural History Museum, Cromwell Road, South Kensington, SW7 5BD, London, UK
| | - Ian Barnes
- Natural History Museum, Cromwell Road, South Kensington, SW7 5BD, London, UK
| | - Ben Price
- Natural History Museum, Cromwell Road, South Kensington, SW7 5BD, London, UK
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Marquisseau A, Canale-Tabet K, Labarthe E, Pascal G, Klopp C, Pornon A, Escaravage N, Rudelle R, Vignal A, Ouin A, Ollivier M, Pichon M. Building a reliable 16S mini-barcode library of wild bees from Occitania, south-west of France. Biodivers Data J 2025; 13:e137540. [PMID: 39816673 PMCID: PMC11733625 DOI: 10.3897/bdj.12.e137540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Accepted: 12/12/2024] [Indexed: 01/18/2025] Open
Abstract
Background DNA barcoding and metabarcoding are now powerful tools for studying biodiversity and especially the accurate identification of large sample collections belonging to diverse taxonomic groups. Their success depends largely on the taxonomic resolution of the DNA sequences used as barcodes and on the reliability of the reference databases. For wild bees, the barcode sequences coverage is consistently growing in volume, but some incorrect species annotations need to be cared for. The COI (Cytochrome Oxydase subunit 1) gene, the most used in barcoding/metabarcoding of arthropods, suffers from primer bias and difficulties for covering all wild bee species using the classical Folmer primers. New information We present here a curated database for a 250 bp mini-barcode region of the 16S rRNA gene, suitable for low-cost metabarcoding wild bees in applications, such as eDNA analysis or for sequencing ancient or degraded DNA. Sequenced specimens were captured in Occitania (south-west of France) and morphologically identified by entomologists, with a total of 530 individuals belonging to 171 species and 19 genera. A customised workflow including distance-tree inferences and a second round of entomologist observations, when necessary, was used for the validation of 348 mini-barcodes covering 148 species. Amongst them, 93 species did not have any 16S reference barcode available before our contribution. This high-quality reference library data are freely available to the scientific community, with the aim of facilitating future large-scale characterisation of wild bee communities in a context of pollinators' decline.
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Affiliation(s)
- Anaïs Marquisseau
- Dynafor, INRAE, INP, ENSAT, 31326, Castanet Tolosan, FranceDynafor, INRAE, INP, ENSAT, 31326Castanet TolosanFrance
| | - Kamila Canale-Tabet
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, FranceGenPhySE, Université de Toulouse, INRAE, ENVT, 31326Castanet TolosanFrance
| | - Emmanuelle Labarthe
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, FranceGenPhySE, Université de Toulouse, INRAE, ENVT, 31326Castanet TolosanFrance
| | - Géraldine Pascal
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, FranceGenPhySE, Université de Toulouse, INRAE, ENVT, 31326Castanet TolosanFrance
| | - Christophe Klopp
- MIAT, INRAE, 31326, Castanet Tolosan, FranceMIAT, INRAE, 31326Castanet TolosanFrance
| | - André Pornon
- CRBE, CNRS, UPS, IRD, INP, 31077, Toulouse, FranceCRBE, CNRS, UPS, IRD, INP, 31077ToulouseFrance
| | - Nathalie Escaravage
- CRBE, CNRS, UPS, IRD, INP, 31077, Toulouse, FranceCRBE, CNRS, UPS, IRD, INP, 31077ToulouseFrance
| | - Rémi Rudelle
- Rudelide Expertise muséologie, Rieupeyroux, FranceRudelide Expertise muséologieRieupeyrouxFrance
| | - Alain Vignal
- GenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet Tolosan, FranceGenPhySE, Université de Toulouse, INRAE, ENVT, 31326Castanet TolosanFrance
| | - Annie Ouin
- Dynafor, INRAE, INP, ENSAT, 31326, Castanet Tolosan, FranceDynafor, INRAE, INP, ENSAT, 31326Castanet TolosanFrance
| | - Mélodie Ollivier
- Dynafor, INRAE, INP, ENSAT, 31326, Castanet Tolosan, FranceDynafor, INRAE, INP, ENSAT, 31326Castanet TolosanFrance
| | - Magalie Pichon
- Dynafor, INRAE, INP, ENSAT, 31326, Castanet Tolosan, FranceDynafor, INRAE, INP, ENSAT, 31326Castanet TolosanFrance
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Ferrari G, Esselens L, Hart ML, Janssens S, Kidner C, Mascarello M, Peñalba JV, Pezzini F, von Rintelen T, Sonet G, Vangestel C, Virgilio M, Hollingsworth PM. Developing the Protocol Infrastructure for DNA Sequencing Natural History Collections. Biodivers Data J 2023; 11:e102317. [PMID: 38327316 PMCID: PMC10848826 DOI: 10.3897/bdj.11.e102317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/04/2023] [Indexed: 02/09/2024] Open
Abstract
Intentionally preserved biological material in natural history collections represents a vast repository of biodiversity. Advances in laboratory and sequencing technologies have made these specimens increasingly accessible for genomic analyses, offering a window into the genetic past of species and often permitting access to information that can no longer be sampled in the wild. Due to their age, preparation and storage conditions, DNA retrieved from museum and herbarium specimens is often poor in yield, heavily fragmented and biochemically modified. This not only poses methodological challenges in recovering nucleotide sequences, but also makes such investigations susceptible to environmental and laboratory contamination. In this paper, we review the practical challenges associated with making the recovery of DNA sequence data from museum collections more routine. We first review key operational principles and issues to address, to guide the decision-making process and dialogue between researchers and curators about when and how to sample museum specimens for genomic analyses. We then outline the range of steps that can be taken to reduce the likelihood of contamination including laboratory set-ups, workflows and working practices. We finish by presenting a series of case studies, each focusing on protocol practicalities for the application of different mainstream methodologies to museum specimens including: (i) shotgun sequencing of insect mitogenomes, (ii) whole genome sequencing of insects, (iii) genome skimming to recover plant plastid genomes from herbarium specimens, (iv) target capture of multi-locus nuclear sequences from herbarium specimens, (v) RAD-sequencing of bird specimens and (vi) shotgun sequencing of ancient bovid bone samples.
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Affiliation(s)
- Giada Ferrari
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Lore Esselens
- Royal Museum for Central Africa, Tervuren, BelgiumRoyal Museum for Central AfricaTervurenBelgium
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Michelle L Hart
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Steven Janssens
- Meise Botanic Garden, Meise, BelgiumMeise Botanic GardenMeiseBelgium
- Leuven Plant Institute, Department of Biology, Leuven, BelgiumLeuven Plant Institute, Department of BiologyLeuvenBelgium
| | - Catherine Kidner
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | | | - Joshua V Peñalba
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, GermanyMuseum für Naturkunde, Leibniz Institute for Evolution and Biodiversity ScienceBerlinGermany
| | - Flávia Pezzini
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
| | - Thomas von Rintelen
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, GermanyMuseum für Naturkunde, Leibniz Institute for Evolution and Biodiversity ScienceBerlinGermany
| | - Gontran Sonet
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Carl Vangestel
- Royal Belgian Institute of Natural Sciences, Brussels, BelgiumRoyal Belgian Institute of Natural SciencesBrusselsBelgium
| | - Massimiliano Virgilio
- Royal Museum for Central Africa, Department of African Zoology, Tervuren, BelgiumRoyal Museum for Central Africa, Department of African ZoologyTervurenBelgium
| | - Peter M Hollingsworth
- Royal Botanic Garden Edinburgh, Edinburgh, United KingdomRoyal Botanic Garden EdinburghEdinburghUnited Kingdom
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