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Meier R, Hartop E, Pylatiuk C, Srivathsan A. Towards holistic insect monitoring: species discovery, description, identification and traits for all insects. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230120. [PMID: 38705187 DOI: 10.1098/rstb.2023.0120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 01/25/2024] [Indexed: 05/07/2024] Open
Abstract
Holistic insect monitoring needs scalable techniques to overcome taxon biases, determine species abundances, and gather functional traits for all species. This requires that we address taxonomic impediments and the paucity of data on abundance, biomass and functional traits. We here outline how these data deficiencies could be addressed at scale. The workflow starts with large-scale barcoding (megabarcoding) of all specimens from mass samples obtained at biomonitoring sites. The barcodes are then used to group the specimens into molecular operational taxonomic units that are subsequently tested/validated as species with a second data source (e.g. morphology). New species are described using barcodes, images and short diagnoses, and abundance data are collected for both new and described species. The specimen images used for species discovery then become the raw material for training artificial intelligence identification algorithms and collecting trait data such as body size, biomass and feeding modes. Additional trait data can be obtained from vouchers by using genomic tools developed by molecular ecologists. Applying this pipeline to a few samples per site will lead to greatly improved insect monitoring regardless of whether the species composition of a sample is determined with images, metabarcoding or megabarcoding. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.
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Affiliation(s)
- Rudolf Meier
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, Germany
- Institute of Biology, Humboldt University, 10115 Berlin, Germany
| | - Emily Hartop
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, Germany
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway
| | - Christian Pylatiuk
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Amrita Srivathsan
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, Germany
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Vasilita C, Feng V, Hansen AK, Hartop E, Srivathsan A, Struijk R, Meier R. Express barcoding with NextGenPCR and MinION for species-level sorting of ecological samples. Mol Ecol Resour 2024; 24:e13922. [PMID: 38240168 DOI: 10.1111/1755-0998.13922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 03/06/2024]
Abstract
The use of DNA barcoding is well established for specimen identification and large-scale biodiversity discovery, but remains underutilized for time-sensitive applications such as rapid species discovery in field stations, identifying pests, citizen science projects, and authenticating food. The main reason is that existing express barcoding workflows are either too expensive or can only be used in very well-equipped laboratories by highly-trained staff. We here show an alternative workflow combining rapid DNA extraction with HotSHOT, amplicon production with NextGenPCR thermocyclers, and sequencing with low-cost MinION sequencers. We demonstrate the power of the approach by generating 250 barcodes for 285 specimens within 6 h including specimen identification through BLAST. The workflow required only the following major equipment that easily fits onto a lab bench: Thermocycler, NextGenPCR, microplate sealer, Qubit, and MinION. Based on our results, we argue that simplified barcoding workflows for species-level sorting are now faster, more accurate, and sufficiently cost-effective to replace traditional morpho-species sorting in many projects.
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Affiliation(s)
| | - Vivian Feng
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
- Humboldt-Universität zu Berlin, Institut für Biologie, Berlin, Germany
| | - Aslak Kappel Hansen
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
| | - Emily Hartop
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
| | - Amrita Srivathsan
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
| | - Robin Struijk
- Molecular Biology Systems B.V., Goes, The Netherlands
| | - Rudolf Meier
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
- Humboldt-Universität zu Berlin, Institut für Biologie, Berlin, Germany
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Fernandes K, Bateman PW, Saunders BJ, Gibberd M, Bunce M, Bohmann K, Nevill P. Analysing the effects of distance, taxon and biomass on vertebrate detections using bulk-collected carrion fly iDNA. R Soc Open Sci 2024; 11:231286. [PMID: 38577218 PMCID: PMC10987983 DOI: 10.1098/rsos.231286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 11/23/2023] [Accepted: 02/27/2024] [Indexed: 04/06/2024]
Abstract
Invertebrate-derived DNA (iDNA) metabarcoding from carrion flies is a powerful, non-invasive tool that has value for assessing vertebrate diversity. However, unknowns exist around the factors that influence vertebrate detections, such as spatial limits to iDNA signals or if detections are influenced by taxonomic class or estimated biomass of the vertebrates of interest. Using a bulk-collection method, we captured flies from within a zoo and along transects extending 4 km away from this location. From 920 flies, we detected 28 vertebrate species. Of the 28 detected species, we identified 9 species kept at the zoo, 8 mammals and 1 bird, but no reptiles. iDNA detections were highly geographically localized, and only a few zoo animals were detected outside the zoo setting. However, due to the low number of detections in our dataset, we found no influence of the taxonomic group or the estimated biomass of animals on their detectability. Our data suggest that iDNA detections from bulk-collected carrion flies, at least in urban settings in Australia, are predominantly determined by geographic proximity to the sampling location. This study presents an important step in understanding how iDNA techniques can be used in biodiversity monitoring.
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Affiliation(s)
- Kristen Fernandes
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
- Section for Molecular Ecology and Evolution, Faculty of Health and Medical Sciences, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Food Agility CRC Ltd, Sydney, New South Wales2000, Australia
- Department of Anatomy, University of Otago, Dunedin9016, New Zealand
| | - Philip W. Bateman
- Behavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
- MBioMe - Mine Site Biomonitoring using eDNA Research Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
| | - Benjamin J. Saunders
- School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
| | - Mark Gibberd
- Food Agility CRC Ltd, Sydney, New South Wales2000, Australia
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
| | - Michael Bunce
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
- Environmental Science and Research (ESR), Porirua5022, New Zealand
| | - Kristine Bohmann
- Section for Molecular Ecology and Evolution, Faculty of Health and Medical Sciences, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Paul Nevill
- MBioMe - Mine Site Biomonitoring using eDNA Research Group, Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia6102, Australia
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Pedersen KM, von Beeren C, Oggioni A, Blüthgen N. Mammal dung-dung beetle trophic networks: an improved method based on gut-content DNA. PeerJ 2024; 12:e16627. [PMID: 38500531 PMCID: PMC10946388 DOI: 10.7717/peerj.16627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 11/16/2023] [Indexed: 03/20/2024] Open
Abstract
Background Dung beetles provide many important ecosystem services, including dung decomposition, pathogen control, soil aeration, and secondary seed dispersal. Yet, the biology of most dung beetles remains unknown. Natural diets are poorly studied, partly because previous research has focused on choice or attraction experiments using few, easily accessible dung types from zoo animals, farm animals, or humans. This way, many links within natural food webs have certainly been missed. In this work, we aimed to establish a protocol to analyze the natural diets of dung beetles using DNA gut barcoding. Methods First, the feasibility of gut-content DNA extraction and amplification of 12s rDNA from six different mammal dung types was tested in the laboratory. We then applied the method to beetles caught in pitfall traps in Ecuador and Germany by using 12s rDNA primers. For a subset of the dung beetles caught in the Ecuador sampling, we also used 16s rDNA primers to see if these would improve the number of species we could identify. We predicted the likelihood of amplifying DNA using gut fullness, DNA concentration, PCR primer, collection method, and beetle species as predictor variables in a dominance analysis. Based on the gut barcodes, we generated a dung beetle-mammal network for both field sites (Ecuador and Germany) and analyzed the levels of network specificity. Results We successfully amplified mammal DNA from dung beetle gut contents for 128 specimens, which included such prominent species as Panthera onca (jaguar) and Puma concolor (puma). The overall success rate of DNA amplification was 53%. The best predictors for amplification success were gut fullness and DNA concentration, suggesting the success rate can be increased by focusing on beetles with a full gut. The mammal dung-dung beetle networks differed from purely random network models and showed a moderate degree of network specialization (H2': Ecuador = 0.49; Germany = 0.41). Conclusion We here present a reliable method of extracting and amplifying gut-content DNA from dung beetles. Identifying mammal dung via DNA reference libraries, we created mammal dung-dung beetle trophic networks. This has benefits over previous methods because we inventoried the natural mammal dung resources of dung beetles instead of using artificial mammal baits. Our results revealed higher levels of specialization than expected and more rodent DNA than expected in Germany, suggesting that the presented method provides more detailed insights into mammal dung-dung beetle networks. In addition, the method could have applications for mammal monitoring in many ecosystems.
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Affiliation(s)
- Karen M. Pedersen
- Biology, Technical University of Darmstadt, Darmstadt, Hessen, Germany
| | | | - Arianna Oggioni
- Biology, Technical University of Darmstadt, Darmstadt, Hessen, Germany
| | - Nico Blüthgen
- Biology, Technical University of Darmstadt, Darmstadt, Hessen, Germany
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Newton JP, Nevill P, Bateman PW, Campbell MA, Allentoft ME. Spider webs capture environmental DNA from terrestrial vertebrates. iScience 2024; 27:108904. [PMID: 38533454 PMCID: PMC10964257 DOI: 10.1016/j.isci.2024.108904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/22/2023] [Accepted: 01/10/2024] [Indexed: 03/28/2024] Open
Abstract
Environmental DNA holds significant promise as a non-invasive tool for tracking terrestrial biodiversity. However, in non-homogenous terrestrial environments, the continual exploration of new substrates is crucial. Here we test the hypothesis that spider webs can act as passive biofilters, capturing eDNA from vertebrates present in the local environment. Using a metabarcoding approach, we detected vertebrate eDNA from all analyzed spider webs (N = 49). Spider webs obtained from an Australian woodland locality yielded vertebrate eDNA from 32 different species, including native mammals and birds. In contrast, webs from Perth Zoo, less than 50 km away, yielded eDNA from 61 different vertebrates and produced a highly distinct species composition, largely reflecting exotic species hosted in the zoo. We show that higher animal biomass and proximity to animal enclosures increased eDNA detection probability in the zoo. Our results indicate a tremendous potential for using spider webs as a cost-effective means to monitor terrestrial vertebrates.
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Affiliation(s)
- Joshua P. Newton
- Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
- Minesite Biodiversity Monitoring with eDNA (MBioMe) research group, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Paul Nevill
- Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
- Minesite Biodiversity Monitoring with eDNA (MBioMe) research group, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Philip W. Bateman
- Minesite Biodiversity Monitoring with eDNA (MBioMe) research group, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
- Behavioural Ecology Lab, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Matthew A. Campbell
- Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Morten E. Allentoft
- Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
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Srivathsan A, Meier R. Scalable, Cost-Effective, and Decentralized DNA Barcoding with Oxford Nanopore Sequencing. Methods Mol Biol 2024; 2744:223-238. [PMID: 38683322 DOI: 10.1007/978-1-0716-3581-0_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
DNA barcodes are useful in biodiversity research, but sequencing barcodes with dye termination methods ("Sanger sequencing") has been so time-consuming and expensive that DNA barcodes are not as widely used as they should be. Fortunately, MinION sequencers from Oxford Nanopore Technologies have recently emerged as a cost-effective and efficient alternative for barcoding. MinION barcodes are now suitable for large-scale species discovery and enable specimen identification when the target species are represented in barcode databases. With a MinION, it is possible to obtain 10,000 barcodes from a single flow cell at a cost of less than 0.10 USD per specimen. Additionally, a Flongle flow cell can be used for small projects requiring up to 300 barcodes (0.50 USD per specimen). We here describe a cost-effective laboratory workflow for obtaining tagged amplicons, preparing ONT libraries, sequencing amplicon pools, and analyzing the MinION reads with the software ONTbarcoder. This workflow has been shown to yield highly accurate barcodes that are 99.99% identical to Sanger barcodes. Overall, we propose that the use of MinION for DNA barcoding is an attractive option for all researchers in need of a cost-effective and efficient solution for large-scale species discovery and specimen identification.
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Affiliation(s)
- Amrita Srivathsan
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
| | - Rudolf Meier
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany.
- Institute for Biology, Humboldt University, Berlin, Germany.
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Rieseberg L, Warschefsky E, Burton J, Huang K, Sibbett B. Editorial 2024. Mol Ecol 2024; 33:e17239. [PMID: 38146175 DOI: 10.1111/mec.17239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Affiliation(s)
- Loren Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Emily Warschefsky
- William L. Brown Center, Missouri Botanical Garden, Saint Louis, MO, USA
| | - Jade Burton
- John Wiley & Sons, Atrium Southern Gate, Chichester, West Sussex, UK
| | - Kaichi Huang
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Benjamin Sibbett
- John Wiley & Sons, Atrium Southern Gate, Chichester, West Sussex, UK
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Gillespie RG, Bik HM, Hickerson MJ, Krehenwinkel H, Overcast I, Rominger AJ. Insights into Ecological & Evolutionary Processes via community metabarcoding. Mol Ecol 2023; 32:6083-6092. [PMID: 37999451 DOI: 10.1111/mec.17208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/05/2023] [Accepted: 11/03/2023] [Indexed: 11/25/2023]
Affiliation(s)
- Rosemary G Gillespie
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA
| | - Holly M Bik
- Department of Marine Sciences and Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
| | - Michael J Hickerson
- Graduate Center of the City University of New York, New York City, New York, USA
- Biology Department, City College of New York, New York City, New York, USA
- Division of Invertebrate Zoology, American Museum of Natural History, New York City, New York, USA
| | | | - Isaac Overcast
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
- Department of Vertebrate Zoology, Division of Invertebrate Zoology, American Museum of Natural History, New York City, New York, USA
- California Academy of Sciences, San Francisco, California, USA
| | - Andrew J Rominger
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
- School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
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Lee PS, Dong MH, Yan XL, He TY, Yu SF, Wee SL, Wilson JJ. Blowfly-derived mammal DNA as mammal diversity assessment tool: Determination of dispersal activity and flight range of tropical blowflies. Biodivers Data J 2023; 11:e108438. [PMID: 37736305 PMCID: PMC10509675 DOI: 10.3897/bdj.11.e108438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
Mammalian DNA extracted from the invertebrates, especially blowfly-derived DNA, has been suggested as a useful tool to complement traditional field methods for terrestrial mammal monitoring. However, the accuracy of the estimated location of the target mammal detected from blowfly-derived DNA is largely dependent on the knowledge of blowflies' dispersal range. Presently, published data on adult blowfly dispersal capabilities remain scarce and mostly limited to temperate and subtropical regions, with no published report on the adult blowfly dispersal range in the Tropics. We seek to determine the blowfly flight range and dispersal activity in a tropical plantation in Malaysia by mark-release-recapture of approximately 3000 wild blowflies by use of rotten fish-baited traps for nine consecutive days. Out of the 3000 marked Chrysomya spp., only 1.5% (43) were recaptured during the 9-day sampling period. The majority of the blowflies (79%) were recaptured 1 km from the release point, while 20.9% were caught about 2-3 km from the release point. One individual blowfly travelled as far as 3 km and before being recaptured, which was the maximum dispersal distance recorded in this study. This result suggests that the estimated locations of the mammals detected from blowfly-derived iDNA is likely to be within 1-2 km radius from the origin of the blowfly sampling location. However, a more accurate estimated distance between the target mammal and the blowfly sampling location requires further investigation due to various factors, such as blowfly species, wind speed and direction that may potentially affect the blowfly dispersal activities. This study contributes further understanding on the development of a blowfly-derived DNA method as a mammalian monitoring tool in the tropical forests.
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Affiliation(s)
- Ping Shin Lee
- College of Life Sciences, Anhui Normal University, Wuhu 241000, Anhui, ChinaCollege of Life Sciences, Anhui Normal UniversityWuhu 241000, AnhuiChina
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal University, Wuhu 241000, Anhui, ChinaAnhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal UniversityWuhu 241000, AnhuiChina
| | - Min Hui Dong
- College of Life Sciences, Anhui Normal University, Wuhu 241000, Anhui, ChinaCollege of Life Sciences, Anhui Normal UniversityWuhu 241000, AnhuiChina
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal University, Wuhu 241000, Anhui, ChinaAnhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal UniversityWuhu 241000, AnhuiChina
| | - Xin Lei Yan
- College of Life Sciences, Anhui Normal University, Wuhu 241000, Anhui, ChinaCollege of Life Sciences, Anhui Normal UniversityWuhu 241000, AnhuiChina
| | - Tian Yi He
- College of Life Sciences, Anhui Normal University, Wuhu 241000, Anhui, ChinaCollege of Life Sciences, Anhui Normal UniversityWuhu 241000, AnhuiChina
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal University, Wuhu 241000, Anhui, ChinaAnhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, Anhui Normal UniversityWuhu 241000, AnhuiChina
| | - Shang Fei Yu
- College of Life Sciences, Anhui Normal University, Wuhu 241000, Anhui, ChinaCollege of Life Sciences, Anhui Normal UniversityWuhu 241000, AnhuiChina
| | - Suk Ling Wee
- Centre for Insect Systematics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaCentre for Insect Systematics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia43600 Bangi, SelangorMalaysia
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia43600 Bangi, SelangorMalaysia
| | - John James Wilson
- Vertebrate Zoology at World Museum, National Museums Liverpool, William Brown Street, Liverpool, United KingdomVertebrate Zoology at World Museum, National Museums Liverpool, William Brown StreetLiverpoolUnited Kingdom
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