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Berteloot OH, Peusens G, Beliën T, De Clercq P, Van Leeuwen T. Unveiling the diet of two generalist stink bugs, Halyomorpha halys and Pentatoma rufipes (Hemiptera: Pentatomidae), through metabarcoding of the ITS2 region from gut content. PEST MANAGEMENT SCIENCE 2024. [PMID: 39011841 DOI: 10.1002/ps.8287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/13/2024] [Accepted: 06/21/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND The use of DNA metabarcoding has become an increasingly popular technique to infer feeding relationships in polyphagous herbivores and predators. Understanding host plant preference of native and invasive herbivore insects can be helpful in establishing effective integrated pest management (IPM) strategies. The invasive Halyomorpha halys and native Pentatoma rufipes are piercing-sucking stink bug pests that are known to cause economic damage in commercial fruit orchards. RESULTS In this study, we performed molecular gut content analysis (MGCA) on field-collected specimens of these two herbivorous pentatomids using next-generation amplicon sequencing (NGAS) of the internal transcribed spacer 2 (ITS2) barcode region. Additionally, a laboratory experiment was set up where H. halys was switched from a mixed diet to a monotypic diet, allowing us to determine the detectability of the initial diet in a time series of ≤3 days after the diet switch. We detected 68 unique plant species from 54 genera in the diet of two stink bug species, with fewer genera found per sample and a smaller diet breadth for P. rufipes than for H. halys. Both stink bug species generally prefer deciduous trees over gymnosperms and herbaceous plants. Landscape type significantly impacted the observed genera in the diet of both stink bug species, whereas season only had a significant effect on the diet of H. halys. CONCLUSION This study provides further insights into the dietary composition of two polyphagous pentatomid pests and illustrates that metabarcoding can deliver a relevant species-level resolution of host plant preference. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Olivier Hendrik Berteloot
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University (UGent), Ghent, Belgium
| | - Gertie Peusens
- Zoology Department, Research Centre for Fruit Cultivation (PCFruit), Sint-Truiden, Belgium
| | - Tim Beliën
- Zoology Department, Research Centre for Fruit Cultivation (PCFruit), Sint-Truiden, Belgium
| | - Patrick De Clercq
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University (UGent), Ghent, Belgium
| | - Thomas Van Leeuwen
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University (UGent), Ghent, Belgium
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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 PMCID: PMC11070263 DOI: 10.1098/rstb.2023.0120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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3
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Neidel V, Traugott M. Laboratory protocol is important to improve the correlation between target copies and metabarcoding read numbers of seed DNA in ground beetle regurgitates. Sci Rep 2023; 13:1995. [PMID: 36737468 PMCID: PMC9898267 DOI: 10.1038/s41598-023-29019-8] [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: 07/14/2022] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
DNA metabarcoding is increasingly important for studying feeding interactions, yet it remains unresolved whether reporting read counts or occurrences is to be preferred. To address this issue for gut content samples, basic experimental data on the relationship between read numbers and initial prey DNA amounts and how both change over digestion time is needed. Using regurgitates of the carabid Pseudoophonus rufipes the digestion of Taraxacum officinale seeds was documented for 128 h post-feeding to determine how the number of (1) seed DNA copies and (2) metabarcoding reads change over digestion time, and (3) how they correlate to each other. Additionally, we tested (4) whether PCR cycle-numbers during library preparation affect this correlation. The number of copies and reads both decreased with digestion time, but variation between samples was high. Read and copy numbers correlated when using a library preparation protocol with 35 cycles (R2 = 42.0%), yet a reduction to 30 cycles might significantly improve this correlation, as indicated by additional PCR testing. Our findings show that protocol optimization is important to reduce technical distortions of read numbers in metabarcoding analysis. However, high inter-sample variation, likely due to variable digestive efficiency of individual consumers, can blur the relationship between the amount of food consumed and metabarcoding read numbers.
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Affiliation(s)
- Veronika Neidel
- Applied Animal Ecology Research Unit, Department of Zoology, University of Innsbruck, Technikerstraße 25, 6020, Innsbruck, Austria.
| | - Michael Traugott
- Applied Animal Ecology Research Unit, Department of Zoology, University of Innsbruck, Technikerstraße 25, 6020, Innsbruck, Austria
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Barros AP, de Carvalho Silva A, de Souza Abboud AC, Ricalde MP, Ataide JO. Effect of Cosmos, Crotalaria, Foeniculum, and Canavalia species, single-cropped or mixes, on the community of predatory arthropods. Sci Rep 2022; 12:16013. [PMID: 36163453 PMCID: PMC9512904 DOI: 10.1038/s41598-022-20188-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 09/09/2022] [Indexed: 12/03/2022] Open
Abstract
Some plants can attract natural enemy by offering resources such as alternative food and refuge. However, studies need to be conducted before agricultural landscape diversification is implement. Our objective was to determine the best floristic compositions of cosmos (Cosmos sulphureus—Asteraceae), showy rattlepod (Crotalaria spectabilis—Fabaceae), fennel (Foeniculum vulgare—Apiaceae), and jack bean (Canavalia ensiformis—Fabaceae) to attract and maintain predatory arthropods, and know the potential of these treatments for future use in diversifying agricultural systems. The experimental design consisted in seven treatments of four species in single-crop, intercrops in three densities called mix1, mix2, and mix3, and the control (weeds). For the arthropod families classified as very frequent and constant, population dynamics in intercropping treatments was plotted according to the plant phenology. We conclude that all plants cultivated in single-cropping and intercropping treatments showed high predator richness and can potentially be used to diversify cultivated areas. Sulfur cosmos as a single crop and three mixes attracts higher numbers and greater family richness. Spider families—Oxyopidae, Araneidae and Thomisidae—and insects—Chrysopidae and Coccinellidae are more frequents. The dynamics of the predator populations varied according to the mixes treatment.
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Affiliation(s)
- Adamastor Pereira Barros
- Plant Science Department, Federal Rural University of Rio de Janeiro (UFRRJ), BR 465 km 47, Seropédica, RJ, 23851-970, Brazil.
| | - Alessandra de Carvalho Silva
- Embrapa Agrobiology, Brazilian Agricultural Research Corporation (Embrapa), BR 465, km 47, Seropédica, RJ, 23891-000, Brazil
| | - Antonio Carlos de Souza Abboud
- Plant Science Department, Federal Rural University of Rio de Janeiro (UFRRJ), BR 465 km 47, Seropédica, RJ, 23851-970, Brazil
| | - Marcelo Perrone Ricalde
- Embrapa Agrobiology, Brazilian Agricultural Research Corporation (Embrapa), BR 465, km 47, Seropédica, RJ, 23891-000, Brazil
| | - Julielson Oliveira Ataide
- Plant Science Department, Federal University of Espírito Santo (UFES), Guararema Alegre, Espírito Santo, 29500-000, Brazil
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van Klink R, August T, Bas Y, Bodesheim P, Bonn A, Fossøy F, Høye TT, Jongejans E, Menz MHM, Miraldo A, Roslin T, Roy HE, Ruczyński I, Schigel D, Schäffler L, Sheard JK, Svenningsen C, Tschan GF, Wäldchen J, Zizka VMA, Åström J, Bowler DE. Emerging technologies revolutionise insect ecology and monitoring. Trends Ecol Evol 2022; 37:872-885. [PMID: 35811172 DOI: 10.1016/j.tree.2022.06.001] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/26/2022] [Accepted: 06/07/2022] [Indexed: 12/30/2022]
Abstract
Insects are the most diverse group of animals on Earth, but their small size and high diversity have always made them challenging to study. Recent technological advances have the potential to revolutionise insect ecology and monitoring. We describe the state of the art of four technologies (computer vision, acoustic monitoring, radar, and molecular methods), and assess their advantages, current limitations, and future potential. We discuss how these technologies can adhere to modern standards of data curation and transparency, their implications for citizen science, and their potential for integration among different monitoring programmes and technologies. We argue that they provide unprecedented possibilities for insect ecology and monitoring, but it will be important to foster international standards via collaboration.
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Affiliation(s)
- Roel van Klink
- German Centre for Integrative Biodiversity Research (iDiv) Halle Jena Leipzig, Puschstrasse 4, 04103, Leipzig, Germany; Martin Luther University-Halle Wittenberg, Department of Computer Science, 06099, Halle (Saale), Germany.
| | - Tom August
- UK Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK
| | - Yves Bas
- Centre d'Écologie et des Sciences de la Conservation, Muséum National d'Histoire Naturelle, Paris, France; CEFE, Université Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Paul Bodesheim
- Friedrich Schiller University Jena, Computer Vision Group, Ernst-Abbe-Platz 2, 07743, Jena, Germany
| | - Aletta Bonn
- German Centre for Integrative Biodiversity Research (iDiv) Halle Jena Leipzig, Puschstrasse 4, 04103, Leipzig, Germany; Helmholtz - Centre for Environmental Research - UFZ, Permoserstrasse 15, 04318, Leipzig, Germany; Friedrich Schiller University Jena, Institute of Biodiversity, Dornburger Strasse 159, 07743, Jena, Germany
| | - Frode Fossøy
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, 7485, Trondheim, Norway
| | - Toke T Høye
- Aarhus University, Department of Ecoscience and Arctic Research Centre, C.F. Møllers Allé 8, 8000, Aarhus, Denmark
| | - Eelke Jongejans
- Radboud University, Animal Ecology and Physiology, Heyendaalseweg 135, 6525, AJ, Nijmegen, The Netherlands; Netherlands Institute of Ecology, Animal Ecology, Droevendaalsesteeg 10, 6708 PB, Wageningen, The Netherlands
| | - Myles H M Menz
- Max Planck Institute for Animal Behaviour, Department of Migration, Am Obstberg 1, 78315, Radolfzell, Germany; College of Science and Engineering, James Cook University, Townsville, Qld, Australia
| | - Andreia Miraldo
- Swedish Museum of Natural Sciences, Department of Bioinformatics and Genetics, Frescativägen 40, 114 18, Stockholm, Sweden
| | - Tomas Roslin
- Swedish University of Agricultural Sciences (SLU), Department of Ecology, Ulls väg 18B, 75651, Uppsala, Sweden
| | - Helen E Roy
- UK Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK
| | - Ireneusz Ruczyński
- Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Dmitry Schigel
- Global Biodiversity Information Facility (GBIF), Universitetsparken 15, 2100, Copenhagen, Denmark
| | - Livia Schäffler
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig Bonn, Adenauerallee 127, 53113, Bonn, Germany
| | - Julie K Sheard
- German Centre for Integrative Biodiversity Research (iDiv) Halle Jena Leipzig, Puschstrasse 4, 04103, Leipzig, Germany; Helmholtz - Centre for Environmental Research - UFZ, Permoserstrasse 15, 04318, Leipzig, Germany; Friedrich Schiller University Jena, Institute of Biodiversity, Dornburger Strasse 159, 07743, Jena, Germany; University of Copenhagen, Centre for Macroecology, Evolution and Climate, Globe Institute, Universitetsparken 15, bld. 3, 2100, Copenhagen, Denmark
| | - Cecilie Svenningsen
- University of Copenhagen, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Georg F Tschan
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig Bonn, Adenauerallee 127, 53113, Bonn, Germany
| | - Jana Wäldchen
- German Centre for Integrative Biodiversity Research (iDiv) Halle Jena Leipzig, Puschstrasse 4, 04103, Leipzig, Germany; Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Hans-Knoell-Str. 10, 07745, Jena, Germany
| | - Vera M A Zizka
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig Bonn, Adenauerallee 127, 53113, Bonn, Germany
| | - Jens Åström
- Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, 7485, Trondheim, Norway
| | - Diana E Bowler
- German Centre for Integrative Biodiversity Research (iDiv) Halle Jena Leipzig, Puschstrasse 4, 04103, Leipzig, Germany; UK Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK; Helmholtz - Centre for Environmental Research - UFZ, Permoserstrasse 15, 04318, Leipzig, Germany; Friedrich Schiller University Jena, Institute of Biodiversity, Dornburger Strasse 159, 07743, Jena, Germany
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Schmidt JM, Acebes-Doria A, Blaauw B, Kheirodin A, Pandey S, Lennon K, Kaldor AD, Toledo PFS, Grabarczyk EE. Identifying Molecular-Based Trophic Interactions as a Resource for Advanced Integrated Pest Management. INSECTS 2021; 12:insects12040358. [PMID: 33923556 PMCID: PMC8073380 DOI: 10.3390/insects12040358] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/12/2021] [Accepted: 04/13/2021] [Indexed: 11/16/2022]
Abstract
Simple Summary With increasing human populations and the need for ecosystem services to work in synergy with the production of specialty crops, the maintenance of biodiversity is becoming increasingly important. The aims of this study were to review the current literature employing molecular analysis to reveal the roles of species in providing biological control in agricultural systems. Decrypting the trophic networks between biological control agents and agricultural pests is essential to build eco-friendly strategies that promote the natural management of pests before any mediations, such as chemical control strategies, are required. It was found, during the review process, that our understanding of biological control communities is lacking in many agricultural systems, including common fruit and vegetable production, both in terms of what species are doing for crop production, and how various environmental challenges (i.e., land-use and habitat management concepts, such as wildflower borders) influence species interactions and the delivery of biological control services. New techniques harvesting the power of DNA to reveal species’ roles in specialty crops are an avenue forward to help integrate natural pest management into our standard operating procedures. Abstract Biodiversity is an essential attribute of sustainable agroecosystems. Diverse arthropod communities deliver multiple ecosystem services, such as biological control, which are the core of integrated pest management programs. The molecular analysis of arthropod diets has emerged as a new tool to monitor and help predict the outcomes of management on the functioning of arthropod communities. Here, we briefly review the recent molecular analysis of predators and parasitoids in agricultural environments. We focus on the developments of molecular gut content analysis (MGCA) implemented to unravel the function of community members, and their roles in biological control. We examine the agricultural systems in which this tool has been applied, and at what ecological scales. Additionally, we review the use of MGCA to uncover vertebrate roles in pest management, which commonly receives less attention. Applying MGCA to understand agricultural food webs is likely to provide an indicator of how management strategies either improve food web properties (i.e., enhanced biological control), or adversely impact them.
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Affiliation(s)
- Jason M. Schmidt
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
- Correspondence:
| | - Angelita Acebes-Doria
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
| | - Brett Blaauw
- Department of Entomology, Athens Campus, University of Georgia, Athens, GA 30602, USA; (B.B.); (A.D.K.)
| | - Arash Kheirodin
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
| | - Swikriti Pandey
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
| | - Kylie Lennon
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
| | - Amos D. Kaldor
- Department of Entomology, Athens Campus, University of Georgia, Athens, GA 30602, USA; (B.B.); (A.D.K.)
| | - Pedro F. S. Toledo
- Department of Entomology, Tifton Campus, University of Georgia, Tifton, GA 31794, USA; (A.A.-D.); (A.K.); (S.P.); (K.L.); (P.F.S.T.)
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