ArticleInsects2020
DNA Metabarcoding as a Tool for Disentangling Food Webs in Agroecosystems.
Article in Insects, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 44 citations in OpenAlex.
- Dietary DNA Metabarcoding From Animal Fecal Samples.Current protocols · 2026Article
- Characterization of the OmnivorousEcology and evolution · 2026Article
- Evaluation of Oxford Nanopore Technologies MinION Sequencer as a Novel Short Amplicon Metabarcoding Tool Using Arthropod Mock Sample and Irish Bat Diet Characterisation.Ecology and evolution · 2025Article
- DNA metabarcoding of spider egg sacs uncovers novel insights into host parasitoid complexes and trophic networks.Scientific reports · 2025Article
- Seasonal changes in invertebrate diet of breeding black-necked cranes (Ecology and evolution · 2024Article
- All-you-can-eat buffet: A spider-specialized bat species (Myotis emarginatus) turns into a pest fly eater around cattle.PloS one · 2024Article
- Article
- Contaminants reach everywhere: Fish dietary samples should be surface decontaminated prior to molecular diet analysis.Ecology and evolution · 2023Article
- Molecular assays to reliably detect and quantify predation on a forest pest in bats faeces.Scientific reports · 2022Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Better knowledge of food webs and related ecological processes is fundamental to understanding the functional role of biodiversity in ecosystems. This is particularly true for pest regulation by natural enemies in agroecosystems. However, it is generally difficult to decipher the impact of predators, as they often leave no direct evidence of their activity. Metabarcoding via high-throughput sequencing (HTS) offers new opportunities for unraveling trophic linkages between generalist predators and their prey, and ultimately identifying key ecological drivers of natural pest regulation. Here, this approach proved effective in deciphering the diet composition of key predatory arthropods (nine species.; 27 prey taxa), insectivorous birds (one species, 13 prey taxa) and bats (one species; 103 prey taxa) sampled in a millet-based agroecosystem in Senegal. Such information makes it possible to identify the diet breadth and preferences of predators (e.g., mainly moths for bats), to design a qualitative trophic network, and to identify patterns of intraguild predation across arthropod predators, insectivorous vertebrates and parasitoids. Appropriateness and limitations of the proposed molecular-based approach for assessing the diet of crop pest predators and trophic linkages are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.