Next Article in Journal
Morphological and Molecular Characterization of Lema bilineata (Germar), a New Alien Invasive Leaf Beetle for Europe, with Notes on the Related Species Lema daturaphila Kogan & Goeden
Previous Article in Journal
From a Food Safety Prospective: The Role of Earthworms as Food and Feed in Assuring Food Security and in Valuing Food Waste
Previous Article in Special Issue
Use of Molecular Gut Content Analysis to Decipher the Range of Food Plants of the Invasive Spotted Lanternfly, Lycorma delicatula
Open AccessArticle

DNA Metabarcoding as a Tool for Disentangling Food Webs in Agroecosystems

1
Département de Biologie Animale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal
2
CIRAD, UMR CBGP, F-34398 Montpellier, France
3
CBGP, INRAE, CIRAD, IRD, Institut Agro, Université de Montpellier, F-34988 Montpellier, France
4
INRA, UMR CBGP, F-34398 Montpellier, France
5
CIRAD, UPR AIDA, Centre de recherche ISRA-IRD, Dakar, Senegal
6
AIDA, Univ Montpellier, CIRAD, F-34398 Montpellier, France
*
Author to whom correspondence should be addressed.
Insects 2020, 11(5), 294; https://doi.org/10.3390/insects11050294
Received: 24 March 2020 / Revised: 3 May 2020 / Accepted: 5 May 2020 / Published: 11 May 2020
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. View Full-Text
Keywords: conservation biological control; trophic network; intra-guild predation; arthropod diets; feces analysis; DNA sequencing; millet-based agroecosystem conservation biological control; trophic network; intra-guild predation; arthropod diets; feces analysis; DNA sequencing; millet-based agroecosystem
Show Figures

Graphical abstract

MDPI and ACS Style

Sow, A.; Haran, J.; Benoit, L.; Galan, M.; Brévault, T. DNA Metabarcoding as a Tool for Disentangling Food Webs in Agroecosystems. Insects 2020, 11, 294.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop