Brute force prey metabarcoding to explore the diets of small invertebrates.

blocking primers prey metabarcoding sequence data species interactions

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
May 2024
Historique:
received: 13 11 2023
revised: 16 04 2024
accepted: 17 04 2024
medline: 7 5 2024
pubmed: 7 5 2024
entrez: 7 5 2024
Statut: epublish

Résumé

Prey metabarcoding has become a popular tool in molecular ecology for resolving trophic interactions at high resolution, from various sample types and animals. To date, most predator-prey studies of small-sized animals (<1 mm) have met the problem of overabundant predator DNA in dietary samples by adding blocking primers/peptide nucleic acids. These primers aim to limit the PCR amplification and detection of the predator DNA but may introduce bias to the prey composition identified by interacting with sequences that are similar to those of the predator. Here we demonstrate the use of an alternative method to explore the prey of small marine copepods using whole-body DNA extracts and deep, brute force metabarcoding of an 18S rDNA fragment. After processing and curating raw data from two sequencing runs of varying depths (0.4 and 5.4 billion raw reads), we isolated 1.3 and 52.2 million prey reads, with average depths of ~15,900 and ~120,000 prey reads per copepod individual, respectively. While data from both sequencing runs were sufficient to distinguish dietary compositions from disparate seasons, locations, and copepod species, greater sequencing depth led to better separation of clusters. As computation and sequencing are becoming ever more powerful and affordable, we expect the brute force approach to become a general standard for prey metabarcoding, as it offers a simple and affordable solution to consumers that is impractical to dissect or unknown to science.

Identifiants

pubmed: 38711484
doi: 10.1002/ece3.11369
pii: ECE311369
pmc: PMC11070772
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e11369

Informations de copyright

© 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors have no conflicts of interest to declare.

Auteurs

Snorre Flo (S)

Department of Arctic Biology The University Centre in Svalbard Longyearbyen, Svalbard Norway.
Faculty of Biosciences, Fisheries and Economics UiT The Arctic University of Norway Tromsø Norway.

Anna Vader (A)

Department of Arctic Biology The University Centre in Svalbard Longyearbyen, Svalbard Norway.

Kim Præbel (K)

The Norwegian College of Fishery Science (NFH) UiT The Arctic University of Norway Tromsø Norway.
Department of Forestry and Wildlife Management Inland Norway University of Applied Sciences Elverum Norway.

Classifications MeSH