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Brute force prey metabarcoding to explore the diets of small invertebrates
  • Snorre Flo,
  • Anna Vader,
  • Kim Præbel
Snorre Flo
University Centre in Svalbard

Corresponding Author:[email protected]

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Anna Vader
University Centre in Svalbard
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Kim Præbel
UiT The Arctic University of Norway
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Abstract

1. 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. 2. 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. 3. After processing and curating raw data from two sequencing runs of varying depth (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. 4. 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 are impractical to dissect or unknown to science.
11 Nov 2023Submitted to Ecology and Evolution
14 Nov 2023Submission Checks Completed
14 Nov 2023Assigned to Editor
20 Nov 2023Reviewer(s) Assigned
16 Feb 20241st Revision Received
17 Feb 2024Submission Checks Completed
17 Feb 2024Assigned to Editor
17 Feb 2024Review(s) Completed, Editorial Evaluation Pending
27 Feb 2024Reviewer(s) Assigned