How does marker choice affect your diet analysis: comparing genetic markers and digestion levels for diet metabarcoding of tropical-reef piscivores

Devloo-Delva, Floriaan, Huerlimann, Roger, Chua, Gladys, Matley, Jordan K., Heupel, Michelle R., Simpfendorfer, Colin A., and Maes, Gregory E. (2019) How does marker choice affect your diet analysis: comparing genetic markers and digestion levels for diet metabarcoding of tropical-reef piscivores. Marine and Freshwater Research, 70 (1). MF17209. pp. 8-18.

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Abstract

Tropical reefs are highly diverse ecosystems, and reliable biomonitoring, through diet metabarcoding, is needed to understand present and future trophic relationships in this changing habitat. Several studies have assessed the reliability and effectiveness of single molecular markers; however, a cross-marker validation has rarely been performed. This study identified crucial properties for 12S rDNA, 16S rDNA and COI metabarcoding in tropical-reef piscivores (Plectropomus spp.). In addition, three new versatile primer sets for 16S were designed in silico for metabarcoding of reef fish. Results showed that COI was overall better at recovering true diversity because of a well-supported database. Second, optimal 16S amplicon sizes ranged between 160 and 440 base pairs for full diversity recovery, with increased species detection for the 270-base pairs region. Finally, blocking of predator-specific COI sequences was not equally effective in all host species, potentially introducing bias when diet compositions are directly compared. In conclusion, this novel study showed that marker success for prey identification is highly dependent on the reference database, taxonomic scope, DNA quality, amplicon length and sequencing platform. Results suggest that COI, complemented with 16S, yields the best outcome for diet metabarcoding in reef piscivores. Findings in this paper are relevant to other piscivores and other metabarcoding applications.

Item ID: 56761
Item Type: Article (Research - C1)
ISSN: 1448-6059
Keywords: amplicon length, coral trout, gut contents, marine predators, metabarcoding performance, 16S metabarcoding primers
Copyright Information: © CSIRO 2019.
Funders: National Environmental Research Program (NERP), Australian Research Council (ARC)
Projects and Grants: NERP Tropical Ecosystems Hub Project 6.1, ARC Future Fellowship FT100101004
Date Deposited: 02 Jan 2019 07:44
FoR Codes: 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310509 Genomics @ 100%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 100%
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