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DNA Metabarcoding Assays Reveal a Diverse Prey Assemblage for Rays in the Bohol Sea, Philippines

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Journal Ecol Evol
Date 2019 Mar 21
PMID 30891193
Citations 9
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Abstract

Diet studies provide base understanding of trophic structure and are a valuable initial step for many fields of marine ecology, including conservation and fisheries biology. Considerable complexity in marine trophic structure can exist due to the presence of highly mobile species with long life spans. rays are highly mobile, large, planktivorous elasmobranchs that are frequently caught either directly or as bycatch in fisheries, which, combined with their conservative life history strategy, makes their populations susceptible to decline in intensely fished regions. Effective management of these iconic and vulnerable species requires an understanding of the diets that sustain them, which can be difficult to determine using conventional sampling methods. We use three DNA metabarcode assays to identify 44 distinct taxa from the stomachs ( = 101) of four sympatric ray species (, , , and ) caught over 3 years (2013-2015) in a direct fishery off Bohol in the Philippines. The diversity and incidence of bony fishes observed in ray diets were unprecedented. Nevertheless, rays showed dietary overlap, with krill () dominating their diet. Our results provide a more detailed assessment of sympatric ray diets than was previously described and reveal the complexity that can exist in food webs at critical foraging habitats.

Citing Articles

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Secondary predation constrains DNA-based diet reconstruction in two threatened shark species.

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References
1.
Jarman S, McInnes J, Faux C, Polanowski A, Marthick J, Deagle B . Adélie penguin population diet monitoring by analysis of food DNA in scats. PLoS One. 2013; 8(12):e82227. PMC: 3864945. DOI: 10.1371/journal.pone.0082227. View

2.
Thomas A, Jarman S, Haman K, Trites A, Deagle B . Improving accuracy of DNA diet estimates using food tissue control materials and an evaluation of proxies for digestion bias. Mol Ecol. 2013; 23(15):3706-18. DOI: 10.1111/mec.12523. View

3.
Jackson M, Woodford D, Bellingan T, Weyl O, Potgieter M, Rivers-Moore N . Trophic overlap between fish and riparian spiders: potential impacts of an invasive fish on terrestrial consumers. Ecol Evol. 2016; 6(6):1745-52. PMC: 4801975. DOI: 10.1002/ece3.1893. View

4.
Pompanon F, Deagle B, Symondson W, Brown D, Jarman S, Taberlet P . Who is eating what: diet assessment using next generation sequencing. Mol Ecol. 2011; 21(8):1931-50. DOI: 10.1111/j.1365-294X.2011.05403.x. View

5.
Pochon X, Bott N, Smith K, Wood S . Evaluating detection limits of next-generation sequencing for the surveillance and monitoring of international marine pests. PLoS One. 2013; 8(9):e73935. PMC: 3762713. DOI: 10.1371/journal.pone.0073935. View