Abstract

Ecological monitoring contributes to the understanding of complex ecosystem functions. The diets of fish reflect the surrounding environment and habitats and may, therefore, act as useful integrating indicators of environmental status. It is, however, often difficult to visually identify items in gut contents to species level due to digestion of soft-bodied prey beyond visual recognition, but new tools rendering this possible are now becoming available. We used a molecular approach to determine the species identities of consumed diet items of an introduced generalist feeder, brown trout (Salmo trutta), in 10 Tasmanian lakes and compared the results with those obtained from visual quantification of stomach contents. We obtained 44 unique taxa (OTUs) belonging to five phyla, including seven classes, using the barcode of life approach from cytochrome oxidase I (COI). Compared with visual quantification, DNA analysis showed greater accuracy, yielding a 1.4-fold higher number of OTUs. Rarefaction curve analysis showed saturation of visually inspected taxa, while the curves from the DNA barcode did not saturate. The OTUs with the highest proportions of haplotypes were the families of terrestrial insects Formicidae, Chrysomelidae, and Torbidae and the freshwater Chironomidae. Haplotype occurrence per lake was negatively correlated with lake depth and transparency. Nearly all haplotypes were only found in one fish gut from a single lake. Our results indicate that DNA barcoding of fish diets is a useful and complementary method for discovering hidden biodiversity.

Highlights

  • Freshwater ecosystems are currently the most threatened systems in the world (Sala et al 2000)

  • Our results indicate that DNA barcoding of fish diets is a useful and complementary method for discovering hidden biodiversity

  • Ecology and Evolution published by John Wiley & Sons Ltd

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Summary

Introduction

Freshwater ecosystems are currently the most threatened systems in the world (Sala et al 2000). Classic quantitative techniques (i.e., Surber samplers or dredges) usually applied to monitor the aquatic communities provide useful information for managers. These techniques can be limited by biased sampling and incomplete identification (Maroneze et al 2011). Use of eDNA for biological monitoring has increased in recent years This technique was first described by Ogram et al (1987) who extracted microbial DNA from the sediment and, today, several papers are available describing the use of eDNA in analyses of soils, waters, and even air (e.g., Taberlet et al 2012). On the basis of our results, we discuss the potential of using prey organisms in fish gut contents as a supplementary monitoring tool to reveal hidden biodiversity

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