Predator-prey interactions, which constitute the majority of trophic interactions and food web dynamics, are key aspects to characterize the fluxes of matter and energy throughout food webs within and between ecosystems, which is one of the major goals of ecology1. The determination of the source and flow of carbon and nutrients is furthering the understanding of ecological connectivity between ecosystems2. However, ecosystems, such as rivers and their catchments, are not only linked by fluxes of organic matter and nutrients but also by the movements of organisms3. Thus, habitat alterations interrupting the flow of resources that link those systems can strongly alter the food webs of both ecosystems, not only directly but also indirectly by changing the respective composition of predator-prey communities. For instance, changes of food webs have been shown to be linked to the movements of single predator species (e.g., rainbow trout)4. Such changes potentially threaten biodiversity and the functioning of aquatic ecosystems. Therefore, analyzing predator-prey interactions in the field is essential to determine the impact of human-induced environmental changes, such as water management practices, on the native biodiversity of aquatic ecosystems.
Since tracking trophic linkages is difficult in complex systems, several approaches have been established that enable the assessment of feeding interactions in the field5. Traditionally, investigations of feeding interactions in the field are based on visual identification of prey remains in dissected guts and require an extensive knowledge about morphologic prey diversity. Visual gut content analyses have provided insights in resource use of several groups of consumers (e.g., seasonal variation in diet of lobster6 and fish7,8 or feeding preferences of copepods). However, the physical process of digestion makes visual gut content analyses difficult and usually misses soft bodied prey-organisms9. For species feeding by liquid ingestion or for some invertebrate consumers that intensively comminute their food before ingestion, like amphipods, visual identification of prey species in gut contents is impossible10. Due to these limitations, molecular analysis provides a promising alternative.
Molecular analyses have now become a common tool allowing rapid and precise prey detection in gut contents. The range of such techniques is diverse: strategies based on monoclonal antibodies or polymerase chain reactions (PCR) are often used, because of their high specificity and sensitivity11. The development of new monoclonal antibodies is time- and cost-intensive, therefore, the application of other molecular techniques is more useful when antibodies do not already exist11. Another common approach is the amplification of regions of deoxyribonucleic acid (DNA), like ribosomal ribonucleic acid (RNA) genes present in most species, using universal primer sets12,13. When using this technique, it is often not possible to identify the whole range of prey organisms within mixed sources of DNA14. An effective approach to avoid such a drawback is to use group-specific primer sets for genetic gut content analyses. Designed to amplify only DNA regions of particular target groups and exclude all other species15,16, group-specific primers enable identification of prey organisms on the taxonomic level of the specified groups without time- and cost-intensive secondary analyses. However, like all gut content analysis, such analyses provide only a snapshot of feeding behavior. Therefore, combining molecular gut content analyses with analyses of time-integrating natural tracers (e.g., stable isotopes) is considered beneficial1,2.
Here, we describe a detailed method for PCR-based investigations of predator-prey interactions using group-specific primer sets for nuclear ribosomal DNA (rDNA) regions to be combined with stable isotope analyses of the same specimen. We describe the detection of the DNA of single prey groups via agarose gel electrophoresis. Additionally, we present an opportunity for further downstream analyses of PCR products of such group-specific primers applicable whenever a higher taxonomic resolution than the primers' specificity is required. Because single stranded DNA (ssDNA) fragments form tertiary conformations that are determined by their primary sequence17, small variations in fragments amplified by such group-specific primers lead to conformational changes. Such changes can be detected by single strand conformation polymorphism (SSCP) analyses with polyacrylamide gels17,18, enabling a more precise identification of prey organisms (down to the species level).
While agarose gel electrophoresis is a common and inexpensive tool to visualize DNA fragments and determine their approximate length19, the resolution depends on the amount of DNA and the staining dye used20. Usually, the visualization is straight forward when working with pure DNA samples, but potentially low amounts of prey DNA in the gut contents of consumers can complicate the scoring of agarose gel electrophoresis results. Still, this detection method is feasible to screen a low number of consumer specimens from the field for one or a few prey groups, but complication in the scoring makes the screening of a high number of samples for multiple prey taxa extremely time intensive and thus impracticable. A more sensitive detection method is the automated analysis of fragments via capillary electrophoresis, which additionally allows the determination of the exact length of fragments21. Several microsatellite based studies have shown that by using different fluorescent dyes as labels, it is possible to detect and determine different fragments of comparable length by automated fragment analysis22,23,24. Therefore, we also present a detailed protocol for parallel detection of DNA from multiple prey groups using PCR with labeled group-specific primer sets and detection via automated fragment analysis with an automated sequencer. Additionally, we present results from a case study demonstrating that the detection of prey DNA via automated fragment analysis is an approach which also enables a relative quantification of ingested prey.