High-throughput sequencing platforms are increasingly being used for targeted amplicon sequencing because they enable cost-effective sequencing of large sample sets. For meaningful interpretation of targeted amplicon sequencing data and comparison between studies, it is critical that bioinformatic analyses do not introduce artefacts and rely on detailed protocols to ensure that all methods are properly performed and documented. The analysis of large sample sets and the use of predefined indexes create challenges, such as adjusting the sequencing depth across samples and taking sequencing errors or index hopping into account. However, the potential biases these factors introduce to high-throughput amplicon sequencing data sets and how they may be overcome have rarely been addressed. On the example of a nested metabarcoding analysis of 1920 carabid beetle regurgitates to assess plant feeding, we investigated: (i) the variation in sequencing depth of individually tagged samples and the effect of library preparation on the data output; (ii) the influence of sequencing errors within index regions and its consequences for demultiplexing; and (iii) the effect of index hopping. Our results demonstrate that despite library quantification, large variation in read counts and sequencing depth occurred among samples and that the sequencing error rate in bioinformatic software is essential for accurate adapter/primer trimming and demultiplexing. Moreover, setting an index hopping threshold to avoid incorrect assignment of samples is highly recommended.
DNA-based diet analysis of natural enemies is a valuable tool for unravelling the food choice of predators in agroecosystems. It enables the rapid identification of potential biocontrol agents of invertebrate pests. Here, we present a new multiplex PCR system for the identification of pest slug species in the diet of their natural enemies such as carabid beetles. It comprises three species-specific primers targeting the mitochondrial cytochrome c oxidase subunit I (COI) gene to detect DNA of the common garden slug, Arion distinctus (Stylommatophora: Arionidae), the Iberian slug, Arion lusitanicus (Stylommatophora: Arionidae) and the grey field slug Deroceras reticulatum (Stylommatophora: Agriolimacidae). We also include (super)family-specific primers for Arionidae and Limacoidea, which amplify parts of the 28S gene for ribosomal RNA (rRNA) in order to identify a wider range of slugs. The amplicons for Arionidae can be assigned to a total of seven Central European slug species of this family and the amplicons for Limacoidea to ten species. The multiplex assay showed high specificity against DNA extracts of field-collected slugs and co-occurring invertebrates. The assay also exhibited high sensitivity, which was confirmed by testing it with 223 dietary samples from field-collected carabids as potential natural enemies of slugs in agroecosystems. This methodology represents a new, cost-effective, highly sensitive and specific approach for the identification of common Central European slug species as well as for analysing trophic interactions to identify natural enemies for further biological control development. It can also be applied in any study where a rapid and reliable identification of slugs is needed.
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