Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment

TLDR: It is argued that high base degeneracy is necessary to decrease primer bias as confirmed by experimental results and in silico primer evaluation, and more region / ecosystem specific primers are needed before DNA metabarcoding can be used for routine bioassessment of freshwater ecosystems.

Abstract: A central challenge in the present era of biodiversity loss is to assess and manage human impacts on freshwater ecosystems Macroinvertebrates are an important group for bioassessment as many taxa show specific responses to environmental conditions However, generating accurate macroinvertebrate inventories based on larval morphology is difficult and error-prone Here, DNA metabarcoding provides new opportunities Its potential to accurately identify invertebrates in bulk samples to the species level, has been demonstrated in several case studies However, DNA based identification is often limited by primer bias, potentially leading to taxa in the sample remaining undetected Thus, the success of DNA metabarcoding as an emerging technique for bioassessment critically relies on carefully evaluating primers We used the R package PrimerMiner to obtain and process cytochrome c oxidase I (COI) sequence data for the 15 most globally relevant freshwater invertebrate groups for stream assessment Using these sequence alignments, we developed four primer combinations optimized for freshwater macrozoobenthos All primers were evaluated by sequencing ten mock community samples, each consisting of 52 freshwater invertebrate taxa Additionally, popular metabarcoding primers from the literature and the developed primers were tested in silico against the 15 relevant invertebrate groups The developed primers varied in amplification efficiency and the number of detected taxa, yet all detected more taxa than standard ‘Folmer’ barcoding primers Two new primer combinations showed more consistent amplification than a previously tested ribosomal marker (16S) and detected all 42 insect taxa present in the mock community samples In silico evaluation revealed critical design flaws in some commonly used primers from the literature We demonstrate a reliable strategy to develop optimized primers using the tool PrimerMiner The developed primers detected almost all taxa present in the mock samples, and we argue that high base degeneracy is necessary to decrease primer bias as confirmed by experimental results and in silico primer evaluation We further demonstrate that some primers currently used in metabarcoding studies may not be suitable for amplification of freshwater macroinvertebrates Therefore, careful primer evaluation and more region / ecosystem specific primers are needed before DNA metabarcoding can be used for routine bioassessment of freshwater ecosystems