Gut content metabarcoding of specialized feeders is not a replacement for environmental DNA assays of seawater in reef environments.
Joseph D DiBattistaShang Yin Vanson LiuMaarten De BrauwerShaun P WilkinsonKatrina WestAdam KoziolMichael BuncePublished in: PeerJ (2023)
In tropical marine ecosystems, the coral-based diet of benthic-feeding reef fishes provides a window into the composition and health of coral reefs. In this study, for the first time, we compare multi-assay metabarcoding sequences of environmental DNA (eDNA) isolated from seawater and partially digested gut items from an obligate corallivore butterflyfish ( Chaetodon lunulatus ) resident to coral reef sites in the South China Sea. We specifically tested the proportional and statistical overlap of the different approaches (seawater vs gut content metabarcoding) in characterizing eukaryotic community composition on coral reefs. Based on 18S and ITS2 sequence data, which differed in their taxonomic sensitivity, we found that gut content detections were only partially representative of the eukaryotic communities detected in the seawater based on low levels of taxonomic overlap (3 to 21%) and significant differences between the sampling approaches. Overall, our results indicate that dietary metabarcoding of specialized feeders can be complimentary to, but is no replacement for, more comprehensive environmental DNA assays of reef environments that might include the processing of different substrates (seawater, sediment, plankton) or traditional observational surveys. These molecular assays, in tandem, might be best suited to highly productive but cryptic oceanic environments (kelp forests, seagrass meadows) that contain an abundance of organisms that are often small, epiphytic, symbiotic, or cryptic.
Keyphrases
- molecularly imprinted
- circulating tumor
- high throughput
- climate change
- single molecule
- human health
- cell free
- healthcare
- mental health
- palliative care
- life cycle
- public health
- physical activity
- risk assessment
- nucleic acid
- patient safety
- weight loss
- multidrug resistant
- machine learning
- gram negative
- high resolution
- health information
- single cell
- sewage sludge
- artificial intelligence
- data analysis
- organic matter
- liquid chromatography