Refining zooplankton diet composition studies over short- and long-time
scales by combining 18S metabarcoding with fatty acid analyses
Abstract
Understanding diet composition is essential for unravelling trophic
interactions in aquatic ecosystems. DNA metabarcoding, utilizing various
variable regions of the 18S rRNA gene, is increasingly employed to
investigate zooplankton diet composition. However, accurate results
depend on rapid inactivation of digestive enzymes and DNA nucleases
through proper sample processing and preservation. In this study, we
compare the prey communities of Antarctic krill retrieved from the 18S
variable regions V4 and V7, and assess how different processing
treatments affect the detected prey composition of both krill and salps.
Our findings highlight the critical importance of prompt sample
processing for species with highly efficient digestive enzymes, such as
krill, to preserve rapidly digested prey, including gelatinous plankton.
Comparative analyses of the V4 and V7 regions revealed significantly
different prey communities within the same krill samples, indicating
that these regions may not be suitable for direct comparisons within or
across studies. To complement molecular approaches, we also analyse
fatty acids (FA) as trophic markers which provide insights into dietary
habits over both short- and long-time scales. By comparing FA signals
from stomach and tissue samples of the same krill and salp individuals,
we identified significant differences in trophic markers representing
different plankton groups. These findings emphasize the necessity of
separating digestive tract from tissue to distinguish between short- and
long-term diet signals. Furthermore, integrating FA analysis with
metabarcoding offers valuable insights into zooplankton digestion
efficiency across taxonomic levels. This combined approach enhances our
understanding of zooplankton feeding ecology and trophic interactions in
marine ecosystems.