Methodological ‘lenses’ influence the characterization of phytoplankton dynamics in a coastal upwelling ecosystem

Abstract

New technologies enable the opportunity to improve our monitoring and understanding of marine phytoplankton communities. However, careful consideration for how different methodological approaches, or 'lenses', influence our interpretation of phytoplankton ecology is important, particularly when drawing conclusions about change over time or space. Using both high-throughput 18S rRNA gene sequencing and microscopy, we explored how phytoplankton community structure varied over the course of a year within a nearshore semi-enclosed coastal embayment along the Central Coast of California. The seasonal shift in the relative community dominance (i.e., diatom vs. dinoflagellate dominance) was captured in the microscopy results but not effectively captured in the molecular-based findings. However, the molecular approach explained more of the variability in composition across seasons relative to the microscopy approach. Temporal dynamics of specific bloom-forming taxa also differed between the molecular and microscopy results. Overall, the observed differences between the molecular-and microscopy-derived characterization of phytoplankton dynamics suggest that the approaches are best suited to answer different research questions. Moreover, the approaches complement each other for a more comprehensive perspective of a coastal phytoplankton ecosystem. Therefore, identifying the biases of each approach within natural communities is necessary to effectively and accurately characterize phytoplankton communities.

Plastoquinone synthesis inhibition by tetrabromo biphenyldiol as a widespread algicidal mechanism of marine bacteria

“…Moreover, Cryptophyta contain phycobiliproteins or alloxanthin [ 36 ], which might help to reduce the oxidative stress induced by algicidal substances and weaken the susceptibility of Cryptophyta to 4-BP [ 37 , 38 ]. We admit that the phytoplankton community composition obtained using molecular techniques is often inconsistent when compared with morphological observations, and should introduce some biases in this study; however, molecular techniques can also identify those algal species that cannot be detected by morphological observations alone [ 39 , 40 ]. In addition, it is worth noting that these results still require further validation with larger sample sizes.…”

Comparison of advanced methodologies for diatom identification within dynamic coastal communities

“…In addition, taxonomic information derived from sequencing approaches is reliant on the strength of the taxonomic reference database, making the approach less reliable for understudied regions or organisms. Several studies have proposed a combination of morphological and nucleic acid‐based methods to derive the most informative analysis of plankton community composition (Groendahl et al 2017; Banerji et al 2018; Malashenkov et al 2021; Santi et al 2021; Hammond et al 2022).…”