Progress, challenges and future directions in marine organic-walled dinoflagellate cyst research: New insights from an international workshop
Bibliographic record
Abstract
Cysts are resistant life-cycle stages that play a key role in the survival and dispersal of some dinoflagellate species. Given their preservation and fossilisation potential, the organic-walled dinoflagellate cysts have been widely used as bioindicators of past and present environmental conditions. Living cysts are studied extensively due to their roles in bloom initiation, termination, and species adaptation. The use of cysts in various fields such as taxonomy, biogeography, evolution, (palaeo)ecology, and (palaeo)oceanography has expanded significantly in recent years. In this paper, we review recent developments, identify research needs, and outline future directions in marine organic-walled dinoflagellate cyst research based on round-table discussions held during the International Workshop on Dinoflagellate Cysts, which took place from 18 to 21 June 2024 in Vigo (Spain). Key priorities in taxonomy, evolution, and biogeography include the need to continue establishing connections between the cyst and motile forms along with their associated sequences, particularly for Harmful Algal Bloom (HAB) species, and updating reference databases for metabarcoding studies. Emerging molecular techniques, such as metabarcoding, provide complementary information on cyst diversity, distribution, and geographic connectivity, thereby aiding in the monitoring and reconstruction of HAB dynamics. Given the impacts of climate change on biogeographical ranges, cysts could serve as valuable indicators for tracking HAB shifts. Combining multi-omics with morphological methods could offer deeper insights into character evolution and support the construction of the dinoflagellate tree of life. Advances in the biogeochemical analysis of dinoflagellate cyst walls, particularly through the detailed study of dinosporin, are also promising for evolutionary research, as demonstrated by recent methodological advances in Fourier Transform Infrared (FTIR) and Raman spectroscopy. In palaeoceanography and palaeoecology, improving quantitative cyst-based reconstructions requires expanding the database of living cyst assemblages and their relationships with environmental variables, especially in underrepresented regions, notably in the Southern Hemisphere. Despite progress towards standardisation, there remains no universally adopted standardised methods for extracting and concentrating cysts from sediments or for quantifying cysts-essential steps for inter-site comparisons. Additionally, sediment trap studies and field observations of associated plankton are needed to complement surface sediment research and enhance our understanding of species ecology. The emerging field of palaeogenomics is promising as it complements cyst-based research. Finally, the integration of biological and geological studies to address key scientific questions is emphasised. For example, investigating the discrepancy between the accepted geological emergence of dinoflagellates and earlier suggestions from geochemistry, molecular analysis, and re-examination of acritarchs could help resolve the early phylogeny of the group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".