Coherence of <i>Microcystis</i> species revealed through population genomics
Bibliographic record
Abstract
Abstract Microcystis is a genus of freshwater cyanobacteria which causes harmful blooms in ecosystems worldwide. Some Microcystis strains produce harmful toxins such as microcystin, impacting drinking water quality. Microcystis colony morphology, rather than genetic similarity, is often used to classify Microcystis into morphospecies. However, colony morphology is a plastic trait which can change depending on environmental and laboratory culture conditions, and is thus an inadequate criterion for species delineation. Furthermore, Microcystis populations are thought to disperse globally and constitute a homogeneous gene pool. However, this assertion is based on relatively incomplete characterization of Microcystis genomic diversity. To better understand these issues, we performed a population genomic analysis of 33 newly sequenced genomes (of which 19 were resequenced to check for mutation in culture) mainly from Canada and Brazil. We identified eight Microcystis clusters of genomic similarity, only four of which correspond to named morphospecies and monophyletic groups. Notably, M. aeruginosa is paraphyletic, distributed across four genomic clusters, suggesting it is not a coherent species. Most monophyletic groups are specific to a unique geographic location, suggesting biogeographic structure over relatively short evolutionary time scales. Higher homologous recombination rates within than between clusters further suggest that monophyletic groups might adhere to a Biological Species-like concept, in which barriers to gene flow maintain species distinctness. However, certain genes – including some involved in microcystin and micropeptin biosynthesis – are recombined between monophyletic groups in the same geographic location, suggesting local adaptation. Together, our results show the importance of using genomic criteria for Microcystis species delimitation and suggest the existence of locally adapted lineages and genes. Importance The genus Microcystis is responsible for harmful and often toxic cyanobacterial blooms across the world, yet it is unclear how and if the genus should be divided into ecologically and genomically distinct species. To resolve the controversy and uncertainty surrounding Microcystis species, we performed a population genomic analysis of Microcystis genome from public databases, along with new isolates from Canada and Brazil. We inferred that significant genetic substructure exists within Microcystis , with several species being maintained by barriers to gene flow. Thus, Microcystis appears to be among a growing number of bacteria that adhere to a Biological Species-like Concept (BSC). Barriers to gene flow are permeable, however, and we find evidence for relatively frequent cross-species horizontal gene transfer (HGT) of genes that may be involved in local adaptation. Distinct clades of Microcystis (putative species) tend to have distinct profiles of toxin biosynthesis genes, and yet toxin genes are also subject to cross-species HGT and local adaptation. Our results thus pave the way for more informed classification, monitoring and understanding of harmful Microcystis blooms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".