Chromosome-level genomes of two Bracteacoccaceae highlight adaptations to biocrusts
Bibliographic record
Abstract
Biological soil crusts (biocrusts) cover the majority of the world's dryland ground and are a significant component of the vegetation-free surface of the planet. They consist of an intimate association of microbial organisms, lichens, bryophytes and fungi. Biocrusts are severely endangered by anthropogenic disturbances despite their importance. The genus Bracteacoccus (Sphaeropleales, Chlorophyta) is a ubiquitous component of biocrusts from extreme environments. Here, we present the chromosome-level genome sequences of two Bracteacoccus species, B. bullatus and B. minor. Genome comparisons with other Archaeplastida identify genomic features that highlight the adaptation of these algae to abiotic stresses prevailing in such environments. These features include horizontal gene transfer events mainly from bacteria or fungi, gains and expansions of stress-related gene families, neofunctionalization of genes following gene duplications and genome structural variations. We also summarize transcriptional and metabolic responses of the lipid pathway of B. minor, based on multi-omics analyses, which is important for balancing the flexible conversion of polar membrane lipids and non-polar storage lipids to cope with various abiotic stresses. Under dehydration and high-temperature stress conditions B. minor differs considerably from other eukaryotic algae. Overall, these findings provide insights into the genetic basis of adaptation to abiotic stress in biocrust algae.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".