Horizontal gene transfer and gene loss drove the divergent evolution of host dependency in Micrarchaeota
Bibliographic record
Abstract
ABSTRACT The DPANN superphylum is a deep-branching radiation of archaea with small cell and genome sizes. Most DPANN lineages are predicted or validated to be host-dependent. However, certain lineages have substantial biosynthetic capacities and are potentially less dependent on hosts, or even free-living. Here, we reconstructed 163 Micrarchaeota genomes, comprising 48 assigned to previously undescribed orders and 115 affiliated with known orders. Investigation of their genetic repertoire revealed substantial metabolic capacity in Norongarragalinales-, Anstonellales- and the newly proposed Wunengiarchaeales-associated lineages, including complete or near-complete glycolysis and de novo biosynthetic pathways for nucleotides, amino acids, cofactors and cell envelopes. We classified genes related to the central metabolism but which are uncommon in DPANN archaea as putative free-living associated genes (pFLAGs). The extensive presence of pFLAGs in Norongarragalinales suggests a potential host-independent lifestyle. Reconstruction of evolutionary history revealed that these pFLAGs were not ancestral within the DPANN superphylum. Instead, we suggest that less-host-dependent organisms evolved from symbionts through the gradual acquisition of pFLAGs through horizontal gene transfer, whereas other Micrarchaeota lineages with streamlined genomes experienced reductive evolution due to thermal adaptation. Our analyses demonstrate that host dependency is not always an evolutionary dead end, but can be reversed through the acquisition of new metabolic capabilities by horizontal transfer.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".