Origin of diderm (Gram-negative) bacteria: antibiotic selection pressure rather than endosymbiosis likely led to the evolution of bacterial cells with two membranes
Bibliographic record
Abstract
The prokaryotic organisms can be divided into two main groups depending upon whether their cell envelopes contain one membrane (monoderms) or two membranes (diderms). It is important to understand how these and other variations that are observed in the cell envelopes of prokaryotic organisms have originated. In 2009, James Lake proposed that cells with two membranes (primarily Gram-negative bacteria) originated from an ancient endosymbiotic event involving an Actinobacteria and a Clostridia (Lake 2009). However, this Perspective argues that this proposal is based on a number of incorrect assumptions and the data presented in support of this model are also of questionable nature. Thus, there is no reliable evidence to support the endosymbiotic origin of double membrane bacteria. In contrast, many observations suggest that antibiotic selection pressure was an important selective force in prokaryotic evolution and that it likely played a central role in the evolution of diderm (Gram-negative) bacteria. Some bacterial phyla, such as Deinococcus-Thermus, which lack lipopolysaccharide (LPS) and yet contain some characteristics of the diderm bacteria, are postulated as evolutionary intermediates (simple diderms) in the transition between the monoderm bacterial taxa and the bacterial groups that have the archetypal LPS-containing outer cell membrane found in Gram-negative bacteria. It is possible to distinguish the two stages in the evolution of diderm-LPS cells (viz. monoderm bacteria → simple diderms lacking LPS → LPS containing archetypal diderm bacteria) by means of conserved inserts in the Hsp70 and Hsp60 proteins. The insert in the Hsp60 protein also distinguishes the traditional Gram-negative diderm bacterial phyla from atypical taxa of diderm bacteria (viz. Negativicutes, Fusobacteria, Synergistetes and Elusimicrobia). The Gram-negative bacterial phyla with an LPS-diderm cell envelope, as defined by the presence of the Hsp60 insert, are indicated to form a monophyletic clade and no loss of the outer membrane from any species from this group seems to have occurred. This argues against the origin of monoderm prokaryotes from diderm bacteria by loss of outer membrane.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".