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Record W2092786654 · doi:10.1080/10408410091154219

The Natural Evolutionary Relationships among Prokaryotes

2000· review· en· W2092786654 on OpenAlexaff
Radhey S. Gupta

Bibliographic record

VenueCritical Reviews in Microbiology · 2000
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyArchaeaMost recent common ancestorHorizontal gene transferAncestorThree-domain systemEvolutionary biologyGeneGeneticsPhylogeneticsBacteriaPhylogenetic treeTaxonEcology

Abstract

fetched live from OpenAlex

Two contrasting and very different proposals have been put forward to account for the evolutionary relationships among prokaryotes. The currently widely accepted three domain proposal by Woese et al. (Proc. Natl. Acad. Sci. USA (1990) 87: 4576-4579) calls for the division of prokaryotes into two primary groups or domains, termed archaebacteria (Archaea) and eubacteria (Bacteria), both of which are suggested to have originated independently from a universal ancestor. However, this proposal, which is based primarily on genes involved in the information transfer processes, is inconsistent with the ultrastructural characteristics of prokaryotes as well as with many gene phylogenies and provides no explanation as to how the structural and molecular differences seen between these groups arose and how other prokaryotic taxa are related or evolved from the common ancestor. It also postulates that the last common ancestor of all organisms was a hypothetical entity lacking a cell membrane, which is contrary to the basic requirement of a cell membrane to define and separate all forms of life from the surrounding environment. A second alternate proposal for the evolutionary relationships among prokaryotes has emerged from extensive analyses of numerous conserved inserts and deletions found in various proteins (Gupta, R. S., Microbiol. Mol. Biol. Rev. (1998)62: 1435-1491; FEMS Microbiol. Rev. (2000) 24: in press. This proposal points to a specific relationship between archaebacteria and gram-positive bacteria, both of which are prokaryotes bounded by a single cell membrane (monoderm prokaryotes). Gram-negative bacteria, which are bounded by two different membranes (diderm prokaryotes), are indicated to comprise a structurally and phylogenetically distinct taxa originating from gram-positive bacteria. This proposal postulates that the earliest prokaryote was a gram-positive bacteria from which both archaebacteria and diderm prokaryotes evolved by normal evolutionary mechanisms in response to the strong selection pressure exerted by antibiotics produced by certain groups of gram-positive bacteria. This proposal accounts for both the molecular as well structural differences seen among the main groups of prokaryotes by known evolutionary mechanisms without invoking any hypothetical process or entity and thus is a closer representation of the natural relationships among prokaryotes than the proposal for two distinct domains. Based on this new proposal, it is now possible to logically deduce the branching order of different prokaryotic taxa from the common ancestor, which is as follows: Gram-positive bacteria (Low G + C) (<=> Archaebacteria) => Gram-positive bacteria (High G + C) (<=> Archaebacteria)=> Deinococcus-Thermus => Green nonsulfur bacteria => Cyanobacteria => Spirochetes => Chlamydia- Cytophaga-Green sulfur bacteria => Proteobacteria-1 (epsilon, delta)=> Proteobacteria-2 (alpha) => Proteobacteria-3 (beta) => Proteobacteria-4 (gamma). A surprising but very important aspect of the relationship deduced here is that the main eubacterial phyla are related to each other linearly rather than in a tree-like manner, suggesting that the major evolutionary changes within prokaryotes (bacteria) have occurred in a directional manner.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.046
GPT teacher head0.329
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations114
Published2000
Admission routes1
Has abstractyes

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