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Record W2118591257 · doi:10.1099/mic.0.2006/001362-0

A Sinorhizobium meliloti minE mutant has an altered morphology and exhibits defects in legume symbiosis

2007· article· en· W2118591257 on OpenAlexaff
Jiujun Cheng, Christopher D. Sibley, Rahat Zaheer, Turlough M. Finan

Bibliographic record

VenueMicrobiology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSinorhizobium melilotiBiologyMutantGeneSymbiosisCell divisionRoot noduleCell biologyOperonGeneticsCellMicrobiologyBacteria

Abstract

fetched live from OpenAlex

Sinorhizobium meliloti differentiates from rod-shaped, free-living cells into pleomorphic, non-dividing, N(2)-fixing bacteroids within alfalfa root nodules. Here, the role of the minCDE genes in bacteroid differentiation and in free-living cell division is examined. Disruption of the minE gene resulted in large, swollen and branched free-living cells, and in symbiosis a minE mutation resulted in a defect in nitrogen fixation with activity reduced by approximately 70 % compared to the wild-type. It has been demonstrated that the minCDE genes form an operon driven by a promoter located 173 bp upstream of minC. The minCDE genes were expressed in free-living cells and in both the infection zone and the symbiotic zone of alfalfa nodules; however, no changes in the free-living cell morphology, growth or symbiotic N(2) fixation were detected as a result of deletion of these genes. Induced production of individual or combinations of Min proteins in S. meliloti altered its rod-shaped cell morphology. Moreover, cell morphologies resulting from the overexpression of the S. meliloti Min proteins in Escherichia coli suggested similar functions for the E. coli and S. meliloti min genes. These data suggest that there is greater redundancy in the roles of cell division genes in S. meliloti compared with E. coli.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.220
Teacher spread0.200 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations68
Published2007
Admission routes1
Has abstractyes

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