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Record W4288428487 · doi:10.1111/mmi.14966

Role of novel polysaccharide layers in assembly of the exosporium, the outermost protein layer of the <i>Bacillus anthracis</i> spore

2022· article· en· W4288428487 on OpenAlexaff
Dörte Lehmann, Margaret Sladek, Mark Khemmani, Tyler J. Boone, Eric J. Rees, Adam Driks

Bibliographic record

VenueMolecular Microbiology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsAlberta Innovates
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of Health
KeywordsBiologyBacillus anthracisCell wallPolysaccharideS-layerSporeCell biologyEndosporeLayer (electronics)MicrobiologyBacteriaBiochemistryGeneticsNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

A fundamental question in cell biology is how cells assemble their outer layers. The bacterial endospore is a well-established model for cell layer assembly. However, the assembly of the exosporium, a complex protein shell comprising the outermost layer in the pathogen Bacillus anthracis, remains poorly understood. Exosporium assembly begins with the deposition of proteins at one side of the spore surface, followed by the progressive encirclement of the spore. We seek to resolve a major open question: the mechanism directing exosporium assembly to the spore, and then into a closed shell. We hypothesized that material directly underneath the exosporium (the interspace) directs exosporium assembly to the spore and drives encirclement. In support of this, we show that the interspace possesses at least two distinct layers of polysaccharide. Secondly, we show that putative polysaccharide biosynthetic genes are required for exosporium encirclement, suggesting a direct role for the interspace. These results not only significantly clarify the mechanism of assembly of the exosporium, an especially widespread bacterial outer layer, but also suggest a novel mechanism in which polysaccharide layers drive the assembly of a protein shell.

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)0.000
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 score0.023
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.001
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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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