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Record W2998400803 · doi:10.15173/m.v1i36.2335

Developing a qualitative chemotaxis-sensitive assay for bacteriophage-host interactions on E. coli BW2511

2019· article· en· W2998400803 on OpenAlexvenueno aff
The Meducator, Aaron Wen, Esra Rakab

Bibliographic record

VenueThe Meducator · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
Fundersnot available
KeywordsChemotaxisEscherichia coliBacteriophageBacteriaBiologyChemotaxis assayMicrobiologyAgar plateHost (biology)AgarBiochemistryGeneticsReceptor

Abstract

fetched live from OpenAlex

To better understand the interactions between bacteriophages and host bacteria, one factor to observe is chemotaxis. Chemotaxis describes the biased directional movement of bacteria either towards or away from a substance. This phenomenon is created by the inhibition or potentiation of tumbling events, which randomize the direction of the host every few seconds. The presence of chemoattractants and chemorepellents can modify the number of tumbling events that occur. In order to elucidate the role of bacteriophages in bacterial chemotaxis, this project aimed to optimize an assay to qualitatively observe chemotaxis within E. coli BW2511 (WT) in comparison to a mutant strain with cheA deletion. Three main assay methods were tested: Tris HCl plate assays, Tris HCl microcapillary assays, and TTC Eppendorf assays. Of all the methods tested, only TTC Eppendorf assays with TTC indicator consistently showed chemotaxis. This study continued to use the Eppendorf assay and determined if various bacteriophages could attract E. coli BW2511 to chemotactically move up a layer of 0.4% PBS-based agar and against gravitational pull.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.333
Teacher spread0.302 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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