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Record W2558577395 · doi:10.3934/microbiol.2016.4.460

Transcriptional activity and role of plasmids of <em>Lactobacillus brevis </em>BSO 464 and <em>Pediococcus claussenii </em>ATCC BAA-344T during growth in the presence of hops

2016· article· en· W2558577395 on OpenAlexaff
Jordyn Bergsveinson, Emily Ewen, Vanessa Friesen, Barry Ziola

Bibliographic record

VenueAIMS Microbiology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsRoyal University HospitalUniversity of SaskatchewanContango Strategies (Canada)
Fundersnot available
KeywordsLactobacillus brevisFood spoilageBiologyBacteriaPlasmidLactic acidTranscriptomeFood scienceLactobacillusMicrobiologyGeneBiochemistryGeneticsGene expressionLactobacillus plantarum

Abstract

fetched live from OpenAlex

Whole-transcriptome analysis was performed on beer-spoilage organisms<em> Lactobacillus brevis </em>BSO 464 (Lb464) and <em>Pediococcus claussenii </em>ATCC BAA-344<sup>T</sup> (Pc344) when grown in growth-limiting concentrations of hop extract. This was done to delineate the hops-specific component of the total transcriptional response for these bacteria when growing in beer. The transcriptome of highly hop-tolerant isolate Lb464 had fewer genes with differential expression in response to a stronger challenge (i.e., higher bitterness units) of hop extract than did Pc344, highlighting the variable nature of hop-tolerance in beer-spoilage-related lactic acid bacteria. As Lb464 can grow in pressurized/gassed beer and Pc344 cannot, this indicates that the genetic and physiological response to hops alone does not dictate the overall beer-spoilage virulence of an isolate. The general response to hops in both isolates involves pathways of acid tolerance and intracellular pH homeostasis, with glutamate and citrate metabolism, and biogenic amine metabolism as additional major responses to the presence of hop extract by Lb464 and Pc344, respectively. A Pc344 chromosomal ABC transporter (PECL_1630) was more strongly expressed than the plasmid-located, hop-tolerance ABC transporter <em>horA.</em> PECL_1630 is suggested to be involved in import of ATP into the cell, potentially assisting the total bacterial community when facing hop stress. This transporter is found in other beer-related <em>P. claussenii </em>suggesting a putative species-specific beer-spoilage-related genetic marker. Lb464 and Pc344 each contain eight plasmids and transcription from almost all occurs in response to both hops and beer. However, as evident by both transcriptional analysis and plasmid variant analysis, each bacterium harbors one plasmid that is critical for responding to hops and beer stress. For both bacteria, complex transcriptional regulation and cooperation between chromosomal and plasmid-based genes occurs in response to the growth challenges imposed by hops or beer.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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
Published2016
Admission routes1
Has abstractyes

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