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Record W4404590388 · doi:10.1128/aem.01281-24

Variability in cadmium tolerance of closely related <i>Listeria monocytogenes</i> isolates originating from dairy processing environments

2024· article· en· W4404590388 on OpenAlexaff
Andrea Domen, Jared Johnson, James Molyneux, Lorraine McIntyre, Jovana Kovačević, Joy Waite‐Cusic

Bibliographic record

VenueApplied and Environmental Microbiology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicListeria monocytogenes in Food Safety
Canadian institutionsBC Centre for Disease Control
FundersOregon State UniversityUtah State University
KeywordsListeria monocytogenesBiologyCadmiumMicrobiologyListeriaBacteriaFood scienceGeneticsChemistry

Abstract

fetched live from OpenAlex

ABSTRACT Increased tolerance to cadmium in Listeria monocytogenes has been suggested to contribute to their persistence in natural and food production environments. This study investigated the phenotypic cadmium response of L. monocytogenes strains with efflux pump cadAC (variants 1–4) and related strains with cadA1C1 . Growth of cadAC variant strains ( n = 5) in 0 µM–120 µM cadmium salts (CdCl 2 , CdSO 4 ) in Mueller-Hinton broth (MHB) was evaluated. Additionally, 88 L . monocytogenes strains from dairy processing facilities were exposed to 43.8 µM CdCl 2 in MHB, and their lag phase duration (LPD) was measured. Strains with cadA1 through cadA3 showed similar growth trends in the presence of cadmium, while the cadA4 variant (Scott A) had the highest CdCl 2 minimum inhibitory concentration (175 µM). Growth varied between the two salts, with CdSO 4 significantly increasing LPD ( P < 0.05) compared to CdCl 2 . In 43.8 µM CdCl 2 , cadA1 strains displayed LPDs ranging from 0.99 ± 0.14 h to 6.44 ± 0.08 h, with no clear genomic differences explaining this variability. Strains without cadA did not grow at 43.8 µM CdCl 2 but exhibited low tolerance (10.9 µM CdCl 2 ), potentially due to non-specific soft metal ATPases (626 aa; 737 aa) and soft metal resistance proteins encoded by czc genes (289 aa; 291 aa; 303 aa) within their chromosomes. These findings enhance our understanding of L. monocytogenes cadmium tolerance and underscore the need for further research to explore the genetic and physiological factors underlying these trends. IMPORTANCE Mobile genetic elements in Listeria monocytogenes contribute to its survival in natural and food processing environments. This study focused on how different genetic variants of the efflux pump gene cadAC and group of closely related cadA1C1 strains respond to cadmium exposure. When exposed to two cadmium salts, cadmium chloride and cadmium sulfate, we observed varying growth patterns, with a significantly longer lag phase in cadmium sulfate compared to cadmium chloride. Strains with cadA1 to cadA3 had similar growth trends, whereas a strain with the cadA4 variant had the highest minimum inhibitory concentration value. Among 88 strains from dairy processing facilities, significant phenotypic differences were observed despite core genome similarities, indicating other underlying genetic and physiological factors contribute to cadmium tolerance. Since cadmium tolerance studies in L. monocytogenes are limited, with rare phenotypic comparisons between closely related strains, our study makes an important observation and contribution to understanding of L. monocytogenes tolerance to cadmium by providing phenotypic comparisons between numerous strains within the same clonal group (<16 single nucleotide polymorphisms).

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)0.000
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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