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Record W3199602290 · doi:10.21203/rs.2.17396/v1

Transcriptome profiling of mastitis-specialized Staphylococcus aureus reveals the impact of low-oxygenation on the regulation of unique pawthways after internalization into bovine mammary alveolar cell-T (MAC-T)

2019· preprint· en· W3199602290 on OpenAlexaff
Kamaleldin B. Said, Xin Zhao, Marcus B. Jones, Rosslyn Maybank, Scott N. Peterson

Bibliographic record

VenueResearch Square (Research Square) · 2019
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsMcGill University
Fundersnot available
KeywordsInternalizationStaphylococcus aureusProfiling (computer programming)MastitisTranscriptomeMicrobiologyBiologyImmunologyCellComputer scienceBacteriaGeneGeneticsGene expression

Abstract

fetched live from OpenAlex

Abstract Background Mastitis-specialized lineages of Staphylococcus aureus are important pathogens in the dairy industry. The molecular mechanisms underlying host- and organ-specialization in these lineages are still not fully understood. Recent findings suggested that differential expression of genes may have contributed to the evolution of strains with enhanced virulence. However, studies on gene expressions under key intra-mammary conditions are quite limited for mastitis S. aureus . The purpose of the study was to investigate the influence of low oxygen levels on the transcriptome profiles of bovine matitis S. aureus , using high-throughput whole genome qRT-PCR.Results Results showed that under normal oxygenation, a mastitis-isolate expressed subsets of genes for adaptation, environmental-sensing, and binding including merR, sigB , vraS , yycG/yycF , araC , and tetR . In addition, coupling of fermentative metabolism to virulence was indicated by accumulated transcripts for catabolite control protein A ( ccpA) and pentose-monophosphate operon and depleted transcripts for tricaroxylic acid cycle. Furthermore, sarU mediated agr activation was evidented by transcripts for toxins, adaptation, and in-vivo viability factors as staphopains and gntR operon. On the other hand, reduced oxygenation increased transcription of fibrinogen-binding genes, isd- operon, and sdrH showing aggressive adherence phenotype. While normal oxygenation produced gene activities for quick and aggressive responses, low-oxygenation induced phenotypes for persistence, binding, and metabolic inactivity.Conclusion Significant differences in the transcriptional profiles were observed for mammary alveolar cell-T (MAC-T) internalized S. aureus under low oxygen levels compared to that at normal levels. This indicated that low oxygen is an important key mammary factor that influence transcriptome profiles of intra-mammary-specific phenotypes of S. aureus . These findings will help in understanding the effect of oxygen on the differentiation and evolution of intramammary S. aureus .

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
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 score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
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 head0.070
GPT teacher head0.360
Teacher spread0.291 · 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.

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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