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Molecular characteristics and antibiotic susceptibility profiles of Mycoplasma bovis associated with mastitis on dairy farms in China

2020· article· en· W3049615823 on OpenAlexaff
Yang Liu, Siyu Xu, Mengyue Li, Man Zhou, Wenlin Huo, Jian Gao, Gang Liu, John P. Kastelic, Bo Han

Bibliographic record

VenuePreventive Veterinary Medicine · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsUniversity of Calgary
FundersNational Dairy Industry and Technology SystemChina Agricultural UniversityNational Natural Science Foundation of China
KeywordsMastitisBiologyVeterinary medicineTypingMicrobiologyMedicine

Abstract

fetched live from OpenAlex

Mycoplasma bovis (M. bovis) is regarded as the most prevalent mycoplasma species causing bovine mastitis worldwide. This study was conducted with the objectives to: (1) estimate M. bovis prevalence in samples from clinical mastitis and bulk tank milk; (2) assess genetic diversity and population structure of isolates; and (3) determine antibiotic susceptibility of isolates to nine antimicrobials. Milk samples (n = 476), including 450 clinical mastitis and 26 bulk tank milk samples from 23 farms (each with >1000 lactating cows) in 10 provinces of China were collected between May 2018 and September 2019. M. bovis cultured from milk samples were analyzed by multi-locus sequence typing. Minimum inhibitory concentrations of all isolates to nine antimicrobials were determined. Differences in minimum inhibitory concentration values were assessed by Kruskal-Wallis test with Bonferroni correction. The positive proportions of M. bovis in clinical mastitis samples and bulk tank milk samples were 39/450 (8.7%) and 11/26 (42.3%), respectively. Based on multi-locus sequence typing, the 50 isolates were identified as three sequence types, including sequence type 10 and two novel sequence types (newly registered as sequence type 172 and sequence type 173). The most prevalent type, sequence type 172 (31/50, 62.0%), had allelic profile 4, 3, 2, 3, 5, 7, 4. In addition, sequence type 10 with allelic profile 4, 3, 2, 3, 5, 3, 4 had a mid-range prevalence (11/50, 22.0%), whereas sequence type 173 with allelic profile 10, 3, 6, 13, 21, 6, 10 was the least prevalent (8/50, 16.0%). Both sequence type 10 and sequence type 172 were clustered in Clonal Complex 3, with isolates from the USA. M. bovis isolates in this study uniformly had low level minimum inhibitory concentrations to enrofloxacin and tiamulin. Overall variances among isolates were significant (Kruskal-Wallis test) for clindamycin (P = 0.006), erythromycin (P = 0.012) and tylosin (P =0.004). Relative to the sequence type 10 group, there were higher minimum inhibitory concentrations levels for the sequence type 173 group (H = -19.795, P = 0.003, for clindamycin; H = -19.574, P = 0.003, for erythromycin; and H = -18.881, P = 0.003, for tylosin) by post-hoc comparisons using pairwise comparisons of mean ranks following Kruskal-Wallis test with Bonferroni correction. Hence, increasing antimicrobial resistance may have contributed to emergence of novel sequence types. These data provided a baseline for elucidating genetic diversity and antibiotic susceptibility profiles of M. bovis in the main dairy-farming provinces in China.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.489

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 science0.0000.000
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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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 designObservational
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

Citations23
Published2020
Admission routes1
Has abstractyes

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