Evidence map›Paper›PMID 41787116›Full record

ArticleMolecular genetics and genomics : MGG2026

Global in silico genomic epidemiology of tetracycline resistance in Staphylococcus aureus: one health dynamics and genotype-phenotype associations.

Saleh A S AlAbdulhadi, Lina A Hassan, Dhuha D M Alrawi, Istabraq H Badr, Amr Ali Mohamed Abdelgawwad El-Sehrawy, Rajashree Panigrahi, Amit Kumar Singh, D Roselin Jenifer, Vipasha Sharma, Mohammad Sholeh

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Saleh A S AlAbdulhadiDepartment of Medical Laboratory Science, University Prince Sattam bin Abdulaziz, Riyadh, Saudi Arabia.
Lina A HassanDepartment of Pathological Analyses, Faculty of Science, University of Kufa, Kufa, Iraq.ORCID http://orcid.org/0000-0002-5516-3160
Dhuha D M AlrawiDepartment of Medical Laboratory Techniques, College of Health and Technology, University of Al-Maarif, Ramadi, Al-Anbar, Iraq.
Istabraq H BadrDepartment of Medical Analysis, Medical Laboratory Technique College, the Islamic University, Najaf, Iraq.
Amr Ali Mohamed Abdelgawwad El-SehrawyDepartment of Internal Medicine, Diabetes, Endocrinology and Metabolism, Mansoura University, Mansoura, Egypt.
Rajashree PanigrahiDepartment of Microbiology, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751003, Odisha, India.
Amit Kumar SinghSharda School of Bio-Science & Technology, Sharda University, Greater Noida, India.
D Roselin JeniferDepartment of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Vipasha SharmaDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Mohammad SholehDepartment of Bacteriology, Pasteur Institute of Iran, Tehran, Iran. mohammad.sholeh.mail@gmail.com.ORCID http://orcid.org/0000-0003-1748-7225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tetracyclines remain widely used in human and veterinary medicine for the treatment of Staphylococcus aureus, including methicillin-resistant strains, and are key agents at the human–animal–environment interface. However, the global genomic epidemiology of tetracycline resistance mechanisms, their temporal stability, host structuring, and genotype–phenotype relationships across the tetracycline class remain incompletely resolved. We performed a large-scale in silico analysis to characterize tetracycline resistance determinants, minimum inhibitory concentration (MIC) patterns, and One Health dynamics in S. aureus. A total of 110,309 publicly available S. aureus genomes collected between 2000 and 2025 from 128 countries were retrieved from NCBI and subjected to rigorous quality control. Tetracycline resistance determinants including intrinsic efflux pumps (tet, mepA), acquired efflux genes (tet(K), tet(L)), ribosomal protection proteins (tet(M), tet(O), tet(S), tet(W)), rare tet alleles, and the ribosomal S10 mutation rpsJ Y58D were identified using AMRFinderPlus. Host source, geography, and multilocus sequence type (MLST) were integrated. Phenotypic MIC data for tetracycline, oxytetracycline, doxycycline, minocycline, and tigecycline were harmonized using Clinical and Laboratory Standards Institute/ European Committee on Antimicrobial Susceptibility Testing logic. Temporal trends, host enrichment, clonal structure, and gene–MIC associations were assessed using regression models and descriptive genomics. Intrinsic efflux determinants were nearly universal, with tet and mepA detected in > 99.9% of genomes, defining a fixed genomic background. Acquired resistance genes were less frequent and strongly host-structured: tet(K) (12.0%), tet(M) (11.0%), and tet(L) (1.9%) predominated, while other tet family members and rpsJ Y58D remained rare (< 1.1%). Environmental and animal isolates carried significantly higher frequencies of acquired determinants than human isolates (p < 0.001), consistent with One Health reservoirs of resistance. Temporal analyses revealed largely stable prevalence of tetracycline resistance mechanisms over two decades, with only modest declines in human-associated tet(M). MIC distributions showed preserved activity of tigecycline and minocycline (100% susceptible), high susceptibility to tetracycline (97%), and moderate non-susceptibility for doxycycline. Gene–phenotype alignment demonstrated that tet(K) and tet(M) were associated with elevated MIC tails, whereas isolates harboring only intrinsic efflux clustered at lower MICs. Global tetracycline resistance in S. aureus is characterized by a stable intrinsic efflux backbone with superimposed, host-structured acquisition of mobile tet genes that shape agent-specific MIC distributions. The persistence of higher resistance gene burdens in animal and environmental reservoirs underscores the importance of One Health surveillance. Despite widespread gene carriage, tetracyclines particularly tigecycline and minocycline retain strong phenotypic activity, highlighting opportunities for informed stewardship guided by genome-based monitoring.

Indexed as

Staphylococcal InfectionsStaphylococcus aureusTetracycline ResistanceAnimalsAnti-Bacterial AgentsBacterial ProteinsComputer SimulationGenetic Association StudiesGenome, BacterialGenomicsHumansMicrobial Sensitivity TestsMultilocus Sequence TypingOne HealthPhenotypeTetracyclineAnti-Bacterial AgentsBacterial ProteinsTetracyclineIn silico, multilocus sequence typingMICStaphylococcus aureusTetracycline

Identifiers

PMID41787116

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.