ABSTRACT
Background and Aim: Calf diarrhea represents a major threat to yak (
Materials and Methods: Rectal swabs were collected from 12 naturally diarrheic yak calves across four geographically distinct farms in Huangyuan County, Qinghai Province, during the peak season (June–July). Bacterial isolates were obtained through enrichment in Luria-Bertani broth followed by plating on Luria-Bertani agar, and identified by Gram staining,
Results: Eight
Conclusion: MDR
Keywords: antimicrobial resistance, diarrhea,
INTRODUCTION
Yaks (Bos grunniens) are domesticated mammals unique to the Qinghai-Tibet Plateau, inhabiting alpine regions at elevations of 2,000–6,000 m. They maintain the ecological balance of high altitude pastoral ecosystems while serving as vital economic animals for local communities [1]. Qinghai is the world’s primary yak breeding region, with an annual stock of 5.18 million head, accounting for 38% of China’s total yak population. However, high calf mortality severely constrains the sustainable development of the industry, with diarrhea being the primary cause of illness and death [2–4]. Bacterial pathogens, such as diarrheagenic
However, antimicrobial resistance, particularly multidrug resistance in
Regrettably, the current understanding of this critical interface remains incomplete: What specific resistance phenotypes and genotypes do primary pathogenic bacteria causing calf yak diarrhea exhibit when faced with survival challenges in the extreme high altitude environment? Drug-resistant bacteria and their genes can transmit between animals, the environment, and humans, threatening public health security in frontier pastoral communities and beyond [10, 11].
This study isolated primary pathogenic bacteria from calf yak diarrhea samples collected from typical pastoral areas on the Qinghai-Tibet Plateau. The obtained resistance profiles were comprehensively analyzed, and whole-genome sequencing (WGS) was employed to analyze the genomic characteristics. This study aimed to identify the primary pathogenic bacteria causing diarrhea in local calf yaks, their antimicrobial resistance characteristics, and pathogenicity. It provides a foundational reference for establishing scientifically sound clinical drug use strategies and a regional antimicrobial resistance control system.
MATERIALS AND METHODS
Ethical approval
Twenty male C57BL/6 mice, 7–8 weeks old and weighing 20 ± 2 g, were purchased from the Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China. All mice were maintained on a standard diet and water ad libitum in a temperature- and humidity-controlled environment with a 12 h light/dark cycle. The housing temperature was kept constant at 22°C throughout the experiments. All animal procedures were approved by the Experimental Animal Ethics Committee of Lanzhou Institute of Animal Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (Ethics license No. 2024-030).
Sample collection
Huangyuan County, Qinghai Province, hosts a large yak population and widespread pastoral farming. During the peak diarrhea season (June–July), one large yak farm (herd size > 2 000 yaks) was selected from each of four geographically distinct zones (northeast, northwest, southeast, southwest) within the county. Three rectal swab samples were collected from naturally diarrheic yak calves on each farm, yielding a total of 12 samples. All sampled calves were naturally suckled and grazed with their dams on natural pastures. No calves had received antibiotics or antidiarrheal agents prior to sampling. Swabs were immediately placed in sterile transport medium, transported in a –20°C car refrigerator, and transferred to –70°C storage within 48 h for subsequent processing.
Bacterial isolation and culture
All procedures involving live bacteria were performed in a Biosafety Level 2 laboratory in accordance with protocols for handling MDR pathogens. Equipment and waste were autoclaved before disposal.
Rectal swabs were homogenized in sterile saline inside a biological safety cabinet. For primary enrichment, 100 μL of the suspension was inoculated into non-selective Luria-Bertani (LB) broth (Oxoid, Basingstoke, UK) and incubated aerobically at 37°C for 12 h. To obtain single colonies, 10 μL of the enriched broth was streaked in duplicate onto non-selective LB agar plates (Oxoid) and incubated at 37°C for 18–24 h.
Phenotypic and microscopic identification
From each sample, three presumptive
Molecular identification
Genomic DNA was extracted from pure cultures using the TaKaRa MiniBEST Bacterial Genomic DNA Extraction Kit (TaKaRa Bio, Dalian, China). DNA concentration and purity (A260/A280 ratio) were determined using a NanoDrop spectrophotometer. The nearly full-length
PCR products were purified by 1% agarose gel electrophoresis. Sanger sequencing was performed by Sangon Biotech (Shanghai, China). Sequencing reads with Phred quality scores (Q) > 20 were retained for assembly. For phylogenetic analysis, sequences were compared against the NCBI nr database via BLAST, retaining hits with >99.5% identity [12]. The top 30 matches were aligned using MAFFT. A maximum-likelihood phylogenetic tree was constructed with IQ-TREE v2.3.4 (best-fit model determined automatically), with branch support assessed from 1 000 bootstrap replicates. The tree was visualized using FigTree v1.4.4.
Antimicrobial susceptibility testing
Pathogenic
Quality control was conducted using the standard
WGS
The most MDR isolate (designated HYCQ01) was selected for WGS based on the antimicrobial susceptibility results. Sequencing was performed by Sangon Biotech Co., Ltd. (Shanghai, China) using the Oxford Nanopore Technologies MinION platform [14]. The purified strain was cultured in LB broth at 37 °C for 12 h. Bacterial cells from 10 mL of culture were harvested, inactivated by incubation at 60 °C for 30 min in a water bath, and processed for sequencing.
Genome assembly completeness was evaluated using BUSCO v5.4.7 with the OrthoDB dataset. Genomic features of HYCQ01, including GC content, sequencing depth, gene content, and clusters of orthologous groups functional categories, were visualized using Circos software.
Functional annotation of protein sequences was performed against the Virulence Factor Database (VFDB) and the Comprehensive Antibiotic Resistance Database (CARD) using BLASTP (e-value ≤1e-5, percent identity ≥40%, alignment length ≥50 bp) to identify putative virulence factors and antibiotic resistance genes, respectively.
Phylogenetic relationships were inferred from a single-copy core gene set and whole-genome SNP loci using the neighbor-joining method. Whole-genome collinearity with comparator strains was analyzed using MUMmer4 and visualized with the R-circlize package.
Pathogenicity assay
The HYCQ01 strain was purified and cultured in LB broth at 37°C for 12 h. Twenty mice were randomly divided into two groups: control and HYCQ01-infected. Mice in the infected group received an intraperitoneal injection of bacterial suspension (1.0 × 108 CFU/mL) at a dose of 100 μL/kg body weight. Control mice received an equivalent volume of sterile LB broth.
Mice were monitored every 30 min post-injection. Animals showing severe, irreversible signs of debilitation or obvious distress were immediately euthanized humanely, and time of death was recorded.
After euthanasia, tissues (heart, jejunum, kidneys, liver, lungs, spleen) were collected, fixed in 4% paraformaldehyde for 24 h at 4°C, dehydrated, embedded in paraffin, sectioned at 4 μm thickness, and stained with hematoxylin and eosin (H&E). Pathological changes were examined under a light microscope.
Statistical analysis
Data analysis and figure generation were performed using GraphPad Prism 10.1.2 (GraphPad Software, Inc., San Diego, CA, USA). Results are presented as mean ± standard error of the mean. Group comparisons were conducted using one-way analysis of variance. A p value < 0.05 was considered statistically significant.
RESULTS
Strain isolation
There were 8 suspected pathogenic strains isolated from 12 samples. On blood agar plates, the isolated pathogenic strains formed white, round colonies with a smooth surface and regular edges (Figure 1A). They produced purple-black colonies with a green metallic sheen on EMB agar (Figure 1B). Gram staining revealed that the isolated strains were Gram-negative, rod-shaped bacterium with rounded ends (Figure 1C), which were preliminarily identified as
Figure 1. Pathogenic strain cultivation. (A) Isolated strains cultured on blood agar plates showing white, round colonies with smooth surfaces and regular edges. (B) Isolated strains seeded on eosin methylene blue agar plates showing purple-black colonies with a green metallic sheen. (C) Gram staining results showing Gram-negative, rod-shaped bacteria with rounded ends. Scale bar: 10 μm.
Molecular identification
The
Figure 2. Molecular identification of pathogenic strain HYCQ01. (A) Amplified products of pathogenic bacteria causing yak diarrhea. Lane 1–8: DNA products of the 8
Antimicrobial susceptibility testing
To explore the antimicrobial susceptibility of HYCQ01, the K-B disk diffusion assay was employed. In total, 17 kinds of antibiotics were selected from 8 types of antibacterial drugs to analyze antibacterial drug susceptibility tests on HYCQ01 (Table 1). All clinical
Table 1. Antibiotic susceptibility profiles of eight
| Antibiotic classification | Antibiotic name | Isolate 1 | Isolate 2 | Isolate 3 | Isolate 4 | Isolate 5 | Isolate 6 | Isolate 7 | HYCQ01 | Resistance rate (%) |
|---|---|---|---|---|---|---|---|---|---|---|
| β-Lactams | Penicillin G | R | R | R | R | R | R | R | R | 100.00 |
| Amoxicillin | I | R | I | R | R | R | I | R | 62.50 | |
| Ampicillin | S | R | I | S | R | I | S | R | 37.50 | |
| Cephalosporins | Cefotaxime | S | S | S | S | S | S | S | I | 0.00 |
| Cefoxitin | S | I | S | S | S | S | S | S | 0.00 | |
| Aminoglycosides | Gentamicin | S | S | S | S | S | S | S | S | 0.00 |
| Kanamycin | S | I | I | S | I | I | S | I | 0.00 | |
| Streptomycin | I | S | R | I | R | R | R | R | 62.50 | |
| Neomycin | S | I | I | S | I | I | I | I | 0.00 | |
| Macrolides | Erythromycin | R | R | I | I | R | R | R | R | 75.00 |
| Tetracyclines | Tetracycline | S | R | I | I | R | I | R | R | 50.00 |
| 4-Quinolones | Ciprofloxacin | S | I | S | S | S | S | S | R | 12.50 |
| Ofloxacin | S | S | S | S | S | S | S | R | 12.50 | |
| Norfloxacin | S | S | S | S | S | S | S | R | 12.50 | |
| Lincosamides | Clindamycin | R | R | R | R | R | R | R | R | 100.00 |
| Sulfonamides | Trimethoprim-sulfamethoxazole | S | S | S | S | S | S | S | S | 0.00 |
| Sulfafurazole | R | S | R | R | R | R | R | R | 87.50 |
Results were interpreted according to Clinical and Laboratory Standards Institute VET08-Ed4 breakpoints. S = susceptible, I = intermediate, R = resistant. Isolates 1–7 represent the seven other
Genomic characterization
The final assembly had an N50 contig size of 5199568. The completeness and accuracy of the genome assembly revealed 100% completeness of conserved single-copy genes (Supplementary Fig. 1). The complete genome of the HYCQ01 strain was 5,448,231 bp in length, with 50.8% G+C content, depth193.74×, and a gene coverage of 100%, as detailed in Figure 3A. The NR protein database is a non-redundant protein database created and maintained by the NCBI. The database includes comprehensive protein sequence and annotation information along with corresponding species information. Annotation via the NR database revealed that
Figure 3. Genomic characterization of HYCQ01. (A) Clusters of orthologous groups category distribution of HYCQ01. (B) Analysis of sequence homology of HYCQ01 against the NR database.
Blastp analysis against the VFDB database identified a total of 337 and 635 items in VFDB Set A (the core dataset of VFDB) and Set B (the full dataset of VFDB) of the HYCQ01 strain, respectively. Tables 2 and 3 present a summary of the annotations for some virulence factors.
Table 2. Toxicity factor annotation results for Set A.
| VFDB_A | GeneID | VFG_Symbol | VF_Info | VF_Name |
|---|---|---|---|---|
| VFG000007 | Chrom1_002687, Chrom1_003192 | fimB | Chaperone protein | Fimbriae |
| VFG000033 | Chrom1_001763, Chrom1_003452 | bplF | Lipopolysaccharide biosynthesis protein | LPS |
| VFG000035 | Chrom1_003447 | bplD | UDP-N-acetylglucosamine 2-epimerase | LPS |
| VFG000044 | Chrom1_002472 | bscR | TTSS | |
| VFG000048 | Chrom1_003397 | bscN | ATP synthesis in Type III secretion system | TTSS |
| VFG000077 | Chrom1_004704 | clpP | ATP-dependent Clp protease proteolytic subunit | ClpP |
| VFG000106 | Chrom1_002611 | acfD | Accessory colonization factor | ACF |
| VFG000116 | Chrom1_002283 | algB | Two-component response regulator AlgB | Alginate |
| VFG000118 | Chrom1_003670 | algQ | Alginate regulatory protein (AlgQ) | Alginate |
| VFG000119 | Chrom1_001933, Chrom1_001642 | algR | Alginate biosynthesis regulatory protein | Alginate |
| VFG000121 | Chrom1_002124 | algU | Alginate biosynthesis protein AlgZ/FimS | Alginate |
| VFG000122 | Chrom1_003448 | algD | GDP-mannose 6-dehydrogenase AlgD | Alginate |
| VFG000139 | Chrom1_003284 | waaG | B-band O-ant polymerase | LPS |
| VFG000140 | Chrom1_003283 | waaP | UDP-glucose:(heptosyl) LPS α-1,3-glucosyltransferase WaaG | LPS |
| VFG000142 | Chrom1_003275 | waaC | 3-deoxy-D-manno-octulosonic-acid transferase | LPS |
ACF = Accessory colonization factor, AlgB = Alginate response regulator AlgB, AlgD = GDP-mannose 6-dehydrogenase, AlgQ = Alginate regulatory protein, AlgR = Alginate biosynthesis regulatory protein, AlgU = Alginate biosynthesis regulatory protein AlgZ/FimS, ClpP = ATP-dependent Clp protease proteolytic subunit, LPS = Lipopolysaccharide, TTSS = Type III secretion system.
Table 3. Toxicity factor annotation results for Set B.
| VFDB_B | GeneID | VFG_Symbol | VF_Info | VF_Name |
|---|---|---|---|---|
| VFG000035 | Chrom1_003447 | bplD | UDP-N-acetylglucosamine 2-epimerase | LPS |
| VFG000077 | Chrom1_004704 | clpP | ATP-dependent Clp protease proteolytic subunit | ClpP |
| VFG000079 | Chrom1_002145 | clpC | Endopeptidase Clp ATP-binding chain C | ClpC |
| VFG000106 | Chrom1_002611 | acfD | Accessory colonization factor | ACF |
| VFG000121 | Chrom1_002124 | algU | Alginate biosynthesis protein AlgZ/FimS | Alginate |
| VFG000139 | Chrom1_003284 | waaG | B-band O-ant polymerase | LPS |
| VFG000140 | Chrom1_003283 | waaP | UDP-glucose:(heptosyl) LPS α-1,3-glucosyltransferase WaaG | LPS |
| VFG000142 | Chrom1_003275 | waaC | 3-deoxy-D-manno-octulosonic-acid transferase | LPS |
| VFG000160 | Chrom1_004589 | pvdE | Pyoverdine biosynthesis protein PvdE | Pyoverdine |
| VFG000177 | Chrom1_002601 | xcpW | General secretion pathway protein J | XCP secretion system |
| VFG000313 | Chrom1_002399 | gluP | Glucose/galactose transporter | LPS |
| VFG000320 | Chrom1_003287 | kdtB | Lipopolysaccharide core biosynthesis protein | LPS |
| VFG000344 | Chrom1_000855, Chrom1_005057, Chrom1_000543 | hitC | Iron (III) ABC transporter ATP-binding protein | HitABC |
| VFG000442 | Chrom1_005063, Chrom1_000723 | rck | Resistance to complement killing | Rck |
| VFG000449 | Chrom1_004801 | fimZ | Fimbrial protein Z | Type 1 fimbriae |
ACF = Accessory colonization factor, Alginate = Alginate biosynthesis protein AlgZ/FimS, ClpP = ATP-dependent Clp protease proteolytic subunit, ClpC = Endopeptidase Clp ATP-binding chain C, HitABC = Iron (III) ABC transporter system, LPS = Lipopolysaccharide, Pyoverdine = Pyoverdine biosynthesis system, Rck = Resistance to complement killing protein, XCP secretion system = General secretion pathway protein system, Type 1 fimbriae = Fimbrial protein Z.
Blastp analysis against the CARD identified 247 ARO terms (Table 4). Comprehensive analysis of the antibiotic resistance database revealed that the HYCQ01 strain harbored 32 types of antibiotic resistance, including macrolide, TCY, Cephalosporin, Carbapenem, Lincosamide, Penem, Sulfonamide, β-lactam, and vancomycin antibiotics. The isolate HYCQ01 harbored 152 antibiotic resistance genes, including 10 TCY resistance genes, 16 vancomycin resistance genes, 5 macrolide resistance genes, such as Erm (34), emrA, and emrB, β-lactam resistance genes Omp A and Omp K37, a sulfonamide resistance gene sul-4, the AMP resistance gene Tem-1, which was a primary cause of AMP resistance in
Table 4. Annotated results of the drug resistance function.
| CARD | GeneID | ARO name | Gene family | Resistance mechanism |
|---|---|---|---|---|
| ARO:3000024 | Chrom1_003084, Chrom1_003215, Chrom1_002910 | patA | ATP-binding cassette antibiotic efflux pump | Antibiotic efflux |
| ARO:3000025 | Chrom1_003384, Chrom1_002251, Chrom1_004631, Chrom1_002842 | patB | ABC antibiotic efflux pump | Antibiotic efflux |
| ARO:3000027 | Chrom1_002259 | emrA | Major facilitator superfamily antibiotic efflux pump | Antibiotic efflux |
| ARO:3000074 | Chrom1_002260 | emrB | MFS antibiotic efflux pump | Antibiotic efflux |
| ARO:3000167 | Plasmid1_005351 | tet(C) | MFS antibiotic efflux pump | Antibiotic efflux |
| ARO:3000191 | Chrom1_002120 | tet(Q) | Tetracycline-resistant ribosomal protection protein | Antibiotic target protection |
| ARO:3000195 | Chrom1_002965 | tetB(P) | Tetracycline-resistant ribosomal protection protein | Antibiotic target protection |
| ARO:3000237 | Chrom1_002675 | TolC | ABC, MFS, and RND antibiotic efflux pumps | Antibiotic efflux |
| ARO:3000254 | Chrom1_001507, Chrom1_001918 | emrY | MFS antibiotic efflux pump | Antibiotic efflux |
| ARO:3000263 | Chrom1_000905 | marA | General bacterial porin with reduced permeability to β-lactams; RND antibiotic efflux pump | Antibiotic efflux, reduced permeability to antibiotics |
| ARO:3000499 | Chrom1_005128 | AcrE | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000504 | Chrom1_004756, Chrom1_002931 | golS | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000508 | Chrom1_000872, Chrom1_004803, Chrom1_003792, Chrom1_003152 | gadX | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000516 | Chrom1_002257 | emrR | MFS antibiotic efflux pump | Antibiotic efflux |
| ARO:3000518 | Chrom1_002983 | CRP | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000535 | Chrom1_001647, Chrom1_005129, Chrom1_003111 | macB | ABC antibiotic efflux pump | Antibiotic efflux |
| ARO:3000561 | Chrom1_004689 | Tet(30) | MFS antibiotic efflux pump | Antibiotic efflux |
| ARO:3000600 | Chrom1_004226 | Erm(34) | Erm 23S ribosomal RNA methyltransferase | Antibiotic target alteration |
| ARO:3000617 | Chrom1_004260 | mecA | Methicillin-resistant PBP2 | Antibiotic target replacement |
| ARO:3000620 | Chrom1_003157, Chrom1_004387 | adeL | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000656 | Chrom1_004731, Chrom1_002903 | AcrS | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000676 | Chrom1_000533, Chrom1_002190 | H-NS | MFS and RND antibiotic efflux pumps | Antibiotic efflux |
| ARO:3000774 | Chrom1_004818 | adeA | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000778 | Chrom1_002882 | adeG | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000781 | Chrom1_002014 | adeJ | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000784 | Chrom1_004819 | cmeB | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000792 | Chrom1_001504 | mdtA | RND antibiotic efflux pump | Antibiotic efflux |
| ARO:3000803 | Chrom1_002904 | MexE | RND antibiotic efflux pump | Antibiotic efflux |
Analysis of the gene sequence of the HYCQ01 strain by Blastp revealed 58 ARGs, distributed across 12 types and 47 subtypes. The results are shown in Table 5.
Table 5. Results of resistance gene annotation.
| SARG | GeneID | Subtype | Type |
|---|---|---|---|
| AAC60780 | Chrom1_004222 | Fosmidomycin_RosB | Fosmidomycin |
| AAC75243 | Chrom1_001701 | Multidrug_Bicyclomycin-Multidrug_Efflux_ Protein_Bcr | Multidrug |
| AAC76696 | Chrom1_003331 | Multidrug_EmrD | Multidrug |
| AB158573.p01 gene | Chrom1_004872 | Unclassified_RpsD_(Rama_or_Sud2) | Unclassified |
| ABB53349 | Chrom1_000322 | Vancomycin_VanR | Vancomycin |
| ACB17952 | Chrom1_003149 | Multidrug_MdtE | Multidrug |
| ACR66838 | Chrom1_004223 | Trimethoprim_DfrA21 | Trimethoprim |
| AF024666.2.gene33.p01 | Chrom1_001067 | Chloramphenicol_Chloramphenicol exporter | Chloramphenicol |
| AF162694.1.gene4.p01 | Chrom1_003732 | Vancomycin_VanT | Vancomycin |
| AF336096.1.gene1.p01 | Chrom1_001733, Chrom1_000737 | Multidrug_Omp36 | Multidrug |
| AF336097.1.gene1.p01 | Chrom1_000362 | Multidrug_Omp36 | Multidrug |
| AJ459418.gene.p01 | Chrom1_002824 | Sulfonamide_Sul3 | Sulfonamide |
| AY082011.1.gene2.p1 | Chrom1_001212 | Vancomycin_VanS | Vancomycin |
| AY463797.7.gene28.p01 | Plasmid1_005351 | Tetracycline_TetA | Tetracycline |
| BAH64410 | Chrom1_001071 | Multidrug_Bicyclomycin-Multidrug_Efflux_ Protein_Bcr | Multidrug |
| CP000034.1.gene3672.p01 | Chrom1_003031 | Multidrug_OmpR | Multidrug |
| CP000034.1.gene4477.p01 | Chrom1_001334, Chrom1_001920 | Unclassified_Bacterial regulatory protein LuxR | Unclassified |
| CP001138.1.gene4273.p01 | Chrom1_003032 | Unclassified_Transcriptional regulatory protein CpxR | Unclassified |
| CP001485.1.gene721.p01 | Chrom1_001710 | Unclassified_Transcriptional regulatory protein CpxR | Unclassified |
| CP001581.1.gene3143.p01 | Chrom1_002066 | Chloramphenicol and florfenicol resistance gene | Chloramphenicol |
SARG = Structured antibiotic resistance gene database.
Based on the results of homologous gene and genome-wide SNP analyses, different phylogenetic trees (core gene tree and SNP tree) were constructed by neighbor-joining clustering with the single-copy gene set of the core gene set and the whole-genome-based SNP loci, respectively. The HYCQ01 strain shared the closest homology with
Figure 4. Construction and analysis of the phylogenetic tree. (A) Phylogenetic trees based on single-copy gene sets. (B) Phylogenetic tree based on whole-genome SNP loci.
Pathogenicity assay
The pathogenicity assay was performed in mice to demonstrate the pathogenicity of the HYCQ01 strain. Mice injected with the bacterial suspension exhibited symptoms of lethargy, agitation, and eye closure within 4 h, with progressive mortality commencing at 12 h post-inoculation. All experimental mice died within 27 h. No clinical abnormalities or deaths were observed in the control group (Figure 5). The results demonstrate that HYCQ01 exhibits significant pathogenicity and lethality.
Figure 5. Survival rate of HYCQ01-infected mice. Data are expressed as means ± standard error of the mean of six mice per group. ****p < 0.0001 vs. control group.
After all mice had died, we dissected them and found that the jejunum was congested and swollen. Pathological examination of the heart, jejunum, kidneys, liver, lungs, and spleen revealed splenic white pulp atrophy, necrosis, and congestion, whereas mucosal epithelial cell necrosis and villi loss were observed in the jejunum (Figure 6). These data indicate that HYCQ01 is highly toxic and can cause severe tissue damage.
Figure 6. Hematoxylin and eosin staining results in HYCQ01-infected mice. H&E-stained images of the heart, jejunum, kidney, liver, lung, and spleen showing pathological changes. Scale bar: 50 μm.
DISCUSSION
Primary pathogenic bacterium causing diarrhea in yak calves on the Qinghai-Tibet Plateau
Adaptation of MDR E. coli to the distinctive habitat of the Qinghai-Tibet Plateau
This investigation performed a detailed characterization of MDR
Historical patterns of antibiotic utilization on the Qinghai-Tibet Plateau serve as the primary driver of this resistance phenotype [21, 22]. Resistance genes harbored by the isolates exhibited strong concordance with observed phenotypic resistance. Resistance to β-lactams was predominantly mediated by the
Intrinsic tolerance mechanisms elicited by extreme plateau environmental stressors furnish a foundational evolutionary substrate for acquired resistance [24, 25]. A salient feature of this strain is its encoding of a highly complex and stringently regulated multidrug efflux system (e.g., AcrAB-TolC, Mdt series), modulated by global regulators such as
Pathogenic mechanisms of a hybrid MDR E. coli strain from the Qinghai-Tibet Plateau
As a major constituent of the gut microbiota,
Although phylogenetically proximate to enterotoxigenic
Recommendations for prevention and control
The multifaceted attributes of “MDR–environmental adaptability–pathogenic potential” manifested by HYCQ01 carry profound implications for the sustainability of plateau animal husbandry and broader “One Health” public health concerns. Drawing from these results, the following prevention and control strategies are proposed for yak farming on the Qinghai-Tibet Plateau:
Optimize antimicrobial stewardship in clinical practice. Precise antimicrobial selection informed by regional resistance patterns should be prioritized. The HYCQ01 resistance profile mirrors local selective pressures in animal husbandry. Continuous surveillance-based updates to antibiotic utilization guidelines are recommended, with restriction or rotation of agents exhibiting emergent high level resistance (e.g., β-lactams, macrolides) to mitigate source-level selection. Beyond conventional
Prioritize surveillance of mobile genetic elements and vaccine target identification. In parallel with bacterial monitoring, high-risk mobile elements should be tracked [44, 45]. Core colonization factors (e.g., F17 pili) and virulence apparatuses (e.g., T3SS) warrant evaluation as vaccine candidates to provide supplementary control avenues.
Establish a “pasture–environment” antimicrobial resistance genomic surveillance network. Multi-site genomic monitoring encompassing pastures, soil, and aquatic systems is essential to forestall dissemination of this “resistance-virulence reservoir” via hydrological and ecological pathways. Tracking transmission dynamics of key genetic markers, assessing spillover risks to environmental and human compartments, and implementing early warning systems are critical.
Limitations
Yak husbandry in Huangyuan County, Qinghai Province, predominantly follows nomadic patterns with extensive herd mobility, impeding systematic collection of extensive clinical specimens. Despite maximal implementation of spatially distributed sampling, the constrained sample volume limits extrapolation of findings. Future efforts should incrementally increase sample sizes through prolonged sampling durations, collaboration with herder networks, and adoption of longitudinal dynamic tracking. Long-term cohort monitoring will enable a more robust elucidation of pathogen population dynamics, antimicrobial resistance evolution, and transmission patterns in diarrheic yak calves within this region.
CONCLUSION
This investigation identified MDR
The emergence of hybrid MDR
This research integrates phenotypic, genomic, and in vivo pathogenicity analyses to provide a comprehensive characterization of MDR
The nomadic nature of yak farming in Huangyuan County restricted sample collection to 12 specimens, potentially limiting generalizability across the broader Qinghai-Tibet Plateau. Reliance on a single MDR strain (HYCQ01) for in-depth genomic and pathogenicity studies may not fully capture intraspecies variability. Additionally, the in vivo model employed mice, which, while informative, may not perfectly recapitulate yak-specific host-pathogen dynamics.
Future investigations should expand sample sizes through longitudinal tracking and herder collaborations to elucidate pathogen population structures and transmission dynamics. Comparative genomics across plateau regions could identify additional hybrid strains and horizontal gene transfer hotspots. Exploring non-antibiotic interventions, such as Cy7-CH3-based probes for rapid resistance detection [38] or berberine-probiotic combinations [42], warrants evaluation in field trials. Integrating metagenomics to assess environmental reservoirs of resistance genes would further inform One Health strategies [44, 45].
In summary, MDR
DATA AVAILABILITY
The data used to support the findings of this study are included within the manuscript. Meanwhile, the WGS and assembly results are deposited at the National Center for Biotechnology Information under accession number: PRJNA1289237.
AUTHORS’ CONTRIBUTIONS
QC and BCH: Conceived and designed the study. CJC, BW, QL, and PXB: Sample collection, library preparation, and detection work. QC and DW: Designed the computational framework, analysis, and performed data processing, statistical analysis, interpretation of results and drafted the manuscript. SYW and BCH: Supervised the study, interpreted the results, and drafted and revised the manuscript. All authors have read and approved the final version of the manuscript.
COMPETING INTERESTS
The authors declare that they have no competing interests.
PUBLISHER’S NOTE
Veterinary World remains neutral with regard to jurisdictional claims in the published institutional affiliations.
ACKNOWLEDGMENTS
This work is supported by grants from the National Key R&D Program of China (No. 2023YFD1801304), Key Research and Development Plan of Gansu Province (No. 26YFNA028), the Provincial Talent Project for Personal Program of Gansu Province (No.2025QNGR59), and Chinese Academy of Agricultural Sciences Innovative Project Veterinary Natural Medicine (No. 25-LZIHPS-03).
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