Transmission of tmexCD1-toprJ1-Positive Klebsiella pneumoniae Across Multiple Ecological Niches: A Global Epidemiological and Genomic Analysis

Luchao Lv , Xun Gao , Chengzhen Wang , Guolong Gao , Jie Yang , Miao Wan , Zhongpeng Cai , Sheng Chen , Jing Wang , Chuying Liang , Chao Yue , Litao Lu , Zhiyong Zong , Jian-Hua Liu

Engineering ›› 2025, Vol. 53 ›› Issue (10) : 245 -258.

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Engineering ›› 2025, Vol. 53 ›› Issue (10) :245 -258. DOI: 10.1016/j.eng.2025.03.038
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Transmission of tmexCD1-toprJ1-Positive Klebsiella pneumoniae Across Multiple Ecological Niches: A Global Epidemiological and Genomic Analysis
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Abstract

Tigecycline is one of the most critical drugs for treating Gram-negative bacterial infections; however, the emergence of the tigecycline resistance efflux pump TMexCD1-TOprJ1 poses a global health threat. The evolutionary relationships and epidemiological trends of tmexCD1-toprJ1-positive strains across various ecological niches remain largely unexplored. In this study, we employed whole-genome sequencing (WGS) of tmexCD1-toprJ1-positive bacteria from humans, food, animals, and the environment in China to assess the epidemiological and genomic features of these strains, analyzing both newly collected strains and data from the GenBank database. From 3 434 samples collected during 2019–2022, 145 tmexCD1-toprJ1-carrying strains (4.5%) were isolated. The majority of the tmexCD1-toprJ1-positive Enterobacterales exhibited resistance to nearly all antimicrobials, including colistin (42.13%). tmexCD1-toprJ1 was predominantly identified in Klebsiella pneumoniae (K. pneumoniae) from chicken feces in China but was also detected in multiple ecological niches and other countries. Phylogenetic analysis revealed the clonal transmission of tmexCD1-toprJ1-positive ST37 K. pneumoniae across diverse ecological niches as well as the international spread of the ST15 K. pneumoniae clone-producing TMexCD1-TOprJ1. tmexCD1-toprJ1 is mainly carried by Klebsiella spp. specific narrow host range plasmids, which may limit the spread of tmexCD1-toprJ1 across different bacterial species. Notably, due to the fitness cost posed by tmexCD1-toprJ1, the occurrence of tmexCD1-toprJ1-positive Enterobacterales in both food animals and humans in China has declined significantly following the withdrawal of antibiotics as growth promoters in food animals in China since 2020. However, tmexCD1-toprJ1 has been captured by broad-host-range plasmids and hypervirulent carbapenem-resistant K. pneumoniae ST11-KL64 strains in healthcare settings. The frequent use of tetracyclines in chicken farming likely contributes to the high detection rate of tmexCD1-toprJ1; therefore, to reduce the threat of tmexCD1-toprJ1-positive K. pneumoniae, continuous monitoring of tmexCD1-toprJ1 across different ecological niches and strict enforcement of antimicrobial policies in animal husbandry, particularly in the poultry industry, are urgently required.

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Keywords

tmexCD1-toprJ1 / Tigecycline resistance / Klebsiella pneumoniae / Epidemiology

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Luchao Lv, Xun Gao, Chengzhen Wang, Guolong Gao, Jie Yang, Miao Wan, Zhongpeng Cai, Sheng Chen, Jing Wang, Chuying Liang, Chao Yue, Litao Lu, Zhiyong Zong, Jian-Hua Liu. Transmission of tmexCD1-toprJ1-Positive Klebsiella pneumoniae Across Multiple Ecological Niches: A Global Epidemiological and Genomic Analysis. Engineering, 2025, 53(10): 245-258 DOI:10.1016/j.eng.2025.03.038

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1. Introduction

An increase in antimicrobial resistance (AMR) poses a significant challenge to global public health. The emerging resistance to carbapenems is particularly concerning because these agents are frequently considered the last line of effective therapy for infections caused by multidrug-resistant (MDR) Gram-negative bacteria. Due to a lack of effective treatment options, carbapenem-resistant Enterobacterales (CREs) have been classified as critical pathogens by the World Health Organization (WHO) [1]. Carbapenem-resistant Klebsiella pneumoniae (K. pneumoniae, CRKP) is the most frequently occurring CRE, and it significantly contributes to the global disease burden [2,3]. The pooled mortality rate associated with CRKP infections ranges from 24.2% to 33% [4,5]. In Europe alone, extended-spectrum beta-lactamases (ESBLs) and CRKP account for over 90 000 infections and over 7 000 deaths annually [3]. In China, the prevalence of carbapenem resistance in K. pneumoniae rose from 2.9% in 2005 to 26.0% in 2023 (China Antimicrobial Surveillance Network, CHINET), leading to untreatable nosocomial infections with mortality risks as high as 55.8% [6]. Consequently, treating K. pneumoniae infections with antimicrobial agents is becoming increasingly difficult, and the optimal therapeutic strategies remain unclear. Colistin and tigecycline are currently among the few antibiotics available for critically ill patients with CRKP infections [[7], [8], [9]]. However, the recent discovery of the plasmid-mediated colistin resistance gene mcr-1 poses a significant threat to the clinical utility of colistin for treating these infections, leaving tigecycline as one of the only remaining treatment options.

Tigecycline, the first drug in the glycylcycline class of antibiotics, is classified as a critically important antimicrobial and reserve drug on the WHO List of Medically Important Antimicrobials and the WHO AWaRe classification list [10,11]. Therefore, the emergence of tigecycline resistance is a growing concern. Prior to 2019, the mechanisms of tigecycline resistance in Gram-negative bacteria were primarily linked to the overexpression of chromosomal efflux systems, mutations in ribosomal binding sites, and tet(A) mutations [[12], [13], [14], [15]]. However, recently, two novel plasmid-mediated mechanisms of tigecycline resistance have surfaced: tetracycline-degrading enzymes (Tet(X) variants) and the resistance-nodulation-cell division (RND) efflux system (TMexCD1-TOprJ1). These mechanisms were first identified in bacteria of animal origin, and they pose a significant threat to the efficacy of tigecycline against infections caused by K. pneumoniae [7,9,16]. Unlike Tet(X) variants, which hydrolyze only tetracycline and are common in Escherichia coli and Acinetobacter spp. [7,9,17], TMexCD1-TOprJ1 can confer resistance to all tetracyclines and several other critical antimicrobials, including quinolones, cephalosporins, and aminoglycosides, primarily within K. pneumoniae [16,18]. To date, six plasmid-borne tmexCD-toprJ-like gene clusters have been identified, with tmexCD1-toprJ1 conferring the highest level of tigecycline resistance, increasing minimum inhibitory concentrations (MICs) by 16–32-fold. In contrast, the other clusters only increased the MICs by 4–8-fold [[19], [20], [21], [22], [23], [24], [25]].

Antimicrobial resistance gene (ARG) transmission occurs via clonal strains or mobile genetic elements between humans, animals, food, and the environment [26]. Once certain ARGs have emerged in animals or humans, they can spread to various ecological niches. Given the clinical importance of tigecycline and the health risks posed by K. pneumoniae, the emergence of TMexCD1-TOprJ1-producing K. pneumoniae in food animals has gained significant attention. Epidemiological data indicate that TMexCD1-TOprJ1 is primarily found in food animals, particularly in chicken farms in China, but it has also been detected in human, food, and environmental samples [16,[27], [28], [29], [30], [31], [32]]. Therefore, understanding the transmission patterns of tmexCD1-toprJ1 across ecosystems and the evolutionary characteristics of its transmission vectors is crucial. However, to date, no large-scale molecular epidemiological studies have been conducted on tmexCD1-toprJ1.

In this study, we conducted the first nationwide surveillance of tmexCD1-toprJ1-positive isolates from various ecological niches, including farm animals, environments, retail meat, and humans in China. In addition, we included whole-genome sequences of tmexCD1-toprJ1-positive strains from GenBank for analysis. Our findings revealed severe multidrug resistance among tmexCD1-toprJ1-positive bacteria, with evidence of clonal transmission in both humans and chickens, including international transmission. Further, we observed a significant decline in the prevalence of tmexCD1-toprJ1 from 2018 to 2022, which correlates with the implementation of policies restricting the use of antimicrobials as growth promoters in food animals in China.

2. Materials and methods

2.1. Sample collection and bacterial isolation

From September 2019 to December 2022, 3 434 samples were collected from seven provinces (Fujian, Guangdong, Henan, Hunan, Shandong, Sichuan, and Zhejiang), two autonomous regions (Guangxi, Xinjiang), and one municipality (Shanghai) of China (Table S1 in Appendix A). The samples were recovered from chicken feces (n = 1261), slaughtered chicken feces (n = 419), duck feces (n = 255), swine feces (n = 819), retail chicken meat (n = 59), pork (n = 113), chicken farm environments (n = 128), other environments (farmers’ markets, schools, or stations) (n = 180), goose feces (n = 60), and vegetables (n = 140) (Table S1). All of the tigecycline-nonsusceptible isolates were screened on MacConkey plates supplemented with 4 mg∙L−1 tigecycline. tmexCD1-toprJ1-positive isolates were detected via polymerase chain reaction (PCR) and further confirmed through Sanger sequencing (Tsingke Biotechnology, China) with previously reported primers [16]. The bacterial species of the isolates were determined using Bruker MALDI Biotyper (Bruker Daltonik GmbH, Germany) and 16S ribosomal DNA (rDNA) sequencing.

In addition, six tmexCD1-toprJ1-positive Klebsiella spp. isolates of human origin were collected from West China Hospital in Sichuan, China. These clinical isolates were obtained from samples collected during routine care for patients with infections. Patients consented to the care provided by the hospital and its staff, which included sample collection for infection management. Further, 455 tmexCD1-toprJ1-carrying isolates, including two from humans, 376 from chicken feces, nine from chicken meat, 25 from farm environments, and 11 from pork, obtained in our prior study [16], were also included in this study. We collected 1180 pig fecal samples from 21 pig farms (Table S2 in Appendix A) and 1702 chicken fecal samples from 29 chicken farms (Table S3 in Appendix A) in China in 2022 in order to determine the colonization rate of K. pneumoniae in the intestines of chickens and swine. The samples were inoculated on MacConkey agar, and colonies with different morphologies were selected from the agar for strain identification using Bruker MALDI Biotyper (Bruker Daltonik GmbH).

2.2. Antimicrobial susceptibility testing

The MICs of 13 antimicrobials, namely, imipenem, ceftazidime, cefotaxime, cefoxitin, ciprofloxacin, tigecycline, doxycycline, tetracycline, colistin, florfenicol, amikacin, gentamicin, and sulfamethoxazole-trimethoprim, were determined using the agar dilution or broth microdilution method (for tigecycline and colistin), with Escherichia coli (E. coli) ATCC 25922 serving as the quality control, in accordance with the standards outlined in the Clinical and Laboratory Standards Institute (CLSI) document M100, 31st Edition [33]. The agar dilution method was performed as follows: first, intermediate (10×) antimicrobial agent solution was prepared, typically at 640–1280 times the breakpoint concentration (e.g., 2560–5120 µg∙mL−1), by performing serial two-fold dilutions; next, one part of the intermediate (10×) antimicrobial agent solution was combined with nine parts of molten agar (e.g., 2 mL of antimicrobial agent solution to 18 mL of molten Mueller–Hinton agar), before adding appropriate dilutions of the antimicrobial agent solution to the molten Mueller-Hinton agar and ensuring thorough mixing before pouring it into Petri dishes to form agar plates. For tigecycline and colistin, self-prepared 96-well microdilution plates were used for MIC determination. Briefly, 100-μL Mueller–Hinton broth (MH broth) was added to each well of a 96-well plate. The stock solution of antimicrobial agent (tigecycline or colistin) was added to the first well using a two-fold serial dilution method, ensuring an equal volume of stock solution and broth (e.g., 100 μL of MH broth and 100 μL of stock solution in the first well), before thoroughly mixing the contents of each well. The remaining dilutions were completed by transferring the necessary volumes using a pipette. Three replicates were performed for each antimicrobial agent. Every plate included a growth control (broth with E. coli ATCC 25922 but no antimicrobial agent) and a sterility control (broth alone). The CLSI breakpoints were used to interpret the susceptibility results for most antimicrobial agents, except for tigecycline, for which the European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoint was applied.

2.3. Conjugation assay and plasmid stability

The transferability of tmexCD1-toprJ1-carrying plasmids was evaluated via conjugation using sodium azide-resistant E. coli J53 as recipient. The transfer frequencies were calculated as the number of transconjugants per recipient. A plasmid stability assay was performed as previously described [34]. In brief, a single clone of the tmexCD1-toprJ1-positive strain was grown in Luria-Bertani (LB) broth, followed by serial passage every day at a 1:1000 dilution in LB broth for 15 days. The plasmid stability of the passaged bacteria was tested every two days. The stability of the tmexCD1-toprJ1-bearing plasmids was evaluated by dividing the number of colonies positive for the tmexCD1-toprJ1-bearing plasmid by the total number of colonies growing on antibiotic-free plates.

In vitro competition experiments were conducted using tmexCD1-toprJ1 transconjugants (E. coli J53 and K. pneumoniae AH58I) alongside their corresponding recipient strains [35]. The transconjugants and recipients were mixed at a 1:1 ratio, and every 24 h, the mixed bacterial culture was inoculated into 10 mL of fresh LB broth at a 1:100 ratio for a total of 96 h. At 24, 48, 72, and 96 h, 100 μL of the mixed bacterial culture was collected, serially diluted, and plated onto LB agar plates. After incubation for 16–20 h, PCR was used to amplify tmexCD1-toprJ1 for colony counting. The relative fitness (RF) of the strains was calculated using the formula RF = ln (Nf,S1/Ni,S1)/ln (Nf,S2/Ni,S2), where Nf,S1 and Ni,S1 represent the colony counts of recipient strain S1 and tmexCD1-toprJ1 transconjugant S2 at 0 and 96 h, respectively.

2.4. Whole-genome sequencing (WGS) and bioinformatics analysis

The genomic DNA of 271 tmexCD1-toprJ1-positive isolates (95 from this study, and 176 from prior studies [16]), including 206 from chickens, 19 from chicken farms, 11 from chicken meat, ten from humans, eight from duck feces, eight from pork, seven from other environments (farmer’s market environments), one from a goose feces, and one from a vegetable, was sequenced using the Illumina NovaSeq 6000 platform (Illumina, USA). The trimmed sequence reads were assembled using SPAdes [36] (v3.15.2; parameters: --careful --phred-offset 33 --cov-cutoff auto -k 21,31,55,77,99,127). The 271 tmexCD1-toprJ1-positive bacteria were selected based on the principle that approximately one-third to one-half of the isolates collected from poultry farm environments and chicken feces were randomly selected for sequencing, while almost all of the isolates obtained from other sources were sequenced. Fifty-five representative isolates (selected based on isolation source, location, species, and multilocus sequence typing (MLST)) were chosen for long-read sequencing via Nanopore MinION R10 (Oxford Nanopore Technologies, UK) or the QNome-3841 platform (QitanTech, China) in order to reveal the genetic features of these isolates. Illumina short reads and nanopore long reads were combined to obtain hybrid assembly data using Unicycler [37] (v0.4.8; parameters: --keep 0; --mode conservative) under conservative mode for increased accuracy. The genome sequences were annotated using bakta v1.5.1 [38].

ARGs, virulence factors, and plasmid replicons were identified using the Resfinder, VFDB, and PlasmidFinder databases, respectively, via Abricate v0.9.8 (--min-id 99 --min-cov 50). The species, MLST, wzi allele, and O and K serotypes were identified using Kleobrate v2.1.0 [39]. Heavy metal resistance genes were identified using the AMRFinderPlus [40]. The tmexCD1-toprJ1-carrying plasmids were further compared and analyzed using the BLAST Ring Image Generator (BRIG). ISfinder, Gene Construction Kit v4.5 (Textco BioSoftware, Inc., USA), and Easyfig were used to analyze the MDR regions of plasmids and the genetic context of tmexCD1-toprJ1 [41]. The correlation between plasmid replicon types and ARGs was determined using the Pearson’s correlation coefficient. The Mantel test was used to assess the correlation between plasmid replicon types, AMRs, and tmexCD1-toprJ1 genetic types. Pearson’s correlation analysis and the Mantel test were performed and visualized using the “vegan” and “LinkET” packages in R v4.3.0 (R Foundation for Statistical Computing, Austria).

In addition, to compare the number of acquired ARGs in blaNDM-positive and blaKPC-positive K. pneumoniae with that in tmexCD1-toprJ1-positive K. pneumoniae strains, we performed a search in the National Database of Antibiotic Resistant Organisms (NDARO) using the keywords “AMR_genotypes: blaNDM* AND taxgroup_name: Klebsiella pneumoniae AND epi_type: clinical” and “AMR_genotypes: blaKPC* AND taxgroup_name: Klebsiella pneumoniae AND epi_type: clinical”. A total of 5 597 blaNDM and 15 534 blaKPC genomic datasets were returned from the NDARO database.

2.5. Search for tmexCD1-toprJ1 in GenBank

We collected tmexCD1-toprJ1-containing genomic sequences from the NCBI GenBank database in several ways in order to investigate the global prevalence of tmexCD1-toprJ1. First, a BLASTn search of the nucleotide (NT) database was performed to obtain strain sequences containing tmexC1 or tmexD1 with ≥ 99% identity prior to January 1, 2024. Second, genome data from the NCBI Assembly database were downloaded (January 2024) with “Enterobacterales” annotation in GenBank. Next, tmexCD1-carrying genome data were collected by searching tmexC1-tmexD1 nucleotide sequences with ≥ 99% identity via Abricate (--min-id 99 --min-cov 50). In addition, the NDARO was searched for tmexCD1-toprJ1-carrying strains. For all of the tmexCD1-toprJ1-containing sequences, basic information on the corresponding strains, including isolation sources, dates, and cities, was collected.

Further, we employed MLST software to retrieve the genomes of 960 ST37-type K. pneumoniae strains from the “Enterobacterales” dataset.

2.6. Phylogenetic analyses

Core genome single-nucleotide polymorphisms (SNPs) between different strains were analyzed using snippy 4.6.0 to determine the transmission routes of the tmexCD1-toprJ1 gene cluster. A pairwise SNP matrix was generated using snp-dists. Core-genome SNP-based neighbor-joining phylogenetic trees were constructed for tmexCD1-toprJ1-positive K. pneumoniae using Parsnp 1.5.3 [42]. Clustering of tmexCD1-toprJ1-positive K. pneumoniae was examined using hierarchical Bayesian analysis of population structure (hierBAPS) [43]. Interactive tree of life (iTOL) was used to manage and visualize the trees [44]. A minimum spanning tree of all of the sequence types (STs) was constructed using BioNumerics software v7.6 (Applied Maths, Belgium).

3. Results

3.1. Prevalence and characterization of tmexCD1-toprJ1-positive isolates

From November 2019 to December 2022, a total of 145 (4.2%) tmexCD1-toprJ1-positive isolates that were obtained from 3434 samples collected in China (Fig. 1). The highest isolation rates were observed in chicken farm environments (14.1%, n = 18) and chicken feces (7.0%, n = 88), followed by chicken meat samples (6.8%, n = 4), duck feces (5.1%, n = 13), fecal samples from slaughtered chickens (3.8%, n = 16), other environmental samples (1.7%, n = 3), goose feces (1.7%, n = 1), pork samples (0.9%, n = 1), and vegetable samples (0.7%, n = 1). No tmexCD1-toprJ1-positive isolates were detected in pig fecal samples (Fig. 2(a) and Table S1). In addition, we retrieved the genomes of eight human tmexCD1-toprJ1-positive strains from our local database. In summary, a total of 153 isolates were identified, including K. pneumoniae (n = 144), K. variicola (n = 1), K. quasipneumoniae (n = 4), K. michiganensis (n = 2), or K. oxytoca (n = 2) (Table S4 in Appendix A).

There were 240 tmexCD1-toprJ1-containing genomic DNA sequences that were obtained from the GenBank database (accession numbers are provided in Table S5 in Appendix A). Among these strains, 230 were collected from China, and three strains were collected from Japan, three from Vietnam, two from Kenya, one from Republic of Korea, and one from Thailand (Fig. S1 in Appendix A). The tmexCD1-toprJ1-positive isolates were identified from various sources, including humans (n = 92), chicken feces (n = 84), swine feces and pig carcasses (n = 49), environmental samples (n = 9), duck feces (n = 3), flies (n = 2), pork (n = 1), and dogs (n = 1). A total of eight bacterial species were identified, including K. pneumoniae (n = 198), E. coli (n = 8), K. quasipneumoniae (n = 27), K. similipneumoniae (n = 2), Raoultella ornithinolytica (R. ornithinolytica, n = 2), R. planticola (n = 1), Enterobacter hormaechei (E. hormaechei, n = 1), and Citrobacter youngae (C. youngae, n = 1) (Table S4). All ten of the tmexCD1-toprJ1-positive strains collected from Japan, Republic of Korea, Vietnam, Kenya, and Thailand were identified as K. pneumoniae strains of human origin.

We also included 455 tmexCD1-toprJ1-positive Enterobacterales strains from our prior studies, comprising K. pneumoniae (n = 423), K. oxytoca (n = 22), R. planticola (n = 5), K. variicola (n = 2), K. quasipneumoniae (n = 1), C. portucalensis (n = 1), and R. ornithinolytica (n = 1) (Table S4). Thus, 848 tmexCD1-toprJ1-positive strains were analyzed in this study (Fig. S1), including 765 (90.2%) K. pneumoniae, 34 (4.0%) K. quasipneumoniae, 24 (2.8%) K. oxytoca, eight (0.9%) E. coli, six (0.7%) R. planticola, three (0.4%) K. variicola, three (0.4%) R. ornithinolytica, two (0.2%) K. michiganensis, one C. youngae, one C. portucalensis, and one E. hormaechei (Fig. 2(b) and Table S4). Among the 848 tmexCD1-toprJ1-positive strains, 102 isolates were collected from human samples, including blood (n = 24), urine (n = 16), sputum (n = 15), secretions (n = 5), tissue (n = 4), intestinal samples (n = 4), feces (n = 3), bronchoalveolar lavage fluid (n = 3), rectal swabs (n = 2), bile (n = 2), dialysate (n = 1), shunt fluid (n = 1), alveolar lavage (n = 1), and unknown samples (n = 21). Six bacterial species were identified among the human-derived isolates, including 93 K. pneumoniae, three K. quasipneumoniae, two K. michiganensis, two K. oxytoca, one C. youngae, and one E. cloacae (Tables S4–S6 in Appendix A). The majority of the tmexCD1-toprJ1-positive isolates were identified after 2016, with the earliest clinical isolates found in China in 2009. From 2009 to 2021, the number of human-derived tmexCD1-toprJ1-positive isolates showed an increasing trend, peaking in 2021 and then declining (Fig. 2(c)). The earliest isolates of chicken and swine originated from 2013 and 2019, respectively (Table S5). Combining the data from this study with our previous research, we found that from 2018 to 2022, the detection rate of chicken-derived tmexCD1-toprJ1-positive isolates decreased significantly, from 57.9% to 0 (Fig. 2(d)).

Given that both this study and prior research indicated a prevalence of tmexCD1-toprJ1 in chicken farms, a scarcity of positive bacteria from pigs, and that tmexCD1-toprJ1 is primarily carried by K. pneumoniae, we hypothesized that the low carriage of tmexCD1-toprJ1-positive bacteria in swine may be related to the low colonization of K. pneumoniae in the intestines of pigs. To investigate this, we compared the detection rates of K. pneumoniae in pig and chicken fecal samples collected from different farms in China. We found that the carriage rate of K. pneumoniae in swine feces (1.4%, 16/1 180) was significantly lower than that in chickens (15.1%, 257/1 702) (Tables S2 and S3).

3.2. Antimicrobial susceptibility profiles of tmexCD1-toprJ1 strains

The MICs against 13 antimicrobials were determined for 608 tmexCD1-toprJ1-positive strains (153 from this study and 455 from previous studies). The results revealed that all of the tmexCD1-toprJ1-carrying isolates were resistant to tetracyclines (tigecycline, doxycycline, and tetracycline) and exhibited MDR profiles, including 99.7% for sulfamethoxazole-trimethoprim, 98.0% for ciprofloxacin, 96.3% for florfenicol, 88.4% for gentamicin, 84.7% for amikacin, 81.5% for cefoxitin, 68.5% for cefotaxime, and 58.8% for ceftazidime (Fig. 3(a)). Notably, 285 (47.3%) and 13 (2.1%) strains were resistant to colistin and imipenem, respectively, with 185 (30.8%) strains exhibiting a high level of resistance to colistin (MIC ≥ 32 mg∙L−1) (Fig. 3(b)). All of the strains were tigecycline-resistant, with more than 81.7% of the isolates having an MIC greater than 8 μg∙mL−1 (Fig. 3(c)).

3.3. Genomic characteristics of tmexCD1-toprJ1-positive strains

The genomes of 511 tmexCD1-toprJ1-positive strains (448 K. pneumoniae strains and 63 other Enterobacterales) were analyzed in this study, including 240 strains derived from GenBank and 271 strains (250 K. pneumoniae, seven K. oxytoca, five R. planticola, three K. quasipneumoniae subsp. quasipneumoniae, two K. quasipneumoniae subsp. similipneumoniae, two K. michiganensis, one C. portucalensis, and one K. quasivariicola) obtained in this and previous studies. Among the 448 K. pneumoniae strains, 93 were recovered from humans, 265 from chicken feces, 24 from swine, nine from pork, 11 from chicken meat, 19 from chicken farm environments, ten from duck feces, two from houseflies, and one each from geese, vegetables, and dogs (Table S4).

The 448 tmexCD1-toprJ1-positive K. pneumoniae isolates were categorized into 68 STs, with CC37 (including ST37 (n = 84) and its single locus variant ST726 (n = 48), ST896 (n = 20), and others (n = 12)) identified as the dominant clone, accounting for 36.6% (164/448). Other prevalent clones included ST15 (n = 41, 9.2%), ST11 (n = 33, 7.4%), ST1 (n = 26, 5.8%), and ST147 (n = 22, 4.9%). The ST37 K. pneumoniae strains were widely distributed and recovered from 11 sources across 15 provinces or cities in China. Among human-derived samples, the predominant ST types were ST15 (24.5%, n = 25), ST22 (11.8%, n = 12), ST37 (10.8%, n = 11), and ST11 (9.8%, n = 10). In chicken-derived K. pneumoniae strains, the most common STs were ST37 (20.6%) and ST726 (14.8%), followed by ST1 (8.6%), ST11 (6.5%), ST42 (6.2%), ST147 (5.8%), ST15 (4.5%), and ST395 (3.4%). Among K. pneumoniae strains derived from swine and swine carcasses, the dominant ST types were ST896 (58.3%, 14/24) and ST11 (12.5%, 3/24), with other ST types accounting for 29.2% (7/24) (Fig. S2 in Appendix A). Outside China, among the ten K. pneumoniae strains, ST15 is the predominant strain (n = 4), followed by ST273 (n = 2), ST22, ST3332, ST2325, and ST709, each represented by a single isolate.

3.4. Resistome of tmexCD1-toprJ1-positive strains

All 511 of the tmexCD1-toprJ1-positive strains carried multiple ARGs, with a mean of 23.2 ARGs per isolate. The mean number of ARGs in the 448 tmexCD1-toprJ1-positive K. pneumoniae isolates was 26.4, which was significantly greater than that in clinical K. pneumoniae isolates producing K. pneumoniae carbapenemases (KPC) (average ARG number of 14.1) or New Delhi metallo-beta-lactamase (NDM) (19.7) (Fig. 3(d)). The dominant resistance genes among tmexCD1-toprJ1-positive strains included the aminoglycoside resistance gene armA, the florfenicol resistance gene floR, β-lactam resistance genes (blaDHA-1 and blaCTX-M), and the quinolone resistance gene qnrB, with prevalences of 78.5%, 79.5%, 82.2%, 59.1%, and 89.6%, respectively (Fig. 3(e) and Fig. S3 in Appendix A). Notably, 157 (109 from chicken feces, 28 from humans, 11 from chicken farm environments, and nine from other samples) colistin resistance genes (mcr-8, mcr-1, and mcr-3) were identified in tmexCD1-toprJ1-carrying strains, and mcr-8 (n = 131) was the most common mcr gene. Further, 100 strains (36 from humans, 31 from chicken feces, 11 from chicken farm environments, 15 from swine feces, and seven from other samples) carried carbapenem resistance genes, including blaNDM (17.2%, n = 88) (Fig. 3(e)), blaKPC (4.1%, n = 21), blaIMP (n = 2), blaOXA-181 (n = 4), and co-occurring blaKPC and blaNDM (n = 15). Notably, 35 of the 100 tmexCD1-toprJ1-positive CREs also carried the mcr gene (mcr-1, mcr-8, or mcr-3). Among the 102 strains isolated from healthcare settings, 35.3% (n = 36) simultaneously carried carbapenem resistance genes and 27.5% (n = 28) harbored colistin resistance genes. In addition, in human-derived K. pneumoniae, the carriage rate of the floR gene in tmexCD1-toprJ1-positive strains (56.0%) was significantly greater than that in human-derived NDM (6.3%) and KPC-producing (4.2%) strains (Fig. 3(f)). The positive rates of heavy metal resistance genes, including the sil, ter, pco, ars, and mer clusters, among the tmexCD1-toprJ1-positive strains were 65.8%, 65.0%, 61.1%, 40.9%, and 39.3%, respectively (Fig. S4 in Appendix A), indicating that tmexCD1-toprJ1-positive strains frequently carry multiple ARGs and heavy metal resistance genes. Further, amino acid substitutions in GyrA, ParC, and MgrB, which mediate high levels of resistance to fluoroquinolones or colistin, were present in 350 (86.4%), 345 (85.2%), and 18 (4.4%) of the 448 K. pneumoniae strains, respectively (Fig. S5 in Appendix A).

3.5. Polysaccharide and virulence factors in tmexCD1-toprJ1-positive strains

Among the 448 K. pneumoniae strains, 71 known K loci (KL) encoding the core capsule biosynthesis machinery were identified, with KL186 (n = 36), KL81 (n = 31), KL3 (n = 22), and KL45 (n = 18) being the most common (Fig. S6 in Appendix A). Ten KL types (KL166, KL24, KL46, KL12, KL112, KL113, KL138, KL155, KL157, and KL39) were unique to human strains, whereas the remaining 24 types were detected in strains derived from animals, food, or the environment. A smaller number of distinct O loci (n = 11) were observed, with O1/O2v2 (n = 154), O3b (n = 61), O1/O2v1 (n = 56), and OL101 (n = 49) being the most common, consistent with previous reports (Fig. S7 in Appendix A).

The carriage rates of virulence factors, such as aerobactin (iuc1, iuc3, and iuc5), yersiniabactin (ybt and ICEkp), salmochelin, and the mucoid phenotype (rmpADC and ramA2), in the 448 K. pneumoniae strains were 7.8% (n = 35), 4.0% (n = 18), 0.9% (n = 4), and 0.7% (n = 3), respectively (Fig. S8 in Appendix A). Significant differences in the carriage of virulence genes were detected between human-derived K. pneumoniae and those from other sources. Three iuc, iroN, and rmpA2-carrying K64-ST11 hypervirulent CRKP strains were recovered from humans. The ybt genes were associated with four ICEKp genes, with ICEKp3 (n = 7) and ICEKp5 (n = 7) being the most common. ICEKp3 (n = 5) was predominantly found in human-derived strains, whereas ICEKp5 (n = 6) predominated in animal- and food-derived strains (Fig. S8).

3.6. Transmission of tmexCD1-toprJ1-carrying K. pneumoniae clones

We constructed a core-genome phylogenetic tree in order to elucidate the phylogenetic relationships among the 448 tmexCD1-toprJ1-carrying K. pneumoniae strains from various sources. Hierarchical Bayesian analysis of the population structure (hierBAPS) revealed seven major clades within these strains (Fig. S9 in Appendix A). Extensive diversity was observed among tmexCD1-toprJ1-positive ST726, ST37, ST15, and ST22 K. pneumoniae strains derived from diverse sources. However, a high degree of relatedness was noted among strains from different geographical regions and sample origins across multiple lineages.

Further analysis of SNP differences between tmexCD1-toprJ1-carrying K. pneumoniae strains indicated common clonal spread among chickens and their environments, extending to transmission between chickens and humans (Table S7 in Appendix A). For example, the ST37 K. pneumoniae strain SCH140121R (human, Sichuan, China, 2020) exhibited only 12 and 14 core genome single nucleotide polymorphisms (cgSNPs) compared to the strains XJ222 (chicken, Xinjiang, China, 2019) and SCH090637 (human, Sichuan, China, 2019), respectively. Similarly, the ST37 strain C5921 (Sequence Read Archive (SRA): SRS9414716, Beijing, China, 2019) exhibited 14, 17, and 17 cgSNP differences from SH9I002 (chicken, Shanghai, China, 2019), GD9I034T, and GD9I037T (chicken, Guangdong, China, 2019), respectively (Fig. S10 and Table S7 in Appendix A). The ST37 strain 13L165 (GCA_033433955, human, Sichuan, China, 2013) showed only 20 and 23 cgSNP differences from GHZ9P037 (pork, Guangdong, China, 2019) and GXQ9C223 (chicken, Guangxi, China, 2019), respectively.

Further, closely related strains of ST42, ST147, and ST1 were found among tmexCD1-toprJ1-carrying K. pneumoniae clones isolated from chickens and their environments. Six ST4523–KL111 strains with 0–13 cgSNP differences were isolated from chicken feces, slaughtered chickens, or retail chicken meat in Fujian and Guangdong Provinces. This suggests the vertical transmission of tmexCD1-toprJ1 through poultry processing and the food chain (Fig. S10 and Table S7).

Notably, the ST22 tmexCD1-toprJ1-positive strain SH9C008 (retail chicken, Shanghai, China, 2019) exhibited only 15–32 cgSNP differences compared to ten strains isolated from a hospital in Beijing between 2018 and 2021. Similarly, the ST15 strain AHM8C074 collected from chicken feces in 2018 showed minimal SNP differences (ranging from 17 to 40) with various human-derived strains from different regions and years. The globally prevalent high-risk ST15 clone has been significantly implicated in the dissemination of tmexCD1-toprJ1. Our analysis revealed that the tmexCD1-toprJ1-positive ST15 strain SRY643 (GenBank No. GCA_033861315, 2021) from a patient in Zhejiang, China, exhibited only eight base pair variations in cgSNPs compared to a human-derived ST15 strain from Japan, JBEAACG-19-0050 (DRR390524, 2019). Further, two ST15 strains (GCA_024990835 and GCA_014117765) collected from Kenya in 2017 were closely related to two human-derived strains (GCA_034737695 and GCA_034737815) from Guangxi, China, with only 19–24 cgSNP differences, indicating the clonal spread of tmexCD1-toprJ1-positive ST15 across countries (Fig. S10 and Table S7).

ST37 K. pneumoniae, which accounted for the highest percentage of all of the tmexCD1-toprJ1-positive strains, was selected as a representative for analyzing the genetic relationships of tmexCD1-toprJ1-positive and -negative strains from different origins. We obtained the genomic sequences of 1 412 ST37 K. pneumoniae strains, 81 of which were tmexCD1-toprJ1-positive. Core-genome phylogenetic analysis revealed 11 clades among the 1 412 ST37 strains. Among the 81 tmexCD1-toprJ1-positive ST37 strains, all except one (KP294, CP083445, isolated from a human in Chongqing, China) were distributed across two clades, primarily comprising strains collected from animals or environmental samples (Fig. S9 in Appendix A). Notably, ten out of the 11 tmexCD1-toprJ1-positive ST37 strains originating from healthcare settings were found in these two clades, suggesting that these healthcare-associated strains may have been derived from animals.

3.7. Epidemiological characteristics of tmexCD1-toprJ1-harboring plasmids

We obtained the complete sequences of 148 tmexCD1-toprJ1-bearing plasmids (58 from this study and 90 from GenBank) and one tmexCD1-toprJ1-bearing chromosome (Tables S8 and S9 in Appendix A). A total of 24 plasmid types were identified among the 148 tmexCD1-toprJ1-bearing plasmids, with IncFIB(Mar)–IncHI1B (33.8%, n = 50) being the predominant vector, followed by IncFIB(K)–IncHI1B (22.3%, n = 33), IncFIA–IncFII(K) (8.1%, n = 12), IncU–IncHI5 (5.4%, n = 8), and IncFIB(K)–IncFII(K) (4.7%, n = 7) (Fig. 4(a); Tables S8 and S9).

The IncFIB(Mar)–IncHI1B plasmid, commonly found in K. pneumoniae (Fig. 4(b)), is a conjugative and MDR plasmid. tmexCD1-toprJ1-carrying IncFIB(Mar)–IncHI1B plasmids, sharing a highly conserved backbone and an MDR region with coverage and similarity > 98%, were detected in various Klebsiella species. Distinct ST profiles of K. pneumoniae from chickens, swine, meat, the environment, houseflies, and humans in China and Vietnam were identified (Fig. 4(a); Tables S8 and S9). The pMH15-269M_1 plasmid (AP023338.1) collected from a human in Vietnam was highly similar (99% coverage and 99.84% identity) to the pHN111RT-1 plasmid (MT647838.1) isolated from sewage in China, indicating the spread of tmexCD1-toprJ1-carrying IncFIB (Mar)–IncHI1B plasmids between China and Vietnam. tmexCD1-toprJ1 was commonly associated with blaDHA-1 (94.0%, 47/50), armA (82.0%, 41/50), qnr (92.0%, 46/50), and mcr-1 (8.0%, 4/50) located in an MDR region flanked by incomplete Tn1721 in IncFIB(Mar)–IncHI1B plasmids (Fig. S11 in Appendix A).

The tmexCD1-toprJ1-bearing IncFIB(K)–IncHI1B plasmid, also prevalent in K. pneumoniae (Fig. 4(b)), shares a less conserved backbone and a relatively conserved MDR region containing blaDHA-1, armA, qnrB, and aac(3)-IV, etc. (Fig. S12, Tables S8 and S9 in Appendix A), which is highly similar to the MDR region in the IncFIB(Mar)–IncHI1B plasmid. However, all of the IncFIB(K)–IncHI1B-type plasmids were non-conjugatable due to the absence of type IV secretion systems (T4SSs). Like the IncFIB(Mar)–IncHI1B plasmids, tmexCD1-toprJ1-carrying IncFIB(K)–IncHI1B plasmids were detected in K. pneumoniae or K. quasivariicola from various geographical locations and sources (human, chicken feces, duck feces, and environment). Most IncFIB(K)–IncHI1B plasmids were identified in CG37 (42.4%; ST37, n = 10; ST726, n = 4) and CG15 (24.2%; ST15, n = 8) (Fig. 4(a)), suggesting host specificity for tmexCD1-toprJ1-bearing plasmids.

In addition, tmexCD1-toprJ1-carrying IncFIA–IncFII(K) (n = 12), IncFIB(K)–IncFII(K) (n = 7), and IncFII(K) (n = 5) plasmids were conjugatable but carried fewer ARGs (Fig. S13, Table S8 and S9 in Appendix A). These plasmids also harbored mcr-8 and shared a relatively conserved backbone sequences with pHNAH8I-1 (MK347425), which exhibited > 98% similarity (Fig. S13). They were mainly obtained from chicken feces or chicken farm environments, except the IncFIA–IncFII(K)-type plasmid pKQBSI104-1 and the IncFIB(K)–IncFII(K)-type plasmid pKP15ZE495-1 collected from humans.

Eight IncU–IncHI5 plasmids were distributed among six bacterial species: K. pneumoniae (n = 1), K. michiganensis (n = 2), K. oxytoca (n = 1), K. quasipneumoniae (n = 1), R. planticola (n = 2), and E. cloacae (n = 1) (Fig. 4(a)). This suggests that IncU–IncHI5 plasmids play a significant role in the cross-species transmission of the tmexCD1-toprJ1 gene cluster. The IncU–IncHI5 plasmids also carried other ARGs, including blaNDM-1 (n = 2), blaIMP-4 (n = 2), armA, and qnrS1 (Fig. S14 in Appendix A). Sequence comparisons revealed that seven tmexCD1-toprJ1-carrying IncU–IncHI5 plasmids had similar plasmid backbone structures and variable regions, except that pHNSCH140054-1 and pHNSCH140055-1 lacked a transfer region (Fig. S14).

In addition to these plasmids, we identified five MDR hybrid plasmids, including IncFIA–IncFIB(K)–IncHI1B–IncR (n = 1) and IncFIA–IncFIB(K)–IncHI1B (n = 4), which were the first to carry tmexCD1-toprJ1 (Fig. 4(a)). The four IncFIA–IncFIB(K)–IncHI1B plasmids were associated with ST37 (n = 3) or ST15 (n = 1) K. pneumoniae strains. Comparisons of these five hybrid plasmids with IncFIB(K)–IncHI1B plasmids revealed similar backbones and variable regions.

We further assessed the transferability and stability of the dominant tmexCD1-toprJ1-carrying plasmids: IncFIB(K)–IncHI1B, IncFIB(Mar)–IncHI1B, IncU–IncHI5, and IncFII(K)–IncFIA, in E. coli and K. pneumoniae. Conjugation assays demonstrated that these plasmids could be transferred to E. coli J53 at frequencies ranging from approximately 5.24 × 10−6 to 3.05 × 10−4 (Fig. S15 in Appendix A), except for the IncFIB(K)–IncHI1B plasmid, which was nonconjugative. Stability assays revealed that in wild-type strains (Fig. 4(c)), the IncFIA–IncFII(K) and IncFII(K) plasmids were maintained for 15 d. However, the IncFIB(K)–IncFII(K), IncU–IncHI5, IncFIB(Mar)–IncHI1B, and IncFIB(K)–IncHI1B plasmids exhibited significant loss beginning on day 3 or 6, with loss rates exceeding 50% by day 15. In K. pneumoniae AH58I (Fig. 4(d)), the IncFIA–IncFII(K) plasmids were stably maintained, with an IncFII(K) plasmid loss rate of 30%, whereas the loss rates for the IncFIB (Mar)–IncHI1B and IncU–IncHI5 plasmids ranged from 50% to 90%. In E. coli J53 (Fig. 4(e)), the loss rates of the IncFII(K) and IncFIB(K)–IncFII(K) plasmids were 30%, whereas those of the IncFIB(Mar)–IncHI1B, IncU–IncHI5, and IncFIB(K)–IncFII(K) plasmids exceeded 50%. Overall, tmexCD1-toprJ1-carrying plasmids exhibited significant fitness costs to both K. pneumoniae AH58I and E. coli J53, with a lower fitness cost observed in K. pneumoniae AH58I compared to E. coli J53. The RF of IncFIB(Mar)–IncHI1B, IncFIB(K)–IncFII(K), IncFIA–IncFII(K), IncU–IncHI5, and IncFII(K) in E. coli J53 decreased from 0.9 to 0.2 over 24–96 h, whereas in K. pneumoniae AH58I, the RF decreased to approximately 0.4–0.7 (Figs. 4(f) and (g)).

3.8. Genetic context features of tmexCD1-toprJ1

To characterize the genetic contexts surrounding tmexCD1-toprJ1, we conducted a comparative analysis of plasmids from this study and GenBank, revealing ten distinct types of genetic environments (Fig. S16 in Appendix A). Among these, types I-1, II-1, and III represent common structures, while three novel genetic contexts were identified.

3.8.1. Type I structures

The type I translocatable unit features the core structure int1-int2-hp1-hp2-tnfxB1-tmexCD1-toprJ1, marking it as the earliest reported genetic structure of tmexCD1-toprJ1. This unit is classified as a strand-biased circularizing integrative element (SE) [45] and is designated as SE-pHNAH8I. We identified the complete SE-pHNAH8I gene in 37 plasmids: 19 from this study and 18 from GenBank, spanning ten plasmid types, including IncFIA–IncFII(K) (n = 11) and IncFIB(K)–IncFII(K) (n = 6), IncFII(K) (n = 5), IncU–IncHI5 (n = 8), and others (n = 7) (Fig. 4(a)). Notably, SE-pHNAH8I was integrated into the tnpA gene of Tn5393/Tn5393C, with a consistent potential integration site (ATCT), indicating its mobility. Within the IncU–IncHI5 plasmids, Tn5393 was inserted between transposons Tn1721 and Tn5563. Variations from types I-1 to I-5 differ depending on whether Tn5393 is truncated or disrupted by additional insertion sequences.

3.8.2. Type II structures

Type II structures serve as the primary genetic environments for tmexCD1-toprJ1 and are predominantly found on MDR plasmids (Fig. 5(a)). We identified these structures in 103 plasmids, categorizing them into five substructures, with type II-1 being the most prevalent. The key difference between type II-1 and types II-2 to II-5 is the presence of insertion sequences such as ISCR1, IS1294, or IS26, which truncate the upstream or downstream segments of type II-1. The type II-1 structure, organized as IS26-Δhp2-tnfxB1-tmexC1-tmexD1-toprJ1-strAB-ΔIS903B-Δmcp-IS26, was observed in 86 plasmids, one K. pneumoniae chromosome, and two IS26-mediated circular intermediates. The predominant plasmid types carrying this structure included IncFIB(Mar)–IncHI1B (n = 39) and IncFIB(K)–IncHI1B (n = 29), followed by IncFIB(K)–IncHI1B–IncFIA (n = 4), IncFIB(K) (n = 3), IncR (n = 2), IncFIB(Mar)–IncHI1B–IncR (n = 2), and others (n = 6) (Fig. 4(a) and Fig. 5(a)).

3.8.3. Type III structures

The type III structure, represented as IS26hp1-tmexCD1-toprJ1-ΔTn5393 (ΔtnpA-tnpR-strB-strA)-Tn501, was primarily identified in strains of swine origin and was found in only six plasmids from various Inc groups (Fig. 4(a) and Fig. 5(a)).

3.8.4. Trends and observations

In total, we identified 99 type I structures, 255 type II structures, seven type III structures, and two other types from tmexCD1-toprJ1-carrying contigs extracted from assembled sequences. The proportion of type II structures rose significantly from 0.27% in 2018 to 87% in 2022, demonstrating a steady increase, particularly in human-derived strains, compared to those from animals and the environment. Among the nine tmexCD1-toprJ1-positive strains isolated between 2008 and 2014, seven exhibited type I structures, two had type III structures, and none contained type II structures (Fig. 5(b)).

3.8.5. Formation of type II genetic environments

To investigate the formation of type II genetic environments (Fig. 5(c)), we blasted sequences of the fragment ΔTn1721-ΔIS903-strA-strB-tnpR found in type II-1. This search revealed an identical sequence in the IncR plasmid pWP3-W18-ESBL-01_2 (GenBank accession number: AP021971, R. ornithinolytica, Japan: Tokyo, 2018). In this plasmid, two transposons, Tn1721 and Tn5393, were inserted into IS903, forming direct repeats (DRs) ATTAA and GCTAT (Fig. 5(c), structure II). A similar structure was also present in the IncR-type plasmid pYTF44-1-tmexCD (GenBank No. CP075287), which carries tmexCD1-toprJ1, but with additional resistance genes and insertion sequences within Tn1721. We hypothesized that the type II-1 structure originated from SE-pHNAH8I capturing the tmexCD1-toprJ1 gene cluster, subsequently integrating into the tnpA gene of Tn5393 in an IncR plasmid similar to pWP3-W18-ESBL-012. The hp1 gene in SE-pHNAH8I was truncated by IS26, and the mcp gene of Tn1721 was also inserted by IS26, leading to the formation of a new structure. Following multiple insertion, deletion, and recombination events mediated by diverse insertion sequences, the structure of the pYTF44-1-tmexCD plasmid emerged, generating a type II-1-like structure. The presence of IS26 at both ends of the type II-1 structure facilitated the formation of cyclic intermediates, allowing for the transfer between plasmids within the same cell. This suggests that the type II-1 genetic structure was initially generated in an IncR plasmid and later transferred to IncFIB(MAR)–IncHI1B and IncFIB(K)–IncHI1B plasmids. The type II-2 and type II-3 structures were newly identified and resembled the type II-1 structure driven by IS26 or ISCR1.

3.8.6. Ancestral structure of type III

Further BLAST analysis revealed the structure of Tn501–Tn5393 on plasmid pAAA83 (AB852526), leading us to speculate that this may represent the ancestral structure of type III. We propose a model for the formation of type III: initially, SE-pHNAH8I is integrated into Tn5393, followed by the insertion and rearrangement of IS26 and IS4321, resulting in the type III structure. The emergence of various tmexCD1-toprJ1-harboring genetic elements illustrates the diverse mechanisms of tmexCD1-toprJ1 transfer among different plasmids.

4. Discussion

Tigecycline is a vital antibiotic for treating infections caused by MDR bacteria. The emergence of the tigecycline resistance gene cluster tmexCD1-toprJ1 presents significant therapeutic challenges in clinical settings. This study offers the first comprehensive analysis of the epidemiological distribution and evolutionary transmission vectors of tmexCD1-toprJ1 in China and globally, which will aid in the development of relevant interventions.

Previous research has indicated that tmexCD1-toprJ1-positive strains are predominantly found in K. pneumoniae and related genera from chicken farms in China [16,46]. Our findings corroborate these reports, revealing that tmexCD1-toprJ1 is mainly distributed among K. pneumoniae strains on domestic chicken farms [16,29,46]. However, its presence has expanded beyond China, with detections reported in Japan [47], Republic of Korea, Thailand, Vietnam [48], and Kenya, across various ecological niches, including chicken, duck, food, pigs, river water, sewage, vegetables, fish, and humans [16,[28], [29], [30],46,[48], [49], [50]], and in diverse Enterobacterales, including E. coli, C. portucalensis, C. youngae, and E. cloacae [18,46,[48], [49], [50], [51], [52]]. Given that tmexCD1-toprJ1 was first discovered in animals and that it is detected more frequently in animals than in humans, we propose that its origin likely lies in animals, with subsequent transmission to humans [18,28,[50], [51], [52]]. Notably, although tmexCD1-toprJ1-positive strains are rarely found in swine, the significantly lower carriage rate of K. pneumoniae in pig intestines (1.4%) compared to chickens (15.1%) may reflect specific epidemiological characteristics of the tmexCD1-toprJ1 gene cluster, warranting further investigation.

Our study also highlighted that tmexCD1-toprJ1-positive strains exhibit a high resistance rate to most antimicrobial agents and carry significantly more resistance genes than blaNDM- and blaKPC-positive bacteria. All of the tmexCD1-toprJ1-positive strains exhibited an MDR phenotype, particularly demonstrating high resistance to colistin, despite a notable decline in colistin resistance among E. coli in animals and humans following the colistin withdrawal policy in China in 2017 [53,54]. Interestingly, the tmexCD1-toprJ1-carrying strains collected after 2017 still exhibited substantial colistin resistance. The frequent occurrence of mcr-8 in these strains could be attributed to the fact that Klebsiella spp. is their primary host [55,56]. K. pneumoniae is the most notorious pathogen in both hospital and community settings, contributing to one-third of all of the healthcare-associated gram-negative infections worldwide [57,58]. Alarmingly, the acquisition of AMR determinants, particularly those conferring resistance to third-generation cephalosporins and carbapenems, in K. pneumoniae has increased in recent decades [59], leaving colistin and tigecycline as the few effective drugs. Thus, the co-existence of the tmexCD1-toprJ1 and mcr genes in K. pneumoniae poses challenges in healthcare settings, requiring ongoing vigilance.

In addition to the mcr gene, tmexCD1-toprJ1-positive strains also harbor carbapenem resistance genes such as blaNDM and blaKPC, with some strains carrying multiple carbapenem resistance genes simultaneously [60,61]. Further, most tmexCD1-toprJ1-positive strains exhibited a higher prevalence of the florfenicol resistance gene floR compared to NDM- and KPC-producing K. pneumoniae, supporting the idea that these strains may have originated from animals. Several strains also contain multiple heavy metal resistance genes, enhancing their persistence in environments with high antimicrobial and heavy metal pressures [62], typical of food animal production.

Despite the diversity observed in the phylogenetic tree, a close genetic relationship was noted among tmexCD1-toprJ1-positive K. pneumoniae strains from different ecological niches. Clonal transmission of the tmexCD1-toprJ1 gene cluster was evident between chicken farms and retail chicken meat, suggesting potential transmission from chickens to humans via the food chain. The international high-risk ST15 K. pneumoniae clone is also implicated in the global spread of the tmexCD1-toprJ1 gene cluster. In addition, although previous studies reported limited clonal transmission of resistant strains between animals and humans [63], our findings revealed instances of clonal transmission of tmexCD1-toprJ1-positive ST37 K. pneumoniae across various years and ecological niches, including humans, chickens, and retail chicken meat. Notably, chicken-derived ST37 K. pneumoniae strains were closely related to human- and environment-derived strains carrying blaNDM [64,65]. This differs from KPC-producing ST11 K. pneumoniae and CTX-M-producing ST131 E. coli, which are almost exclusively detected in strains originating from healthcare settings [66]. More importantly, we identified tmexCD1-toprJ1 in KL64-ST11 highly virulent carbapenem-resistant K. pneumoniae (hv-CRKP), a strain prevalent in nosocomial outbreaks in China and Southeast Asia [67,68]. The concurrent presence of tmexCD1-toprJ1 in hypervirulent, transmissible, and extensively drug-resistant KL64-ST11 hv-CRKP poses a severe threat to public health.

The narrow host range of tmexCD1-toprJ1-encoded plasmids may limit the dissemination of tmexCD1-toprJ1 across different bacterial species. Our data indicate that the predominant vectors for tmexCD1-toprJ1 are IncFIIk, IncFIBK–IncHI1B, and IncFIB(MAR)–IncHI1B, which are primarily found in K. pneumoniae. These types are characterized as narrow host range plasmids, making it less likely for tmexCD1-toprJ1 to spread to other Enterobacterales (Fig. 4(b)). Given that tmexCD1-toprJ1 emerged relatively recently (around 2009), it has likely not been widely transferred among plasmids. However, the association of tmexCD1-toprJ1 with IS26 [69], a common mobile element capable of carrying multiple drug resistance genes, has facilitated its spread to broad-host-range plasmids such as IncR, IncC, and IncU–IncHI5, potentially increasing the gene’s dissemination [28,50,51]. Further, the identification of tmexCD1-toprJ1 in E. coli, E. cloacae, and Citrobacter spp. demonstrated that tmexCD1-toprJ1 has spread to other species [50,51], suggesting that across-species transmission is occurring, and that it has the potential for further dissemination.

Our findings confirm the significant role of SE [45], specifically SE-pHNAH8I, in the transmission of tmexCD1-toprJ1. While direct evidence of SE-pHNAH8I mobility is lacking, the presence of similar SE-pHNAH8I in various plasmid types suggests that multiple translocation events may have occurred. It is hypothesized that SE-pHNAH8I could mobilize tmexCD1-toprJ1 into plasmids such as IncFIA–IncFII(K), IncFIBK–IncFII, and IncU–IncHI5. In addition, Tn1721 and SE-pHNAH8I, located in the Tn1721-ΔIS903-Tn5393Δ-SE-pHNAH8I structure on the IncR plasmid, were truncated by two IS26 elements, forming the type II-1 structure. These IS26-flanked pseudocomposite transposons are pivotal in disseminating resistance determinants in Gram-negative bacteria [69]. This may enable the tmexCD1-toprJ1 gene cluster to jump into MDR IncFIB(K)–IncHI1B and IncFIB(MAR)–IncHI1B plasmids from IncR-type plasmids such as pYTF44-1-tmexCD. Despite the fitness costs associated with tmexCD1-toprJ1, its complex genetic environment may facilitate horizontal gene transfer across diverse plasmids and bacteria. Over time, the gradual transfer of tmexCD1-toprJ1 into plasmids with additional resistance genes has enhanced its persistence, shifting from the less efficient SE-pHNAH8I to more mobile elements like IS26, which support the formation of circular intermediates [70].

Interestingly, the prevalence of tmexCD1-toprJ1 in poultry has decreased significantly from 57.9% in 2018 to 0.7% by 2022. Zhao et al. [71] reported a decrease in tetracycline usage between 2018 and 2020, particularly following the ban on antimicrobial agents in animal feed as growth promoters, effective July 1, 2020 [71]. Thus, the decline of tmexCD1-toprJ1 correlates with a substantial reduction in antibiotic use in food animals in China. This mirrors the reduction of the mcr-1 gene prevalence among Enterobacterales in food animals after the colistin ban in China, which also led to lower mcr-1 detection rates in human-derived strains [53,54,71]. Similarly, the decrease in tmexCD1-toprJ1 detection among chickens corresponds with a notable reduction in human-derived tmexCD1-toprJ1-positive strains recorded in the GenBank database for 2022 and 2023, suggesting a direct relationship between animal and human prevalence. These findings underscore the critical role of reducing antibiotic usage in controlling the spread of resistance genes and highlight China’s substantial efforts to combat AMR in animal reservoirs [53,54,71]. In addition, similar to mcr-1 [72], the fitness cost associated with the tmexCD1-toprJ1 gene may result in its loss when antibiotic selection pressure is absent, contributing to the observed decrease in detection rates. These findings underscore the critical role of reducing antibiotic usage in controlling the spread of resistance genes and highlight China’s substantial efforts and achievements in combating AMR in animal reservoirs. Currently, tmexCD1-toprJ1 is predominantly found in China, but its presence is increasing in neighboring Asian countries. The similarity between tmexCD1-toprJ1-positive strains and plasmids from these countries and those from China suggests potential cross-border spread, reinforcing the need for a One Health approach to address the global challenge of AMR.

Although our study provides evidence of cross-ecological transmission of tmexCD1-toprJ1 K. pneumoniae among chickens, food, and humans, we acknowledge several limitations in our research. First, the African swine fever outbreak in China, which has been ongoing since 2018, has hindered the collection of diverse pig fecal samples from various regions. Second, the coronavirus disease 2019 (COVID-19) pandemic severely restricted the collection of environmental samples. As a result, the number of pig and environmental samples in our study was relatively small, potentially introducing bias into the epidemiological data. We incorporated data from public databases, enabling us to demonstrate the prevalence trends of tmexCD1-toprJ1 and to provide more robust evidence of its transmission among animals, humans, and food sources.

5. Conclusions

In summary, this study represents the first comprehensive epidemiological surveillance of tmexCD1-toprJ1-positive Enterobacterales from a One Health perspective. Our findings indicate that tmexCD1-toprJ1 is primarily endemic to chicken-derived K. pneumoniae on chicken farms and is rarely found in porcine strains, likely due to the narrow host range of tmexCD1-toprJ1 plasmids and limited colonization of K. pneumoniae in pigs. The gene cluster has spread widely in the ecosystem, with various hosts identified. We speculate that tmexCD1-toprJ1 initially proliferates in animals, particularly on chicken farms, before being transferred to humans through the food chain. Both clonal transmission and horizontal transmission contribute to its dissemination across ecological niches. Alarmingly, tmexCD1-toprJ1 has reached broad-host-range plasmids and Hv-CRKP ST11-KL64 in healthcare settings, with most tmexCD1-toprJ1-positive Enterobacterales exhibiting resistance to nearly all antimicrobials, posing a significant threat to public health. Fortunately, due to the fitness cost associated with tmexCD1-toprJ1, the incidence of tmexCD1-toprJ1-positive Enterobacterales in food animals and humans has declined following the implementation of policies to restrict the use of antimicrobials in animal feed in China. This emphasizes that controlling sources and reducing antibiotic usage in food animals are effective strategies to combat antibiotic resistance. Given the substantial threat posed by MDR tmexCD1-toprJ1-positive K. pneumoniae to healthcare settings, close monitoring of tmexCD1-toprJ1 across different ecological niches, particularly among poultry-origin K. pneumoniae, is necessary.

Availability of data and materials

Genome sequence data reported in this paper have been submitted to the NCBI database under the BioProject accession number: PRJNA1160055 (long-read data), and PRJNA1156631 (short-read data and long-read data).

CRediT authorship contribution statement

Luchao Lv: Software, Writing – review & editing, Writing – original draft, Visualization, Methodology, Formal analysis, Data curation. Xun Gao: Writing – review & editing, Investigation. Chengzhen Wang: Writing – review & editing, Writing – original draft. Guolong Gao: Software, Methodology. Jie Yang: Formal analysis. Miao Wan: Investigation. Zhongpeng Cai: Investigation. Sheng Chen: Writing – review & editing. Jing Wang: Investigation. Chuying Liang: Formal analysis. Chao Yue: Investigation. Litao Lu: Investigation. Zhiyong Zong: Writing – review & editing, Methodology, Investigation. Jian-Hua Liu: Supervision, Project administration, Methodology, Funding acquisition, Writing – review & editing, Writing – original draft, Visualization, Formal analysis, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was funded by the Guangdong Major Project of Basic and Applied Basic Research (2020B0301030007), the National Natural Science Foundation of China (32141002), the National Key Research and Development Program of China (2022YFC2303900), and the Science and Technology Program of Guangzhou, China (2023A04J0755 and 202201010300). We thank LetPub for its linguistic assistance during the preparation of this manuscript.

Appendix A. Supplementary material

Supplementary data to this article can be found online at https://doi.org/10.1016/j.eng.2025.03.038.

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