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Screening of colistin-resistant bacteria in livestock animals from France

Veterinary Research volume 53, Article number: 96 (2022) Cite this article

Abstract

Colistin is frequently used as a growth factor or treatment against infectious bacterial diseases in animals. The Veterinary Division of the European Medicines Agency (EMA) restricted colistin use as a second-line treatment to reduce colistin resistance. In 2020, 282 faecal samples were collected from chickens, cattle, sheep, goats, and pigs in the south of France. In order to track the emergence of mobilized colistin resistant (mcr) genes in pigs, 111 samples were re-collected in 2021 and included pig faeces, food, and water from the same location. All samples were cultured in a selective Lucie Bardet Jean-Marc Rolain (LBJMR) medium and colonies were identified using MALDI-TOF mass spectrometry and then antibiotic susceptibility tests were performed. PCR and Sanger sequencing were performed to screen for the presence of mcr genes. The selective culture revealed the presence of 397 bacteria corresponding to 35 different bacterial species including Gram-negative and Gram-positive. Pigs had the highest prevalence of colistin-resistant bacteria with an abundance of intrinsically colistin-resistant bacteria and from these samples one strain harbouring both mcr-1 and mcr-3 has been isolated. The second collection allowed us to identify 304 bacteria and revealed the spread of mcr-1 and mcr-3 in pigs. In the other samples, naturally, colistin-resistant bacteria were more frequent, nevertheless the mcr-1 variant was the most abundant gene found in chicken, sheep, and goat samples and one cattle sample was positive for the mcr-3 gene. Animals are potential reservoir of colistin-resistant bacteria which varies from one animal to another. Interventions and alternative options are required to reduce the emergence of colistin resistance and to avoid zoonotic transmissions.

Introduction

Colistin (polymyxin E) is a cationic polypeptide antibiotic used as a last-line therapeutic drug, to treat bacterial infections, especially carbapenem-resistant Gram-negative bacteria [1].

Colistin has been used for decades in veterinary medicine as a growth factor [2]. Thus, the high spread of colistin resistance has been related to colistin use via selection pressure in the ecosystem [3]. The European Medicine Agency has suggested limiting colistin use because it plays a crucial role in the exclusion of colistin resistance in epidemiological studies [4].

Colistin resistance is mediated by different mechanisms that include chromosomal mutations, mobile genetic elements (MGEs) harbouring mobilized colistin resistant (mcr) genes (transposon, integron, plasmid), efflux pumps, and even vesicles [5]. First of all, colistin resistance was reported to be due to regulatory modification mediated by chromosomal gene mutations (mgrB, pmrAB, phoPQ) [6]. Then, in 2015 Chinese researchers reported the first plasmid-mediated colistin resistance, harbouring the mcr-1 gene, which has since propagated to 20 other countries [7]. mcr genes have dispersed worldwide in different ecosystems [8, 9]. Since 2015, several variants of mobile colistin resistance gene have been discovered ranging from mcr-2 to mcr-10 [10,11,12,13,14,15,16,17,18]. Recently, in 2022, subvariants of mcr genes have been discovered by metagenomic analysis [8]. Usually, mcr genes are transported by plasmids such as IncI2, IncHI2, IncX4, IncP, IncF, and IncY which have a high potential for transmission [19].

In contrast, a retrospective study found the mcr-1 gene in Escherichia coli isolated from poultry in the 1980s, when colistin first started to be used in food-producing animals in China. One hypothesis is that this is due to the use of polymyxin E in the animal industry [20]. Several studies have suggested that the transmission of mcr-1 in human beings is caused by zoonotic transmission, especially since colistin use in humans was banned [21]. It should be noted that animals are in direct and indirect contact with humans, whether for food consumption or as companionship. The contact between the environment, animals, humans and the eco-system exposes human beings to the zoonotic transmission of antibiotic resistance factors, either bacteria with intrinsic resistance or bacteria with resistance which is acquired via MGEs [22,23,24].

Over the last decade, colistin resistance in many bacterial species has been widely reported around the world [25]. However, information on the prevalence of bacteria that are resistant to critically important antimicrobials in animals is lacking in France. Recently, Dufreche provided a statistical estimate of veterinary antibiotic consumption in France (422 tons of antibiotics) [26]. The current study aims to screen colistin-resistant bacteria isolated from domestic animals including chickens, cattle, goats, sheep, and pigs. Furthermore, this study is performed in the context of the French antimicrobial resistant strains surveillance network.

Materials and methods

Sample collection and ethics authorization statement

Between 2019 and 2020, faecal samples were collected from four different counties in France. To get fresh stools, the faeces were collected with the assistance of a veterinarian. A sterile cotton swab and a wooden medical spatula were used to collect one faecal sample per animal. The veterinarians reported that animals in France were under standard rules of hygiene, food consumption, and restricted antibiotic use. 282 samples were collected using sterile tubes and sterile spatula from five species of animals: chickens from the Drome county; goats from Bouches-du Rhône; cattle and sheep from the Creuse; pigs from Vaucluse. Samples from goats were pelleted but were crushed with sterile water before analysis. As a part of the epidemiological monitoring of faecal and food samples from pigs, 111 additional pig samples were collected one year after the first collection (i.e., in 2021). All the collected samples were stored at —80 °C for later use. The number of samples taken for each animal is presented in detail in Figure 1.

Figure 1
figure 1

Geographical map showing the provenance of animal samples. The numbers in the bubbles represent the number of collected samples. The samples collected in 2020 are faecal samples only, while those collected in 2021 are from different origins. The localizations from where samples were collected are indicated by black stars.

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A Prefectorial authorisation (Bouches-du-Rhône) No.13 205 107 of 4 September 2014 authorises the IHU-Méditerranée Infection to use unprocessed animal by-products in categories 1, 2, and 3 for research and diagnostic purposes. Another order of 8 December 2011 lays down the health rules concerning animal by-products and derived products pursuant to the application of Regulation (EC) No. 1069/2009 and Regulation (EU) No 142/2011.

Screening and identification of colistin-resistant bacteria

All the samples were suspended in Tryptic Soy Broth medium (TSB) for bacterial enrichment and then cultured on Lucie Bardet Jean-Marc Rolain medium (LBJMR). LBJMR medium contains purple agar supplemented with glucose as a fermentative substrate. This medium was used as a selective medium containing 4 µg/mL of colistin sulphate salt and 50 µg/mL of vancomycin. In the plate agar, the Enterobacteriaceae appears yellow, contrasting with the purple agar with a size between 2 and 3 mm. Enterococci strains were round and small in size at 0.1–1 mm [27]. The strain set is distinguished according to Gram-negative bacteria (GNB) and Gram-positive bacteria (GPB). GPB are naturally colistin-resistant bacteria, while (GNB) are either naturally resistant to colistin or have acquired resistance via different mechanisms.

Colonies with different morphologies were selected from the selective agar plate. The isolated bacteria were then identified using a Microflex LS spectrometer (Bruker Daltonics, Bremen, Germany). Isolates were efficiently identified when the score values ranged from 2.3 to 3.0. This identification depended on Culturomics, BDAL, and Timone databases. The bacteria with low scores identification due to their fatty texture were subjected to protein extraction in order to improve their score.

Antimicrobial susceptibility test (AST)

All GNB isolates which were non-naturally colistin-resistant and grown on the LBJMR medium were subjected to an AST according to the current (DD) test method (Kirby-Bauer procedure). The minimal inhibition concentration (MIC) was confirmed by CLSI and EUCAST guidelines [28]. AST was performed with a definite turbidity bacterial suspension in NaCl (0.5 McFarland; 1.5 × 108 cells/mL). Antibiogram test included the following sixteen antibiotics: amoxicillin (AMX), amoxicillin-clavulanic acid (AMC), cefepime (FEP), piperacillin/tazobactam (TPZ), cefalotin (KF), ceftriaxone (CRO), ertapenem (ETP), imipenem (IMP), fosfomycin (FF), nitrofurantoin (F), trimethoprim-sulfamethoxazole (SXT), amikacin (AK), ciprofloxacin (CIP), doxycycline (DO), colistin (CT), and gentamicin (GT) (Bio-Rad, Marne-la-Coquette, France). Hierarchical clustering of the antibiotic resistance phenotype was performed using Multi-Experiment Viewer (MeV 4.9.0).

Strains with a narrow diameter zone of inhibition (ZOI) less than 15 mm were picked out to confirm the minimal inhibition concentration value using other complementary tests, namely the E-tests method (BioMérieux) and UMIC test (Biocentric Bandol, France) [29]. Furthermore, strains were considered to be multidrug-resistant (MDR) if bacteria were resistant to more than three different classes of antibiotics.

Screening of colistin resistance genes

All bacteria with colistin MICcol ≥ 2 μg/mL as well as naturally resistant bacteria were subjected to several bio-molecular tests to screen for the following mcr genes: mcr-1, mcr-2, mcr-3, mcr-4, mcr-5 and mcr-8 [30]. It should be noted that naturally colistin-resistant bacteria can carry mcr genes such as Proteus mirabilis [31].

Bacterial DNA was first extracted using the EZ1 DNeasy Blood Tissue Kit (Qiagen GmbH, Hilden, Germany) [32]. The absorbance measurements for DNA purity ranged from 260 to 280 nm (Spectrophotometer ND-100, Nanodrop Thermo Fisher Scientific, Wilmington, DE, USA). The mcr genes were then detected using Real-Time Reaction. qPCR using CFX96 TM Real-time system/C. A positive control template was included in each qPCR with E. coli and Klebsiella pneumoniae carrying mcr genes as a positive control and E. coli ATCC 25 922 for the negative control. Strains were considered positive when the cycle threshold value of real-time PCR was ≤ 30. qPCR results were confirmed by ST-PCR and Sanger sequencing with blast and alignment analysis of the mcr genes sequence with ≥ 90% identity.

Genomic sequencing and bioinformatic analysis

The whole-genome sequencing of interest was performed using next-generation sequencing tools (NGS). The Illumina MiSeq sequencer (Illumina, San Diego, CA, USA) and Oxford Nanopore GridION sequencing were performed to have ultra-deep and best-quality reads [33, 34]. The sequenced genomes were assembled using Spades 3.5.0 software [35] and genome annotation was performed using Prokka [36]. Antibiotic resistance genes were investigated using different databases, including Resfinder [37], ARG-ANNOT [38], Card [39], and Plasmid Finder [40].

Descriptive and comparative statistical analysis

All the colistin-resistant bacteria were devised into two populations according to the Gram (GNB/GPB). The GNB colistin resistance population segregated into naturally and acquired colistin-resistant bacteria by two different mechanisms. Each criterion is represented by a number value of bacterial species. The result values were expressed as relative frequency (percentage) in each relevant animal population.

Results

Screening of colistin-resistant bacteria in animals

Culture on LBJRM selective medium allows isolation of a wide variety of colistin-resistant bacterial species in domestic animals. The results of the first round of samples collections between 2019 and 2020 from chicken, cattle, goat, sheep, and pigs yielded to 397 bacterial isolates composed by 35 different bacterial species from the LBJMR agar plates.

In the current study, for the chicken samples, 96% (n = 109) of 113 isolated strains were GNB. The dominant strains were naturally colistin-resistant: 75% of GNB were P. mirabilis and P. vulgaris. The GNB with acquired colistin resistance in chicken samples were: 12% (n = 13) E. coli, 4% (n = 5) Pseudomonas fragi, 4% (n = 5) P. lundensis, 2% (n = 2) Ewingella americana and 1% (n = 1) Citrobacter freundii.

Concerning faecal samples from cattle, 101 colistin-resistant bacteria were isolated and 73% of the isolates were GNB and 27% were GPB. 66% of GNB were naturally colistin-resistant bacteria including 7 Hafnia alvei and 42 P. vulgaris. GNB with acquired colistin resistance were 1% (n = 1) Achromobacter insolitus, 1% (n = 1) C. braakii, 1% (n = 1) C. freundii, 1% (n = 1) Enterobacter cloacae, 20% (n = 15) E. coli, 4% (n = 3) P. putida and 4% (n = 3) Yersinia entercolitica.

37 colistin-resistant bacteria were isolated and identified from goat samples. Of these, 95% were GNB and the naturally colistin-resistant strains were 3% (n = 1) Brucella grignonense and 60% (n = 21) H. alvei. In contrast, acquired colistin resistance in these GNB concerned 28% (n = 10) E. coli, 3% (n = 1) P. abietaniphila and 6% (n = 2) P. putida.

From sheep samples, 13 colistin-resistant bacteria were isolated, including 11 E. coli, 1 B. grignonense, and 1 H. alvei.

Regarding pigs, 53% (n = 71) of 133 isolated bacteria were GPB and 47% (n = 62) were GNB. 90% of GNB which were naturally colistin-resistant were 43% (n = 27) Providencia heimbachae, 47% (n = 29) P. vulgaris, P. hauseri, P. mirabilis and P. penneri. For acquired colistin resistance only 6 E. coli were isolated. The epidemiological results of identified bacteria in animals are illustrated in Figure 2.

Figure 2
figure 2

Network screening analysis of colistin-resistant bacteria isolated from faecal samples of domestic animals in France using Cytoscape 3.9.0. A Isolated colistin-resistant bacteria from chicken. B From cattle; C From goats; D From sheep; E From pigs. Colistin-resistant bacteria are divided into two batches according to the Gram GNB and GPB. Bacteria carrying mcr genes are distinguished by blue zigzag arrows (edge). The number of edges for each bacterial species represents the number of isolated bacteria. The size of nodes also shows the variable number of isolated bacteria.

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Indeed, 304 colistin-resistant bacteria were isolated from the second collection of pig samples conducted in 2021. Of the isolated bacteria, 94% were GPB. 60% (n = 176) of GPB were species of the genus Lactobacillus, found in the three types of samples (food, water, and stools). It should be noted that the probiotics used as a growth factor contained biomass of Lactobacillus which explains the propagation of this bacterial genus in pigs. A double cross-link of bacteria between food and faeces was found in the following species L. reuterii, L. plantarum, L. rahmnosus, Staphylococcus aureus, Bacillus clausii, Enterococcus faecalis, Pediococcus pentosaceus, P. acidilactici, and Cryptobacterium curtu. In addition, the cross-link between water and faeces was detected in L. agilis, L. mucosae, L. salivarius, E. hirae, E. faecalis, and P. pentosaceus. In contrast, a triple cross-link of bacteria was observed in P. pentosaceus. In one faecal sample, one Mycobacterium icosiumassiliensis (n = 1) was identified. Regarding, GNB 13 E. coli and 6 H. alvei were identified. Figure 3 illustrates the screening of colistin-resistant bacteria in pigs (faeces, feed, and water).

Figure 3
figure 3

Screening of colistin-resistant bacteria isolated from collected samples of pigs in 2021. Edges in black represent faeces samples, red for food, and blue for water. Bacteria are devised into two groups according to the Gram, mcr genes cross-link with E. coli.

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Phenotype of antibiotic resistance

The isolated bacteria with acquired colistin resistance were tested with E-test. All the tested bacteria had a minimal inhibition concentration MIC ≥ 2 and were therefore resistant to colistin. A series of antibiogram tests were carried out to determine the most common antibiotic resistance phenotype in colistin-resistant bacteria in animals.

All the isolated bacteria from the LBJMR medium were confirmed to be resistant to colistin with an inhibition zone diameter (ZOI) ≤ 15 mm. 86% and 64% of tested bacteria were resistant to amoxicillin and amoxicillin-clavulanic acid respectively, and included E. coli, P. lundensis, P. heimbachae, P. putida, P. fragi, A. insolitus, C. brakii and Y. enterocolitica. 34% of the isolates were resistant to piperacillin/tazobactam and included 1 C. freundii, 1 E. cloacae, 1 E. coli, 2 E. americana, 13 P. heimbachae, 5 P. fragi, 1 P. lundensis and 1 P. putida.

Regarding the cephalosporin family, 8% of bacteria were resistant to cefepime including 1 E. coli, 5 P. heimbachae, 1 P. putida and 2 P. lundensis. 17% were resistant to cefalotin and 12% were resistant to ceftriaxone. Interestingly, resistance to carbapenems was observed in this study. Indeed, 23% of bacteria were resistant to ertapenem including 22 P. heimbachae, 2 E. coli, and 1 E. cloacae. According to this study, 5% of the strains were resistant to fosfomycin and nitrofurantoin, including 3 E. coli, 1 P. putida, 1 P. lundensis and 1 P. heimbachae. Furthermore, less than 34% of tested bacteria were resistant to ciprofloxacin, amikacin, doxycycline, and gentamicin. The results of all antibiotic resistance phenotype are presented in Figure 4.

Figure 4
figure 4

Hierarchical clustering analysis of antibiotic resistance phenotype of colistin-resistant bacteria isolated from domestic animals in France using MEV 4.9.0 software. The green colour refers to the sensitive phenotype of the bacteria to the antibiotic, and the red colour refer to resistance. amoxicillin (AMX), amoxicillin-clavulanic acid (AMC), cefepime (FEP), piperacillin/tazobactam (TPZ), cefalotin (KF), ceftriaxone (CRO), ertapenem (ETP), imipenem (IMP), fosfomycin (FF), nitrofurantoin (F), trimethoprim-sulfamethoxazole (SXT), amikacin (AK), ciprofloxacin (CIP), doxycycline (DO), colistin (CT), and gentamicin (GN).

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Screening of colistin resistance mcr genes

In this study, mcr-1 was detected in almost all animal samples. The detection of mcr genes was confirmed by three polyphasic approaches. The CT values of the RT-PCR assays which were performed on all bacteria carrying mcr genes were less than 30 and all the screening results were confirmed by standard-PCR, by Sanger sequencing, and sequence analysis that revealed % of nucleotide identity ≥ 90 with the different mcr gene variants.

In faecal samples from chickens, the mcr-1 gene was detected in three E. coli isolates. Regarding cattle, the mcr-3 gene was found in three E. coli isolates. For the goat samples, the mcr-1 gene was detected in four E. coli isolates, while in the sheep samples, this gene was identified from 6 E. coli isolates. In the pig samples, an atypical n = 1 E. coli harbouring two mcr variants both mcr-1.1 and mcr-3.5 was isolated and we recently described its genomic characterisation [41]. In contrast, one year after the mcr genes were disseminated alongside the pig samples, nine E. coli were isolated, harbouring different variants of the mcr gene, including 7 mcr-1, 1 mcr-3, and the co-presence of one mcr-1/mcr-3. Those strains were MDR isolates with various antibiotic resistance genes against more than three antibiotic families (Figure 5). Furthermore, overall isolates carrying mcr genes have (MIC ≥ 4 mg/L) and qPCR CT values less than 30.

Figure 5
figure 5

Annotation heatmap of antibiotic resistance genes found in E. coli harbouring mcr genes isolated from faeces of pigs.

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Discussion

In this study, E. coli strains harbouring colistin resistance mcr genes were abundant in all animals. Thus, E. coli is one of the pathogenic bacteria agents in animals, particularly farm animals [42]. All E. coli strains can induce and cause nosocomial diseases associated with symptoms such as neonatal diarrhoea, post-weaning diarrhoea (PWD), and other pathologies including disease (OD), septicaemia, polyserositis, mastitis, and urinary tract infections [43]. In France, colistin-resistant E. coli from diseased pigs harbouring mcr-1 have been already reported [44]. Furthermore, colistin resistance in Salmonella spp is frequently low in comparison to the proportion of intrinsically colistin-resistant bacteria that were isolated from healthy animals including pigs, cattle, and poultry in different countries [2]. A previous study reported the dominance of GNB colistin-resistant strains in western France [45]. Since the discovery of the first plasmid carrying the mcr-1 gene in pigs from China, colistin resistance genes disseminated over the world, and animal gut became a source of colistin resistance [7]. Moreover, the discovery of the mcr-2 gene in Belgium was followed by the dissemination of colistin resistance across Europe [10]. However, despite the increasing number of studies describing mobile colistin-resistance genes, the relative frequency of natural resistance is found to be higher than acquired resistance. The faecal carriage of GNB with acquired colistin resistance was low with 1.4% in the presence of high intrinsically colistin-resistant bacteria with 23% [45]. One of the most recent studies of colistin resistance genes in pigs took place in 2009 and 2013, in which the mcr-1 gene was detected in 70 out of the 79 investigated pig samples [4]. Indeed mcr-1 and mcr-3 were found in E. coli also carrying blaCTX-M-55, which were isolated from healthy French cows in the IncF18 and IncF46 plasmids, respectively [46]. Between 2005 and 2014, the co-occurrence of the mcr-1 gene and extended-spectrum-β-lactamases (ESBL) from faeces of diarrhoeic veal calves was reported in France with a potential zoonotic transmission [47]. Furthermore, the emergence of colistin resistance worldwide is not necessarily related to colistin use. The transmission of colistin resistance is usually due to the zoonotic transmission of colistin-resistant genes via MGEs from animals to humans [48]. However, colistin selection pressure had a major role in colistin resistance due to the long use of this antibiotic as a growth promoter and as an antibiotic against carbapenem-resistant bacteria, causing various infectious diseases [2]. Sometimes, the recombination of several antibiotics is necessary when it concerns MDR bacteria such as K. pneumoniae reported in France carrying the mcr gene, blaOXA-48, and blaCTX-M-15 [49]. Many reviews have summarised the status of colistin resistance in animals around the world. In over 30 countries across five continents, the most prevalent colistin resistance genes are principally mcr-1 in western and southern Europe (Spain, Portugal, Germany, and Italy) [50]. In 2013, European countries estimated that the percentage of resistance to colistin in E. coli strains isolated from the digestive tract microbiota of healthy animals remained < 1% [51]. Salmonella spp and E. coli isolated from poultry in Italy have a sporadic instance of high colistin resistance levels [52]. The colistin resistance in animal food from Denmark is low due to the strict colistin use in their farms [53]. In Italy, turkeys had a greater prevalence of mcr-1 in E. coli (21.9%) compared to broilers (2%) and layer hens (9%) [52]. Between 2012 and 2016, a triple co-occurrence of mcr genes has been reported in healthy pigs, cattle, and poultry faeces in Belgium [54]. E. coli isolated from pigs and white stork in Spain has been reported as an mcr carriers in IncX4, IncHI2, and IncI2 [55].

Since 2012, animals have also been a discreet reservoir of colistin resistance in Brazil in food-producing animals (chicken, swine, cattle, goat) and companion animals (cats, dogs, horses) [56]. Remarkably, chickens, which are the principal animals for food consumption, show the greatest emergence of the mcr genes [20, 21, 57]. In 2021 in Iran, 607 E. coli isolates collected from broilers, ostriches, cattle, sheep, pigeons, and dogs were found to be carriers of plasmid-mediated colistin resistance genes (mcr-1 and mcr-2) [58]. The zoonotic transmission of mcr genes from pets to humans has been widely reported [59]. The transmission of colistin resistance genes between dogs and their owners, containing significant quantities of positive E. coli with the co-occurrence of blaCTX-M and mcr genes, has been detected in China [60]. It should be noted that mcr genes in dogs and cats have recently been reported in France [30]. Colistin resistance has also frequently been found in river water and vegetable samples in Switzerland [61] and other studies have found mcr genes in water in Malaysia [62]. A top public health goal is preventing the spread of colistin-resistant bacteria through zoonotic transmission.

In the current study, we concretely report the screening of colistin-resistant bacteria in animals. One limitation of this work can be highlighted concerning the use of the selective medium with colistin concentration of 4 μg/mL that may prevent the growth of bacteria with low colistin MIC (less than 4 μg/mL) and hosts of mcr genes. Otherwise, the intrinsic colistin resistance was abundant in studied samples compared to the acquired colistin resistance. We reported here colistin resistance genes (mcr) in various domestic animals for food consumption in France. Colistin is considered as a last resort antibiotic in France, and resistance to colistin in domestic animals is still prevalent. The factors inducing the dissemination of colistin resistance are multifactorial but are mainly via MGEs. MGEs carrying mcr genes easily promote the transmission of these genes from one ecosystem to another. The zoonotic spread of mcr genes should be investigated further to reduce the health risks associated with colistin resistance.

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Acknowledgements

The authors thank Idir Kacel and Ludivine Brechard for the sequencing genome and Andriamiharimamy Rajaonison for the rapid genomic analysis of the genomes. We would like also to thank Prof. Idir Bitam for his help.

Funding

The IHU-Méditerranée Infection supported this work (reference: Méditerranée Infection 10-IAHU-03).

Author information

Authors and Affiliations

  1. APHM, MEPHI, Faculté de Pharmacie, Aix Marseille Université, IRD, 19-21 Boulevard Jean Moulin, 13005, Marseille, France

    Afaf Hamame, Bernard Davoust, Bouthaina Hasnaoui, David Lupande Mwenebitu, Jean-Marc Rolain & Seydina M. Diene

  2. IHU-Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005, Marseille, France

    Afaf Hamame, Bernard Davoust, David Lupande Mwenebitu, Jean-Marc Rolain & Seydina M. Diene

  3. VITROME, 19-21 Boulevard Jean Moulin, 13005, Marseille, France

    Bouthaina Hasnaoui

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Contributions

Conceptualization, AH, J-MR and SMD; methodology, AH, and DLM; software, AH and SMD; validation, J-MR and SMD; formal analysis, AH, and BD; investigation, AH and BD; resources, SMD; data curation, J-MR; writing original draft preparation, AH; writing review and editing, SMD, and BD; supervision, J-MR, BD, and SMD. All authors read and approved the final manuscript.

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Correspondence to Seydina M. Diene.

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Hamame, A., Davoust, B., Hasnaoui, B. et al. Screening of colistin-resistant bacteria in livestock animals from France. Vet Res 53, 96 (2022). https://doi.org/10.1186/s13567-022-01113-1

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Keywords

Veterinary Research

ISSN: 1297-9716