Next Article in Journal
Suppressive Effect of Soil Microbiomes Associated with Tropical Fruit Trees on Meloidogyne enterolobii
Next Article in Special Issue
Oral Bacteria and Their Antibiotic Susceptibilities in Taiwanese Venomous Snakes
Previous Article in Journal
Infections Caused by Moellerella wisconsensis: A Case Report and a Systematic Review of the Literature
Previous Article in Special Issue
First Report of CC5-MRSA-IV-SCCfus “Maltese Clone” in Bat Guano
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Imported Pet Reptiles and Their “Blind Passengers”—In-Depth Characterization of 80 Acinetobacter Species Isolates

by
Franziska Unger
1,†,
Tobias Eisenberg
2,†,
Ellen Prenger-Berninghoff
1,
Ursula Leidner
1,
Torsten Semmler
3 and
Christa Ewers
1,*
1
Institute of Hygiene and Infectious Diseases of Animals, Faculty of Veterinary Medicine, Justus-Liebig University Giessen, 35392 Giessen, Germany
2
Hessian State Laboratory, 35392 Giessen, Germany
3
NG1 Microbial Genomics, Robert Koch Institute, 13353 Berlin, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2022, 10(5), 893; https://doi.org/10.3390/microorganisms10050893
Submission received: 27 March 2022 / Revised: 19 April 2022 / Accepted: 21 April 2022 / Published: 24 April 2022
(This article belongs to the Special Issue Wild Animal Pathogens and Antimicrobial Resistance)

Abstract

:
Reptiles are popular pet animals and important food sources, but the trade of this vertebrate class is—besides welfare and conservation—under debate due to zoonotic microbiota. Ninety-two shipments of live reptiles were sampled during border inspections at Europe’s most relevant transshipment point for the live animal trade. Acinetobacter spp. represented one significant fraction of potentially MDR bacteria that were further analyzed following non-selective isolation or selective enrichment from feces, urinate, or skin samples. Taxonomic positions of respective isolates were confirmed by MALDI-TOF MS and whole-genome sequencing analysis (GBDP, dDDH, ANIb, and rMLST). The majority of the 80 isolates represented established species; however, a proportion of potentially novel taxa was found. Antimicrobial properties and genome-resistance gene screening revealed novel and existing resistance mechanisms. Acinetobacter spp. strains were most often resistant to 6–10 substance groups (n = 63) in vitro. Resistance to fluorchinolones (n = 4) and colistin (n = 7), but not to carbapenems, was noted, and novel oxacillinase variants (n = 39) were detected among other genes. Phylogenetic analysis (MLST) assigned few isolates to the known STs (25, 46, 49, 220, and 249) and to a number of novel STs. No correlation was found to indicate that MDR Acinetobacter spp. in reptiles were associated with harvesting mode, e.g., captive-bred, wild-caught, or farmed in natural ecosystems. The community of Acinetobacter spp. in healthy reptiles turned out to be highly variable, with many isolates displaying a MDR phenotype or genotype.

1. Introduction

The genus Acinetobacter is highly diverse [1] and comprises, at the time of writing, approximately 73 validly published species (https://lpsn.dsmz.de/genus/acinetobacter (accessed on 8 February 2022)). Members of this genus are Gram-stain negative cocci or cocco-bacilli that are non-motile, non-spore-forming, strictly aerobic, cytochrome-oxidase negative, and catalase-positive bacteria [2]. Despite one of the genus’ major characteristics of being non-fermentative bacteria, members have been found to survive under different environmental conditions without oxygen for prolonged periods of several weeks. This is also true for A. baumannii [3], one of the most important nosocomial microorganisms that forms a species complex with the emerging opportunistic pathogens A. calcoaceticus, A. pittii, A. nosocomialis, and some other species [4] that are responsible for healthcare-associated outbreaks and severe infections, particularly in critically ill patients with impaired immunity [5,6]. Acinetobacter spp. are notorious for the accumulation of antibiotic resistance genes, which represents—together with other multiple drug resistant Gram-negative (MRGN) bacteria—an ever-increasing problem for global public health [6]. Furthermore, A. baumannii is referred to as an “ESKAPE pathogen”, an acronym that further includes Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Enterobacter spp., as potentially life-threatening, multiple-drug resistant (MDR), and virulent nosocomial pathogens [7]. A high number of Acinetobacter spp. has originally been described from human clinical specimens [8]. However, other sources from the environment include activated sludge [9], wetlands [10], forest soil [11], seawater [12], dumpsites [13], manure and anaerobic digestates of biogas plants [3], wastewater [14], and freshwater [15].
From a veterinary perspective, Acinetobacter spp. are also frequently isolated from companion [16,17,18], zoo [19], wildlife animals [20,21] and livestock [22,23,24,25,26], and their role as nosocomial MRGNs has also been evaluated as critically important in animal clinics and patients suffering from, e.g., skin, wound, and systemic infections [27]. Direct zoonotic transmission chains seem to be rare, but companion animals represent a potential source for spillover in this regard [16,28,29,30]. Furthermore, Acinetobacter spp., particularly those colonizing livestock, were discussed as being adapted to certain animal reservoirs or as representing a potential source for food contamination, and can thus contribute to the colonization among humans and the contamination of their surroundings in the context of One Health issues [22,23,31,32,33,34].
Eventually, several studies also found Acinetobacter spp. in free-ranging, as well as in ex-situ-bred, members of the vertebrate class of reptiles [35,36], which might have implications with respect to their roles as important food sources in some countries [37] and as popular pet animals [38,39]. Possible spread events of MDR between reptiles and humans seem to be, at the least, probable since identical clones of ESBL-producing Enterobacteriaceae have recently been found in geckos living in close proximity to patients in a hospital in Ghana [40]. Our group has previously published preliminary findings on mcr-1 positive Escherichia coli isolated from imported reptiles during border inspections [41]. We hypothesized that intemperance and amount of antimicrobial use in third countries might have an influence also on MDR microbiota in reptiles, especially when they are farmed in or near natural ecosystems. We here provide results on MDR of the fraction of Acinetobacter spp. that were isolated in a cross-sectional study evaluating 92 shipments of live reptiles, representing 160 batches of single species. Importations and samplings were carried out at the Frankfurt Airport, Germany, which represents the most relevant transshipment point for the trade of live animals worldwide [42].

2. Materials and Methods

2.1. Sample Collection

Between July 2013 and May 2014, samples from imported reptiles were drawn at the Frankfurt Airport, Germany. The sampling was carried out in cooperation with authorized veterinarians from the Border Control Post of the Frankfurt Airport during import control at the Frankfurt Animal Lounge directly after the arrival of the animals.
The investigated reptiles were assigned to the orders Squamata (lizards and snakes) and Testudines (turtles). The different shipments contained either one or several species that were transported in separate boxes, according to the guidelines of the International Air Transport Association (IATA). A total of 92 shipments were included, and each animal species per shipment was considered as one sample batch (n = 160), from which one or more samples were obtained (n = 183). Specimens collected were remnants of ecdysis (shed skin), feces (90% of the specimens), urinate (separate or mixed; n = 164) or swabs from the skin surface. The 92 shipments came from 23 different countries in Africa (Egypt, Madagascar, Mozambique, Uganda, South Africa, and the United Republic of Tanzania); North America (Canada and USA); Central and South America (Brazil, Ecuador, El Salvador, Guatemala, Guyana, Colombia, Nicaragua, and Panama); Asia (China, Japan, Turkey, Uzbekistan, and Vietnam), and Europe (Macedonia and Ukraine). The majority of shipments came from the USA (38.0%), Vietnam (10.9%), Uzbekistan (9.8%), Ukraine, and Canada (5.4% each).
The reptiles from this study could be assigned to different natural sources (Supplementary Table S1). A major proportion represented obviously captive-bred species (CB (33.8%); e.g., Pogona vitticeps from the USA). In a few cases, a clear assignment remained uncertain because captive breeding seemed principally possible, but not economical in large quantities and in the light of nearby, wild, autochthonous or allochthonous (i.e., neozoon) populations (presumably CB (3.2%); e.g., declared CB Sceloporus malachiticus from the USA that naturally occur in nearby Central America). Based on our experience, we assigned the remaining species as wild-caught (WC (28.3%); e.g., Physignathus cocincinus from Vietnam), farm-bred (FB (19.8%)); also including ranched species (reared in a controlled environment, taken as gravid females, eggs, or juveniles from the wild) that according to the CITES glossary [43] would “otherwise have had a low probability of surviving to adulthood”, and releasing a proportion back into the wild [26]. A minority of samples were obtained from species that could not unequivocally be assigned to one of the former groups and represented wild-caught or farm-bred/captive-bred (WC/FB (14.0%) or WC/CB (1.1%)) reptiles.

2.2. Bacterial Isolates and DNA Extraction

All samples were stored in sterile, fecal sample tubes at 4–7 °C until they were transported to the laboratory. Within no more than 48 h after sampling, fecal and urinate samples were directly streaked on blood agar (Merck, Darmstadt, Germany), supplemented with 5% sheep blood (SBA), water-blue-metachrome-yellow-lactose agar (Gassner), (Oxoid, Wesel, Germany), and on MacConkey agar (Oxoid) containing 1 mg/L cefotaxime (Sigma-Aldrich/Merck). Skin samples were re-suspended in 0.9% NaCl prior to cultivation, and 100 µL aliquots were streaked onto the same media. The plates were cultured for 24 h at 37 °C. In addition, all samples were cultivated in 3 mL, standard I nutrient broth (Roth GmbH + Co. KG, Karlsruhe, Germany), supplemented with a 10 µg meropenem disc (Mast Group Ltd., Reinfeld, Germany) for 24 h at 37 °C. In case of visible growth (at least slight turbidity of the broth), 50 µL of the solution was streaked onto SBA and Gassner agar and incubated for 24 h at 37 °C. Each sample was additionally inoculated into 5 mL of nutrient broth supplemented with bovine serum (cultivated at 37 °C for 24 h) as a kind of enrichment culture. Morphologically different colonies were again subcultured on SBA and Gassner agar, and presumptive Gram-negative bacteria, including putative Acinetobacter spp., were stored at −80 °C in a liquid nutrient broth containing 20% glycerol before they were used for further analysis. DNA was extracted with a “Master Pure™ DNA Purification Kit” (Biozym Scientific GmbH, Hessisch Oldendorf, Germany).

2.3. Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)

To identify Acinetobacter spp. among the presumptive Gram-negative isolates MALDI-TOF MS was used with isolates grown on SBA for 24 h. The workflow was performed as recently described [44]. Biomass was transferred to steel targets using the direct transfer protocol according to the manufacturer’s instructions (MALDI Biotyper; Bruker Daltonik, Bremen, Germany). Analysis was performed on a microflex LT mass spectrometer (Biotyper version 3.3.1.0 with MBT compass software). The database used (DB 9045 plus user-derived spectra of A. pseudolwoffii and A. stercoris-type strains) comprised 40 species and 154 strains of Acinetobacter spp. in total. The MALDI Biotyper real-time classification (RTC) software calculates log scores based on similarities between the observed results and stored database entries. Correct species-level identifications were assumed when the first- and second-best matches indicated the same species with log scores of >2.0, or when the best match indicated a species with a log score of >2.0, and the second-best match indicated a different species with a log score of <2.0 and consistency category A. The identification was done in duplicate to verify the original findings. Isolates identified as at least Acinetobacter spp. were stored at −80 °C for further investigations.

2.4. Antimicrobial Susceptibility Testing

All 80 non-duplicate Acinetobacter spp. isolates were screened for reduced susceptibility to different antimicrobial substances. Briefly, antimicrobial susceptibility testing was carried out using the broth microdilution susceptibility testing method. A commercially available panel layout for livestock (Micronaut/Bruker according to the guidelines of the working group for antimicrobial resistance of the German Veterinary Society, (DVG) was used. In this layout, 16 different antimicrobial substances (in µg/mL: amoxicillin/clavulanic acid (2/1–16/8), ampicillin (0.25–16), ceftiofur (0.125–4), cephalothin (1–16), colistin (0.5–2), enrofloxacin (0.016–1), erythromycin (0.125–4), florfenicol (1–8), gentamicin (0.125–8), penicillin G (0.063–8), spectinomycin (4–64), tetracycline (0.25–8), tiamulin (0.25–32), tilmicosin (0.5–16), trimethoprim/sulfamethoxazole (0.25/4.75–1/19), and tulathromycin (1–64))) were employed. Results were interpreted for human Acinetobacter species according to European Committee on Antimicrobial Susceptibility Testing (EUCAST, version 11.0) for broth dilution susceptibility testing and when clinical breakpoints were available.

2.5. Whole-Genome Sequencing Analysis and Bacterial Species Confirmation

All isolates were subjected to whole-genome sequencing. Sequencing libraries were prepared using the Nextera XT Library Preparation Kit (Illumina GmbH, Munich, Germany) for a 250 bp paired-end sequencing run on an Illumina MiSeq sequencer (Illumina Inc., San Diego, CA, USA) with a minimum coverage of 100-fold. FASTQ files were quality trimmed before they were assembled de novo and annotated using SPAdes v.3.15.1 (http://cab.spbu.ru/software/spades/ (accessed on 10 September 2021)) and RAST v.2.0 (http://rast.nmpdr.org/ (accessed on 10 September 2021)).
Draft genome sequence data of 80 Acinetobacter spp. were uploaded to the Type (Strain) Genome Server (TYGS), a free bioinformatics platform available under https://tygs.dsmz.de (accessed on 8 February 2022), for a whole-genome-based taxonomic analysis [45]. The analysis also made use of recently introduced methodological updates and features [46]. Information on nomenclature, synonymy, and associated taxonomic literature was provided by the TYGS’s sister database, the List of Prokaryotic names with Standing in Nomenclature (LPSN, available at https://lpsn.dsmz.de (accessed on 8 February 2022)) [46]. The results were provided by the TYGS on 9 February 2022. The TYGS analysis was subdivided into the following steps:
Determination of the closest type strain genomes was done in two complementary ways: First, all user genomes were compared against all type strain genomes available in the TYGS database via the MASH algorithm, a fast approximation of intergenomic relatedness [47], and the 10 type strains with the smallest MASH distances were chosen per user genome. Second, an additional set of 10, closely related type strains was determined via the 16S rRNA gene sequences. These were extracted from the user genomes using RNAmmer [48], and each sequence was subsequently BLASTed [49] against the 16S rRNA gene sequence of each of the 15,873 type strains available in the TYGS database (as of 9 February 2022. This was used as a proxy to find the best 50 matching type strains (according to the bitscore) for each user genome, and to subsequently calculate precise distances using the Genome BLAST Distance Phylogeny approach (GBDP) under the algorithm “coverage” and distance formula (d5) [50]. These distances were finally used to determine the 10 closest type strain genomes for each of the user genomes.
For the phylogenomic inference, all pairwise comparisons among the set of genomes were conducted using GBDP and accurate intergenomic distances inferred under the algorithm “trimming” and distance formula (d5) [50]. A total of 100 distance replicates were calculated for each one. Digital DNA–DNA hybridization (dDDH) values and confidence intervals were calculated using the recommended settings of the GGDC 3.0 [46,50]. The resulting intergenomic distances were used to infer a balanced minimum evolution tree with branch support via FASTME 2.1.6.1, including SPR postprocessing [51]. Branch support was inferred from 100 pseudo-bootstrap replicates each. The trees were rooted at the midpoint [52] and visualized with PhyD3 [53].
The type-based species clustering using a 70% dDDH radius around each of the 79 type strains was performed as previously described. Draft genomes of the 80 Acinetobacter species were additionally uploaded to JSPeciesWS (Ribocon GmbH, Bremen, Germany, Version 3.9.0), an online platform for a BLAST-based measurement of the average nucleotide identity (ANIb), which contained 14,976 type strain genomes and a total of 55,565 genomes at the date of analysis (21 February 2022) [54]. Finally, we performed a ribosomal multilocus sequence typing (rMLST) analysis using the PubMLST.org website [55].

2.6. Antimicrobial Resistance Gene Screening

The online platform tool ResFinder version 4.1, provided by the Center of Genomic and Epidemiology [56], was used to identify resistance genes based on whole-genome sequence data. In addition, we used the Resistance Gene Identifier (RGI) software of the Comprehensive Antibiotic Resistance Database to predict resistance genes [57].

2.7. Detection of Oxacillinase Genes and Phylogenetic Analysis

Nucleotide and amino acid sequences of intrinsic oxacillinases were used to query the NCBI nucleotide, genome, and protein databases using BLAST, implemented in Geneious (version 8.1.9, Biomatter Ltd., Auckland, New Zealand). A total of 970 blaOXA sequences (available on 30 December 2021) were aligned with blaOXA sequences from the reptile A. baumannii isolates. A maximum likelihood phylogeny of blaOXA genes was estimated using FastTree. A translation of the nucleotide alignment was used to identify all OXAs that were different from currently known variants. Novel blaOXA genes were submitted to GenBank.

2.8. Multilocus Sequence Typing of Acinetobacter Species and Assignment of A. baumannii Isolates to International Clones

Multilocus sequence types (STs) according to the MLST scheme developed by the Pasteur Institute [58] were deduced from whole-genome sequence data using PubMLST (https://pubmlst.org/bigsdb?db=pubmlst_abaumannii_seqdef (accessed on 1 October 2021)). This typing tool allows for the definition of STs for A. baumannii and for other Acinetobacter species. In the case that novel alleles and allele profiles were identified, they were submitted to the database curator to designate novel allele and ST numbers. International clones (IC) IC1 to IC3 were identified by multiplex-PCR [59]. In addition, a whole-genome-based comparison of all A. baumannii isolates from reptiles with representative genomes of IC1 to IC9 was performed to categorize the strains under study into the different clonal groups. In the case that isolates could not be assigned to an IC, their genomes were submitted to BacWGSTdb 2.0, a repository for bacterial whole-genome sequence typing and source tracking [60]. The tool “single genome analysis” was used to identify close isolates from the database based on a SNP strategy using a threshold of 1000 SNPs. The first three genomes that matched with our isolates were included in an SNP-based genome comparison.

3. Results

3.1. Sample Collection

Out of 160 sample batches, 183 specimens (162 fecal, 15 skin, 3 urinate, and 3 mixed fecal/urinate) were acquired. Based on MALDI-TOF MS analysis data, presumptive Acinetobacter spp. were present in 45.7% of 92 shipments, in 57 (35.6%) of 160 batches/sample units, and in 58 (31.7%) of 183 specimens. In accordance with the high number of shipments from the USA and some other countries, most of the 80 Acinetobacter spp. isolates were obtained from samples from the USA (46.25%); Ukraine (10.0%); Canada (8.75%); and Vietnam (7.5%); but also from South Africa (5.0%); El Salvador, Madagascar, and Nicaragua (3.75% each); Uzbekistan (2.5%); and Brazil, Ecuador, Japan, Colombia, Mozambique, the United Republic of Tanzania, and Uganda (1.25% each). Acinetobacter spp. isolates were retrieved from Squamata (77.5%) (83.9% lizards and 16.1% snakes) and from Testudines (22.5%) (100% turtles and tortoises).
The reptiles from which the 80 Acinetobacter spp. were isolated represented both, obviously CB species, which accounted for 42.5% of the isolates (Table 1). Contrarily, 23.8% of the isolates were obtained from WC animals, followed by FB reptiles (21.3%). A small proportion of 10 isolates (12.5%) was gained from wild-caught or farm-bred/captive-bred (WC/FB or WC/CB) reptiles.

3.2. Species Identification Based on MALDI-TOF MS Analysis and Whole-Genome Sequence Analysis

Using MALDI-TOF MS, 60 of the 80 isolates from this study could be assigned to the following species with unequivocal quality results (Supplementary Table S2): A. baumannii (n = 23), A. bereziniae (n = 4), A. calcoaceticus (n = 5), A. courvalinii (n = 1), A. lactucae (syn. A. dijkshoorniae) (n = 3), A. indicus (n = 1), A. johnsonii (n = 1), A. nosocomialis (n = 3), A. pittii (n = 12), A. radioresistens (n = 4), A. schindleri (n = 1), A. seifertii (n = 1), and A. towneri (n = 1). Twenty strains gave unreliable results with respect to a species-specific identification.
As a countercheck to MALDI-TOF MS analysis, species IDs were investigated by different sequence-based analysis tools. The results are summarized in Supplementary Table S2. The species determination and dDDH values resulting from TYGS analysis revealed 62 isolates that were clearly assigned on a species level, while 18 isolates were identified as potentially new species (d4 value < 70.0%). The species clusters resulting from this analysis are additionally listed in Supplementary Table S3, whereas the taxonomic identification of the query strains is found in Supplementary Table S4. The clustering of non-baumannii Acinetobacter spp. isolates yielded 81 species clusters, and the provided query strains were assigned to 30 of these. The taxonomic placement of 57 non-baumannii Acinetobacter spp. isolates is shown in Supplementary Figure S1.
Based on ANIb analysis, 70 isolates were reliably assigned to a species level, while 10 isolates revealed identity values below the threshold of 95%. Lastly, when using the rMLST species ID tool (https://pubmlst.org/species-id (accessed on 8 February 2022)), 62 isolates fulfilled the criteria for a clear species identification, while the genomes of 18 isolates where either below the cutoff value (≤95%) or showed percentages of similarity to reference strains of two different Acinetobacter species.
Overall, congruent results by the different methods were only produced for 43 isolates (53.75%), including all 23 A. baumannii isolates. In the case that an isolate revealed congruent results with at least two of the methods, we assumed that as a reliable species identification. This was the case for 67 isolates (83.75%), in alphabetical order: A. baumannii (n = 23), A. bereziniae (n = 6), A. calcoaceticus (n = 2), A. courvalinii (n = 2), “A. geminorum” (n = 1; not validly published), A. gerneri (n = 1), A. indicus (n = 1), A. lactucae (n = 2), A. nosocomialis (n = 2), A. oleivorans (n = 2), A. pittii (n = 9), A. radioresistens (n = 4), A. schindleri (n = 2), A. seifertii (n = 2), A. soli (n = 1), A. tandoii (n = 1), A. towneri (n = 1), A. variabilis (n = 1), and A. vivianii (n = 4). Another 13 isolates showed incongruent results in at least three of the methods applied and were therefore defined as A. lactucae-like (n = 3), A. pittii-like (n = 2), A. calcoaceticus-like (n = 2), A. courvalinii-like (n = 3), A. gerneri-like (n = 1), A. tandoii-like (n = 1), and A. johnsonii-like (n = 1) (Table 1).

3.3. Phenotypic Antimicrobial Resistance

Using the broth microdilution method in a commercial veterinary layout that includes 16 antimicrobial substances from 10 different substance groups, MIC values and—where available—clinical breakpoints (according to EUCAST v. 11.0) were obtained for all isolates in order to screen for MDR patterns. Most of the 80 Acinetobacter isolates under study showed high MIC values (in µg mL−1) as expected for penicillin (>8; n = 73), ampicillin (≥4; n = 73), amoxicillin/clavulanic acid (≥4/2; n = 71), cephalothin (≥16; n = 78), and ceftiofur (≥4; n = 72) (Supplementary Table S5). Mainly high MIC values were also found for florfenicol (≥4; n = 71), erythromycin (≥4; n = 74), tilmicosin (≥16; n = 74), tulathromycin (≥32; n = 68), tiamulin (≥32; n = 68), and spectinomycin (≥64; n = 62). Contrarily, the majority of strains displayed low MIC values for gentamicin (<4; n = 79), fluorchinolones (enrofloxacin <1; n = 75), colistin (≤2; n = 73), tetracycline (≤4; n = 66), and trimethoprim/sulfamethoxazole (≤2/38; n = 70). Irrespective of intrinsic resistances but rather based on high MIC values, Acinetobacter spp. strains were most often resistant to six substance groups (n = 49). A rather uncommon phenotype was observed in 9 strains with resistance to only 1–4 substance groups, the majority of which were characterized by low MIC values against penicillins (IHIT33475 (IHIT is an acronym for the German term for the Institute of Hygiene and Infectious Diseases of Animals), IHIT44651, IHIT44670, IHIT44680, and IHIT44681). A total of 14 strains were resistant against 7, 8, and 10 substance groups with A. bereziniae IHIT44655 (bearded dragon, Ukraine) showing the highest resistance phenotype. With respect to critically important antimicrobials, in vitro resistance to fluorchinolones and colistin are of particular interest. Whereas one of each strain of A. towneri (IHIT44651), A. bereziniae (IHIT44655), A. schindleri (IHIT44667), and A. pittii (IHIT44689) were resistant to enrofloxacin, three strains of A. bereziniae (IHIT44655, bearded dragon, Ukraine; IHIT44657, Turtle, USA; and IHIT44690, water dragon, Vietnam), one A. gerneri (IHIT44652, sand monitor, Vietnam), one A. courvalinii (IHIT44688, green spiny lizard, USA), one A. oleivorans (IHIT44694, sand monitor, Canada), and one A. johnsonii-like isolate (IHIT44693, sand monitor, Canada) showed colistin resistance in vitro.

3.4. Antimicrobial Resistance Genes

Among the 80 Acinetobacter spp. isolates under study, 9 (11.3%) carried tet(39) and 6 strains (7.5%) were positive for tet(B). A novel tet(X)-variant (tet(X5)-like) was identified in an A. towneri (IHIT44651) that was isolated from a red-footed tortoise from Colombia (Supplementary Table S5). Sulfonamide gene sul2 was displayed by 11 strains (13.8%). Several genes encoding aminoglycoside-modifying enzymes were identified, however in low frequencies: aac(6‘)-Ir (7.5%), strA, strB and aph(3‘)-III (2.5% each), aadB, aac(3)-IIa, aac(6‘)-Ia, aph(3‘)-IX, and aph(3‘)-X (1.25% each). One strain of A. schindleri (IHIT44667) possessed the florfenicol resistance gene floR, whereas all of the A. baumannii isolates and nearly half (49.1%) of the 57 of non-baumannii isolates had the chromosomally encoded ADC cephalosporinase.

3.5. Intrinsic Oxacillinase Genes and Novel OXA Protein Variants

The diversity of the blaOXA-like gene sequences from reptile Acinetobacter spp. isolates was high, not only between the different species, but also among isolates of the same bacterial species. A total of 70 strains (87.5%) carried an intrinsic oxacillinase gene with 19 known and 39 novel protein variants, designated as OXA-799, OXA-800, OXA-809, OXA-813, OXA-820, OXA-978 to OXA-1010, and OXA-1052 (Table 1, Supplementary Table S7). An additional OXA-allele variant with 99.3% amino acid similarity to OXA-715 of the OXA-51 family was found to be non-functional due to the introduction of an internal stop codon at position 42 (A. baumannii isolate IHIT35894). Based on a comparison of OXA amino acid sequences from reptile Acinetobacter spp. isolates and sequences available in the database, we identified the most-closely related OXA-alleles. They were included in a phylogenetic tree that was created based on aligned amino acid sequences (Figure 1). As expected, OXA-alleles basically clustered with OXA-type families and their variants that are intrinsic in the different Acinetobacter species, such as the OXA-51-like variant in A. baumannii, the OXA-272-like variant in A. pittii, or the OXA-23-like variant in A. radioresistens. For A. baumannii, it has been shown that the clonal affiliation of an isolate basically correlates well with specific variants of the blaOXA-51-like gene [61]. Here, some of the OXA-variants did not follow the phylogeny of A. baumannii. For example, OXA-65 occurred in ST727 (IHIT35877; shipment 2/batch 5; sand monitor; USA) and ST1211 (IHIT35878; shipment 18/batch 23; green basilisk, USA), two sequence types that differ in all alleles of the seven-gene MLSTPast scheme. Also, other OXA-types, such as OXA-69 (ST1212 and ST1295), OXA-91 (ST1111 and ST1297), and OXA-104 (ST46 and ST1293) were identified in different STs that varied by 4 to 7 MLST alleles. This incongruence was also seen for some of the other Acinetobacter species, as shown in Supplementary Table S6.

3.6. MLST and International Clones

The 23 A. baumannii isolates belonged to 20 distinct STs according to the Pasteur scheme; there were 13 novel STs (Table 1, Supplementary Table S6). Two strains, isolated from a ball python from Canada (IHIT35882; shipment 33/batch 50) and a rainbow boa from the USA (IHIT35887, shipment 42/batch 64) belonged to the worldwide-distributed ST25, which belongs to IC7. Based on cgMLST analysis using the BacWGSTdb online tool and its data deposits, IHIT35887 particularly revealed a close relationship, differing by 62 to 139 alleles to ST25 isolates from other sources, such as IHIT38008 (dog, urine, Germany, 2018), AB24 (human, pus, Malaysia, 2012), 4300STDY7045893 (human, Thailand, 2016), and NM3 (human, sputum, United Arab Emirates, 2008). The second isolate, IHIT35882, revealed the lowest number of different alleles (136–266) to A. baumannii OCU_Ac2 (blood culture, hospitalized patient, Japan, 2014), OIFC143 (human, USA, 2003), IHIT38008 (urine, dog, Germany, 2018), and MRSN14237 (wound, human, Honduras, 2012).
Based on the comparison of the core genome of reptile A. baumannii isolates and representative A. baumannii isolates of IC1–IC9, other ICs (other than IC7) could not be assigned to the reptile isolates (Figure 2). The majority of non-IC1–IC9 isolates were singletons for which no related genome could be found in the database (BacWGSTdb). However, ST294 isolates IHIT35881 (central bearded dragon, USA, shipment 27/batch 40) and IHIT35891 (rough green snake, USA, shipment 51/batch 80) clustered close to ST294 isolate PG20180064, which was isolated from a mouse in Canada in 2018) and to IHIT32296, an OXA-72-producing strain recently published by our group (grey parrot, Luxembourg, 2016) [63]. Also, ST46 isolate IHIT35895 (common green iguana, El Salvador) clustered together with genomes from the database, e.g., ST46 isolates 57185_12EESBL (biogas plant, Germany, 2012), R20 (human, USA, 2016), and ST149 isolates SP816 and BA22685 (both isolated from humans, India, 2019).
Non-baumannii Acinetobacter spp. isolates were mostly assigned to novel STs. Only A. pittii isolates IHIT44689 (yellow-headed gecko, Japan) and IHIT44691 (painted wood turtle, Nicaragua), belonged to the previously known ST220 that has been described for human clinical isolates in different countries, including carbapenemase-producing isolates in Japan [64] and Thailand [65].

4. Discussion

Although antimicrobial treatments are usually not carried out in wildlife animals, a growing number of reports have been published on MDR bacteria in wild and game animals. The spillover of antimicrobials and MDR bacteria into ecosystems and direct or indirect contact with MDR-shedders also seems to play a pivotal role in the acquisition of resistance genes in wildlife. In this regard, we hypothesized that poor hygienic and environmental conditions in habitats and breeding facilities might be correlated with increased rates of MDR bacteria and their global distribution in imported reptiles [66]. Very few studies have sampled reptiles directly at the point of entry in order to prevent bias of the detected microbiota from inland sources. Therefore, the aim of the current study was to evaluate a fraction of Acinetobacter spp. in healthy reptiles during importation at border inspection. Results on other microbiota from the same sampling have been reported [41] and will be published elsewhere. The Frankfurt Airport in Germany, is regarded as one of the most important hubs in animal importation, worldwide. In 2019, 306 shipments declared as ‘reptiles’ were registered for import into the European Union, and 93 shipments were sent in transit with a total number of 968,192 live reptiles imported from 21 third-party countries [67]. Although the importation of wild-caught animals has been widely banned, a considerable number of the imported species under study seemed to represent specimens that had been collected from natural resources (Supplementary Table S1), while the majority of species had been bred or raised in breeding facilities for the pet market and as laboratory animals. In the present study, 92 shipments containing live reptiles were tested for the presence of MDR bacteria, and the dataset of Acinetobacter spp. isolates has been further elucidated. Generally, Acinetobacter spp. are regarded as non-pathogenic bacteria in reptiles; some infections seem to be closely related to immune compromise [36]. This bacterial group may possess a highly diverse array of beta-lactamases that hydrolyze and confer resistance to penicillins, cephalosporins, and carbapenems [5,44]. This was in agreement with our study population since Acinetobacter spp. isolated from pet reptiles displayed in more than 60% of the isolates the chromosomally encoded ADC cephalosporinase. In addition, 87.5% of the isolates contained highly diverse intrinsic oxacillinase genes with 37 novel variants. There are several indications that typing of clinical isolates of A. baumannii belonging to ICs by MLST correlates well with specific OXA-51-like variants [21,61]. We have identified some OXA-51-like variants in the reptile A. baumannii isolates, such as OXA-64, OXA-65, and OXA-69, that are commonly found in the well-described clinical A. baumannii international clonal lineages IC7, IC5, and IC1. However, only the OXA-64 isolates clustered well with IC7 reference genomes, while we found no significant similarity between OXA-65 (IHIT35877 and IHIT35877; both from lizards from the USA) and OXA-69 isolates (IHIT35892 and IHIT35893; lizards, El Salvador and USA) and any of the clinical A. baumannii IC lineages (Figure 2). This, together with findings from others [21,25], indicates that MLST types and OXA-51-like variants are not strictly correlated. Notably, both studies observed this convergent evolution of blaOXA-51-like genes among A. baumannii isolates from non-human sources, namely white storks in Poland and Germany, and livestock and food samples in Lebanon. We recommend further investigating the extent to which OXA proteins from animal sources may act as indicators of the clonal affiliation of A. baumannii isolates.
Almost 20% of the reptile isolates simultaneously displayed reduced susceptibility or resistance to tetracyclines, which are encoded by two major groups of tet genes. The first group mediates energy-dependent efflux pumps for tetracyclines (tet(A), tet(B), tet(H), and tet(39)) and was represented by 21 isolates, whereas the second group confers resistance by ribosomal protection (tet(M)). Acinetobacter towneri isolate IHIT44651 (red-footed tortoise, Colombia) contained a tet(X3)-like gene associated with tigecycline resistance. However, the isolate demonstrated low MIC for tigecycline as determined by a MIC test strip (MIC 0.38 mg/L; Liofilchem Diagnostica). Other resistance patterns included aminoglycoside resistance genes in 18 strains, sulfonamide resistance in 11 strains, and a florfenicol resistance gene in A. schindleri (strain IHIT44667). The goal of the current study was to assess the presence of Acinetobacter species and other Gram-negative bacterial species (data not shown) of supposed pet reptiles during the process of importation. The magnitude and variability of resistance, assessed solely in one bacterial genus, Acinetobacter, suggests that imported reptiles are an underestimated source of resistant bacteria. In this regard, the vast majority (78.8%) of the study population showed phenotypical resistance to 3 (n = 2), 4 (n = 1), 5 (n = 7), 6 (n = 49), 7 (n = 1), 8 (n = 3), and 10 (n = 1) antimicrobial drug classes. Contrarily, resistance gene screening revealed evidence for only 0 (n = 3), 1 (n = 43), 2 (n = 20), 3 (n = 12), 4 (n = 1), and 5 (n = 1) groups of specific resistance genes, which can best be explained by as-yet-undetermined, intrinsic resistance mechanisms. Eventually, strains IHIT33475 and IHIT44676 both contained at least one tet resistance gene that was seemingly not expressed in vitro. None of the strains from the present study was found with phenotypical or molecular evidence for carbapenem resistance.
The SNP-based phylogeny, as well as the assessment of the MDR genotype, revealed several relationships to the resistant Acinetobacter spp. that have been isolated from other clinical sources. The two A. baumannii strains, IHIT35882 and IHIT35887 from a ball python (Canada) and a rainbow boa (USA), respectively, turned out to belong to ST25 (IC7), which represents a clonal lineage of clinically relevant strains with an MDR phenotype (including carbapenem resistance) that emerged on different continents over the last decade and was also reported in animals, including pets and wild birds [21,68,69,70,71]. One of our isolates was affiliated with a group of human clinical isolates which belonged to ST46 and related STs and which were not linked to a distinct ST. It remains to be seen if the worldwide, increasing number of A. baumannii genomes that is becoming available from different sources, including clinical, non-clinical, animal, and human sources, will lead to the establishment of novel A. baumannii ICs and a more complex understanding of the molecular epidemiology of this important pathogen.
From a zoonotic perspective, imported reptiles are almost exclusively sold as pets and—contrarily to the situation in some of their home countries—are not utilized as food sources following importation. However, zoonotic bacteria, especially Salmonella [72], are well-known pathogens that frequently occur in reptiles and might—under inadequate hygienic conditions—be transferred to humans. The same situation must also be anticipated with MDR bacteria, and a spillover of these bacterial genes might occur via wastewater and terrarium soil, for example. Studies on findings of MDR bacteria in reptiles have increased in recent years. Among the reasons for conducting this kind of research were proofs for anthropogenic changes, including conservation issues, ecosystem health status, and environmental pollution [66,73,74]; veterinary aspects [75,76]; and possible zoonotic infections [40]. Most studies have been conducted to assess the health situation of reptiles in their ecosystems or when injured reptiles suffered from infection. Deems et al. [77] have analyzed a number of Acinetobacter species from the feces of wild painted turtles (Chrysemys picta). Although the authors also could not find strains displaying phenotypical carbapenem resistance, they demonstrated the capability of biodiesel degradation and biofilm formation in one A. oleivorans strain that possessed a putative type 6 gene cluster. However, as with other animal and herbal goods, the global trade does play a role in the dissemination of resistant bacteria in reptiles. Since imported live reptiles are not consumed as food items and are known to harbor a wide variety of possible zoonotic microorganisms, public health issues should focus on proper hygienic precautions in order to prevent human infections and the spread of MDR bacteria. The sole prohibition of reptile importation would most likely not prevent the spread since respective bacteria will be introduced by other routes, including humans themselves. Another study focused on investigating meat microbiota from recently imported reptiles and amphibians that are sold in specialty markets in Canada [37]. The authors found evidence for a further, highly virulent, NDM-1-producing Acinetobacter sp. that was isolated from a dried turtle carapace, suggesting that future studies should focus on the full diversity of genotypes as well as a comparison with captive-bred, pet reptiles.
Interestingly, reptile β-defensins, toxin components, and peptides with antimicrobial and antibiofilm activity against A. baumannii and other MDR bacteria have been described as a component of the innate immune system in different species, which might represent promising treatment options, even in human infections, especially when outperforming human homologues [78,79,80,81,82,83]. Reptiles might also cope with facultative pathogenic bacterial loads by a higher activity of antimicrobial molecules that could, for instance, be found in snakes and water monitors inhabiting polluted environments [84].
In conclusion, the results from the present study have shown that imported, healthy pet reptiles represent another mosaic stone in the distribution pattern of Acinetobacter spp. Although the sole presence of these widely distributed bacteria in animal samples is not surprising, their discovery in every other shipment and the expression of a MDR phenotype in over 78% of the isolates should however, address future awareness on the fate of these lineages. With regard to the initial hypothesis, we could not confirm a higher load with MDR bacteria in reptiles from ‘antimicrobially polluted’ environments alone, but the strains with the highest resistance properties also seemed to be equally distributed in the group of supposed captive-bred species. Fortunately, the vast majority of Acinetobacter spp. isolated as “blind passengers” from pet reptiles proved susceptible to critically important antimicrobials, and there is currently no suggestion that reptile isolates represent a serious public health issue.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms10050893/s1: Figure S1: Taxonomic placement of 57 non-A. baumannii members of the genus Acinetobacter isolated from reptiles, and of 79 automatically determined closest type strains available in the TYGS database. The tree was inferred with FastME 2.1.6.1 [51] from GBDP distances calculated from genome sequences. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values >60% from 100 replications, with an average branch support of 70.2%. The tree was rooted at the midpoint [52]. Species names that are flanked by apostrophes represent Acinetobacter species that have not been validly published according to LPSN (https://lpsn.dsmz.de/ (accessed on 8 February 2022)). Table S1: Animal species sampled in this study—country origin and categorization as captive-bred (CB), farm-bred (FB), and wild-caught (WC). Table S2: Identification of 80 Acinetobacter species isolated from reptiles according to different taxonomic typing methods. Table S3: Joint dataset of automatically determined closest type strains and the 57 non-A. baumannii members of the genus Acinetobacter from this study. Table S4: Pairwise comparisons of the genomes of 57 non-A. baumannii members of the genus Acinetobacter vs. type strain genomes. Table S5: Antimicrobial susceptibility and resistance genes detected in 80 Acinetobacter species from reptiles. Table S6: Multilocus sequence types and OXA alleles determined for 80 Acinetobacter species isolates from reptiles. Table S7: NCBI reference numbers of A. baumannii genomes included in Figure 2 of the main text.

Author Contributions

Conceptualization: C.E., T.E., E.P.-B. and F.U.; methodology: C.E., T.E., E.P.-B. and F.U.; software: C.E., T.E. and T.S.; validation: C.E., T.E., F.U. and U.L.; formal analysis: C.E., T.E. and F.U.; investigation: F.U., C.E., U.L. and T.E.; resources: C.E. and T.E.; data curation: C.E., T.S. and F.U.; writing—original draft preparation: C.E. and T.E.; writing: C.E. and T.E.; review and editing: C.E., T.E., F.U. and E.P.-B.; visualization: C.E.; supervision: C.E., T.E. and E.P.-B.; project administration: C.E. and T.E.; funding acquisition: C.E., T.E. and F.U. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ingo and Waltraud Pauler Fonds of the German Herpetological Society (DGHT). F.U. was funded by a grant from the Department for Equal Opportunities of the Justus Liebig University–Giessen. The APC was funded by the Open Access Publication Funds of the Justus Liebig University–Giessen, granted by the German Research Foundation.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data supporting reported results can be found in the supplementary material and in the data repositories cited there.

Acknowledgments

We acknowledge the help of Heiko Werning in assessing the animal origins. Marie-Luise Ludwig and Maik Rothe from the Border Inspection Post, Frankfurt/Main Airport, Germany (Hessian State Laboratory) and Thomas Klappich from Frankfurt/Main Airport, Germany contributed to this project by facilitating, organizing, or helping in the sampling.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Touchon, M.; Cury, J.; Yoon, E.J.; Krizova, L.; Cerqueira, G.C.; Murphy, C.; Feldgarden, M.; Wortman, J.; Clermont, D.; Lambert, T.; et al. The genomic diversification of the whole Acinetobacter genus: Origins, mechanisms, and consequences. Genome Biol. Evol. 2014, 6, 2866–2882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Pulami, D.; Schauss, T.; Eisenberg, T.; Blom, J.; Schwengers, O.; Bender, J.K.; Wilharm, G.; Kämpfer, P.; Glaeser, S.P. Acinetobacter stercoris sp. nov. isolated from output source of a mesophilic German biogas plant with anaerobic operating conditions. Antonie Van Leeuwenhoek 2021, 114, 235–251. [Google Scholar] [CrossRef] [PubMed]
  3. Pulami, D.; Schauss, T.; Eisenberg, T.; Wilharm, G.; Blom, J.; Goesmann, A.; Kampfer, P.; Glaeser, S.P. Acinetobacter baumannii in manure and anaerobic digestates of German biogas plants. FEMS Microbiol. Ecol. 2020, 96, fiaa176. [Google Scholar] [CrossRef] [PubMed]
  4. Lee, Y.T.; Fung, C.P.; Wang, F.D.; Chen, C.P.; Chen, T.L.; Cho, W.L. Outbreak of imipenem-resistant Acinetobacter calcoaceticus-Acinetobacter baumannii complex harboring different carbapenemase gene-associated genetic structures in an intensive care unit. J. Microbiol. Immunol. Infect. 2012, 45, 43–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Dijkshoorn, L.; Nemec, A.; Seifert, H. An increasing threat in hospitals: Multidrug-resistant Acinetobacter baumannii. Nat. Rev. Microbiol. 2007, 5, 939–951. [Google Scholar] [CrossRef] [PubMed]
  6. Visca, P.; Seifert, H.; Towner, K.J. Acinetobacter infection—An emerging threat to human health. IUBMB Life 2011, 63, 1048–1054. [Google Scholar] [CrossRef] [PubMed]
  7. Rice, L.B. Federal funding for the study of antimicrobial resistance in nosocomial pathogens: No ESKAPE. J. Infect. Dis. 2008, 197, 1079–1081. [Google Scholar] [CrossRef]
  8. Nemec, A.; Radolfova-Krizova, L.; Maixnerova, M.; Sedo, O. Acinetobacter colistiniresistens sp. nov. (formerly genomic species 13 sensu Bouvet and Jeanjean and genomic species 14 sensu Tjernberg and Ursing), isolated from human infections and characterized by intrinsic resistance to polymyxins. Int. J. Syst. Evol. Microbiol. 2017, 67, 2134–2141. [Google Scholar] [CrossRef]
  9. Carr, E.L.; Kämpfer, P.; Patel, B.K.C.; Gurtler, V.; Seviour, R.J. Seven novel species of Acinetobacter isolated from activated sludge. Int. J. Syst. Evol. Microbiol. 2003, 53, 953–963. [Google Scholar] [CrossRef] [Green Version]
  10. Anandham, R.; Weon, H.Y.; Kim, S.J.; Kim, Y.S.; Kim, B.Y.; Kwon, S.W. Acinetobacter brisouii sp. nov., isolated from a wetland in Korea. J. Microbiol. 2010, 48, 36–39. [Google Scholar] [CrossRef]
  11. Kim, D.; Baik, K.S.; Kim, M.S.; Park, S.C.; Kim, S.S.; Rhee, M.S.; Kwak, Y.S.; Seong, C.N. Acinetobacter soli sp. nov., isolated from forest soil. J. Microbiol. 2008, 46, 396–401. [Google Scholar] [CrossRef] [PubMed]
  12. Vaneechoutte, M.; Nemec, A.; Musilek, M.; van der Reijden, T.J.; van den Barselaar, M.; Tjernberg, I.; Calame, W.; Fani, R.; De Baere, T.; Dijkshoorn, L. Description of Acinetobacter venetianus ex Di Cello et al. 1997 sp. nov. Int. J. Syst. Evol. Microbiol. 2009, 59, 1376–1381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Malhotra, J.; Anand, S.; Jindal, S.; Rajagopal, R.; Lal, R. Acinetobacter indicus sp. nov., isolated from a hexachlorocyclohexane dump site. Int. J. Syst. Evol. Microbiol. 2012, 62, 2883–2890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Vaz-Moreira, I.; Novo, A.; Hantsis-Zacharov, E.; Lopes, A.R.; Gomila, M.; Nunes, O.C.; Manaia, C.M.; Halpern, M. Acinetobacter rudis sp. nov., isolated from raw milk and raw wastewater. Int. J. Syst. Evol. Microbiol. 2011, 61, 2837–2843. [Google Scholar] [CrossRef]
  15. Radolfova-Krizova, L.; Maixnerova, M.; Nemec, A. Acinetobacter pragensis sp. nov., found in soil and water ecosystems. Int. J. Syst. Evol. Microbiol. 2016, 66, 3897–3903. [Google Scholar] [CrossRef]
  16. Ewers, C.; Klotz, P.; Leidner, U.; Stamm, I.; Prenger-Berninghoff, E.; Göttig, S.; Semmler, T.; Scheufen, S. OXA-23 and ISAba1-OXA-66 class D β-lactamases in Acinetobacter baumannii isolates from companion animals. Int. J. Antimicrob. Agents 2017, 49, 37–44. [Google Scholar] [CrossRef]
  17. Vale, A.P.; Leggett, B.; Smyth, D.; Leonard, F. Challenges in the veterinary microbiology diagnostic laboratory: A novel Acinetobacter species as presumptive cause for feline unilateral conjunctivitis. Access Microbiol. 2020, 2, acmi000118. [Google Scholar] [CrossRef]
  18. Gentilini, F.; Turba, M.E.; Pasquali, F.; Mion, D.; Romagnoli, N.; Zambon, E.; Terni, D.; Peirano, G.; Pitout, J.D.D.; Parisi, A.; et al. Hospitalized pets as a source of carbapenem-resistance. Front. Microbiol. 2018, 9, 2872. [Google Scholar] [CrossRef]
  19. Schwarz, S.; Mensing, N.; Hörmann, F.; Schneider, M.; Baumgärtner, W. Polyarthritis caused by Acinetobacter kookii in a Rothschild’s giraffe calf (Giraffa camelopardalis rothschildi). J. Comp. Pathol. 2020, 178, 56–60. [Google Scholar] [CrossRef]
  20. Pereira, D.G.; Batista, E.; de Cristo, T.G.; Santiani, F.; Sfaciotte, R.A.P.; Ferraz, S.M.; de Moraes, A.N.; Casagrande, R.A. Aspiration bronchopneumonia by Acinetobacter baumannii in a wildlife European hare (Lepus europaeus) in Brazil. J. Zoo Wildl. Med. 2020, 51, 253–256. [Google Scholar] [CrossRef]
  21. Wilharm, G.; Skiebe, E.; Higgins, P.G.; Poppel, M.T.; Blaschke, U.; Leser, S.; Heider, C.; Heindorf, M.; Brauner, P.; Jackel, U.; et al. Relatedness of wildlife and livestock avian isolates of the nosocomial pathogen Acinetobacter baumannii to lineages spread in hospitals worldwide. Environ. Microbiol. 2017, 19, 4349–4364. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Klotz, P.; Higgins, P.G.; Schaubmar, A.R.; Failing, K.; Leidner, U.; Seifert, H.; Scheufen, S.; Semmler, T.; Ewers, C. Seasonal occurrence and carbapenem susceptibility of bovine Acinetobacter baumannii in Germany. Front. Microbiol. 2019, 10, 272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Wareth, G.; Neubauer, H.; Sprague, L.D. Acinetobacter baumannii—A neglected pathogen in veterinary and environmental health in Germany. Vet. Res. Commun. 2019, 43, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Al Bayssari, C.; Dabboussi, F.; Hamze, M.; Rolain, J.M. Emergence of carbapenemase-producing Pseudomonas aeruginosa and Acinetobacter baumannii in livestock animals in Lebanon. J. Antimicrob. Chemother. 2015, 70, 950–951. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Rafei, R.; Hamze, M.; Pailhories, H.; Eveillard, M.; Marsollier, L.; Joly-Guillou, M.L.; Dabboussi, F.; Kempf, M. Extrahuman epidemiology of Acinetobacter baumannii in Lebanon. Appl. Environ. Microbiol. 2015, 81, 2359–2367. [Google Scholar] [CrossRef] [Green Version]
  26. Linz, B.; Mukhtar, N.; Shabbir, M.Z.; Rivera, I.; Ivanov, Y.V.; Tahir, Z.; Yaqub, T.; Harvill, E.T. Virulent epidemic pneumonia in sheep caused by the human pathogen Acinetobacter baumannii. Front. Microbiol. 2018, 9, 2616. [Google Scholar] [CrossRef]
  27. Maboni, G.; Seguel, M.; Lorton, A.; Sanchez, S. Antimicrobial resistance patterns of Acinetobacter spp. of animal origin reveal high rate of multidrug resistance. Vet. Microbiol. 2020, 245, 108702. [Google Scholar] [CrossRef]
  28. Klotz, P.; Jacobmeyer, L.; Leidner, U.; Stamm, I.; Semmler, T.; Ewers, C. Acinetobacter pittii from companion animals co-harboring blaOXA-58, the tet(39) region, and other resistance genes on a single plasmid. Antimicrob. Agents Chemother. 2018, 62, e01993-17. [Google Scholar] [CrossRef] [Green Version]
  29. Nocera, F.P.; Addante, L.; Capozzi, L.; Bianco, A.; Fiorito, F.; De Martino, L.; Parisi, A. Detection of a novel clone of Acinetobacter baumannii isolated from a dog with otitis externa. Comp. Immunol. Microbiol. Infect. Dis. 2020, 70, 101471. [Google Scholar] [CrossRef]
  30. Santaniello, A.; Sansone, M.; Fioretti, A.; Menna, L.F. Systematic Review and Meta-Analysis of the Occurrence of ESKAPE Bacteria group in dogs, and the related zoonotic risk in animal-assisted therapy, and in animal-assisted activity in the health context. Int. J. Environ. Res. Public Health 2020, 17, 3278. [Google Scholar] [CrossRef]
  31. Klotz, P.; Gottig, S.; Leidner, U.; Semmler, T.; Scheufen, S.; Ewers, C. Carbapenem-resistance and pathogenicity of bovine Acinetobacter indicus-like isolates. PLoS ONE 2017, 12, e0171986. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, C.; Cui, C.Y.; Wu, X.T.; Fang, L.X.; He, Q.; He, B.; Long, T.F.; Liao, X.P.; Chen, L.; Liu, Y.H.; et al. Spread of tet(X5) and tet(X6) genes in multidrug-resistant Acinetobacter baumannii strains of animal origin. Vet. Microbiol. 2021, 253, 108954. [Google Scholar] [CrossRef] [PubMed]
  33. Elbehiry, A.; Marzouk, E.; Moussa, I.M.; Dawoud, T.M.; Mubarak, A.S.; Al-Sarar, D.; Alsubki, R.A.; Alhaji, J.H.; Hamada, M.; Abalkhail, A.; et al. Acinetobacter baumannii as a community foodborne pathogen: Peptide mass fingerprinting analysis, genotypic of biofilm formation and phenotypic pattern of antimicrobial resistance. Saudi J. Biol. Sci. 2021, 28, 1158–1166. [Google Scholar] [CrossRef] [PubMed]
  34. Ma, J.; Wang, J.; Feng, J.; Liu, Y.; Yang, B.; Li, R.; Bai, L.; He, T.; Wang, X.; Yang, Z. Characterization of three porcine Acinetobacter towneri strains co-harboring tet(X3) and blaOXA-58. Front. Cell. Infect. Microbiol. 2020, 10, 586507. [Google Scholar] [CrossRef] [PubMed]
  35. Candan, O.; Candan, E.D. Bacterial diversity of the green turtle (Chelonia mydas) nest environment. Sci. Total Environ. 2020, 720, 137717. [Google Scholar] [CrossRef]
  36. Soslau, G.; Russell, J.A.; Spotila, J.R.; Mathew, A.J.; Bagsiyao, P. Acinetobacter sp. HM746599 isolated from leatherback turtle blood. FEMS Microbiol. Lett. 2011, 322, 166–171. [Google Scholar] [CrossRef] [Green Version]
  37. Morrison, B.J.; Rubin, J.E. Detection of multidrug-resistant Gram-negative bacteria from imported reptile and amphibian meats. J. Appl. Microbiol. 2020, 129, 1053–1061. [Google Scholar] [CrossRef]
  38. Brockmann, M.; Aupperle-Lellbach, H.; Muller, E.; Heusinger, A.; Pees, M.; Marschang, R.E. Aerobic bacteria from skin lesions in reptiles and their antimicrobial susceptibility. Tierärztl. Prax. Ausg. K Kleintiere Heimtiere 2020, 48, 78–88. [Google Scholar] [CrossRef]
  39. Tang, P.K.; Divers, S.J.; Sanchez, S. Antimicrobial susceptibility patterns for aerobic bacteria isolated from reptilian samples submitted to a veterinary diagnostic laboratory: 129 cases (2005–2016). J. Am. Vet. Med. Assoc. 2020, 257, 305–312. [Google Scholar] [CrossRef]
  40. Eibach, D.; Nagel, M.; Lorenzen, S.; Hogan, B.; Belmar Campos, C.; Aepfelbacher, M.; Sarpong, N.; May, J. Extended-spectrum β-lactamase-producing Enterobacteriaceae among geckos (Hemidactylus brookii) in a Ghanaian hospital. Clin. Microbiol. Infect. 2019, 25, 1048–1050. [Google Scholar] [CrossRef]
  41. Unger, F.; Eisenberg, T.; Prenger-Berninghoff, E.; Leidner, U.; Ludwig, M.L.; Rothe, M.; Semmler, T.; Ewers, C. Imported reptiles as a risk factor for the global distribution of Escherichia coli harbouring the colistin resistance gene mcr-1. Int. J. Antimicrob. Agents 2017, 49, 122–123. [Google Scholar] [CrossRef] [PubMed]
  42. Fraport. The 2020 Fiscal Year at a Glance. Fraport Annual Report 2020. Available online: https://www.annualreports.com/HostedData/AnnualReports/PDF/OTC_FPRUY_2020.pdf (accessed on 2 February 2022).
  43. CITES Glossary. Available online: https://cites.org/eng/resources/terms/glossary.php#r (accessed on 2 March 2022).
  44. Hamidian, M.; Nigro, S.J. Emergence, molecular mechanisms and global spread of carbapenem-resistant Acinetobacter baumannii. Microb. Genom. 2019, 5, e000306. [Google Scholar] [CrossRef] [PubMed]
  45. Meier-Kolthoff, J.P.; Goker, M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat. Commun. 2019, 10, 2182. [Google Scholar] [CrossRef] [PubMed]
  46. Meier-Kolthoff, J.P.; Carbasse, J.S.; Peinado-Olarte, R.L.; Goker, M. TYGS and LPSN: A database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucl. Acids Res. 2021, 50, D801–D807. [Google Scholar] [CrossRef]
  47. Ondov, B.D.; Treangen, T.J.; Melsted, P.; Mallonee, A.B.; Bergman, N.H.; Koren, S.; Phillippy, A.M. Mash: Fast genome and metagenome distance estimation using MinHash. Genome Biol. 2016, 17, 132. [Google Scholar] [CrossRef] [Green Version]
  48. Lagesen, K.; Hallin, P.; Rodland, E.A.; Staerfeldt, H.H.; Rognes, T.; Ussery, D.W. RNAmmer: Consistent and rapid annotation of ribosomal RNA genes. Nucl. Acids Res. 2007, 35, 3100–3108. [Google Scholar] [CrossRef]
  49. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinf. 2009, 10, 421. [Google Scholar] [CrossRef] [Green Version]
  50. Meier-Kolthoff, J.P.; Auch, A.F.; Klenk, H.P.; Goker, M. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinf. 2013, 14, 60. [Google Scholar] [CrossRef] [Green Version]
  51. Lefort, V.; Desper, R.; Gascuel, O. FastME 2.0: A comprehensive, accurate, and fast distance-based phylogeny inference program. Mol. Biol. Evol. 2015, 32, 2798–2800. [Google Scholar] [CrossRef] [Green Version]
  52. Farris, J.S. Estimating phylogenetic trees from distance matrices. Am. Nat. 1972, 106, 951. [Google Scholar] [CrossRef]
  53. Kreft, L.; Botzki, A.; Coppens, F.; Vandepoele, K.; Van Bel, M. PhyD3: A phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics 2017, 33, 2946–2947. [Google Scholar] [CrossRef] [PubMed]
  54. Richter, M.; Rossello-Mora, R.; Oliver Glockner, F.; Peplies, J. JSpeciesWS: A web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 2016, 32, 929–931. [Google Scholar] [CrossRef] [PubMed]
  55. Jolley, K.A.; Bray, J.E.; Maiden, M.C.J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 2018, 3, 124. [Google Scholar] [CrossRef] [PubMed]
  56. ResFinder 4.2, CGE (Center for Genomic Epidemiology) Server. Available online: https://cge.cbs.dtu.dk/services/ResFinder/ (accessed on 22 March 2022).
  57. Alcock, B.P.; Raphenya, A.R.; Lau, T.T.Y.; Tsang, K.K.; Bouchard, M.; Edalatmand, A.; Huynh, W.; Nguyen, A.V.; Cheng, A.A.; Liu, S.; et al. CARD 2020: Antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucl. Acids Res. 2020, 48, D517–D525. [Google Scholar] [CrossRef]
  58. Diancourt, L.; Passet, V.; Nemec, A.; Dijkshoorn, L.; Brisse, S. The population structure of Acinetobacter baumannii: Expanding multiresistant clones from an ancestral susceptible genetic pool. PLoS ONE 2010, 5, e10034. [Google Scholar] [CrossRef] [Green Version]
  59. Turton, J.F.; Gabriel, S.N.; Valderrey, C.; Kaufmann, M.E.; Pitt, T.L. Use of sequence-based typing and multiplex PCR to identify clonal lineages of outbreak strains of Acinetobacter baumannii. Clin. Microbiol. Infect. 2007, 13, 807–815. [Google Scholar] [CrossRef] [Green Version]
  60. Feng, Y.; Zou, S.; Chen, H.; Yu, Y.; Ruan, Z. BacWGSTdb 2.0: A one-stop repository for bacterial whole-genome sequence typing and source tracking. Nucl. Acids Res. 2021, 49, D644–D650. [Google Scholar] [CrossRef]
  61. Zander, E.; Nemec, A.; Seifert, H.; Higgins, P.G. Association between beta-lactamase-encoding blaOXA-51 variants and DiversiLab rep-PCR-based typing of Acinetobacter baumannii isolates. J. Clin. Microbiol. 2012, 50, 1900–1904. [Google Scholar] [CrossRef] [Green Version]
  62. Katoh, K.; Misawa, K.; Kuma, K.; Miyata, T. MAFFT: A novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucl. Acids Res. 2002, 30, 3059–3066. [Google Scholar] [CrossRef] [Green Version]
  63. Klotz, P.; Jacobmeyer, L.; Stamm, I.; Leidner, U.; Pfeifer, Y.; Semmler, T.; Prenger-Berninghoff, E.; Ewers, C. Carbapenem-resistant Acinetobacter baumannii ST294 harbouring the OXA-72 carbapenemase from a captive grey parrot. J. Antimicrob. Chemother. 2018, 73, 1098–1100. [Google Scholar] [CrossRef]
  64. Principe, L.; Piazza, A.; Giani, T.; Bracco, S.; Caltagirone, M.S.; Arena, F.; Nucleo, E.; Tammaro, F.; Rossolini, G.M.; Pagani, L.; et al. Epidemic diffusion of OXA-23-producing Acinetobacter baumannii isolates in Italy: Results of the first cross-sectional countrywide survey. J. Clin. Microbiol. 2014, 52, 3004–3010. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Da Silva, G.J.; Domingues, S. Interplay between colistin resistance, virulence and fitness in Acinetobacter baumannii. Antibiotics 2017, 6, 28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Di Lallo, G.; D′Andrea, M.M.; Sennati, S.; Thaller, M.C.; Migliore, L.; Gentile, G. Evidence of another anthropic impact on Iguana delicatissima from the Lesser Antilles: The presence of antibiotic resistant enterobacteria. Antibiotics 2021, 10, 885. [Google Scholar] [CrossRef] [PubMed]
  67. Anonym. Annual Report 2019 of the Hessian State Laboratory (LHL). Available online: https://lhl.hessen.de/presse/jahresberichte-des-lhl-2016-2020 (accessed on 22 March 2022).
  68. Sahl, J.W.; Del Franco, M.; Pournaras, S.; Colman, R.E.; Karah, N.; Dijkshoorn, L.; Zarrilli, R. Phylogenetic and genomic diversity in isolates from the globally distributed Acinetobacter baumannii ST25 lineage. Sci. Rep. 2015, 5, 15188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Higgins, P.G.; Hagen, R.M.; Kreikemeyer, B.; Warnke, P.; Podbielski, A.; Frickmann, H.; Loderstadt, U. Molecular epidemiology of carbapenem-resistant Acinetobacter baumannii isolates from Northern Africa and the Middle East. Antibiotics 2021, 10, 291. [Google Scholar] [CrossRef]
  70. Lupo, A.; Chatre, P.; Ponsin, C.; Saras, E.; Boulouis, H.J.; Keck, N.; Haenni, M.; Madec, J.Y. Clonal spread of Acinetobacter baumannii sequence type 25 carrying blaOXA-23 in companion animals in France. Antimicrob. Agents Chemother. 2017, 61, e01881-16. [Google Scholar] [CrossRef] [Green Version]
  71. Jacobmeyer, L.; Stamm, I.; Semmler, T.; Ewers, C. First report of NDM-1 in an Acinetobacter baumannii strain from a pet animal in Europe. J. Glob. Antimicrob. Resist. 2021, 26, 128–129. [Google Scholar] [CrossRef]
  72. Zając, M.; Skarżyńska, M.; Lalak, A.; Kwit, R.; Śmiałowska-Węglińska, A.; Pasim, P.; Szulowski, K.; Wasyl, D. Salmonella in captive reptiles and their environment-can we tame the dragon? Microorganisms 2021, 9, 1012. [Google Scholar] [CrossRef]
  73. Nieto-Claudin, A.; Deem, S.L.; Rodriguez, C.; Cano, S.; Moity, N.; Cabrera, F.; Esperon, F. Antimicrobial resistance in Galapagos tortoises as an indicator of the growing human footprint. Environ. Pollut. 2021, 284, 117453. [Google Scholar] [CrossRef]
  74. Pace, A.; Dipineto, L.; Fioretti, A.; Hochscheid, S. Loggerhead sea turtles as sentinels in the western Mediterranean: Antibiotic resistance and environment-related modifications of Gram-negative bacteria. Mar. Pollut Bull. 2019, 149, 110575. [Google Scholar] [CrossRef]
  75. De Carvalho, M.P.N.; Moura, Q.; Fernandes, M.R.; Sellera, F.P.; Pagotto, A.H.; Stuginski, D.R.; Castro, R.A.; Sant’Anna, S.S.; Grego, K.F.; Lincopan, N. Genomic features of a multidrug-resistant Enterobacter cloacae ST279 producing CTX-M-15 and AAC(6′)-Ib-cr isolated from fatal infectious stomatitis in a crossed pit viper (Bothrops alternatus). J. Glob. Antimicrob. Resist. 2018, 15, 290–291. [Google Scholar] [CrossRef] [PubMed]
  76. Trotta, A.; Cirilli, M.; Marinaro, M.; Bosak, S.; Diakoudi, G.; Ciccarelli, S.; Paci, S.; Buonavoglia, D.; Corrente, M. Detection of multi-drug resistance and AmpC β-lactamase/extended-spectrum β-lactamase genes in bacterial isolates of loggerhead sea turtles (Caretta caretta) from the Mediterranean Sea. Mar. Pollut Bull. 2021, 164, 112015. [Google Scholar] [CrossRef] [PubMed]
  77. Deems, A.; Du Prey, M.; Dowd, S.E.; McLaughlin, R.W. Characterization of the biodiesel degrading Acinetobacter oleivorans strain PT8 isolated from the fecal material of a painted turtle (Chrysemys picta). Curr. Microbiol. 2021, 78, 522–527. [Google Scholar] [CrossRef] [PubMed]
  78. Barksdale, S.M.; Hrifko, E.J.; van Hoek, M.L. Cathelicidin antimicrobial peptide from Alligator mississippiensis has antibacterial activity against multi-drug resistant Acinetobacter baumanii and Klebsiella pneumoniae. Dev. Comp. Immunol. 2017, 70, 135–144. [Google Scholar] [CrossRef] [PubMed]
  79. Hitt, S.J.; Bishop, B.M.; van Hoek, M.L. Komodo-dragon cathelicidin-inspired peptides are antibacterial against carbapenem-resistant Klebsiella pneumoniae. J. Med. Microbiol. 2020, 69, 1262–1272. [Google Scholar] [CrossRef] [PubMed]
  80. Nunes, E.; Frihling, B.; Barros, E.; de Oliveira, C.; Verbisck, N.; Flores, T.; de Freitas Júnior, A.; Franco, O.; de Macedo, M.; Migliolo, L.; et al. Antibiofilm activity of acidic phospholipase isoform isolated from Bothrops erythromelas snake venom. Toxins 2020, 12, 606. [Google Scholar] [CrossRef] [PubMed]
  81. Santana, F.L.; Arenas, I.; Haney, E.F.; Estrada, K.; Hancock, R.E.W.; Corzo, G. Identification of a crocodylian β-defensin variant from Alligator mississippiensis with antimicrobial and antibiofilm activity. Peptides 2021, 141, 170549. [Google Scholar] [CrossRef]
  82. Tajbakhsh, M.; Akhavan, M.M.; Fallah, F.; Karimi, A. A recombinant snake cathelicidin derivative peptide: Antibiofilm properties and expression in Escherichia coli. Biomolecules 2018, 8, 118. [Google Scholar] [CrossRef] [Green Version]
  83. Zhao, F.; Lan, X.Q.; Du, Y.; Chen, P.Y.; Zhao, J.; Lee, W.H.; Zhang, Y. King cobra peptide OH-CATH30 as a potential candidate drug through clinic drug-resistant isolates. Zool. Res. 2018, 39, 87–96. [Google Scholar] [CrossRef] [Green Version]
  84. Winnie, F.Y.M.; Siddiqui, R.; Sagathevan, K.; Khan, N.A. Identification of antibacterial molecule(s) from animals living in polluted environments. Curr. Pharm. Biotechnol. 2020, 21, 425–437. [Google Scholar] [CrossRef]
Figure 1. Phylogenetic tree based on a comparison of the amino acid sequences of 91 OXA variants from the NCBI database and from this study. Novel OXA-alleles identified in this study are written in black bold letters. OXA types typical for a certain Acinetobacter species are written in green. Grey frames indicate that OXA proteins clustered with the different Acinetobacter species. Protein sequences were aligned with MAFFT v7.017 [62] implemented in Geneious. The tree was built using the neighbor-joining method. The bar represents the percentage of differences in amino acids.
Figure 1. Phylogenetic tree based on a comparison of the amino acid sequences of 91 OXA variants from the NCBI database and from this study. Novel OXA-alleles identified in this study are written in black bold letters. OXA types typical for a certain Acinetobacter species are written in green. Grey frames indicate that OXA proteins clustered with the different Acinetobacter species. Protein sequences were aligned with MAFFT v7.017 [62] implemented in Geneious. The tree was built using the neighbor-joining method. The bar represents the percentage of differences in amino acids.
Microorganisms 10 00893 g001
Figure 2. Phylogenetic tree based on the comparison of 2390 core genome genes of 23 A. baumannii from reptiles and 36 representative A. baumannii genomes of international clones IC1–IC9 (NCBI reference sequences are provided in Supplementary Table S7). Three A. baumannii isolates found to be closely related to non-IC1–IC9 reptile isolates (as determined by the online tool BacWGSTdb [60]) are additionally included. Groups of clustered isolates are shaded in different colors. Multilocus sequence types (STPast), cgMLST cluster types, host, year, and country of isolates are indicated next to isolate numbers. The comparison was performed with Ridom SeqSphere+, and the tree was constructed with UPGMA, implemented in the software. The scale indicates the percentage of different cgMLST alleles. n.d. = not determined.
Figure 2. Phylogenetic tree based on the comparison of 2390 core genome genes of 23 A. baumannii from reptiles and 36 representative A. baumannii genomes of international clones IC1–IC9 (NCBI reference sequences are provided in Supplementary Table S7). Three A. baumannii isolates found to be closely related to non-IC1–IC9 reptile isolates (as determined by the online tool BacWGSTdb [60]) are additionally included. Groups of clustered isolates are shaded in different colors. Multilocus sequence types (STPast), cgMLST cluster types, host, year, and country of isolates are indicated next to isolate numbers. The comparison was performed with Ridom SeqSphere+, and the tree was constructed with UPGMA, implemented in the software. The scale indicates the percentage of different cgMLST alleles. n.d. = not determined.
Microorganisms 10 00893 g002
Table 1. Animal origin, species designation, multilocus sequence types, and OXA types of 80 Acinetobacter spp. isolated in this study.
Table 1. Animal origin, species designation, multilocus sequence types, and OXA types of 80 Acinetobacter spp. isolated in this study.
Strain IDSpecies *STPast **OXA Type **SampleAnimal ****
ShipmentBatchType ***SpeciesCountryOrigin
IHIT27741Ar20468131721SJackson’s chameleonUSACB
IHIT27742Ar2053234669FHorsfield’s tortoiseUZBFB
IHIT27743Ar207380973125FFat-tail geckoUSACB
IHIT27744Ar20852385151FHorsfield’s tortoiseUKRFB
IHIT33475Aind2061neg.60100FLeopard tortoiseTZAFB
IHIT35877Ab7276525SSand monitorUSACB
IHIT35878Ab1211651823SGreen basiliskUSAFB
IHIT35879Ab8663852127FCommon leopard geckoCANCB
IHIT35880Ab12903422330FEastern collared lizardUSAWC
IHIT35881Ab2943432740FCentral bearded dragonUSACB
IHIT35882Ab25643350FBall pythonCANCB
IHIT35884Aseif1291neg.3754SRough green snakeUSAWC
IHIT35885Ab3117993855FArmored pricklenapeVNMWC
IHIT35886Ab1111913962FChinese water dragonVNMWC
IHIT35887Ab25644264FRainbow boaUSACB
IHIT35888Ab12921324467FMadagascar day geckoUKRCB
IHIT35889Ab12931045076FIndigo snakeUSApr. CB
IHIT35890Ab12943835077FFat-tail geckoUSACB
IHIT35891Ab2943435180SRough green snakeUSAWC
IHIT35892Ab1295695281FCommon green iguanaSLVFB
IHIT35893Ab1212695895FSaw-scaled curly-tailUSAWC/FB
IHIT35894Ab1296#70118FBoa constrictorUSACB
IHIT35895Ab4610472122FCommon green iguanaSLVFB
IHIT35896Ab12979175131FGreen spiny lizardUSApr. CB
IHIT35897Ab129880075135SSavannah monitorUSACB
IHIT35898Ab129910682145FSand monitorCANCB
IHIT35899Ab130031483146FCommon leopard geckoCANCB
IHIT35900Ab130174984148FCommon leopard geckoUSACB
IHIT39733Ab8663852128FCrested geckoCANCB
IHIT44648Ap203897811FGreen pricklenapeVNMWC
IHIT44649Alac-like20479791825FGreen spiny lizardUSApr. CB
IHIT44650Alac20489802740FCentral bearded dragonUSACB
IHIT44651Atown2049neg.3552FRed-footed tortoiseCOLWC/FB
IHIT44652Ager20509813960FEastern garden lizardVNMWC
IHIT44653Anoso1269neg.3960FEastern garden lizardVNMWC
IHIT44654Ap20395064466FCentral bearded dragonUKRCB
IHIT44655Aber20513014466FCentral bearded dragonUKRCB
IHIT44656Aviv20529824466FCentral bearded dragonUKRCB
IHIT44657Aber20549834872FYellow mud turtleUSAFB
IHIT44658Acalc20553295077FFat-tail geckoUSACB
IHIT44659Acour20569845180SRough green snakeUSAWC
IHIT44660Ap-like20579855180SRough green snakeUSAWC
IHIT44661Ap-like20409865281FCommon green iguanaSLVFB
IHIT44662Aolei20589875382FRed-footed tortoiseBRAWC/FB
IHIT44663Ap20419885893FHispaniolan masked curly-tailUSAWC/FB
IHIT44664Alac-like20599895895FSaw-scaled curly-tailUSAWC/FB
IHIT44665Atan2060neg.5897FStriped mud turtleUSAFB
IHIT44666Acalc206299064110FEast African black mud turtleMOZWC
IHIT44667Aschin206399165111FLeopard tortoiseECUFB
IHIT44668Agem206499266113FYellow-headed geckoNICWC
IHIT44669Aviv206599366113FYellow-headed geckoNICWC
IHIT44670Avar2066neg.67114FHorsfield’s tortoiseUZBFB
IHIT44671Aviv206799468115FJackson’s chameleonUGACB
IHIT44672Acour206899569116FCuvier’s Madagascar swiftMDGWC
IHIT44673Acour206999669116FCuvier’s Madagascar swiftMDGWC
IHIT44674Aviv207099769117FSoutheastern girdled lizardMDGWC
IHIT44675Acour207199871119FRough green snakeUSAWC
IHIT44676Ager-like207299973124FRed corn snakeUSACB
IHIT44677Ap2042100073125FFat-tail geckoUSACB
IHIT44678Aber207425773126FNew Caledonia giant geckoUSACB
IHIT44679Ap204350273126FNew Caledonia giant geckoUSACB
IHIT44680Ap204450274128FLeopard tortoiseZAFFB
IHIT44681Aber2075100174128FLeopard tortoiseZAFFB
IHIT44682Aber2075100174128FLeopard tortoiseZAFFB
IHIT44683Ap2045100274128FLeopard tortoiseZAFFB
IHIT44684Aolei2076100375129FCuban giant anoleUSAWC/FB
IHIT44685Aseif2077neg.75130FArgentine black and white teguUSACB
IHIT44686Atan-liken.d.neg75130FArgentine black and white teguUSACB
IHIT44687Anoso2078neg75130FArgentine black and white teguUSACB
IHIT44688Acour2079100475131FGreen spiny lizardUSApr. CB
IHIT44689Ap22082076136FShingleback lizardJPNCB
IHIT44690Aber2080105278138FChinese water dragonVNMWC
IHIT44691Ap22082079142FPainted wood turtleNICWC
IHIT44692Aschin2081100580143FPainted wood turtleUSApr. CB
IHIT44693Aj-like2082100682145FSand monitorCANCB
IHIT44694Aolei2083100782145FSand monitorCANCB
IHIT44695Alac-like2084100884148FCommon leopard geckoUSACB
IHIT44696Asol2086neg87154FHorsfield’s tortoiseUKRFB
IHIT44697Acalc2087100987154FHorsfield’s tortoiseUKRFB
IHIT44698Alac2088101091159FCentral bearded dragonUKRCB
* Ab = A. baumannii, Aber = A. bereziniae, Acalc = A. calcoaceticus, Acour = A. courvalinii, Agem = A. geminorum, Ager = A. gerneri, Aind = A. indicus, Aj = A. johsonii, Alac = A. lactucae, Anoso = A. nosocomialis, Aolei = A. oleivorans, Ap = A. pittii, Ar = A. radioresistens, Aschin = A. schindleri, Aseif = A. seifertii, Asol = A. soli, Atan = A. tandoii, Atown = A. towneri, Avari = A. variabilis, and Aviv = A. vivianii. ** Sample type: F = feces; S = skin. *** Novel multilocus sequence types and novel OXA protein variants are underlined. **** CB = captive-bred, FB = farm-bred, WC = wild-caught, and pr. = presumably.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Unger, F.; Eisenberg, T.; Prenger-Berninghoff, E.; Leidner, U.; Semmler, T.; Ewers, C. Imported Pet Reptiles and Their “Blind Passengers”—In-Depth Characterization of 80 Acinetobacter Species Isolates. Microorganisms 2022, 10, 893. https://doi.org/10.3390/microorganisms10050893

AMA Style

Unger F, Eisenberg T, Prenger-Berninghoff E, Leidner U, Semmler T, Ewers C. Imported Pet Reptiles and Their “Blind Passengers”—In-Depth Characterization of 80 Acinetobacter Species Isolates. Microorganisms. 2022; 10(5):893. https://doi.org/10.3390/microorganisms10050893

Chicago/Turabian Style

Unger, Franziska, Tobias Eisenberg, Ellen Prenger-Berninghoff, Ursula Leidner, Torsten Semmler, and Christa Ewers. 2022. "Imported Pet Reptiles and Their “Blind Passengers”—In-Depth Characterization of 80 Acinetobacter Species Isolates" Microorganisms 10, no. 5: 893. https://doi.org/10.3390/microorganisms10050893

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop