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International Journal of Systematic and Evolutionary Microbiology logoLink to International Journal of Systematic and Evolutionary Microbiology
. 2026 Sep 22;76(9):007285. doi: 10.1099/ijsem.0.007285

Acinetobacter legionensis sp. nov. and Acinetobacter psychrotolerans sp. nov. isolated from different types of retail meat

Alba Puente 1,2, Cristina Galisteo 3, José F Cobo-Díaz 1,2,4,*, Filipa Grosso 5,6, Coral Barcenilla 1,2,4, Mercedes López 1,2,4, Miguel Prieto 1,2,4, Luisa Peixe 5,6, Avelino Alvarez-Ordóñez 1,2,4
PMCID: PMC13600464  PMID: 42776565

Abstract

Twelve isolates representing two novel Acinetobacter species were isolated from various fresh meat and meat preparation samples collected from supermarkets in León, Spain. These isolates were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and GTDB-Tk software as members of the genus Acinetobacter. Phylogenomic analysis based on the core genome showed that these isolates formed two separate branches (1 including 11 isolates: ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080 and ULE_I092; and the other only one, ULE_I010T) separated from all known Acinetobacter species. Average nucleotide identity and digital DNA–DNA hybridization values of all isolates with closely related type strains of species of the genus Acinetobacter supported their status as new species. The names Acinetobacter legionensis sp. nov. (comprising 11 isolates) and Acinetobacter psychrotolerans sp. nov. (comprising one strain) were proposed for the two novel taxa. Additional phylogenomic and phenotypic analyses showed that strain LMG 10606 (=RUH 2236), originally assigned to Acinetobacter guillouiae, belongs to A. legionensis sp. nov. Other two strains from the original description of A. guillouiae (LUH 5606 and LUH 6980) may also represent members of A. legionensis sp. nov., as indicated by a rpoB gene phylogenetic tree analysis. The phenotypic characteristics most useful for the differentiation of the novel species described in the present study from known Acinetobacter species were the assimilation of malonate and the inability to grow on histamine and phenylacetate of A. legionensis sp. nov., and the inability of A. psychrotolerans sp. nov. to grow over 30 °C. The type strain A. legionensis ULE_I046T (=CECT 31169T=CCP 535T) has a genome size of 4.58 Mb and a G+C content of 37.7 mol%. The type strain A. psychrotolerans ULE_I010T (=CECT 31168T=CCP 534T) has a genome size of 3.56 Mb, with a G+C content of 37.2 mol%.

Keywords: Acinetobacter, meat, new species, phylogenomic

Introduction

The genus Acinetobacter, a member of the Moraxellaceae family, was first described in 1954 [1] and it includes Gram-negative, non-motile, catalase-positive, oxidase-negative and aerobic bacteria. Currently, the genus comprises 90 species with validly published names, in addition to several other species without validly published names (https://lpsn.dsmz.de/genus/acinetobacter, last accessed on 23 March 2026) [2]. Acinetobacter species have been reported from a wide variety of habitats, including environmental sources and clinical samples. Furthermore, some species have been isolated from food products, such as milk, fruits, vegetables, fish and meat [3–6]. The current study characterizes and describes two novel species of the genus: Acinetobacter legionensis sp. nov. and Acinetobacter psychrotolerans sp. nov. Twelve isolates constituting these new species (eleven of A. legionensis sp. nov. and one of A. psychrotolerans sp. nov.) were isolated from various types of fresh meat and meat preparations from supermarkets in León, Spain, during a previous study focused on assessing the occurrence of Acinetobacter in meat [7]. However, this is not the first occasion on which A. legionensis sp. nov. isolates have been recovered. In 2010, Nemec et al. [8] proposed the name Acinetobacter guillouiae sp. nov. for the Acinetobacter genospecies (genomic species) 11 described by Bouvet and Grimont in 1986 [9]. This species consisted of 17 strains with different origins, including human and environmental sources [8]. The analysis of the rpoB gene sequences carried out during the characterization of the new A. legionensis sp. nov. showed that 3 out of those 17 strains could actually belong to the novel species A. legionensis reported in the current study. The new taxonomic status of one of these strains, RUH 2236 (=LMG 10606), is here confirmed through phylogenomic and phenotypic characterizations.

Isolation

Each of the 12 isolates investigated in this study was isolated from different fresh meat and meat preparation samples collected from supermarkets in León, Spain (Table 1). The samples were processed as previously described by Puente et al. [7]. The isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080 and ULE_I092 were isolated by direct plating on CHROMagar™ Acinetobacter medium (CHROMagar, Paris, France) of a suspension obtained by adding 25 g of meat to 225 ml of Buffer Peptone Water (Merck KGaA, Darmstadt, Germany) supplemented with 1 mg l−1 vancomycin, 1.5 mg l−1 cefsulodin and 5 mg l−1 cephradine (Sigma-Aldrich, Saint Louis, USA), followed by the incubation of agar plates at 35 °C for 24 h. The isolate ULE_I010T was collected by direct plating on the same selective medium after a 10 day incubation at 5 °C. The twelve isolates were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS, Microflex LT model, Bruker-Daltonics, USA) as members of the genus Acinetobacter (with log score values >1.70). Isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080 and ULE_I092 were initially associated with A. guillouiae, with log score values ranging from 1.88 to 2.40, while the ULE_I010T isolate was associated with Acinetobacter johnsonii, with a log score of 1.76. It is important to highlight that log score values ≥2.3 indicate a highly probable species identification; 2.29–2.0 indicate probable species identification; and 1.99–1.7 indicate a genus-level identification [10].

Table 1. Fresh meat and meat preparation samples from which the isolates of A. legionensis sp. nov. and A. psychrotolerans sp. nov. were collected.

Isolate Sample Product type Date of isolation
A. legionensis ULE_I046T Chicken meat Mini burger meat packaged under MAP March 2022
A. legionensis ULE_I001 Pork meat Unpackaged loin chop February 2022
A. legionensis ULE_I024 Pork meat Loin packaged under vacuum February 2022
A. legionensis ULE_I037 Pork meat Unpackaged ribs March 2022
A. legionensis ULE_I053 Pork meat Ox cheek packaged under vacuum March 2022
A. legionensis ULE_I057 Chicken meat Burger meat packaged under MAP March 2022
A. legionensis ULE_I064 Pork meat Unpackaged ribs April 2022
A. legionensis ULE_I068 Pork meat Unpackaged chopped meat April 2022
A. legionensis ULE_I075 Pork meat Unpackaged loin steak April 2022
A. legionensis ULE_I080 Pork meat Unpackaged belly April 2022
A. legionensis ULE_I092 Beef meat Unpackaged fillet steak May 2022
A. psychrotolerans ULE_I010T Pork meat Loin steak packaged under MAP February 2022

MAP, modified atmosphere packaging.

Although the natural habitat of the new species described here is likely to be environmental, meat is very frequently contaminated by Acinetobacter spp. during processing and also provides favourable conditions for these bacteria to persist and multiply, as indicated by the relatively high prevalence and concentration of Acinetobacter spp. observed previously in fresh meat and meat preparations [7, 11, 12].

Genome features

The genomic DNA of these isolates was extracted using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany) following the manufacturer’s protocol for Gram-negative bacteria with a final elution with 100 µl of Buffer AE (10 mM Tris-Cl, 0.5 mM EDTA). Sequencing libraries were obtained using the Nextera XT DNA Library Preparation kit (Illumina Inc., San Diego, CA, USA) according to the manufacturer’s instructions, and sequenced on the Illumina NovaSeq 6000 Sequencing System (Macrogen Inc., Seoul, Korea) by 150-bp PE approach. Trim Galore (v.0.6.6) (https://github.com/FelixKrueger/TrimGalore) was used for quality filtering of the reads, and contaminant DNA was eliminated using Bowtie2 (v.2.2.9) with --sensitive-local parameter, removing reads from the phiX174 Illumina spike-in (NCBI accession number NC_001422) as well as potential human contamination (using the GRCh38.p13 human genome, NCBI accession number GCF_000001405.39). Genomes were assembled by SPAdes (v.3.15.2) [13], and assembly quality was checked with CheckM2 [14] while Bakta Web (Software: 1.10.3, DB: 5.1.0, https://bakta.computational.bio/) was employed to detect the number of coding DNA, tRNA and rRNA sequences per genome [15]. The assembly quality statistics of the 12 isolates investigated in this study are summarized in Table S1 (available in the online Supplementary Material). Genomes were taxonomically assigned by GTDB-Tk (v.1.7.0) [16]. According to this database, the 12 isolates were identified as members of the genus Acinetobacter but could not be classified at the species level.

The 16S rRNA gene sequence of the 12 isolates was extracted from their genomes by blast against a database built with 16S rRNA gene sequences from representative Acinetobacter species (Table S2) employing the -outfmt ‘6 std qseq’ command. Additionally, comparison of the 16S rRNA gene sequences against the EzBioCloud database (https://www.ezbiocloud.net/) [17] revealed that the isolate ULE_I010T had the highest sequence similarity with Acinetobacter silvestris ANC 4999T (99.52%), and ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080, ULE_I092 and LMG 10606 with A. guillouiae CIP 63.46T (99.38–100%).

Phylogenetic analysis

To determine the taxonomic position of the 11 isolates closely related to A. guillouiae, an additional phylogenetic analysis was performed using the rpoB gene (RNA polymerase β-subunit). The rpoB partial gene sequence was extracted from the ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080 and ULE_I092 genomes and the A. guillouiae genomes from the National Center for Biotechnology Information (NCBI), by blastn alignment against the available rpoB sequences from the original description of A. guillouiae [8] (downloaded from nucleotide data associated to PMID 19661501). The partial rpoB sequences extracted and those from A. guillouiae isolates from Nemec et al. 2010 [8] were employed to build a phylogenetic tree by MAFFT (v.7) (https://mafft.cbrc.jp/alignment/server/index.html) [18] alignment and clustering using a Neighbour-Joining tree approach with 1,000 bootstrap values. Phylogenetic reconstruction based on rpoB revealed that three strains, RUH 2236, LUH 5606 and LUH 6980, previously assigned as A. guillouiae by Nemec et al. 2010 [8] clustered within our 11 isolates and were clearly separated from the A. guillouiae branch (Fig. S1). To further investigate this observation, strain LMG 10606 (=RUH 2236) was acquired from the BCCM/LMG Bacteria Collection and included in our analyses. DNA from this strain was extracted as indicated previously and sequenced by a GridION platform (Oxford Nanopore Technologies, Oxford, UK) using R10.4.1 flow cells and the Native Barcoding kit 24 (v.14). Adapters were removed from raw reads using Porechop (https://github.com/rrwick/Porechop) and assembly was done by Flye [19]. The quality of genome assembly was calculated by CheckM2 and Bakta Web [14] and taxonomic assignment was performed by GTDB-Tk (v.1.7.0) [16], being assigned as Acinetobacter species but not identified at the species level. The 16S rRNA gene of this isolate was obtained as indicated previously. The obtained genome characteristics are in Table S1.

As part of the genome comparison analysis, an additional phylogenomic tree based on an Acinetobacter genus core genome was constructed. To establish the placement of the 12 isolates under study and the strain LMG 10606, the reference genomes of 90 Acinetobacter species with names validly published under the ICNP (https://lpsn.dsmz.de/genus/acinetobacter, last accessed 23 March 2026) [2] were added to the analysis. Genomes of type strains of the 90 Acinetobacter species were downloaded from the NCBI (Table S3). Prokka (v.1.14.6) [20] and Panaroo (v.1.5.2) [21] were used to annotate the genomic sequences and compare the genes constituting the core genome, respectively. Then, FastTree (v.2.2.0) [22] was used for the alignment of the gene sequences and the construction of a maximum-likelihood core-genome phylogenetic tree. Branch support was estimated using SH-like local support values. The core-genome tree based on 86 genes revealed that the isolates ULE_I046T, ULE_I080, ULE_I037, ULE_I024, ULE_I075, ULE_I068, ULE_I092 and ULE_I064 comprised a cluster, including a subcluster comprising ULE_I057, ULE_I053, ULE_I001 and LMG 10606, separated from the type strains of known Acinetobacter species (Fig. 1), suggesting that the 11 isolates of this study and LMG 10606 belong to the same species within the genus Acinetobacter. These findings were consistent with the results obtained from rpoB-based phylogeny. Additionally, a maximum-likelihood core-genome phylogenetic tree, including these 11 isolates and LMG 10606, 48 A. guillouiae genomes obtained from the NCBI and taxonomically confirmed by GTDB-Tk, and the type strain of one closely related species, Acinetobacter bereziniae CIP 70.12T was performed (Fig. S2). The 11 isolates and LMG 10606 clustered separately from A. bereziniae and all A. guillouiae genomes, suggesting that they are not members of the A. guillouiae species.

Fig. 1. Phylogenetic tree based on the core genome of 12 isolates of A. legionensis sp. nov. (highlighted in red colour, 11 genomes from the present study and the strain LMG 10606), 1 strain of A. psychrotolerans sp. nov. (blue colour) and all the type strains of Acinetobacter species with validly published names.

Phylogenetic tree of Acinetobacter species showing A. legionensis isolates and A. psychrotolerans forming distinct clusters among type strains, with bootstrap values at branch nodes and a scale bar of 0.1.

On the other hand, the strain ULE_I010T stands in a separate branch from the rest of the genomes (Fig. 1), suggesting that it could also represent a novel Acinetobacter species.

In order to determine the clonality of A. legionensis sp. nov. isolates, a SNP-distance matrix was calculated by snp-dist (https://github.com/tseemann/snp-dists) using the core_gene_alignment.aln from Panaroo [21] outputs. There are clearly different clones detected by SNPs analysis for all the isolates except ULE_I037, ULE_I075 and ULE_I080 (with two or three SNPs between them) and ULE_I024 and ULE_I068 (no SNPs) (Table S4). The presence/absence of genes that do not constitute the core genome, obtained by Panaroo, showed that 24 and 5 genes were not equally distributed for both few-SNPs or no-SNPs clusters, ULE_I037-ULE_I075-ULE_I080 and ULE_I024-ULE_I068, respectively (Fig. S3). Other differences in gene content in the accessory genome for all A. legionensis sp. nov. isolates are presented in Fig. S4. This analysis confirms that the 12 isolates analysed (11 from ULE and the LMG 10606) do not belong to the same clone or strain.

Overall genome relatedness indices

Overall genome relatedness indices (OGRIs) were evaluated for taxonomic determination of the new taxa following the proposed minimal standards for prokaryotic taxonomy [22]. In order to determine the classification of the isolates within the Acinetobacter genus, the average amino acid identity (AAI) values between the genomes of the 13 isolates (12 ULE and LMG 10606) and one reference genome per all Acinetobacter species with validly published and correct names (a total of 90) were calculated by EzAAI (v.1.2.3) [23]. All isolates showed AAI values equal to or higher than 68% (Fig. S5), above the proposed cut-off of 65–72% to define a bacterial genus [24, 25], confirming that the isolates belong to the genus Acinetobacter.

Average nucleotide identities (ANIs) based on blast+ (ANIb) values were calculated using JSpeciesWS (https://jspecies.ribohost.com/jspeciesws/) [26], while the Genome-to-Genome Distance Calculator (GGDC v.3.0) (https://ggdc.dsmz.de/) [27], using the formula 2, was employed to determine the digital DNA–DNA hybridization (dDDH). ANIb and dDDH values were calculated using reference genomes of closely related Acinetobacter type strains according to the clustering obtained in the core-genome phylogenetic tree (Fig. 1): A. guillouiae CIP 63.46T, A. bereziniae CIP 70.12T, Acinetobacter nematophilus A-IN1T, Acinetobacter wuhouensis WCHA60T, Acinetobacter piscicola LW15T, Acinetobacter sichuanensis WCHAc060041T and Acinetobacter defluvii WCHA30T. The isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080, ULE_I092 and LMG 10606 shared ANIb values higher than or equal to 98.30% (Fig. 2), which are above the suggested threshold of 95–96% proposed to distinguish between bacterial species [28–30]. This suggests that these 12 isolates belong to the same species, as it was already proposed after the observation of the core-genome and rpoB trees. The highest ANIb values of these 12 isolates with the closely related Acinetobacter type strains selected ranged from 93.39–93.95% (A. guillouiae CIP 63.46T), below the 95–96% threshold (Fig. 2). Likewise, dDDH values were higher than or equal to 88.40% between these 12 isolates, higher than the proposed threshold of 70% for prokaryotic species delineation [31, 32]. Conversely, the dDDH values between these isolates and the Acinetobacter type strains selected were below this threshold (22.8–57.9%) (Fig. 2). Therefore, ANI and dDDH values suggest that these 12 isolates belong to a single species distinct from all known Acinetobacter species.

Fig. 2. Percentage of ANI and dDDH for the isolates analysed in this study (including strain LMG 10606) and type strains of closely related Acinetobacter species. ANI values are shown on the top right of the diagonal and dDDH values on the bottom left.

Heatmap of ANI and dDDH values among ULE isolates, LMG 10606 and Acinetobacter type strains. ULE isolates share approximately 96 to 100 percent identity, while values drop to approximately 22 to 26 percent against other species.

A principal coordinate analysis (PCoA) was performed based on the genomic functional annotations. The comparison at the functional level between these 12 isolates and all available genomes for the species A. guillouiae aimed to evaluate whether or not the isolates from this study exhibited a distinct functional profile relative to A. guillouiae. To this end, genomes were annotated using eggNOG-mapper (v.2) [33], and KEGG Orthology (KO) hits were extracted from the KO database (https://www.genome.jp/kegg/ko.html). An abundance matrix of each KO-code in each genome was generated and used to obtain a PCoA plot using the ggplot R package, and a clear separation between the genomes of the species A. guillouiae and the genomes of the 12 isolates evaluated in this study was observed (Fig. 3). This result shows that the two clusters have different functionalities, which supports the separation of the 12 isolates (11 from ULE and LMG 10606 strain) from A. guillouiae. Additionally, exclusive core genes specific for these isolates or for A. guillouiae were determined, taking a gene as a core gene for each of the two groups if it is present in at least 90% of the genomes from such group and in a maximum of 10% of the genomes of the other group. Following gene extraction and annotation, performed by Prokka (v.1.14.6) [20], a total of 62 and 167 genes were found as core genes exclusively for A. guillouiae and A. legionensis sp. nov. (11 ULE isolates and LMG 10606), respectively (Fig. S6, Table S5), with the core genes exclusive to A. legionensis sp. nov. being mainly related to the COG codes: [K] Transcription, [L] Replication, recombination and repair, [C] Energy production and conversion and [I] Lipid transport and metabolism, according to the results obtained by eggNOG-mapper (v.2) [33] (Table S4). Moreover, eight mdc genes (mdcA, mdcB, mdcC, mdcD, mdcE, mdcG, mdcH, mdcR) associated with malonate degradation were found within the core genes specifically present in A. legionensis sp. nov. and not in A. guillouiae (Table S5), which support, together with phenotypic assays exposed below, the possible value of malonate utilization as a diagnostic marker to differentiate A. legionensis sp. nov. and A. guillouiae.

Fig. 3. PCoA based on the abundance of metabolic functions between 48 genomes of A. guillouiae downloaded from NCBI and 12 genomes of the putative new species (A. legionensis sp. nov.; 11 genomes from the present study and the strain LMG 10606).

PCoA scatter plot showing clear separation between A. guillouiae and A. legionensis sp. nov. clusters. Principal Coordinate 1 explains 18.69% and Principal Coordinate 2 explains 14.66% of variance.

Regarding the isolate ULE_I010T, ANIb (78.13–80.19%) and dDDH (22.80–24.60%) values between this genome and Acinetobacter type strains selected were below the 95–96% and 70% thresholds, respectively [28–32] (Fig. 2). Thus, these values suggest that the isolate ULE_I010T belongs to a novel species within the genus Acinetobacter. Since ULE_I010T was the unique isolate from the proposed new species obtained in our sampling campaign, a total of 17 metagenome-assembled genomes (MAGs) classified as Acinetobacter but unidentified at the species level downloaded from curated Food Metagenome Database (cFMD), the most comprehensive food metagenome database to date, that comprises >10,000 food MAGs from >2,500 food samples, including meat and meat preparations [34]; and other 10 Acinetobacter spp. MAGs recovered from meat processing environment metagenomes [35] were analysed in order to determine if they belong to the same branch as ULE_I010T, but no MAG belonging to this branch was found (data not shown). Overall, these findings justify a single-strain description for this novel Acinetobacter species.

Phenotypic characterization

For further characterization of the newly proposed species, we tested the phenotypic features of 5 of the 11 isolates within A. legionensis sp. nov., including ULE_I046T, ULE_I024, ULE_I053, ULE_I057 and ULE_I075, and the single isolate ULE_I010T constituting A. psychrotolerans sp. nov.

Growth capacity at different temperatures (5, 10, 15, 20, 25, 30, 35, 37 and 40 °C) was tested in Brain Heart Infusion broth (BHI, Merck KGaA) incubated for up to 7 days. NaCl tolerance was evaluated in Trypto-Casein Soy Broth (TSB, Condalab, Madrid, Spain) supplemented with 0, 0.5, 1.5, 3.0, 4.5 and 6.0% NaCl (wt/v), and incubated at 25 °C for 48 h. Growth at pH 4, 5, 6, 7, 8, 9 and 10 was tested in Luria–Bertani (LB) broth (VWR, Pennsylvania, USA), adjusted using HCl 2 N or NaOH 2 M to decrease or increase the pH, respectively, and incubated at 25 °C for 48 h. Growth was determined by absorbance measurements at 600 nm every 1 h using the SpectraMax® iD3 (Molecular Devices, California, USA). Growth under anaerobic and microaerophilic conditions was evaluated in BHI agar (Merck KGaA) after 48 h of incubation at 25 °C, using Anaerocult® A (Merck Millipore, Massachusetts, USA) and CampyGen™ 2.5 l packs (Thermo Scientific, Massachusetts, USA), respectively. Motility was evaluated in LB medium supplemented with 0.20, 0.25 and 0.30% (wt/v) agar according to Clemmer et al. [36]. Catalase activity was determined by mixing three to four colonies of a pure culture with a drop of H2O2 (10%, v/v), and oxidase activity was assessed using Oxidase Sticks (ITW Reagents Panreac, Barcelona, Spain). Gram staining was carried out using a Gram staining kit (bioMérieux, France), and cell morphology was visualized by light microscopy (Olympus CX41). Acid production from glucose and gelatin hydrolysis were evaluated using API 20 NE (bioMérieux). Haemolysis of sheep blood and citrate utilization (Simmons’) were tested according to Nemec et al. [37]. Tests for the assimilation of other carbon sources were performed using the basal mineral medium of Cruze et al. [38] supplemented with 0.1% (wt/v) carbon source, as previously described [37]. Other phenotypic analyses were carried out using the API 20 NE (bioMérieux) test and Biolog GEN III microplates (test for oxidation of carbon sources) (Protocol A; Biolog, Hayward, USA), according to the manufacturer’s instructions. The incubation temperature used in all these analyses was 25 °C. The results of phenotypic tests are given in the species descriptions. All results obtained by the Biolog GEN III system are shown in Table S6. Differential phenotypic characteristics of A. legionensis sp. nov. and A. psychrotolerans sp. nov. isolates and closely related species of the genus Acinetobacter based on the ANIb and dDDH analyses are shown in Table 2.

Table 2. Differential phenotypic characteristics of A. legionensis sp. nov. and A. psychrotolerans sp. nov. isolates and closely related species of the genus Acinetobacter.

(1) A. legionensis sp. nov. (five isolates); (2) A. psychrotolerans sp. nov. (one isolate); (3) LMG 10606; (4) A. guillouiae (type strain LMG 988T); (5) A. bereziniae; (6) A. piscicola; (7) A. wuhouensis. Results of A. legionensis sp. nov., A. psychrotolerans sp. nov., LMG 10606 and the type strain of A. guillouiae were obtained in the present study. The results for A. bereziniae, A. piscicola and A. wuhouensis were obtained from https://szu.gov.cz/wp-content/anemec/Phenotype.pdf (version 8 January 2021).

Characteristic 1 2 3 4 5 6 7
Growth at:
 37 °C + – + + + – –
 35 °C + – + + + – +
 30 °C + – + + + + +
 Acidification of d-glucose – – – – 88(+) – –
 Haemolysis of sheep blood – – – – – + –
Assimilation of:
 Adipate + – + + 63(+) – –
 Azelate + – + + 63(+) – –
 2,3-Butanediol + – + + + – +
 Glutarate + – + + + – +
 Histamine – – – + 63(+) – –
 Malonate + – + – – – 63(+)
 Phenylacetate – – – + 25(–) – +
 Capric acid + + + – nd nd nd
 Utilization of:
 4-Aminobutyrate – – + – nd nd nd
 l-Aspartate 80(+) – + + nd nd nd
 l-Histidine + – + + nd nd nd
 d-Malate 20(+) – – + nd nd nd

+, All strains positive; –, all strains negative; nd, not determined. Numbers are percentages of strains with positive reaction, results for type strains are given in parentheses.

The five isolates of A. legionensis sp. nov. and the strain LMG 10606 were seen to have nearly identical phenotypic features (Table 2, Table S6). The combination of their ability to assimilate malonate and capric acid but not histamine and phenylacetate distinguished the six isolates (ULE and LMG 10606) from the type strain of A. guillouiae LMG 988T (=CIP 63.46T). Most A. guillouiae strains are malonate-negative, as malonate utilization was observed in only 18% (3 out of 17) of the strains examined in the original description of A. guillouiae [8]. Notably, one of these three malonate-positive strains was LMG 10606, and the remaining two strains could correspond to LUH 5606 and LUH 6980, which based on the rpoB analysis, may also be reassigned to A. legionensis sp. nov. In addition, according to the Biolog test, all A. legionensis sp. nov. isolates, including LMG 10606, were unable to utilize γ-aminobutyric acid (GABA) (Table S6), whereas most A. guillouiae strains have the ability to degrade GABA [8], providing an additional phenotypic distinction. GABA metabolism has been associated with carbon and nitrogen metabolism, stress adaptation and potentially host-associated survival in Acinetobacter [39]. Therefore, this phenotypic difference may indicate distinct ecological adaptations between both species, although further research is required to determine its significance. The incapacity to produce acid from d-glucose, the absence of growth on histamine and the assimilation of malonate differentiated these isolates from A. bereziniae (Table 2). Strain ULE_I010T differed from A. guillouiae LMG 988T in eight characteristics (incapacity to grow over 30 °C, on adipate, azelate, 2,3-butanediol, glutarate, histamine and phenylacetate, and the ability to grow on capric acid), from A. piscicola in two characteristics (incapacity to grow over 30 °C and to lyse sheep blood), and from A. wuhouensis in five characteristics (incapacity to grow over 30 °C, on 2,3-butanediol, glutarate, malonate and phenylacetate) (Table 2). Additionally, the inability to utilize/oxidize l-aspartate, l-histidine and d-malate distinguished strain ULE_I010T from A. guillouiae LMG 988T. In fact, the inability to grow over 30 °C by strain ULE_I010T distinguishes it from the vast majority of known Acinetobacter species (https://szu.gov.cz/wp-content/anemec/Phenotype.pdf). MALDI-TOF MS was not able to reliably differentiate A. legionensis sp. nov. from A. guillouiae (Fig. S7), however, considering the phenotypic results and those of the phylogenetic analyses based on the rpoB and core genome, as well as the calculation of genome relatedness by ANIb and dDDH, the isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080 and ULE_I092 are considered to represent a novel species within the genus Acinetobacter, for which the name A. legionensis sp. nov. is proposed.

Additionally, the rpoB and core-genome phylogenetic analyses, ANIb and dDDH values and phenotypic characteristics demonstrated that the isolate previously assigned to the species A. guillouiae, LMG 10606, belongs to the novel species A. legionensis. The rpoB analysis suggests that LUH 5606 and LUH 6980 could also be reassigned to A. legionensis sp. nov., but this fact has not been confirmed.

For ULE_I010T, unfortunately, only one isolate could be included in the current study resulting in lack of information about phenotypic variability within the novel species. However, the core-genome phylogenomic analysis, ANIb and dDDH values and phenotypic characteristics distinguished strain ULE_I010T from other Acinetobacter species. Therefore, this strain represents another novel species within the genus Acinetobacter, for which the name A. psychrotolerans sp. nov. is proposed.

Description of Acinetobacter legionensis sp. nov.

Acinetobacter legionensis (le.gio.nen’sis. N.L. masc. adj. legionensis, of or belonging to Legio, the Latin name for the city of León, Spain, where the isolates were collected).

Cells are Gram-stain-negative coccobacilli, non-motile, catalase-positive and oxidase-negative. Colonies are circular, light yellow and opaque and with 0.5–1.0 mm in diameter after 24 h of incubation at 25 °C on BHI agar plates, reaching 1–2 mm after 48 h of incubation under the same conditions. Growth occurs at 0–3% (wt/v) NaCl (one of the isolates up to 1.5%), pH 5–10 and 5–37 °C. Optimal growth was observed at 0% (wt/v) NaCl, pH 6–7 and 25 °C. All isolates can grow at microaerophilic and aerobic conditions and in BHI, TSB, LB and Mueller-Hinton media. Acid is not produced from d-glucose, gelatin is not hydrolysed and haemolysis is not observed on sheep blood agar. Acetate, adipate, azelate, 2,3-butanediol, ethanol, citrate (Simmons’), glutarate, malate, malonate and capric acid are utilized as sole sources of carbon with visible growth after 2 days of incubation. No growth occurs on l-arabinose, gentisate, d-glucose, histamine, l-leucine, l-ornithine, d-gluconate, phenylacetate, l-phenylalanine, d-ribose, d-mannose, d-mannitol, N-acetylglucosamine and maltose. Negative for nitrate reduction, indole production, arginine dihydrolase, urease, β-galactosidase and β-glucosidase hydrolysis. Isolates are able to utilize/oxidize (using the Biolog GEN III system) l-alanine, l-aspartate (80% of the isolates), l-glutamate, citrate, l-histidine, l-pyroglutamate, α-ketoglutarate, d-malate (20%), l-malate, bromo-succinate, propionate, acetate, methyl pyruvate (60%), l-lactate, α-hydroxybutyrate (40%), α-ketobutyrate and β-hydroxybutyrate.

Isolates belonging to this species were isolated from chicken, pork and beef fresh meat and meat preparation samples. The results of Puente et al. [7] suggest that this novel species of Acinetobacter is prevalent in meat products, as demonstrated by its presence in a minimum of 11 out 100 meat samples analysed. The type strain is ULE_I046T (=CECT 31169T=CCP 535T), isolated from a mini chicken burger packaged under MAP obtained from a supermarket in León, Spain, in March 2022. Its genome has a size of 4.58 Mb and its G+C content is 37.7 mol%. The GenBank accession numbers for the 16S rRNA gene and the whole-genome sequences are PV889005 and GCF_048551895.1, respectively.

Description of Acinetobacter psychrotolerans sp. nov.

Acinetobacter psychrotolerans (psy.chro.to’le.rans. Gr. masc. adj. psychros, cold; L. pres. part. tolerans, tolerating; N.L. masc. part. adj. psychrotolerans, cold-tolerating).

Cells are Gram-stain-negative coccobacilli, non-motile, catalase-positive and oxidase-negative. Colonies are circular, light yellow and opaque and with <0.5 mm in diameter after 24 h at 25 °C on BHI agar plates, reaching 1–2 mm after 48 h incubation under the same conditions. Growth occurs at 0–0.5% NaCl (wt/v), pH 6–9 and 5–25 °C. Optimal growth was observed at 0% (wt/v) NaCl, pH 7 and 25 °C. This isolate can grow under microaerophilic and aerobic conditions and in BHI, TSB, LB and Mueller-Hinton media. Acid is not produced from d-glucose, gelatin is not hydrolysed and haemolysis is not observed on sheep blood agar. Acetate, ethanol, citrate (Simmons’) (weak positive result after 5 days of incubation), malate and capric acid are utilized as sole sources of carbon with visible growth after 2 days of incubation. No growth occurs on adipate, l-arabinose, azelate, 2,3-butanediol, gentisate, d-glucose, glutarate, histamine, l-leucine, malonate, l-ornithine, d-gluconate, phenylacetate, l-phenylalanine, d-ribose, d-mannose, d-mannitol, N-acetylglucosamine and maltose. Negative for nitrate reduction, indole production, arginine dihydrolase, urease, β-galactosidase and β-glucosidase hydrolysis. The strain is able to utilize/oxidize (using the Biolog GEN III system) l-alanine, l-glutamate, citrate, α-ketoglutarate, l-malate, bromo-succinate, propionate, acetate, methyl pyruvate, l-lactate, α-hydroxybutyrate, α-ketobutyrate, d-lactic acid methyl ester and β-hydroxybutyrate. The type strain is ULE_I010T (=CECT 31168T=CCP 534T), isolated from a loin steak packaged under MAP obtained from a supermarket in León, Spain, in February 2022. Its genome has a size of 3.56 Mb and its G+C content is 37.2 mol%. The GenBank accession numbers for the 16S rRNA gene and the whole-genome sequences are PV889002 and GCF_048552595.1, respectively.

Supplementary material

Fig. S1.
DOI: 10.1099/ijsem.0.007285

Acknowledgements

We thank Dr. Teresa Gonçales Ribeiro for her assistance and expert advice analyzing the overall genome relatedness indices.

Abbreviations

AAI

average amino acid identity

ANI

average nucleotide identity

ANIb

average nucleotide identities based on BLAST+

BHI

Brain Heart Infusion

BTS

bacterial test standard

dDDH

digital DNA–DNA hybridization

GABA

γ-aminobutyric acid

KO

KEGG Orthology

LB

Luria–Bertani

LPSN

list of prokaryotic names with standing in nomenclature

MAG

metagenome-assembled genome

MALDI-TOF MS

matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

MAP

modified atmosphere packaging

MSP

main spectra profile

NCBI

National Center for Biotechnology Information

OGRIs

overall genome relatedness indices

PCoA

principal coordinate analysis

TSB

Trypto-Casein Soy Broth

Footnotes

Funding: This work was supported by the Ministry of Science, Innovation and Universities of the Spanish Government, under grant number PID2020-118813GB-I00. A.P. is a beneficiary of a pre-doctoral contract grant (PRE2021-098910) funded by the Ministry of Science, Innovation and Universities (MCIN/AEI/10.13039/501100011033) of the Spanish Government and co-financed by the European Social Fund Plus (ESF+). C.G. (project LE088P23) is supported by the Junta de Castilla y León. C.B. received funding from the Project DeliSoil, funded by the European Union under the Horizon Europe Program (101112855).

Author contributions: A.P. identified and performed the experiments and analyses to characterize the isolates. J.F.C.-D. performed the PCoA, MAGs and clonality analyses. Some experiments were performed under the supervision of F.G. C.B. provided assistance with some analyses. C.G. provided guidance and supervision for all analyses. All authors contributed to the writing and reviewing of the manuscript.

Accession No: Genome sequences are available at NCBI, under the accession numbers GCA_048551895.1, GCA_048552775.1, GCA_048552295.1, GCA_048552075.1, GCA_048551795.1, GCA_048551735.1, GCA_048549855.1, GCA_048549775.1, GCA_048549615.1, GCA_048549535.1, GCA_048549335.1, GCA_048552595.1 and JBWLXM000000000 for isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080, ULE_I092, ULE_I010T and LMG 10606, respectively, under the BioProject accession number PRJNA1171643. The 16S rRNA gene sequences accession numbers are PV889005, PV889001, PV889003, PV889004, PV889006, PV889007, PV889008, PV889009, PV889010, PV889011, PV889012, PV889002 and PZ251116 of isolates ULE_I046T, ULE_I001, ULE_I024, ULE_I037, ULE_I053, ULE_I057, ULE_I064, ULE_I068, ULE_I075, ULE_I080, ULE_I092, ULE_I010T and LMG 10606, respectively.

Contributor Information

Alba Puente, Email: apueb@unileon.es.

Cristina Galisteo, Email: cgalg@unileon.es.

José F. Cobo-Díaz, Email: jcobd@unileon.es.

Filipa Grosso, Email: filipagrosso@gmail.com.

Coral Barcenilla, Email: cbarc@unileon.es.

Mercedes López, Email: mmlopf@unileon.es.

Miguel Prieto, Email: miguel.prieto@unileon.es.

Luisa Peixe, Email: lpeixe@gmail.com0000-0001-5810-8215.

Avelino Alvarez-Ordóñez, Email: aalvo@unileon.es.

References

  • 1.Brisou J, Prevot AR. Studies on bacterial taxonomy. X. The revision of species under Acromobacter group. Ann Inst Pasteur. 1954;86:722–728. [PubMed] [Google Scholar]
  • 2.Parte AC, Sardà Carbasse J, Meier-Kolthoff JP, Reimer LC, Göker M. List of prokaryotic names with standing in nomenclature (LPSN) moves to the DSMZ. Int J Syst Evol Microbiol. 2020;70:5607–5612. doi: 10.1099/ijsem.0.004332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Vaz-Moreira I, Novo A, Hantsis-Zacharov E, Lopes AR, Gomila M, et al. Acinetobacter rudis sp. nov., isolated from raw milk and raw wastewater. Int J Syst Evol Microbiol. 2011;61:2837–2843. doi: 10.1099/ijs.0.027045-0. [DOI] [PubMed] [Google Scholar]
  • 4.Carvalheira A, Gonzales-Siles L, Salvà-Serra F, Lindgren Å, Svensson-Stadler L, et al. Acinetobacter portensis sp. nov. and Acinetobacter guerrae sp. nov., isolated from raw meat. Int J Syst Evol Microbiol. 2020;70:4544–4554. doi: 10.1099/ijsem.0.004311. [DOI] [PubMed] [Google Scholar]
  • 5.Elnar AG, Kim M-G, Lee J-E, Han R-H, Yoon S-H, et al. Acinetobacter pullorum sp. nov., isolated from chicken meat. J Microbiol Biotechnol. 2020;30:526–532. doi: 10.4014/jmb.2002.02033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Carvalheira A, Silva J, Teixeira P. Acinetobacter spp. in food and drinking water - A review. Food Microbiol. 2021;95:103675. doi: 10.1016/j.fm.2020.103675. [DOI] [PubMed] [Google Scholar]
  • 7.Puente A, Cobo-Díaz JF, Oliveira M, Cordero-García R, Grosso F, et al. Diverse Acinetobacter in retail meat: a hidden vector of novel species and antimicrobial resistance genes, including plasmid-borne blaOXA-58, mcr-4.3 and tet(X3) Int J Food Microbiol. 2025;441:111313. doi: 10.1016/j.ijfoodmicro.2025.111313. [DOI] [PubMed] [Google Scholar]
  • 8.Nemec A, Musílek M, Šedo O, De Baere T, Maixnerová M, et al. Acinetobacter bereziniae sp. nov. and Acinetobacter guillouiae sp. nov., to accommodate Acinetobacter genomic species 10 and 11, respectively. Int J Syst Evol Microbiol. 2010;60:896–903. doi: 10.1099/ijs.0.013656-0. [DOI] [PubMed] [Google Scholar]
  • 9.Bouvet PJM, Grimont PAD. Taxonomy of the genus Acinetobacter with the recognition of Acinetobacter baumannii sp. nov., Acinetobacter haemolyticus sp. nov., Acinetobacter johnsonii sp. nov., and Acinetobacter junii sp. nov. and emended descriptions of Acinetobacter calcoaceticus and Acinetobacter lwoffii. Int J Syst Bacteriol. 1986;36:228–240. doi: 10.1099/00207713-36-2-228. [DOI] [Google Scholar]
  • 10.Jeong S, Hong JS, Kim JO, Kim KH, Lee W, et al. Identification of Acinetobacter species using matrix-assisted laser desorption ionization-time of flight mass spectrometry. Ann Lab Med. 2016;36:325–334. doi: 10.3343/alm.2016.36.4.325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Carvalheira A, Casquete R, Silva J, Teixeira P. Prevalence and antimicrobial susceptibility of Acinetobacter spp. isolated from meat. Int J Food Microbiol. 2017;243:58–63. doi: 10.1016/j.ijfoodmicro.2016.12.001. [DOI] [PubMed] [Google Scholar]
  • 12.Lupo A, Vogt D, Seiffert SN, Endimiani A, Perreten V. Antibiotic resistance and phylogenetic characterization of Acinetobacter baumannii strains isolated from commercial raw meat in Switzerland. J Food Prot. 2014;77:1976–1981. doi: 10.4315/0362-028X.JFP-14-073. [DOI] [PubMed] [Google Scholar]
  • 13.Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. Using SPAdes de novo assembler. Curr Protoc Bioinformatics. 2020;70:e102. doi: 10.1002/cpbi.102. [DOI] [PubMed] [Google Scholar]
  • 14.Chklovski A, Parks DH, Woodcroft BJ, Tyson GW. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat Methods. 2023;20:1203–1212. doi: 10.1038/s41592-023-01940-w. [DOI] [PubMed] [Google Scholar]
  • 15.Beyvers S, Jelonek L, Goesmann A, Schwengers O. Bakta web - Rapid and standardized genome annotation on scalable infrastructures. Nucleic Acids Res. 2025;53:W51–W56. doi: 10.1093/nar/gkaf335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk: a toolkit to classify genomes with the genome taxonomy database. Bioinformatics. 2020;36:1925–1927. doi: 10.1093/bioinformatics/btz848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chalita M, Kim YO, Park S, Oh H-S, Cho JH, et al. EzBioCloud: a genome-driven database and platform for microbiome identification and discovery. Int J Syst Evol Microbiol. 2024;74:006421. doi: 10.1099/ijsem.0.006421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kolmogorov M, Bickhart DM, Behsaz B, Gurevich A, Rayko M, et al. metaFlye: scalable long-read metagenome assembly using repeat graphs. Nat Methods. 2020;17:1103–1110. doi: 10.1038/s41592-020-00971-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 21.Tonkin-Hill G, MacAlasdair N, Ruis C, Weimann A, Horesh G, et al. Producing polished prokaryotic pangenomes with the Panaroo pipeline. Genome Biol. 2020;21:180. doi: 10.1186/s13059-020-02090-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Riesco R, Trujillo ME. Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol. 2024;74:006300. doi: 10.1099/ijsem.0.006300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kim D, Park S, Chun J. Introducing EzAAI: a pipeline for high throughput calculations of prokaryotic average amino acid identity. J Microbiol. 2021;59:476–480. doi: 10.1007/s12275-021-1154-0. [DOI] [PubMed] [Google Scholar]
  • 24.Konstantinidis KT, Tiedje JM. Prokaryotic taxonomy and phylogeny in the genomic era: advancements and challenges ahead. Curr Opin Microbiol. 2007;10:504–509. doi: 10.1016/j.mib.2007.08.006. [DOI] [PubMed] [Google Scholar]
  • 25.Konstantinidis KT, Rosselló-Móra R, Amann R. Uncultivated microbes in need of their own taxonomy. ISME J. 2017;11:2399–2406. doi: 10.1038/ismej.2017.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Richter M, Rosselló-Móra R, Oliver Glöckner F, Peplies J. JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics. 2016;32:929–931. doi: 10.1093/bioinformatics/btv681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Göker M. TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucleic Acids Res. 2022;50:D801–D807. doi: 10.1093/nar/gkab902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, et al. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol. 2007;57:81–91. doi: 10.1099/ijs.0.64483-0. [DOI] [PubMed] [Google Scholar]
  • 29.Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci U S A. 2009;106:19126–19131. doi: 10.1073/pnas.0906412106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Chun J, Rainey FA. Integrating genomics into the taxonomy and systematics of the Bacteria and Archaea. Int J Syst Evol Microbiol. 2014;64:316–324. doi: 10.1099/ijs.0.054171-0. [DOI] [PubMed] [Google Scholar]
  • 31.Stackebrandt E, Goebel BM. Taxonomic note: a place for DNA-DNA reassociation and 16S rRNA sequence analysis in the present species definition in bacteriology. Int J Syst Evol Microbiol. 1994;44:846–849. doi: 10.1099/00207713-44-4-846. [DOI] [Google Scholar]
  • 32.Auch AF, Klenk HP, Göker M. Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs. Stand Genomic Sci. 2010;2:142–148. doi: 10.4056/sigs.541628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol Biol Evol. 2021;38:5825–5829. doi: 10.1093/molbev/msab293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Carlino N, Blanco-Míguez A, Punčochář M, Mengoni C, Pinto F, et al. Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. Cell. 2024;187:5775–5795. doi: 10.1016/j.cell.2024.07.039. [DOI] [PubMed] [Google Scholar]
  • 35.Barcenilla C, Cobo-Díaz JF, Puente A, Valentino V, De Filippis F, et al. In-depth characterization of food and environmental microbiomes across different meat processing plants. Microbiome. 2024;12:199. doi: 10.1186/s40168-024-01856-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Clemmer KM, Bonomo RA, Rather PN. Genetic analysis of surface motility in Acinetobacter baumannii. Microbiology. 2011;157:2534–2544. doi: 10.1099/mic.0.049791-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nemec A, Musílek M, Maixnerová M, De Baere T, van der Reijden TJK, et al. Acinetobacter beijerinckii sp. nov. and Acinetobacter gyllenbergii sp. nov., haemolytic organisms isolated from humans. Int J Syst Evol Microbiol. 2009;59:118–124. doi: 10.1099/ijs.0.001230-0. [DOI] [PubMed] [Google Scholar]
  • 38.Cruze JA, Singer JT, Finnerty WR. Conditions for quantitative transformation in Acinetobacter calcoaceticus. Curr Microbiol. 1979;3:129–132. doi: 10.1007/BF02601853. [DOI] [Google Scholar]
  • 39.Ren X, Palmer LD. Acinetobacter metabolism in infection and antimicrobial resistance. Infect Immun. 2023;91:e0043322. doi: 10.1128/iai.00433-22. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Fig. S1.
DOI: 10.1099/ijsem.0.007285

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