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Article

Genotypic and Phenotypic Characterization of Cronobacter spp. Strains Isolated from Powdered Milk Formulas and Dairy Production Environments

by
Julio Parra-Flores
1,2,*,
Beatriz Daza-Prieto
3,
Miriam Troncoso
4,
Guillermo Figueroa
5,
Maria I. Reyes-Fuentes
2,
Ondrej Holy
6,
Ariadnna Cruz-Córdova
7,
Werner Ruppitsch
8 and
Stephen Forsythe
9,*
1
Department of Nutrition and Public Health, Facultad de Ciencias de la Salud y de los Alimentos, Universidad del Bío-Bío, Chillán 3800708, Chile
2
Laboratorio de Investigación Celular y Molecular en Ciencias de la Salud, Facultad de Ciencias de la Salud y de los Alimentos, Universidad del Bío-Bío, Chillán 3800708, Chile
3
Institute of Medical Microbiology and Hygiene, Austrian Agency for Health and Food Safety, 1220 Vienna, Austria
4
Fundación Instituto Profesional Duoc UC, Santiago 8240000, Chile
5
Microbiology and Probiotics Laboratory, Institute of Nutrition and Food Technology, Universidad de Chile, Santiago 7830490, Chile
6
Department of Health Care Sciences, Faculty of Humanities, Tomas Bata University in Zlín, 76001 Zlín, Czech Republic
7
Immunochemistry Research Laboratory, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico
8
Institute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria
9
FoodMicrobe.com Ltd., Keyworth, Nottinghamshire NG12 5GY, UK
*
Authors to whom correspondence should be addressed.
Microorganisms 2026, 14(3), 593; https://doi.org/10.3390/microorganisms14030593
Submission received: 2 February 2026 / Revised: 24 February 2026 / Accepted: 28 February 2026 / Published: 6 March 2026
(This article belongs to the Special Issue Microbial Safety and Molecular Detection in Food Production and Processing)
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Abstract

Cronobacter spp. is a pathogenic genus comprising seven species, of which C. sakazakii is particularly notable for its association with neonatal outbreaks linked to powdered infant formula. The severity of infections is associated with virulence factors (VFs) and β-lactam antibiotic resistance genes (ARGs). Next-generation sequencing (NGS) has enabled precise strain typing through core genome multilocus sequence typing (cgMLST), enhancing discrimination and accuracy. This study aimed to use cgMLST (2831 genes) to genomically characterize 34 Cronobacter strains which had been isolated from powdered milk and production surfaces between 2011 and 2022. The identified strains included C. sakazakii ST1, ST4, ST13, ST31 and ST83, as well as C. malonaticus ST60. Overall, there were eight clusters of closely related strains. All strains exhibited resistance to cephalothin, 18 were resistant to ceftazidime and 11 to ampicillin. Various resistance genes (blaCSA, blaCMA, fos, qacJ, marA, AcrAB-TolC, and mcr-9.1) and virulence genes (cpa, nanAKT, fic, relB, fliC) were detected, with some genes being exclusive to C. sakazakii. All strains carried plasmids and mobile genetic elements. The multidrug resistance and presence of virulence genes in these isolates highlight the significant risk that C. sakazakii-contaminated powdered dairy products pose to public health, underscoring the need to adopt proper hygienic manufacturing practices and effectively implement HACCP in their production.

1. Introduction

Cronobacter is a genus of bacterial pathogens consisting of seven species: C. sakazakii, C. malonaticus, C. universalis, C. turicensis, C. muytjensii, C. dublinensis, and C. condimenti [1,2,3]. The species of highest clinical significance is C. sakazakii, which has been reported in cases and outbreaks associated with infants fed contaminated powdered infant formula, followed by C. malonaticus in adult infections [4,5,6].
The main clinical symptoms associated with C. sakazakii include meningitis, septicemia, or necrotizing enteritis in infants [7,8], while for C. malonaticus, symptoms are associated with gastroenteritis and urinary tract infections [9]. Documented mortality rates range from 15% to 80% for general infections and 15% to 25% for neonatal meningitis and septicemia, respectively [10].
The disease is associated with the consumption of rehydrated powdered formula, which acts as a source of the pathogen, as well as with utensils and equipment serving as reservoirs. Cronobacter spp. can be isolated from powdered infant formulas, rehydrated milk, cereals, foods, water, surfaces, homes, and hospitals [11,12]. Although the source of contamination is not always identified, it is suggested that manufacturing plants for powdered infant formula (PIF) are its natural habitat [4,13]. Controlling Cronobacter spp. in the early stages of PIF production is essential to reduce the incidence of pathogens, as some strains have been found up to two years after packaging [14].
Between 1958 and 2016, eight countries reported cases of C. sakazakii, raising growing concerns for public health [15]. In the United States, between 2002 and 2024, 23 cases of C. sakazakii in infants were identified and confirmed, of which 8 were invasive and 15 non-invasive. The invasive cases were associated with a younger infant population, with a median age of 18 days, compared to 98 days for the non-invasive cases. Open and closed powdered infant formulas (PIFs) were cultured from 10 investigations representing both invasive and non-invasive cases. The open PIF samples were analyzed, and 25% tested positive for C. sakazakii ST4, while one (11%) closed PIF sample also tested positive for C. sakazakii ST4 [16].
Molecular typing has established itself as an essential approach for understanding bacteria that colonize specific ecological niches. The implementation of the multilocus sequence typing (MLST) scheme developed by Baldwin et al. (2009) has enhanced the identification of Cronobacter spp., providing valuable information on the genetic prevalence of C. sakazakii associated with neonatal meningitis in infants [4,17]. With the broader use of whole genome sequencing (WGS), detailed gene-by-gene analysis, using MLST typing, especially core genome MLST (cgMLST), offers high discrimination and a more accurate view of the taxonomic differences among pathogenic strains. Additionally, WGS has facilitated the identification of pathogens and the detection of genes related to antibiotic resistance, virulence factors, and the presence of plasmids, enabling the establishment of more precise epidemiological relationships [18,19]. In this context, both resistance and virulence are crucial factors in the pathogenicity of Cronobacter spp., and methods such as MLST, cgMLST, and WGS are fundamental for the accurate characterization of these strains, contributing to a better understanding of their epidemiology and control strategies.
Given the risk to infant health, there is a need to generate more information concerning C. sakazakii’s presence in powdered milk formulas and the production environment. Therefore, the aim of this study is to conduct the genotypic and phenotypic characterization of Cronobacter spp. strains isolated from powdered milk formulas and dairy production environments.

2. Materials and Methods

2.1. Isolation and Identification

This study utilized a total of 34 strains that were exclusively isolated from powdered milk, ingredients (milk powdered ingredients and milk serum) and the manufacturing environments of a single dairy formula production company between 2011 and 2022 in Chile. Cronobacter spp. strains were isolated using the method outlined by Iversen et al. [20]. Samples from food and the environment were initially pre-enriched in buffered peptone water (BPW), followed by enrichment in Enterobacteriaceae broth (BD Difco, Sparks, MD, USA), and then plated on Brilliance CM 1035 chromogenic agar (Oxoid Thermo-Fisher, UK). They were subsequently purified on trypticase soy agar (BD Difco, Sparks, MD, USA). Before sequencing, strains were identified by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) using the MBT Compass IVD 4.1.60 software (Bruker, Billerica, MA, USA) as described by Lepuschitz et al. [21]. Identification of Cronobacter spp. strains was further complemented with ribosomal multilocus sequence typing (rMLST) software available at https://pubmlst.org/species-id (accessed on 15 January 2026) [22].

2.2. Whole Genome Sequencing (WGS)

Cronobacter spp. isolates were cultivated on Columbia blood agar plates (bioMérieux, Marcy-l’Étoile, France) at 37 °C for 24 h. For whole genome sequencing (WGS), DNA was extracted using the MagAttract HMW DNA Kit (Qiagen, Hilden, Germany). DNA quantification was performed with a Qubit 2.0 fluorometer (Thermo Fisher Scientific, Waltham, MA, USA). Sequencing libraries were prepared using Nextera XT chemistry for paired-end sequencing (2 × 300 bp) on an Illumina MiSeq sequencer, targeting a minimum of 80-fold coverage. The resulting FASTQ files were quality trimmed and de novo assembled with SPAdes v. 3.11.1. Contigs underwent filtering for a minimum coverage of 5× and a length of 200 bp using MBioSEQ Ridom Typer 11.1 software (Ridom, Münster, Germany) [23]. Raw reads were controlled for quality with FastQC, and Trimmomatic was used to remove adapter sequences and low-quality reads.

2.3. Sequence Type (ST) and Core Genome Multilocus Sequence Typing (cgMLST) of Cronobacter spp.

A total of 2831 targets were used to establish the core genome multilocus sequence typing (cgMLST) scheme of Cronobacter spp. using strain ATCC BAA-894 as a reference using a target gene loci task template of the MBioSEQ Ridom Typer 11.1 software (Ridom, Münster, Germany) [21,23]. According to the determined cgMLST scheme, isolates were visualized with a minimum spanning tree (MST) to establish their genotypic relationships and defining as clusters those isolates with maximum differences of 10 alleles [21]. In addition, the sequences of the seven housekeeping genes of the conventional MLST for Cronobacter sakazakii (atpD, fusA, glnS, gltB, gyrB, infB and ppsA) were extracted and cross-checked against the Cronobacter MLST database https://pubmlst.org/organisms/cronobacter-spp (accessed on 15 January 2026) [17].

2.4. Determination of Serotypes

The gnd and galF genes profiles, specific to the serotype O region of Cronobacter spp., were analyzed through WGS using the BIGSdb tool provided in the PubMLST database https://pubmlst.org/organisms/cronobacter-spp (accessed on 15 January 2026).

2.5. Antibiotic Susceptibility

To assess antibiotic susceptibility, the disk diffusion method was employed following the guidelines set by the Clinical and Laboratory Standards Institute [24]. The commercial disks used included ampicillin (10 μg), amoxicillin–clavulanic acid (20/10 µg), ceftazidime (30 µg), ciprofloxacin (5 μg), chloramphenicol (30 μg), cefotaxime (30 μg), gentamicin (10 μg), cephalothin (30 μg), tetracycline (30 μg), and nalidixic acid (30 μg). The resistance and susceptibility profiles were characterized according to the manufacturer’s instructions. Strains of Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853 served as internal controls.

2.6. Detection of Antibiotic Resistance and Virulence Genes

For the analysis of resistance genes, the Comprehensive Antibiotic Resistance Database (CARD) was utilized with the “perfect” and “strict” default settings, applying only high-quality and high-coverage sequences [25]. This was complemented by the Task Template AMRFinderPlus 4.0.15 available in the MBioSEQ Ridom Typer 11.1 software, using a method that ensures 100% identity and aligned overlap [26]. To identify genes and proteins associated with virulence, a manual search for virulence genes was conducted using the Gene Comparator tool available in PubMLST Cronobacter, applying a core threshold of 90% and a minimum identity of 70% https://pubmlst.org/bigsdb?db=pubmlst_cronobacter_isolates&page=query&genomes=1 (accessed on 16 January 2026).

2.7. Reconstruction of Plasmids, Chromosome, and Mobile Genetic Elements

The reconstruction of chromosomes, plasmids and mobile elements used the “Chromosome and Plasmids Overview” Task Template with the MOB-suite tool v3.1.8 [27]. For the identification of integrative mobile genetic elements (iMGEs) in WGS sequences, the “CGE MobileElementFinder” Task Template was employed along with the MobileElementFinder v1.1.2 tool with identify filter of 90% and aligned filter of 95% [28]. All Task Templates were executed in the MBioSEQ Ridom Typer 11.1 software [23].

3. Results

3.1. Isolation and Identification

Of the 34 strains, 5 (14.7%) had been isolated from powdered infant formula (PIF), 4 (11.8%) from powdered milk (PM), 9 (26.5%) from ingredients, and 16 (47.0%) from surfaces and environments. The year 2016 had the highest number of isolates, with 16 strains, followed by 2017 with 7 strains. Among the 34 strains analyzed, 31 were confirmed as Cronobacter sakazakii and 3 as Cronobacter malonaticus (Table 1).

3.2. Sequence Type (ST) and Core Genome Multilocus Sequence Typing (cgMLST) of Cronobacter spp.

The majority (91.2%, 31/34) of the isolates were confirmed as C. sakazakii. Of these, 8 isolates were genotyped as ST1 (CC1 and CsakO1), 1 as ST4 (CC4 and CsakO4), 2 as ST13 (CC13 and CsakO2), 8 strains as ST31 (CC31 and CsakO2), and 12 strains as ST83 (CC83 and CsakO7). The remaining 8.8% (3/34) were identified as C. malonaticus ST60 (CC60 and CmalO1) (Table 1).
Using the gene-by-gene cgMLST scheme, the isolates were grouped into eight closely related clusters. C. sakazakii ST1 was divided into two clusters: cluster number 3, which includes five isolates with no allele differences, and cluster number 5, which contains three isolates with a maximum of five allele differences. C. sakazakii ST13 was grouped in cluster number 8 with two strains and two allele differences, while ST31 was placed in cluster number 1 with eight isolates, showing between one and five allele differences. C. sakazakii ST83 was grouped into three clusters: cluster number 2 with five strains and one allele difference, in cluster number 4 with four strains and five allele differences, and in cluster number 6 with three strains and one allele difference. C. malonaticus was grouped in cluster number 7 with three strains and two allele differences (Figure 1).
After analyzing 174 additional strains from the public MLST database of Cronobacter, which included 32 strains of C. sakazakii ST1, 87 strains of ST4, 6 strains of ST31, 9 strains of ST83, and 9 strains of C. malonaticus ST60, it was observed that in cluster number 1 of ST31 strains, there was one closely related strain (3412_510556), which had been isolated from PIF in 2019 in Chile (Figure 2).

3.3. Antibiotic Susceptibility

All analyzed strains exhibited resistance to cephalothin (34/34). Resistance to ampicillin was also observed in 55.9% (19/34), to ceftazidime in 53% (18/34) of the strains, to amoxicillin–clavulanic acid in 14.7% (5/34), and to nalidixic acid in 5.8% (2/34). According to their antibiotic classes, these strains exhibited resistance to ampicillin (penicillins), amoxicillin–clavulanic acid (β-lactam combination agents), ceftazidime, cephalothin (cephalosporins), and nalidixic acid. Four strains were classified as multidrug-resistant (MDR), defined as resistant to three or more antibiotic classes. Notably, two ST1 strains were MDR, exhibiting resistance to four antibiotic classes (isolates 5101548 and 510175). Two strains (ST1 and ST31) were resistant to three antibiotic classes (isolates 510388 and 510414), and 14 isolates to two antibiotic classes. The MDR strains were primarily isolated from powdered milk, ingredients to prepare milk powder and milk powder mix (Supplementary Table S1).
Additionally, the three C. malonaticus strains were resistant to cephalothin, and one was resistant to ceftazidime (Supplementary Table S1).

3.4. Detection of Antibiotic Resistance and Virulence Genes

All analyzed strains possess β-lactamases with resistance to cephalothin on the bacterial chromosome. In C. sakazakii ST1, ST13, ST31, and ST83, blaCSA-1 was detected, whereas blaCSA-2 was found in ST4. In C. malonaticus ST60, blaCMA-1 was identified. The mcr-9.1 gene, conferring resistance to colistin, was detected in three strains of C. sakazakii ST1 (510292, 510175, and 5101548), all originating from powdered milk. The dfrA51 gene (trimethoprim-resistant dihydrofolate reductase), conferring resistance to trimethoprim, was found in three strains of C. sakazakii ST83 (510364, 510363, and 510407) from powdered milk ingredients and dairy serum. The genes qacG, qacJ, AcrAB-TolC with MarR mutations, adeF, marA, EF-tu, and msbA, conferring resistance to disinfectants and various antibiotics, were found in 100% of the strains and are associated with resistance mechanisms such as antibiotic efflux, reduced permeability to antibiotics, and antibiotic target alteration.
Additionally, the heat resistance loci hsp20 (small heat shock protein sHSP20), clpK (heat shock survival AAA family), shsP (small heat shock protein sHSP20-GI), yfdx1 (heat resistance protein), yfdx2 (heat resistance protein), hdeD-GI (heat resistance membrane protein), trxLHR (heat resistance system thioredoxin), kefb-GI (heat resistance system K+/H+ antiporter), and psi-GI (heat resistance protein) were identified on the chromosome of C. sakazakii ST4, while the genes hsp20 and clpK were detected in all 12 strains of C. sakazakii ST83 (Table 2).
A total of 35 virulence genes were detected, with only 31 shared between C. sakazakii and C. malonaticus strains, as the cpa and nanAKT genes were present only in C. sakazakii. These genes were grouped into several categories: flagellar proteins (flg), outer membrane proteins (ompA), chemotaxis (motB), hemolysins (hlyIII), invasion (lpxA), plasminogen activator (cpa), colonization (mviM), small heat shock proteins (ibpA), transcriptional regulators (sdiA), macrophage survival, sialic acid usage (nanA,K,T), toxin–antitoxin systems (relB), and desiccation tolerance (wzzB) (Table 3).

3.5. Plasmids, Chromosome, and Mobile Genetic Elements

All strains exhibited plasmids of various origins. In C. sakazakii ST1 strains, the plasmid pESA3 (accession number CP000785) was detected in 100% of the analyzed strains. In C. sakazakii ST4, the plasmid pCS2 was identified, while the plasmid pSP291-1 was found in both isolates of ST13. Among the eight C. sakazakii ST31 strains, the plasmid pSP291-1 was only detected in two isolates, while the remaining six strains harbored the plasmid pCMA2 from C. malonaticus, with no differences according to the origin of the strains. Furthermore, 100% of the C. sakazakii ST83 isolates were found to carry the plasmid pSP291-2. Additionally, in three strains of ingredients for preparing PM (510364-24, 510363-24, and 510407-24), a smaller plasmid, pCS1, was detected. The three strains of C. malonaticus shared the plasmid pCMA1. Six unnamed plasmids were also identified which had previously been reported in Escherichia coli (4) and Neisseria (2). Eighty percent of the strains (27/34) exhibited mobile genetic elements (MGEs), with insertion sequences (ISs) being the most prevalent. To a lesser extent, composite transposons (cn) were identified in C. sakazakii ST83 strains, and a transposon (Tn) was found in one strain of C. malonaticus (530386-24) (Table 4).

4. Discussion

In 2022, a major manufacturer of powdered infant formula (PIF) initiated a voluntary recall due to intrinsic contamination following the emergence of four sporadic cases of invasive disease caused by Cronobacter spp. This situation led to a shortage of this vital food for several months, highlighting the importance of controlling this pathogenic microorganism in powdered dairy formulas [29].
In our study, 53% of the isolated strains were derived from powdered formulas or their ingredients, as well as from various manufacturing surfaces and environments. This aspect is relevant since powdered formulas are intrinsically non-sterile, and the product may become contaminated during production and subsequent rehydration. Furthermore, there is a potential risk of bacterial growth during reconstitution if basic factors such as the temperature of the rehydration water and holding time before consumption are not considered [30]. Ekundayo and Ijabadeniyi (2024) reported a global prevalence of C. sakazakii at 8.39%, with variation in powdered milk formulas depending on detection methods and differences in sample sizes used [31]. Controlling Cronobacter spp. in dairy product manufacturing begins with separating the external environment from the internal production process. Since this pathogen has been found on human skin and hands, it is essential to wash hands before entering the facility and to maintain good hygiene when changing clothes and shoes [32]. Additionally, contamination should be prevented through items such as work shoes, equipment, or wheeled carts, as they are efficient vectors for the pathogen’s spread in the environment [33], as demonstrated in our study where we found it in the soil and dust from control vacuum cleaners. Tong et al. (2024) [34], in their seven-year surveillance study in infant formula manufacturing plants, found that the source of Cronobacter spp. primarily originated from raw dry ingredients and the manufacturing environment, particularly from equipment such as vibrating sieves and vacuums. Additionally, in the combined process, contamination occurred in the packing room, where no subsequent thermal treatment was applied. Furthermore, it was observed that strengthening hygiene management regarding raw materials could help reduce the incidence of Cronobacter spp. in final products, such as powdered infant formula [34].
Core genome multilocus sequence typing (cgMLST) is crucial for distinguishing closely related species due to its high resolution and ability to identify subtle genetic differences. This method enhances epidemiological tracking, informs on transmission dynamics, and supports public health interventions effectively [35]. In our study, we utilized cgMLST for C. sakazakii/C. malonaticus to assess these closely related species and their temporal persistence. This scheme was employed in a multicenter study in Europe, which analyzed 59 isolates of C. sakazakii and three reference strains, revealing an average allelic difference of 2402 alleles. Moreover, eight isolates of C. sakazakii ST1, which included two epidemiologically related neonatal stool strains from Austria in 2009, showed only one allelic difference, highlighting the high discrimination power of the method [21]. In our analysis, we found that 33 out of 34 strains clustered into eight closely related clusters, regardless of the year and origin of the isolate, with the exception of C. sakazakii ST4. Previously, in 2021, a group of six ST1 strains of C. sakazakii was reported in Chile, exhibiting between one and three allelic differences, alongside one unrelated ST83 strain. In 2022, three closely related ST1 strains were identified [36]. In this regard, a strain of C. sakazakii ST31 isolated from powdered infant formula (PIF) in Chile in 2019 was closely related (no alleles of difference) to the ST31 strains from ingredients or environmental surfaces in this study, indicating it could be the primary source of contamination and persistence over time. The significance of this lies in the fact that C. sakazakii ST31 has been isolated from both PIF and clinical cases [37].
Infections caused by C. sakazakii, particularly those leading to septicemia and meningitis, require effective antibiotic treatments [38]. However, the resistance of strains in infant products is alarming, as consumers are often immunologically vulnerable. The inappropriate use of antibiotics in agriculture and livestock has increased multidrug resistance in these isolates [39]. In our study, all the strains examined were resistant to cephalothin and to a lesser extent to ceftazidime and ampicillin, with multidrug resistance (MDR) to four antibiotics (C. sakazakii ST1) and to three antibiotics classes (C. sakazakii ST1 and ST31). Caubilla-Barron et al. (2007) reported that strains isolated from two fatal neonatal infections expressed β-lactamases [40]. Hochel et al. (2012) found that all Cronobacter strains isolated from 399 retail food samples were resistant to erythromycin, and two of them were also resistant to tetracycline [41]. In Korea, Chon et al. (2012) reported that 77.8% of Cronobacter strains isolated from dehydrated foods were resistant to cephalothin [42]. Kilonzo-Nthenge et al. (2012) found that C. sakazakii isolates exhibited resistance to penicillin (76.1%), tetracycline (66.6%), ciprofloxacin (57.1%), and nalidixic acid (47.6%), while all were susceptible to gentamicin [43]. A study in China by Li et al. (2016) revealed high resistance to amoxicillin–clavulanate, rifampicin, tetracycline, streptomycin, and ampicillin in C. sakazakii strains isolated from milk-based infant foods [44]. Fei et al. (2017) also isolated C. sakazakii from PIF samples, finding high resistance to cephalothin [45]. Li et al. (2023) reported the presence of strains with 65% resistance to cephalothin [46]. In Iran, C. sakazakii strains resistant to ampicillin, amoxicillin, ciprofloxacin, and tetracycline were documented [39]. This resistance pattern was corroborated by Fei et al. (2022), who reported that 55.56% of the isolates were resistant to cephalothin and 96.30% to vancomycin [47]. Pakbin et al. (2022) [48] found that C. sakazakii isolates exhibited high resistance to several antibiotics, including amoxicillin–clavulanate (96%), amoxicillin (96%), ampicillin (96%), cefoxitin (92%), cefepime (92%), and others. Furthermore, 25 isolates were considered resistant to multiple drugs (MDR) [48]. Song et al. (2023), while analyzing 96 strains of Cronobacter spp., found that the strains of C. sakazakii and C. malonaticus were resistant to aminoglycosides, cephalosporins, and penicillins [49].
Muller et al. (2014) identified two unusual but very similar variants of the AmpC in C. sakazakii and C. malonaticus isolates, which conferred resistance exclusively to first-generation cephalosporins [50]. In this study the AmpC β-lactamases were designated CSA-1 and CSA-2 for C. sakazakii and CMA-1 and CMA-2 for C. malonaticus, those that we also found in this study. Specifically, blaCSA-1 in C. sakazakii ST1, ST13, ST31, and ST83, while blaCSA-2 was found in C. sakazakii ST4, and blaCMA-1 was found in C. malonaticus. Other authors have also found resistance genes to these antibiotics in Cronobacter strains in China [51,52]. On the other hand, the colistin resistance gene was identified in three strains of C. sakazakii originating from PIF and PM. The mcr-9.1 gene is considered a gene that can confer plasmid-mediated phenotypic resistance to colistin in various species of Enterobacteriaceae, which are public health concern pathogens. Colistin, or polymyxin, is an antibiotic with significant activity against Gram-negative bacteria, with the outer cell membrane being its primary site of action. This mcr gene circulates widely without detection unless induced by colistin [53,54,55]. Therefore, its presence constitutes a global concern, as colistin is regarded as a last-resort drug for treating infections caused by multidrug-resistant Enterobacteriaceae bacteria [56]; however, the presence of the gene in the genome of the bacteria does not imply that it is being expressed, which we corroborate with the phenotypic analysis, where no resistance to this antibiotic was detected. In addition, we found the dfrA51 gene in three strains of C. sakazakii ST83 originating from PM ingredients, which confers resistance to trimethoprim. This is a new gene reported in 2025 in phage-plasmids, coding for proteins with at least 50% amino acid identity with all previously reported DfrA proteins [57]. Mobile dfr genes, which code for dihydrofolate reductases (DHFRs), are generally transported as cassettes in integrons or associated with insertion sequences (ISs). They have been identified in enterobacteria such as Salmonella and E. coli, which are pathogens associated with infections in humans [58,59].
In our study, a similar virulence gene profile was found in both C. sakazakii and C. malonaticus. Differences were only noted in C. malonaticus, as the cpa and nanAKT genes were not present. Joseph et al. (2013) [60] report that the nanAKT gene encodes for the utilization of sialic acid, a substance that occurs naturally in breast milk and is artificially added to infant formulas to promote brain development in children. Therefore, the use of sialic acid by C. sakazakii as a carbon source for its growth and proliferation in the host makes it a potential health risk for those consuming these foods [60]. Additionally, the Cpa protein is linked to serum resistance and systemic spread of C. sakazakii. The cpa locus could be considered specific to C. sakazakii and C. universalis [61]. However, clinical strains of C. sakazakii of type ST8 have been identified, which are highly virulent and harbor the pESA3 plasmid yet lack the cpa gene. This suggests the likely existence of other virulence genes responsible for the disease [62] or that the cpa gene may be encoded in the chromosome, as observed in our study in two C. sakazakii ST31 strains whose plasmid is derived from C. malonaticus. The C. malonaticus plasmid pCMA2 found in the C. sakazakii ST31 strains contained the arsABCD cassette, which encodes the arsenate reductase enzyme and efflux pumps, among others. These features enable microorganisms to survive in environments contaminated with arsenic by reducing this toxin intracellularly. Additionally, cross-resistance to antibiotics and heavy metals was observed [63,64]. Furthermore, copper resistance genes were found, which allow pathogens to survive in hostile environments, considering that this metal is widely used in food processing plants as a bactericide [65].
On the other hand, genes associated with heat shock proteins, such as Hsp20, have been reported in thermotolerant strains of C. sakazakii [66,67]. Therefore, when these C. sakazakii strains isolated from PIF and PM production environments exhibit thermal resistance loci or genes, as seen in our study (C. sakazakii ST4 and ST83), they acquire greater resilience that enables them to persist in production environments and in food [68]. This is confirmed by the study of Myintzaw et al. (2026) [69], which characterized the capacity of C. sakazakii ST1, ST4, and ST8 to tolerate high temperatures (90 °C) in a commercial PIF matrix. They demonstrated that thermotolerance is associated with the sequence type of C. sakazakii, with ST4 being the most tolerant due to the presence of heat shock proteins, thermal resistance genes and fimbrial chaperones, which have also been reported in this study [69]. This suggests that recommendations such as using rehydration water at 70 °C may not be sufficient to ensure the safety of the final product [70].
In our study, strains of Cronobacter spp. (C. sakazakii and C. malonaticus) were identified from both powdered milk and surfaces and environments within a formula manufacturing plant. Additionally, antibiotic resistance and virulence genes were identified, which not only increase the risk of infections but also affect the severity and outcomes of the disease. All these aspects are essential for reviewing and improving hygiene practices in the locations where dairy formulas are produced.

5. Conclusions

The isolates of C. sakazakii and C. malonaticus characterized in this study demonstrated resistance to multiple antibiotics, as well as the presence of various antibiotic resistance genes, thermal resistance genes, and virulence factors. Therefore, powdered dairy products contaminated with C. sakazakii pose a significant risk to consumer health. Thus, strict adherence to good manufacturing practices and hygiene in plants is necessary, along with a review of the recommendations regarding the rehydration water temperature for powdered milk formulas. Additionally, multicenter studies are required due to the consumption of these infant formulas in various countries.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms14030593/s1, Supplementary Table S1: Resistance Profile.

Author Contributions

Conceptualization, J.P.-F., O.H. and S.F.; methodology, J.P.-F., B.D.-P., A.C.-C., M.I.R.-F. and W.R.; software, J.P.-F. and B.D.-P.; validation, J.P.-F., B.D.-P., O.H., M.I.R.-F. and W.R.; formal analysis, G.F. and M.T.; investigation, M.T., G.F., O.H. and J.P.-F.; resources, J.P.-F. and W.R.; data curation, J.P.-F., S.F., M.I.R.-F. and W.R.; writing—original draft preparation, J.P.-F., A.C.-C., S.F., G.F. and W.R.; writing—review and editing, J.P.-F., W.R., S.F. and M.T.; visualization, J.P.-F., B.D.-P. and M.T.; supervision, J.P.-F. and A.C.-C.; project administration, J.P.-F.; funding acquisition, J.P.-F., M.T., G.F. and W.R. All authors have read and agreed to the published version of the manuscript.

Funding

The research was supported by project RE2340221, EQ2418401 and FAPEI funds FP2516810 from the Vice Rectory of Research and Graduate Studies at the Universidad del Bío-Bío.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding authors.

Acknowledgments

We thank the Institute of Medical Microbiology and Hygiene, Austrian Agency for Health and Food Safety (AGES) for their support.

Conflicts of Interest

Author S.J. Forsythe was employed by the company foodmicrobe.com Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Microorganisms 14 00593 g001
Figure 1. Minimum spanning tree (MST) of the thirty-one Cronobacter sakazakii and three Cronobacter malonaticus isolates in this study. Isolates are represented as colored circles according to their sequence type (ST) as defined using the 7-loci MLST scheme. Black numbers on the connection lines indicate the number of allelic differences between isolates from the cgMLST scheme comprising 2831 target genes for Cronobacter sakazakii/C. malonaticus. Isolates falling under the cluster threshold of 10 alleles are marked in grey as clusters.
Figure 1. Minimum spanning tree (MST) of the thirty-one Cronobacter sakazakii and three Cronobacter malonaticus isolates in this study. Isolates are represented as colored circles according to their sequence type (ST) as defined using the 7-loci MLST scheme. Black numbers on the connection lines indicate the number of allelic differences between isolates from the cgMLST scheme comprising 2831 target genes for Cronobacter sakazakii/C. malonaticus. Isolates falling under the cluster threshold of 10 alleles are marked in grey as clusters.
Microorganisms 14 00593 g001
Microorganisms 14 00593 g002
Figure 2. Minimum spanning tree (MST) of the 34 isolates analyzed in this study, incorporating an additional 143 Cronobacter isolates from the public PubMLST database. Isolates are represented as colored circles according to their sequence types (STs) as defined using the 7-loci MLST scheme. Black numbers on the connection lines indicate the number of allelic differences between isolates based on the cgMLST scheme, which comprises 2831 target genes for Cronobacter sakazakii/C. malonaticus. Isolates within a cluster threshold of 10 alleles are marked in grey as clusters.
Figure 2. Minimum spanning tree (MST) of the 34 isolates analyzed in this study, incorporating an additional 143 Cronobacter isolates from the public PubMLST database. Isolates are represented as colored circles according to their sequence types (STs) as defined using the 7-loci MLST scheme. Black numbers on the connection lines indicate the number of allelic differences between isolates based on the cgMLST scheme, which comprises 2831 target genes for Cronobacter sakazakii/C. malonaticus. Isolates within a cluster threshold of 10 alleles are marked in grey as clusters.
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Table 1. Identification of Cronobacter spp. strains isolated from different sources by rMLST and whole genome sequencing.
Table 1. Identification of Cronobacter spp. strains isolated from different sources by rMLST and whole genome sequencing.
Sample IDSource *Collection DaterMLSTSTCCSerotype
(galF-gnd Alleles)
510413-19Milk powder ingredient2017C. sakazakii11Csak O1
510360-24Milk powder ingredient2017C. sakazakii11Csak O1
5101548-22Powdered milk2022C. sakazakii11Csak O1
510388-24Milk powder ingredient2015C. sakazakii11Csak O1
510427-19Powdered milk2017C. sakazakii11Csak O1
510292-18PIF2017C. sakazakii11Csak O1
510426-19Powdered milk2017C. sakazakii11Csak O1
510175-22Powdered milk2022C. sakazakii11ND
510415-19PIF2011C. sakazakii44Csak O4
510411-19Milk powder ingredient2018C. sakazakii1313Csak O2
510378-24PIF2015C. sakazakii1313Csak O2
510387-24Milk powder ingredient2016C. sakazakii3131Csak O2
510414-19Milk powder mix2016C. sakazakii3131Csak O2
510409-19Vacuum cleaner dust2017C. sakazakii3131Csak O2
510365-24Dairy company floor2016C. sakazakii3131Csak O2
510406-19Dairy company floor2016C. sakazakii3131Csak O2
510374-24Vacuum cleaner dust2016C. sakazakii3131Csak O2
510431-19Vacuum cleaner dust2019C. sakazakii3131Csak O2
510369-24Vacuum cleaner dust 2016C. sakazakii3131Csak O2
510371-B-24Vacuum cleaner dust 2016C. sakazakii8383Csak O7
510405-19Vacuum cleaner dust2016C. sakazakii8383Csak O7
510370-24Vacuum cleaner dust 2016C. sakazakii8383Csak O7
510402-19Vacuum cleaner dust2016C. sakazakii8383Csak O7
510408-19Vacuum cleaner dust2017C. sakazakii8383Csak O7
510368-B-24Vacuum cleaner dust2016C. sakazakii8383Csak O7
510364-24Milk powder ingredient2016C. sakazakii8383Csak O7
510407-19Milk serum2016C. sakazakii8383Csak O7
510403-19Vacuum cleaner dust 2016C. sakazakii8383Csak O7
510363-24Milk powder ingredient2016C. sakazakii8383Csak O7
510377-A-24PIF2018C. sakazakii8383Csak O7
510366-24PIF2018C. sakazakii8383Csak O7
510375-24Vacuum cleaner dust 2015C. malonaticus6060Cmal O1
510380-24Vacuum cleaner dust 2016C. malonaticus6060Cmal O1
510386-24Vacuum cleaner dust2016C. malonaticus6060Cmal O1
rMLST: Ribosomal multilocus sequence typing; ST: Sequence type; CC: clonal complex; ND: not determined. * Vacuum cleaners had been used to clean equipment in dairy environments.
Table 2. Antibiotic-resistant genes identified by AMRFinderPlus and Comprehensive Antibiotic Resistance Database (CARD) of C. sakazakii and C. malonaticus strains.
Table 2. Antibiotic-resistant genes identified by AMRFinderPlus and Comprehensive Antibiotic Resistance Database (CARD) of C. sakazakii and C. malonaticus strains.
STSpeciesAntibiotic ResistanceResistance Genes
1C. sakazakiiAM, CAZ, KF, WblaCSA-1, mcr-9.1, qacG, AcrAB-TolC with MarR mutations, adeF, marA, EF-tu, msbA
4C. sakazakiiAM, KFblaCSA-2, qacG, AcrAB-TolC with MarR mutations, adeF, hsp20, clpK, shsP, yfdx1, yfdx2, hdeD-GI, trxLHR, kefb-GI, psi-GI
13C. sakazakiiKFblaCSA-1, qacG, adeF, AcrAB-TolC with MarR mutation, marA, qacG
31C. sakazakiiAM, AMC, CAZ, KFblaCSA-1, qacG, adeF, AcrAB-TolC with MarR mutation, marA
83C. sakazakiiAMP, CAZ, KFblaCSA-1, dfrA51, qacJ, adeF, AcrAB-TolC with MarR mutation, marA, hsp20, clpK
60C. malonaticusCAZ, KFblaCMA-1, qacG, adeF, AcrAB-TolC with MarR mutation, marA
AM: ampicillin; AMC: amoxicillin–clavulanic acid; CAZ: Ceftazidime; KF: cephalothin; W: nalidixic acid.
Table 3. Putative virulence gene distribution in strains of Cronobacter sakazakii and Cronobacter malonaticus according to sequence type (ST).
Table 3. Putative virulence gene distribution in strains of Cronobacter sakazakii and Cronobacter malonaticus according to sequence type (ST).
Virulence GeneFunctionC.
sakazakii
ST1		C.
sakazakii ST4		C.
sakazakii ST13		C.
sakazakii ST31		C.
sakazakii ST83		C.
malonaticus ST60
flgBmotility++++++
flgKflagellar hook-associated protein 1+++++-
flgLflagellar hook-associated protein 3++++++
flgMnegative regulator of flagellin synthesis++++++
flgNflagella synthesis FlgN protein ++++++
flhDflagellar hook-associated protein 2++++++
fliAflagellar operon FliA++++++
fliCflagellin++++++
fliDflagellar hook-associated protein 2++++++
fliRflagellar biosynthetic FliR protein ++++++
fliTflagella FliT protein ++++++
fliZFliZ protein++++++
lolAouter membrane lipoprotein carrier protein++++++
motBchemotaxis MotA protein ++++++
sdiALuxR family transcriptional regulator++++++
slyBouter membrane lipoprotein SlyB++++++
tolCouter membrane channel protein++++++
msbAsurvival in macrophage++++++
mviNprotective immunity and colonization++++++
cpaplasminogen activator+++++-
Hhahemolysin expression modulating protein++++++
hly IIIhemolysin III++++++
ompAadhesion cell; biofilm formation++++++
ompXadhesion cell++++++
Blcouter membrane lipoprotein ++++++
cheRchemotaxis protein methyltransferase ++-+++
cheYresponse regulator of chemotaxis family ++++++
lpxAepithelial cell invasion and lipid A production++++++
nanA,K,Tutilization of exogenous sialic acid+++++-
Ficcell filamentation protein ++++++
relBantitoxin to RelE++++++
ibpAsmall heat shock protein IbpA++++++
ibpBsmall heat shock protein IbpB++++++
hspQencoding proteases heat++++++
wzzBdesiccation tolerance+-++++
+ = presence; - = absence. flgB: flagellar basal body rod protein; flgK: flagellar hook-associated protein 1; flgL: flagellar hook-associated protein 3; flgM: anti-sigma factor for FliA; flgN: Flagella synthesis protein FlgN; flhD: Flagellar transcriptional activator FlhD; fliA: flagellin-specific sigma factor; fliC: flagellin; fliD: flagellar hook-associated protein 2; fliR: flagellar biosynthetic protein FliR; fliT: flagellar biosynthesis protein T; fliZ: DNA-binding transcriptional regulator FliZ; lolA: periplasmic chaperon for lipoproteins; motB: motility protein B; sdiA: suppressor of division inhibition A; slyB: outer membrane lipoprotein SlyB; tolC: outer membrane protein TolC; msbA: ATP-dependent lipid A-core flippase; mviN: mouse virulence gene N; cpa: Cronobacter plasminogen activator; Hha: Hemolysin expression-modulating protein Hha; hly III: Hemolysin III; ompA: outer membrane protein A gene; ompX: outer membrane protein X; blc: outer membrane lipoprotein Blc; cheR: chemotaxis protein methyltransferase CheR; cheY: chemotaxis protein CheY; lpxA: Acyl-[acyl-carrier-protein]--UDP-N-acetylglucosamine O-acyltransferase: nanA,K,T: nanA (N-acetylneuraminate lyase), nanK (N-acetylmannosamine kinase), and nanT (sialic acid transporter); fic: filamentation induced by cAMP-family toxins; relB: antitoxin coding gene; ibpA: inclusion body-binding protein A (sHsp); ibpB: inclusion body-binding protein B (sHsp); hspQ: heat shock protein hspQ; wzzB: polisoprenol-linked O-antigen transporter.
Table 4. Plasmids and mobile genetic elements of Cronobacter sakazakii and Cronobacter malonaticus strains.
Table 4. Plasmids and mobile genetic elements of Cronobacter sakazakii and Cronobacter malonaticus strains.
ID StrainSpeciesSTPlasmidAccession NumberRep TypesSize (Kb)Mobile Genetic Elements
510413-19C. sakazakii1p131.0_510413-9CP000785IncFIB, rep_cluster_574130,955NDT
p23.1_510413-19FN543095IncFIB, IncFII23,137
510360-24C. sakazakii1p130.2_510360-24CP000785IncFIB, rep_cluster_574130,206NDT
p23.1_610360-24FN543095IncFIB, IncFII23,087
5101548-22C. sakazakii1p131.7_5101548_22CP000785InFIB, rep_cluster_574131,696ISKpn74, IS903, ISPpu12, ISEsa2, ISEsa1, IS5075, ISSen9
p18.1_5101548-22CP035364ND18,088
p3.8_5101548-22KM373703rep_cluster_23353845
510388-24C. sakazakii1p134.2_510388-24CP027110InFIB, rep_cluster_574134,192NDT
p23.1_510388-24FN543095IncFIB, IncFII23,087
510427-19C. sakazakii1p130.7_510427-19CP000785InFIB, rep_cluster_574130,682NDT
p23.1_510427-19FN543095IncFIB, IncFII23,137
510292-18C. sakazakii1p131.4_510292-18CN000785InFIB, rep_cluster_574131,422cn_1030_ISSen9, ISSen9, ISPpu12, IS903, IS26, ISKpn74, IS5075, ISEsasa1, ISEsa2
p14.6_510292-18CP035346ND14,632
p11.9_510292-18CP035364ND11,948
p4.0_510292-18KM373703rep_cluster_23353959
510426-19C. sakazakii1p130.7_510426-19CP000785InFIB, rep_cluster_574130,696NDT
p23.1_510426-19FSN43095IncFIB, IncFII23,137
510175-22C. sakazakii1p130.2_510175-22CP000785InFIB, rep_cluster_574130,197ISEsa2, ISEsa1, IS102, IS903, IS5075, ISSen9, ISPpu12, IS26, cn_861_ISSen9
510415-19C. sakazakii4p49.8_510415-19CP012255ND49,763ISEhe3, ISEsa2
510411-19C. sakazakii13p114.7_510411-19CP004092IncFIB, rep_cluster574114,746ISSen9
p102.7_510411-19CP012254rep_cluster_763102,689
p43.9_510411-19CP013942IncFIB43,934
510378-24C. sakazakii13p111.9_510378-24CP004092IncFIB, rep_cluster574111,870ISSen9
p84.2_510378-24CP012254rep_cluster_76384,167
p42.5_510378-24CP013942IncFIB42,472
510387-24C. sakazakii31p116.0_510387-24CP004092IncFIB, rep_cluster574116,026ISEsa1
p55.8_510387-24CP013942
(pCMA2)		ND55,836
510414-19C. sakazakii31p55.9_510414-19CP013942
(pCMA2)		ND55,886ISEsa1
p1.2_510414-19LT592160
(WHO_U)		ND1219
510409-19C. sakazakii31p55.9_510409-19CP013942
(pCMA2)		ND55,886ISEsa1
p1.2_510409-19CP034021
(FQ48)		ND1201
510365-24C. sakazakii31p55.8_510365-24CP013942
(pCMA2)		ND55,836ISEsa1
510406-19C. sakazakii31p55.9_510406-19CP013942
(pCMA2)		ND55,886ISEsa1
p1.1_510406-19CP034021
(FQ48)		ND1091
510374-24C. sakazakii31p114.6_510374-24CP004092IncFIB, rep_cluster574114,631IS481, ISEsa1
p34.7_510374-24CP011050ND34,663
p16.4_510374-24CP035364ND16,380
510431-19C. sakazakii31p55.9_510431-19CP013942
(pCMA2)		ND55,886ISEsa1
510369-24C. sakazakii31p55.8_510369-24CP013942
(pCMA2)		ND55,836ISEsa1
510371-24C. sakazakii83p118.3_510371-24CP004092IncFIB, rep_cluster574118,275
510405-19C. sakazakii83p118.3_510405-19CP004092IncFIB, rep_cluster574118,325cn_10824_ISSen9, ISSen9
510370-24C. sakazakii83p118.2_510370-24CP004092IncFIB, rep_cluster574118,177ISSen9
510402-19C. sakazakii83p118.3_510402-19CP004092IncFIB, rep_cluster574118,325cn_10824_ISSen9, ISSen9
510408-19C. sakazakii83p118.3_510408-19CP004092IncFIB, rep_cluster574118,325cn_10824_ISSen9, ISSen9
510368-24C. sakazakii83p118.2_510368_24CP004092IncFIB, rep_cluster574118,223cn_10824_ISSen9, ISSen9, IS481
510364-24C. sakazakii83p118.2_510364-24CP004092IncFIB, rep_cluster574118,175cn_10824_ISSen9, ISEsa2, ISEsa1, IS481
p92.7_510364-24CP012254 (dfrA51)rep_cluster_76392,736
510407-19C. sakazakii83p118.3_510407-19CP004092IncFIB, rep_cluster574118,325ISEsa1, ISEsa2, ISSen9
p92.8_510407-19CP012254 (dfrA51)rep_cluster_76392,821
510403-19C. sakazakii83p118.3_510403-19CP004092IncFIB, rep_cluster574118,325ISSen9
510363-24C. sakazakii83p118.2_510363-24CP004092IncFIB, rep_cluster574118,196cn_10824_ISSen9, ISEsa1, ISEsa2
p99.6_510363-24CP012254 (dfrA51)rep_cluster_76399,571
510377-24C. sakazakii83p118.2_510377-24CP004092IncFIB, rep_cluster574118,158cn_10824_ISSen9, ISSen9
510366-24C. sakazakii83p118.3_510366-24CP004092IncFIB, rep_cluster574118,275ISSen9
510375-24C. malonaticus60p128.5_510375-24CP013941
(pCMA1)		IncFIB, rep_cluster574124,494NDT
p42.2_510375-24CP035346ND42,223
510380-24C. malonaticus60p113.4_510380-24CP013941IncFIB, rep_cluster574113,363NDT
p17.0_510380-24CP035364ND16,965
p4.7_510380-24CP035346ND4691
510386-24C. malonaticus60p135.2_510386-24CP013941IncFIB, rep_cluster574135,244Tn6024
ND: not determined; NDT: not detected.
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Parra-Flores, J.; Daza-Prieto, B.; Troncoso, M.; Figueroa, G.; Reyes-Fuentes, M.I.; Holy, O.; Cruz-Córdova, A.; Ruppitsch, W.; Forsythe, S. Genotypic and Phenotypic Characterization of Cronobacter spp. Strains Isolated from Powdered Milk Formulas and Dairy Production Environments. Microorganisms 2026, 14, 593. https://doi.org/10.3390/microorganisms14030593

AMA Style

Parra-Flores J, Daza-Prieto B, Troncoso M, Figueroa G, Reyes-Fuentes MI, Holy O, Cruz-Córdova A, Ruppitsch W, Forsythe S. Genotypic and Phenotypic Characterization of Cronobacter spp. Strains Isolated from Powdered Milk Formulas and Dairy Production Environments. Microorganisms. 2026; 14(3):593. https://doi.org/10.3390/microorganisms14030593

Chicago/Turabian Style

Parra-Flores, Julio, Beatriz Daza-Prieto, Miriam Troncoso, Guillermo Figueroa, Maria I. Reyes-Fuentes, Ondrej Holy, Ariadnna Cruz-Córdova, Werner Ruppitsch, and Stephen Forsythe. 2026. "Genotypic and Phenotypic Characterization of Cronobacter spp. Strains Isolated from Powdered Milk Formulas and Dairy Production Environments" Microorganisms 14, no. 3: 593. https://doi.org/10.3390/microorganisms14030593

APA Style

Parra-Flores, J., Daza-Prieto, B., Troncoso, M., Figueroa, G., Reyes-Fuentes, M. I., Holy, O., Cruz-Córdova, A., Ruppitsch, W., & Forsythe, S. (2026). Genotypic and Phenotypic Characterization of Cronobacter spp. Strains Isolated from Powdered Milk Formulas and Dairy Production Environments. Microorganisms, 14(3), 593. https://doi.org/10.3390/microorganisms14030593

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