Keywords
Salmonella, Infantis, monophasic S. Typhimurium, Derby, risk factors, pork, antibiotic resistance, Ecuador, Beta-lactamase
This article is included in the Antimicrobial Resistance collection.
Background: Salmonella enterica are bacteria that include more than 2,500 serovars. Most of these serovars have been linked to human foodborne illnesses, mainly related to poultry and pigs. Thus, these animals are considered the reservoirs of many Salmonella serovars and strains related to antibiotic resistance. This study aimed to determine the prevalence, serovars, β-lactam resistance genes, and the risk factors associated with Salmonella enterica in pork commercialized in open markets of Quito city.
Methods: For this, 165 pork meat samples were taken from municipal markets in three areas in the city. These samples were microbiologically processed following the ISO 6579-2014 standardized method. The polymerase chain reaction (PCR) test was used to identify Salmonella serotyping and resistance genes. Strains not identified by PCR were typed by the Kauffman White Le Minor scheme. A multivariate analysis was performed to identify risk factors associated with the presence of the microorganism.
Results: Salmonella prevalence in pork was 9.1%. Identified serovars were 4, [5], 12: i:- (53.3%), Infantis (33.3%), and Derby (13.4%). Furthermore, the β-lactam resistance genes bla CTX-M-65 could be identified in three S. infantis isolates. Multivariate analysis showed that temperature (above 8°C) and cutting surfaces (wood) presented significant association values.
Conclusions: This research represents the first report of several epidemiological aspects of Salmonella in pork in Ecuador.
Salmonella, Infantis, monophasic S. Typhimurium, Derby, risk factors, pork, antibiotic resistance, Ecuador, Beta-lactamase
The consumption of undercooked food contaminated with non-typhoid Salmonella is one of the most important causes of human gastroenteritis worldwide. Foodborne diarrheal disease agents also caused 230,000 of the 420,000 deaths due to foodborne hazards in 2010. Of these, non-typhoidal S. enterica accounted for 59,000 deaths.1
Contaminated food of animal origin is an important source of infection and spread of Salmonella.2 This contamination can occur at any stage in the production chain.3,4 Animals such as pigs can be infected or colonized by different Salmonella serovars, developing a disease or becoming a reservoir of this microorganism, excreting and spreading it.5 Contaminated pork plays an important role as one of the main sources of human infection with Salmonella in several countries.6–8 It has to be considered that cross-contamination of food with Salmonella may occur by kitchen instruments, improper hygienic handling, etc.9
Different Salmonella serovars can be implicated in a large number of human infections. Therefore, serovar identification is essential in the epidemiological surveillance of this pathogen.10 Several serovars have been reported in pork and pig production, associated with different geographical localization. Thus, S. Derby and S. Typhimurium were the most prevalent serovars in Europe, Oceania, Asia, and North America,11 while S. Derby has been reported as the most pervasive serovar in pork in Latin America.12
Besides, antimicrobial resistance has posed a critical problem for human and animal health in the last 20 years.13 The overuse of antibiotics in these two areas has contributed to the emergence of antibiotic resistance in foodborne bacteria.14 Thus, several studies have reported multi-resistant Salmonella strains (MDR) in which Salmonella isolates producing extended-spectrum beta-lactamase enzymes (ESBL) are common findings.15–17 Although the importance of non-typhoid Salmonella and its antimicrobial resistance is evident in food production, epidemiological information about the presence of this bacteria in pork is still limited in Ecuador. Therefore, this research aimed to estimate the prevalence of Salmonella serovars, antimicrobial resistance, and risk factors associated with Salmonella enterica in pork meat sold in markets in Quito-Ecuador.
A total of 165 pork samples were collected in 11 traditional markets in three areas of Quito. Samples of 100 g of meat from 25 butcheries were collected between March and May 2021. Each sample was collected in sterile plastic flasks and transported to the laboratory in an icebox at 2–8°C.
An epidemiological questionnaire to estimate the risk factors for pork contamination was developed and applied to the butchery employees (Table 1).
Salmonella was isolated and identified according to the ISO 6579: 2017 standardized method.18 Briefly, 25 g of pork and 225 ml of Buffered Peptone Water – BPW (BD Difco 218105 – USA) were placed in a sterile zip bag and homogenized to obtain a 1:10 suspension. The combination was incubated at 37°C ± 1°C for 18 h ± 2 h. After incubation, 0.1 ml of the pre-enriched culture as 1–3 equally spaced spots on the surface of Modified Semisolid Rappaport Vassidialis - MSRV plates (BD Difco 218681 – USA) and incubated at 41.5°C for 24 h ± 3 h. A loop of 1 μl was taken inside the edge of the opaque growth in MSRV and plated in the Xylose Lysine, Deoxycholate – XLD agar (BD Difco 278850 – USA) and incubated at 37°C for 24 ± 3 h. Typical colonies of Salmonella spp. in XLD (black center with a slightly transparent reddish area) were then identified by biochemical tests. These tests included Triple Sugar Agar – TSI (BD Difco 226540 – USA), Lysine Iron Agar – LIA (BD Difco 284920 – USA), Simmons Citrate BD (Difco 211620 – USA), and Urea broth (BD Difco 227210 – USA). All the positive isolates were conserved at -70°C in a Brain Head Infusion medium (BD Difco 241830 – USA) with glycerol (Fisher Chemical G33500 – USA).
DNA extraction was performed using the boiling method. Briefly, Salmonella isolates were plated in XLD agar and incubated at 37±1°C for 24 hours. A typical Salmonella colony was transferred to a sterile Eppendorf tube containing 300 μl of 1X TE buffer (Tris base Promega H5131 – USA + EDTA Promega V4231 – USA) and lysed at 95°C for 20 minutes. The supernatant was collected and stored at -20°C.
Serovars Infantis, Enteritidis, Typhimurium, and its monophasic variant (1,4, [5], 12: i:-) were identified by polymerase chain reaction (PCR), using the invA gene as housekeeping control. Primers and annealing temperature for these PCR protocols are described in Table 2. GoTaq® Flexi DNA Polymerase (Promega M8291 – USA), nuclease-Free Water (Promega P1197 – USA), and dNTP Mix (Promega U1515 – USA) were used as PCR reagents on a SimpliAmp™ Thermal Cycler (Thermo Fisher A24811 – USA) to perform all reactions. According to the Kauffmann-White scheme, Salmonella isolates not typed by PCR were serotyped using the agglutination method.19 Briefly, each strain was recovered in Nutrient Agar (BD Difco 213000 – USA) and incubated for 16 to 20 h at 37°C ± 2. Then, the agglutination test was performed, confronting the bacterial suspension to specific antisera in a multi-cup plate. Positive agglutination is visualized by aggregate formation (more or less cottony appearance) exerting a moderate circular agitation of the plaque. Determination of somatic antigen (O antigen) requires the primary test of polyvalent sera (OMA, OMB, OMC, OMD, OME, OMF, and OMG) followed by monovalent ones (Remel™ Agglutinating Sera – UK). To determine flagellar antigen (H antigen), agglutination with one of the mixing sera for orientation (HMA, HMB, HMC) or the versatile serum H1 was observed (Remel™ Agglutinating Sera – UK). The determination of the flagellar antigen is obtained by successive elimination until detection of agglutination with one of the specific sera included in the mixing serum (search for major H then minor H). The combination of somatic antigen and flagellar antigen defines the serotype of the strain under study. The Kauffmann–White scheme gathers the groups and the corresponding sera.
Target gene | Primers | Sequence | Amplicons size (pb) | Annealing Tem. | Ref. |
---|---|---|---|---|---|
Salmonella spp. | InvAF | 5′-AAACCTAAAACCAGCAAAGG-3′ | 605 | 58 | 20 |
InvAR | 5′-TGTACCGTGGCATGTCTGAG-3′ | ||||
S. Infantis | IMP1-F | 5′-GGTCATTGTCGGAAACCTGC-3′ | 95 | 60 | 20 |
IMP1-R | 5′-ACATTCCCCCTTCCACTGCC-3′ | ||||
IMP2-F | 5′-CGCGAAGAAGTGCATAAACC-3′ | 198 | 60 | ||
IMP2-R | 5′-CGCCACTTTCGTTATCTGAG-3′ | ||||
IMP3-F | 5′-ACCTACTACTATCCCTGATG-3′ | 304 | 60 | ||
IMP3-R | 5′-GCGAATTTTGCTACTTGAAG-3′ | ||||
S. Enteritidis | EMP1-F | 5′-AATACAGCCTCAACCAGCTA-3′ | 101 | 60 | 20 |
EMP1-R | 5′-ATTGGTTCACCCGTTGCAAT-3′ | ||||
EMP2-F | 5′-AGATAAGCCCTCCCTGCTTA-3 | 203 | 60 | ||
EMP2-R | 5′-CCCTCCTTTCACTGCAAGTC-3′ | ||||
EMP3-F | 5′-CAAAAGCGACAAATAATCTG-3′ | 299 | 60 | ||
EMP3-R | 5′-TTTCTCCGCCTGTTTTCGTT-3′ | ||||
S. Typhimurium | TMP1-F | 5′-ATGCGGGTATGACAAACCCT-3′ | 94 | 60 | 20 |
TMP1-R | 5′-TTAGCCCCATTTGGACCTTT-3′ | ||||
TMP2-F | 5′-CAGACCAGGTAAGTTTCTGG-3′ | 196 | 60 | ||
TMP2-R | 5′-CGCATATTTGGTGCAGAAAT-3′ | ||||
TMP3-F | 5′-TTTACCTCAATGGCGGAACC-3′ | 303 | 60 | ||
TMP3-R | 5′-CCCAAAAGCTGGGTTAGCAA-3′ | ||||
S. Typhimurium Monophasic | MDH F | 5′-TGCCAACGGAAGTTGAAGTG-3′ | 260 | 58 | 21 |
MDH R | 5′-CGCATTCCACCACGCCCTTC-3′ | 550 | |||
fliC F | 5′-ATAGCCATCTTTACCAGTTCC-3′ | 1389 | 58 | ||
fliC R | 5′-ACTCAGGCTTCCCGTAACGC-3′ | ||||
fljB F | 5′-CAACAACAACCTGCAGCGTGTGCG-3′ | 964 | 64 | ||
fljB R | 5′-GCCATATTTCAGCCTCTCGCCCG-3′ | ||||
FFLiB | 5′-CTGGCGACGATCTGTCGATG-3′ | 964 | 64 | ||
RFLIA | 5′-GCGGTATACAGTGAATTCAC-3′ |
Identification of antimicrobial resistance Salmonella isolates was carried out using the Kirby-Bauer disk diffusion method according to the Clinical and Laboratory Standards Institute guidelines.22 Briefly, from a culture of 18 to 24 hours on Nutrient Agar (BD Difco 213000 – USA), several colonies were taken with a handle and inoculated in physiological serum to reach a turbidity equivalent to 0.5 of the McFarland scale. The previous suspension was seeded into the Müller-Hinton plates (BD Difco 275730 – USA) using a swab without leaving any free area. After, antibiotic discs were placed equidistantly using sterile tweezers. The plates were incubated at 37°C for 16–18 hours and the diameter of the inhibition halos was measured. The clinical cut-offs of M100 CLSI standards (CLSI, 2022) were used as references integrating intermedia values as resistant. The antibiotics used were: Ampicillin (Oxoid, USA; 10 μg), Cefoxitin (Oxoid CT0003B – USA; 30 μg), Cefotaxime (BD 231606 – USA; 30 μg), Ceftazidime (BD 231632 – USA; 30 μg), Amoxicillin + clavulanic acid (Oxoid CT0223B – USA; 30 μg), Ertapenem (BD 232175 – USA 10 μg), Tetracycline (Oxoid CT0054B – USA; 30 μg), Tigecycline (Oxoid CT1841B – USA; 15 μg), Chloramphenicol (Oxoid CT0013B – USA; 30 μg), Ciprofloxacin (Oxoid CT0425B – USA; 5 μg), Sulfamethoxazole + Trimethoprim (Oxoid CT0052B – USA; 30 μg), Gentamicin (Oxoid CT0024B – USA; 10 μg), Amikacin (Oxoid CT0107B – USA; 30 μg), Nitrofurantoin (Oxoid CT0036B – USA; 300 μg), Fosfomycin (Oxoid CT0758B – USA; 200 μg).
PCR further studied isolates with phenotypic resistance to beta-lactams to detect blaCTX-M, blaTEM, blaCMY, and blaSHV genes. Additionally, the blaCTX-M subgroups were identified for later sequencing. Primers and annealing temperature for these PCR protocols are described in Table 3. PCR reagents and equipment used for serotyping by PCR were used in this step.
Target gene | Primers | Sequence | Amplicon size (pb) | Annealing Tem. | Ref. |
---|---|---|---|---|---|
blaCTX-M General | CTX-MU1 | 5′-ATG TGC AGY ACC AGT AAR GTK ATG GC | 592 | 60 | 23,24 |
CTX-MU2 | 5′-TGG GTR AAR TAR GTS ACC AGA AYS AGC GG | ||||
blaSHV | SHVOS5 | 5′-TTA TCT CCC TGT TAG CCA CC | 795 | 60 | 24,25 |
SHVOS6 | 5′-GAT TTG CTG ATT TCG CTC GG | ||||
blaTEM | TEM front P1 | 5′-GCG GAA CCC CTA TTT G | 964 | 55 | 24,26 |
TEM-C-R-ny | 5′-ACC AAT GCT TAA TCA GTG AG | ||||
blaCMY | Queprev cmy-2 sart | 5′-ATG ATG AAA AAA TCG TTA TGC TGC | 1117 | 60 | 23,24 |
cmy-group2-R | 5′-GCT TTT CAA GAA TGC GCC AGG | ||||
blaCTX-M1 Group | CTX-1-SEQ-F | 5′-CCC ATG GTT AAA AAA TCA CTG C | 1000 | 60 | 27,28 |
CTX-1-SEQ-R | 5′-CAG CGC TTT TGC CGT CTA AG | ||||
blaCTX-M2 Group | CTX-M-2F | 5′-ATG ATG ACT CAG AGC ATT CG | 1179 | 60 | 29,30 |
CTX-M-2R | 5′-TGG GTT ACG ATT TTC GCC GC | ||||
blaCTX-M8 Group | CTX-Mgp8-F | 5′-TGA TGA GAC ATC GCG TTA AG | 871 | 55 | 31,32 |
CTX-Mgp8-R | 5′-TAA CCG TCG GTG ACG ATT TT | ||||
blaCTX-M9 Group | CTX-M-9-1F | 5′-TGG TGA CAA AGA GAG TGC AAC G | 874 | 60 | 33,34 |
CTX-M-9-R | 5′-TCA CAG CCC TTC GGC GAT | ||||
CTX-M-9_792_F | 5′-CTA TTT TAC CCA GCC GCA AC | 238 | 60 | ||
CTX-M-9_1029_r | 5′-GTT ATG GAG CCA CGG TTG AT |
All amplified PCR products were exanimated by electrophoresis in a 1% Agarose, LE, Analytical Grade (Promega V3125 – USA) on 0.5X TAE Buffer (Promega V4281 – USA) and stained with SYBR™ Safe DNA Gel Stain (Invitrogen S33102 – USA). Amplicons’ size was estimated by 100 bp Plus DNA Ladder (Bioneer D-1035 – Korea). Gel casting and electrophoresis were performed in a horizontal electrophoresis system (CBS Scientific HSU-014, EPS-300X – USA). Specific bands were visualized on ENDURO™ UV Transilluminator (Labnet U1001 – USA). Raw and edited images of all PCR products are available in the Underlying data.35 All betalactamese PCR products were sent for sequencing to Macrogen Inc. (Seul-South Korea), and obtained sequences were aligned against reference sequences by the web tool ResFinder 4.0.36
The free software R Studio (Version 1.4.1717) was used for statistical analysis. Descriptive statistics were used to facilitate the calculation of frequencies observed for each variable that would be used in the univariate analysis. For the bivariate analysis, we included variables of interest regarding the prevalence of Salmonella and then performed the chi-squared test and Fisher’s exact test. A univariate and multivariate logistic regression study was used to obtain odds ratios and 95% confidence intervals (CI). The level of significance was determined as p < 0.05.
The prevalence of Salmonella was 9.1% (15/165; CI95% = 5.6-14.5).
The PCR technique allowed the identification of five S. Infantis and eight monophasic variants of S. Typhimurium (1,4,[5],12:i:-) isolates. Additionally, two S. Derby isolates were characterized by the Kauffman White scheme.
Four antimicrobial resistance profiles were found in 11 isolates (Table 4). Three and seven isolates of S. Infantis and S. 1,4,[5],12:i:- presented multi-resistant patterns, respectively. The two S. Derby and two S. Infantis isolates showed to be susceptible to all tested antibiotics.
N° of antibiotic families | Resistance patterns | S. Infantis | S. 4,[5],12:i:- | Total |
---|---|---|---|---|
7 | SAQBTFN | 3 | - | 3 |
4 | QBTF | - | 1 | 1 |
3 | QTF | - | 6 | 6 |
2 | TF | - | 1 | 1 |
Total | 3 | 8 | 11 |
The highest resistance levels were present in three S. Infantis isolates with resistance phenotypes for 11 antibiotics. Additionally, all S. 4,[5],12:i:- isolates showed resistance to tetracycline and chloramphenicol (Table 5). The blaCTX-M-65 gene was identified in all the S. Infantis isolates resistant to cefotaxime. On the other hand, none of the studied β-lactamase genes were identified in S. 4,[5],12:i:- isolates resistant to β-lactams.
In bivariate analysis, the variable “Meat cutting surface wood” showed a significant association with Salmonella in pork (p = 0.0349). Multiple logistic regression analysis determined that the variable “Meat preservation temperature” (higher than 8°C) also showed significant values (p = 0.031) (Table 6).
Variables | Standard error (SE) | P value | Odds Ratio | I.C. 95% | |
---|---|---|---|---|---|
Meat preservation temperature (>8°C) | 0.1 | 0.03171 * | 1.15 | 1.02 | 1.33 |
Meat cutting surface (wood) | 1.6 | 0.01107 * | 59.31 | 3.15 | 2 829.14 |
Full responses for the survey, metadata, and susceptibility test reports are available in the Underlying data.77
This research aimed to determine the prevalence of Salmonella enterica in pork meat in public markets of Quito, Ecuador. Identification of Salmonella serovars, antimicrobial resistance profiles, and risk factors associated with the presence of the microorganism were included in this work.
In the present study, the prevalence of Salmonella in pork was 9.1% (95% CI = 5.6 – 14.5). Another study in Quito reported a higher Salmonella occurrence in pork in 2016.37 This decrease in Salmonella occurrence could indicate that some interventions for improving market sanitary conditions could have been implemented. Several studies around the world have reported different levels of Salmonella in pork. In Europe, the prevalence of Salmonella in pork was 0.64% in 2019 (n=20 613),38 while in Asian countries, the prevalence of Salmonella varies from 14.1% to 57.74%.3,39,40 Overall, variations of Salmonella prevalence within countries or among regions of the world could be associated with the implementation of specific technologies in meat treatment or the existence of specific regulations that could be put in place in Ecuadorian markets.41
Salmonella Typhimurium monophasic variant (S. 1,4,[5],12:i:-) was the predominant serovar in this study (53.4%), becoming the first report of this serovar in pig meat in Ecuador.
It has been mentioned that isolation of S. 1,4,[5],12:i:- has increased worldwide during the last 20 years.42 Pigs are ranked as the main reservoir of this serovar in the European Union.43 Furthermore, S. 1,4,[5],12:i:- has become one of the most common variants of Salmonella in pork production,44,45 being considered an emerging serovar in many countries.45 The present study demonstrates that this serovar may be relevant in the epidemiology of Salmonella linked to food contamination in Ecuador.
Concerning S. Infantis, our results differ from those reported by Mejia et al.,37 who showed this serovar as the most isolated one in pig meat samples in retail markets in Ecuador. Since the later study samples were taken from supermarkets, this difference could be determined by the pig meat supply chain. In this regard, pork in traditional markets comes from many small pig production farms. On the other hand, pork from supermarkets comes from a few companies with intensive industrial production. These facts could explain the differences between studies. Moreover, S. Infantis has been reported as one of the most frequent serovars in industrial poultry production in many countries,46–48 indicating that this serovar is well adapted to industrial conditions.49,50 Since S. Infantis has been reported to cause human diseases,51 the epidemiology of this serotype in pork and its relationship with other meat products (e.g., poultry) should be further investigated. Similar considerations must be made for other serovars like S. Derby because the surveillance of Salmonella serovars shapes the epidemiology of these pathogens in foodstuffs.
Antimicrobial resistance (AMR) of Salmonella isolates from pork and pig production has been reported in other countries at regional and global levels showing multi-resistant phenotypes.52,53 However, AMR varies according to Salmonella serotypes. In this study, S. Infantis was the least susceptible serotype with resistance patterns of up to seven antimicrobial families. In the same way, S. Infantis isolates with high rates of AMR have been reported in the poultry industry of Ecuador,50,54 which has been linked to the overuse of antimicrobials in this sector.55 However, multi-resistant S. Infantis has been reported worldwide, demonstrating that multi-resistance is an important feature of this serovar, possibly linked to specific plasmids. Thus, the capacity of S. Infantis to acquire genetic determinants of resistance has been associated with the “plasmid of emerging S. enterica Infantis” (pESI) and related plasmids (pESI-like plasmids).56 The blaCTX-M-65 gene identified in three S. Infantis isolates has been closely related to this megaplasmid in local studies50,54,57,58 and globally.59–61
The same can be said for S. 4, [5],12:i:- whose majority of isolates showed multi-resistant patterns. Moreover, this serotype has been reported in several countries, showing that S. 4,[5],12:i:- is specially adapted to the pig production sector and could represent a public health concern.62–64
High levels of AMR Salmonella have been related to the incorrect use of antibiotics in animal production. The administration of cephalosporins and other beta-lactams in pig production has seen to increase in many countries, like France,65 India,66 and Brazil.67 Moreover, in Ecuador, the misuse of antibiotics in animal production systems has been reported.68,69 This aspect has particular relevance since beta-lactams are widely used in animal husbandry.70,71 It must also be considered that ESBL genes could determine failure in treating diseased people with complicated infections caused by Salmonella and other bacteria to which horizontal transference of genes may occur.72 In the present work, we found that meat preservation above 8°C (OR = 1.15) and wooden surfaces for meat cutting (OR = 59.31) were risk factors for Salmonella in pork meat. This is unsurprising since the lack of an appropriate cool chain allows the growth of contaminating microorganisms and pathogens in food products.73 Besides, the porosity of wood in cutting tables will enable bacteria to grow in the presence of humidity, promoting cross-contamination of foodstuffs with Salmonella.74–76 Whether Salmonella isolates recuperated in our study originated in the primary sector or are the result of such cross-contamination events should be further studied, targeting samples from pig production farms and conducting analysis of genomic clonality.
In conclusion, pork expended in traditional markets of Quito showed contamination of Salmonella enterica, whose main serovars are of public health concern. Beta-lactam-resistance in Salmonella isolates is also remarkable, which could become a risk for pork consumers.
Figshare: PCR images of Prevalence, serovars, and risk factors associated with the presence of Salmonella in pork sold in public markets in Quito, Ecuador. https://doi.org/10.6084/m9.figshare.24195030.v1. 35
This project contains the following underlying data:
• CTX-M-9 Edited.jpg
• CTX-M-9 RAW.jpeg
• fljA-B-C edited.jpg
• fljA-B-C raw.jpeg
• S_typhimurium_edited.jpg
• S_typhimurium_Raw.jpeg
Figshare: Pork_database_risk_factors.xlsx. https://doi.org/10.6084/m9.figshare.23699505.v1. 77
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
We acknowledge to Health Services of Quito Municipality for the assistance and collaboration provided in the markets for the collection of samples. We also are grateful for the help provided by Laboratorio de Resistencia Antimicrobiana del Instituto Nacional de Investigación en Salud Pública - INSPI “Dr. Leopoldo Izquieta Perez” for their collaboration in the identification of the Salmonella Derby serovar. We also acknowledge Dr. Pamela Martinez for her help in the statistical analysis.
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Molecular epidemiology of Salmonella, Acinetobacter and Mycobacterium tuberculosis
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Microbiology
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