Canadian Journal of Microbiology

The use of Trichoderma in agriculture as both a biocontrol agent and biofertilizer hinges on its ability to colonize the rhizosphere, promote plant growth, endure adverse environments, compete for space and nutrients, and produce enzymes and secondary metabolites to mycoparasitize and infect other fungus. In humans, Trichoderma exhibits the capacity to infect various bodily tissues, leading to Trichodermosis. There has been a notable increase in cases ranging from superficial to fatal, invasive, and disseminated infections, particularly among immunocompromised individuals. Trichoderma species employ diverse strategies to colonize and survive in various environments, infecting phytopathogens; however, the mechanisms and virulence factors contributing to human infections remain poorly understood. In this mini review, we provide a brief overview and contextualization of the virulence mechanisms employed by Trichoderma in parasitizing other fungi, as well as those implicated in modulating plant immunity and inducing human infections. Furthermore, we discuss the similarity of these virulence factors capable of modulating the mammalian immune system and their potential implications for human infection.

Fungal pathogens significantly impact human health, agriculture, and ecosystems, with infections leading to high morbidity and mortality, especially among immunocompromised individuals. The increasing prevalence of antifungal resistance (AFR) exacerbates these challenges, limiting the effectiveness of current treatments. Identifying robust biomarkers associated AFR could accelerate targeted diagnosis, shorten decision time for treatment strategies, and improve patient health. This paper examines traditional avenues of AFR biomarker detection, contrasting them with the increasingly effective role of machine learning (ML) in advancing diagnostic and therapeutic strategies. The integration of ML with technologies such as mass spectrometry, molecular dynamics, and various omics-based approaches, often result in the discovery of diverse and novel resistance biomarkers. ML's capability to analyse complex data patterns enhances the identification of resistance biomarkers and potential drug targets, offering innovative solutions to AFR management. This paper highlights the importance of interdisciplinary approaches and continued innovation in leveraging ML to combat AFR, aiming for more effective and targeted treatments for fungal infections.

Fusarium head blight (FHB) is a devastating fungal disease caused by Fusarium graminearum, which affects barley (Hordeum vulgare L.) and other small cereal grains. Fungal endophytes are microorganisms that reside inside tissues and considered that they may have been involved in various roles of the plants. This study involved the comparison of fungal endophytes between “non-infected/clean” and “FHB-infected” barley genotypes in various tissues collected at different plant developmental stages and were grown under different conditions (i.e., greenhouse, research field, and FHB-field nursery). We hypothesized that fungal endophytes diversity and abundance may differ between plant tissues in various barley genotypes that were non-infected and FHB-infected. The 18S-internal transcribed spacer sequencing analysis revealed a greater number of fungal operational taxonomic units (OTUs) and endophyte species in FHB-infected barley compared to clean barley. A one-way ANOVA and Tukey's pairwise comparison test (p ≤ 0.05) were performed to test significant differences. Higher seed endophyte diversity was found in FHB-infected (120 OTUs) compared to non-infected (113 OTUs) harvested in 2021. The increase in diversity of endophytes that contributes to different roles in plant protection and defense, such as biocontrol agents, may prevent the growth of Fusarium species and decrease FHB-infection.

Rapidly developing microbial resistance to existing antimicrobials poses a growing threat to public health and global food security. Current chemical-based treatments target cells by inhibiting growth or metabolic function, but their effectiveness is diminishing. To address the growing antimicrobial resistance crisis, there is an urgent need for innovative therapies. Conjugative plasmids, a natural mechanism of horizontal gene transfer in bacteria, have been repurposed to deliver toxic genetic cargo to recipient cells, showing promise as next-generation antimicrobial agents. However, the ecological risks posed by unintended gene transfer require robust biocontainment strategies. In this study, we developed inducible conjugative plasmids to solve these challenges. Utilizing an arabinose-inducible promoter, we evaluated 13 plasmids with single essential gene deletions, identifying trbC and trbF as strong candidates for stringent regulation. These plasmids demonstrated inducibility in both cis and trans configurations, with induction resulting in up to a 5-log increase in conjugation efficiency compared to uninduced conditions. Although challenges such as reduced conjugation efficiency and promoter leakiness persist, this work establishes a foundation for the controlled transfer of plasmids, paving the way for safer and more effective antimicrobial technologies.

This study employed Illumina HiSeq high-throughput sequencing technology to analyze the V4–V5 regions of myxobacterial 16S rRNA in rhizosphere and nonrhizosphere soils of Haloxylon ammodendron in the saline-alkaline wetland of Ebinur Lake, with the aim of investigating the community structure and diversity of myxobacteria. Results indicated that myxobacterial communities in rhizosphere soils exhibited greater diversity and richness compared to nonrhizosphere soils. Soil physicochemical properties, particularly moisture content, were identified as key environmental factors influencing myxobacterial diversity. The halotolerant genus Haliangium was found to be predominant under saline-alkaline conditions. Additionally, myxobacteria demonstrated distinct ecological specificity and environmental adaptability between rhizosphere and nonrhizosphere soils. For example, the genus Enhygromyxa exhibited a negative correlation with soil moisture content in rhizosphere soils but a positive correlation with soil electrical conductivity in nonrhizosphere soils. Co-occurrence network analysis revealed complex interaction patterns among myxobacterial genera and other bacterial genera, with closer interactions observed in rhizosphere soils. This study highlights the importance of environmental factors in regulating microbial community structure and function in saline-alkaline wetlands, providing new insights into the ecological roles and interaction mechanisms of myxobacteria within the ecosystem.

Whole-genome sequence-based surveillance of bacteria for determinants of antimicrobial resistance (AMR) promises many advantages over traditional, wet-lab approaches. However, adjustments to parameters used to identify genetic determinants from sequencing data can affect results and interpretation of the important determinants in circulation. Using a dataset of whole-genome sequences from 1633 isolates of Salmonella Heidelberg and S. Kentucky collected from surveillance of Canadian poultry production, we queried the genomic data using an in silico AMR detection tool, StarAMR, applying a range of parameter values required for the detection pipeline to test for differences in detection accuracy. We compared the results from each iteration to phenotypic antimicrobial susceptibility results, and generated estimates of sensitivity and specificity using regression models that controlled for the effects of multiple sampling events and variables, and interactions between covariates. Results from our analyses revealed small, yet significant effects of the input parameters on the sensitivity and specificity of the AMR detection tool, and these effects differed based on the serovar and drug class in question. Findings from this study may have implications for the incorporation of whole-genome sequence-based approaches to the surveillance of AMR determinants in bacteria sampled from food products and animals related to food production.

Potato tuber periderm is armored with suberin, that consists of two domains, an aliphatic domain composed of fatty acid polyesters and an aromatic domain composed of cinnamic acids. Streptomyces scabies 87.22, a predominant causal agent of potato common scab, was compared for adaptation to tuber suberin with Streptomyces acidiscabies ATCC 49003 and Streptomyces turgidiscabies Car8 belonging to emerging pathogenic species. Streptomyces scabies 87.22 showed higher growth in the suberin supplemented medium than the two other strains. When co-cultured in a rich nutrient medium, S. acidiscabies ATCC 49003 produced the antibiotic oxanthromicin, which inhibited growth and mycelium development of the other strains. Exposure of S. scabies 87.22 and S. acidiscabies ATCC 49003 to suberin was accompanied by the secretion of enzymes degrading cellulose, hemicellulose, fatty acids, and glycerol derivatives. Compared to the two other strains, S. scabies 87.22 showed higher esterase activity in suberin-supplemented medium and strong induction of cellulase gene expression. Both S. acidiscabies ATCC 49003 and S. turgidiscabies Car8 exhibited a poor utilization of trans-ferulic and p-coumaric acids, suggesting almost no ability to degrade the aromatic moiety of suberin. This work suggests that S. scabies 87.22 is better adapted to the potato periderm degradation than the emerging pathogens. The elucidation of pathogenic Streptomyces strains interaction may contribute to the improvement of ecologically oriented agronomic strategies for common scab management.

Ciprofloxacin is important for treatment of severe or invasive Salmonella infections in humans. As laboratories transition from phenotypic to genomics-based methods for determining ciprofloxacin non-susceptibility, it is important to define the correlation between genetic determinants of resistance and phenotypic outcomes. Here, we examined ciprofloxacin resistance mechanisms in Salmonella and tested the hypothesis that isolates containing only one mechanism had intermediate resistance while isolates containing two or more mechanisms had full resistance according to breakpoints from the Clinical Laboratory Standards Institute. Among 13 750 human and food/animal Salmonella enterica isolates, 2325 were predicted to be non-susceptible to ciprofloxacin using whole genome sequencing and Staramr. The most common mechanisms of resistance were mutations in gyrA (especially S83F and D87N/D87Y) and the qnrB19 allele. Only 28% of ciprofloxacin resistant isolates had two or more resistance mechanisms; the remainder contained only one mechanism. Of isolates with two or more mechanisms, only 63% were resistant. Thus, the number of genetic determinants of ciprofloxacin resistance in an isolate could not reliably differentiate the ciprofloxacin intermediate or resistant categories when using North American breakpoints. Predicting ciprofloxacin intermediate/resistant as a single non-susceptible category would facilitate global standardization of data to inform public health surveillance, treatment guidelines, and stewardship.

The livestock industry has been a source of concern in terms of antimicrobial resistance (AMR) development and spread, especially from a One Health perspective. Raising livestock without antimicrobials, so called natural (NAT) production, is an increasingly popular practice. This study used metagenomics to compare this practice to conventional (CONV) antimicrobial use (AMU) on the microbiome and resistome in the feces of beef cattle and swine and the cecal contents of broiler chickens. In cattle, Bacteroidetes, Euryarchaeota, and Spirochaetes were more abundant (q < 0.01) in CONV than NAT systems, with no differences (q > 0.05) in bacterial profiles in either swine or chickens. Classes of antimicrobial resistant genes (ARG) were not impacted regardless of AMU in any of the livestock species. However, many tetracycline resistance genes were more abundant in CONV as compared to NAT swine (q < 0.05), but this difference was not observed in cattle or chickens. This study confirmed that elimination of AMU does not necessarily result in an immediate decline in the abundance or diversity of ARGs within a single livestock production cycle.

A species of Morchella was observed growing in spring, under a vulnerable member of the Proteaceae, in the Cape Floristic Region of South Africa. These fungi shared many of the cryptic characteristics common in the genus Morchella and displayed a wide range of phenotypic expression. The unique ecology of these fungi and the fact that no endemic Morchella species have been described from Africa lead to suspicions that this could be a novel species. Sequencing of key genetic regions, phylogenetics, and morphological studies confirmed that this was indeed a previously unknown species of Morchella. Roots collected underneath the fruiting bodies displayed a range of root-associated activities, alluding to a possible relationship. Further, this Morchella species has a history of traditional use on the Cape Peninsula of South Africa. The traditional use of fungi is rarely recorded in Africa. In this study, we introduce Morchella capensis sp. nov., the first endemic African morel.

Community-associated Clostridioides difficile infections (CA-CDI) remain a concern in Canada, comprising a quarter of cases previously reported through the Canadian Nosocomial Infection Surveillance Program. Previous Canadian studies have reported toxigenic C. difficile isolated from Canadian retail meat, suggesting that it may be a source of exposure for CA-CDI in Canada. In this study, 3/219 (1.4%) of retail pork and 0/99 (0%) of retail beef samples tested positive for toxigenic C. difficile, which were molecularly characterized by PCR ribotyping and whole-genome sequencing. All three isolates were obtained from pork and belonged to sequence types (STs)/ribotypes (RTs) that have previously been isolated from human clinical CA-CDI cases in Canada: ST1/RT027, ST8/RT002, and ST10/RT015. Retail meat isolates were susceptible to the antimicrobials tested, save one isolate with intermediate resistance to clindamycin. Genomic comparison to Canadian human clinical CA-CDI isolates with the same corresponding ST/RT types showed two of the three pork isolates clustered with CA-CDI isolates via core-genome multilocus sequencing typing, with single nucleotide variant (SNV) analysis showing further genomic relatedness of 2-11 SNVs. Retail meat may therefore be a low source of CA-CDI exposure in Canada, with the potential for foodborne transmission of select clones.

Antimicrobial resistance (AMR) is a global public health threat, but the role of foods in its dissemination is poorly understood. We examined the incidence of foodborne bacteria carrying AMR genes considered high-priority research targets by the World Health Organization. Frozen, ready-to-eat, avocado, coconut, mango, and peach (n = 161) were tested for bacteria encoding extended-spectrum β-lactamases (ESBLs) and carbapenemases. Over 600 presumptive-positive isolates were recovered and analyzed with a pooled sequencing (Pool-seq) strategy. Coconut samples exhibited the highest bacterial loads and prevalence/diversity of AMR genes. Isolates harbouring the β-lactamase genes blactx-m, blatem, and blashv, identified in 14 coconut and 2 mango samples, were further characterized by whole-genome sequencing and antimicrobial susceptibility testing. The most common gene was blactx-m-15, detected in 20 unique strains. Two carbapenemase-producing strains were isolated from coconut: Enterobacter roggenkampii encoding blandm-1 and Escherichia coli encoding blandm-5. Subsequent quantitative PCR (qPCR) analysis of enrichments for blactx-m/blandm indicated a potentially higher prevalence of these genes than observed by colony screening. This study presents a practical method for recovering ESBL- and carbapenemase-producing bacteria from foods. Mapping their distribution in food products is crucial to assessing the role of foods in the global spread of AMR and developing effective public health interventions.

This study investigated the cecal microbiome of broilers raised under specific antimicrobial feeding programs (AFPs). A total of 2304 day-old Ross-708 male (M, n = 1152) and female (F, n = 1152) chicks were distributed into 48 floor pens which were allocated to one of three AFPs: Conventional, raised without medically important antibiotics (RWMIA), and raised without antibiotics (RWA). At 28 (D28) and 41 (D41) days of age, cecal contents were collected for culture dependent and independent analyses. At both 28 and 41 days, Enterococcus was more abundant in RWA-raised broilers than other groups with the most abundance of this bacterium being found in female birds (P < 0.05). At D41, the most abundant Eimeria tenella counts was observed in RWA-raised broiler ceca (P < 0.05). Sex effects were observed on the abundances of four of the 248 identified antimicrobial resistance genes while abundances of 10 were modulated by AFPs (P < 0.05). Ceca of females birds showed more tssB than males, and ceca of RWMIA-raised birds contained the highest abundance of chuY genes regardless of sex. This study showed that in a specific feeding program, cecal resistome can be affected by chicken’s sex contributing to understand the AMR related to the AMU.

This expansion for the modular vector assembly platform BEVA (Bacterial Expression Vector Archive) introduces 11 new BEVA parts including two new cloning site variants, two new antibiotic resistance modules, three new origins of replication, and four new accessary modules. As a result, the modular system is now doubled in size and expanded in its capacity to produce diverse replicating plasmids. Furthermore, it is now amenable to genetic engineering methods involving genome-manipulation of target strains through deletions or integrations. In addition to introducing the new modules, we provide several BEVA-derived Golden Gate cloning plasmids that are used to validate parts and that may be useful for genetic engineering of proteobacteria and other bacteria. We also introduce new parts to allow compatibility with the CIDAR MoClo parts libraries.

Incorporating shrub willow chips into soil may improve the chemical, physical, and biological properties of soils with low organic matter but the impact on soil microbial communities and their dynamics is not known. We assessed changes in the soil microbial communities in response to willow chip applied at increasing rates (0, 20, 40, and 60 Mg ha⁻¹) in a potato-barley cropping system. Bacterial and fungal community diversity, relative abundance, and potential functions were assessed using amplicon sequencing of 16S and ITS rRNA genes at six time points. High rates (40 and 60 Mg ha⁻¹) of willow chips had no effect on bacterial alpha diversity but significantly decreased fungal alpha diversity (Shannon) while increasing fungal richness (Chao-1). At rates of 40 Mg ha⁻¹ and higher, the relative abundance of copiotrophic bacterial groups increased, while that of copiotrophic fungal groups decreased. The relative abundance of the most dominant microbial phyla and genera varied over time, with copiotrophic groups declining and oligotrophic groups increasing. High willow chip application rates increased bacterial molecular markers related to carbon fixation and degradation, nitrogen fixation, and phosphorus solubilization, while decreasing markers related to cellobiose transport and denitrification. This study demonstrates the ability of willow chips to influence the microbial community composition and potential function over time.

Agricultural practices, specifically the use of antibiotics and other biocides, have repercussions on human, animal, and plant health. The aim of this study was to evaluate the levels of Enterobacteriaceae and Enterococcus, as antibiotic-resistant marker bacteria, in various matrices across the agro-ecosystem of an antibiotic-free swine farm in Quebec (Canada), namely pig feed, feces, manure, agricultural soil, water and sediment from a crossing stream, and soil from nearby forests. Samples were collected in fall 2022, spring and fall 2023, and spring 2024. All samples were subjected to counts of total, cefotaxime-, and ciprofloxacin-resistant Enterobacteriaceae as well as total and vancomycin-resistant Enterococcus spp. The frequency of total and cefotaxime-resistant Enterobacteriaceae along with the vancomycin-resistant Enterococcus decreased with age in pig feces, from weaning to the end of the fattening period. High proportions of the Enterobacteriaceae recovered from feces and environmental samples were resistant to cefotaxime. Application of manure on fields contributed a significant input of Enterococcus, but those resistant to vancomycin were under the detection limit. This study shows the prevalence of antibiotic-resistant bacteria in a farm agro-ecosystem even without the administration of antibiotics to the animals and highlights the complexity of components influencing antimicrobial resistance in the environment.

Climate change is rapidly altering Arctic marine environments, leading to warmer waters, increased river discharge, and accelerated sea ice melt. The Hudson Bay Marine System experiences the fastest rate of sea ice loss in the Canadian North resulting in a prolonged open water season during the summer months. We examined microbial communities in the Hudson Strait using high throughput 16s rRNA gene sequencing during the peak of summer, in which the bay was almost completely ice-free, and air temperatures were high. We found that salinity and temperature significantly affected the taxonomic composition among microbial communities across sites. We observed a higher relative abundance of specific Polaribacter sp. Amplicon sequence variants (ASVs) at more saline sites. Shannon diversity was not significantly impacted by salinity or temperature. These results contribute to our understanding of surface water microbial community composition in the Hudson Strait and shed light on how future salinity and temperature conditions may favour certain microbial populations.

The Canadian Genomics Research and Development Initiative for Antimicrobial Resistance (GRDI-AMR) uses a genomics-based approach to understand how health care, food production and the environment contribute to the development of antimicrobial resistance. Integrating genomics contextual data streams across the One Health continuum is challenging because of the diversity in data scope, content and structure. To better enable data harmonization for analyses, a contextual data standard was developed. However, development of standards does not guarantee their use. Implementation strategies are critical for putting standards into practice. This work focuses on the development of implementation strategies to better operationalize data standards across the Canadian federal genomics ecosystem. Results include improved understanding of complex data models that can create challenges for existing systems. Technical implementation strategies included spreadsheet-based solutions, new exchange formats, and direct standards integration into new databases. Data curation exercises highlighted common data collection and sharing issues, which informed improved practices and evaluation procedures. These new practices are contributing to improved data quality and sharing within the GRDI-AMR consortium as evidenced by publicly available datasets. The implementation strategies and lessons learned described in this work are generalizable for other standards and can be applied more broadly within other initiatives.

The use of probiotics is an alternative approach to mitigate the proliferation of antimicrobial resistance in aquaculture. In our study, we examined the effects of Lactobacillus rhamnosus GG (ATCC 53103, LGG) delivered in-feed on the weight, length, skin mucus, and faecal microbiomes of Atlantic salmon. We also challenged the salmon with Aeromonas salmonicida 2004-05MF26 (Asal2004) and assessed the mortality. Our results showed no significant change (P > 0.05) in weight or length of Atlantic salmon or their resilience to Asal2004 infection after LGG feeding. Infection changed significantly the skin mucus and faecal microbiomes: Clostridium sensu stricto increased from 3.14% to 9.20% in skin mucus and 1.39% to 3.74% in faeces (P < 0.05). Aeromonas increased from 0.02% to 0.60% in faeces (P < 0.05). Photobacterium increased from not detected (0%) to 52.16% (P < 0.01) and Aliivibrio decreased from 67.21% to 0.71% in faeces (P < 0.01). After infection, Lactococcus (9.93%) and Lactobacillus (2.11%) in skin mucus of the LGG group were significantly higher (P < 0.05) than in the skin mucus from the rest of the groups (4.14% and 1.08%, respectively). In conclusion, LGG feeding did not further increase the resilience of vaccinated Atlantic salmon. Asal2004 infection had much greater impact on skin mucus and faecal microbiomes than LGG feeding.

Acinetobacter baumannii is an opportunistic pathogen that is often studied in commonly used rich media in laboratories worldwide. Due to the metabolic versatility of A. baumannii, it can be cultured in different growth mediums; however, this can lead to genotypic and phenotypic variations. In this study, we compared phenotypic and transcriptomic changes in A. baumannii ATCC17978-VU cultured in M9 minimal media supplemented with 20 mmol/L sodium succinate and rich lysogeny broth media. Phenotypically, growth was significantly slowed, virulence in Galleria mellonella was attenuated, and susceptibility to a variety of antibiotic classes was reduced when A. baumannii ATCC17978-VU was grown in minimal media versus rich media. Transcriptomic analysis showed differential regulation of >700 genes—including those associated with energy production and ribosomal function—when the two growth conditions were compared, with the majority of the upregulated genes seen in minimal media of unknown function. This study showed that culture media has a profound effect on the phenotype and cellular workings of a bacteria, highlighting the need for more studies of pathogens like A. baumannii ATCC17978-VU in minimal media.

Escherichia coli is a Gram-negative bacterium that is ubiquitous in animals and humans, with some strains capable of causing disease. The aim of this study was to perform a comparative genomic analysis of 2732 generic E. coli isolates that were recovered from poultry samples collected from six regions in Canada as part of the National Microbiological Baseline study in Broiler Chicken. Isolates were subjected to whole genome sequencing and a subset (1122/2732) were tested for phenotypic resistance to 15 antimicrobials. These E. coli isolates were highly diverse, representing 376 serotypes, 236 sequence types and 21 pathotypes, of which 19 were hybrid pathotypes. A high concordance (>85%) between resistance phenotype and the presence of antimicrobial resistance genes and point mutations (resistance determinants) was observed for 13/15 antimicrobials. Over 95% of the β-lactam, fluoroquinolone, and phenicol resistance genes were predicted to be plasmid-borne. The number of resistance determinants per genome was highest in Quebec, while resistance genes associated with β-lactam resistance were more frequently detected in isolates from British Columbia. Generic E. coli in Canadian poultry are highly diverse, can carry pathotype-associated virulence factors and resistance determinants of clinical significance with a risk of emerging into pathogenic strains.

The objective of this study was to compare chlorhexidine digluconate and other antibiotics susceptibility of four species of theAcinetobacter baumannii complex, and further investigate the chlorhexidine digluconate (CHG) tolerance mechanisms and molecular epidemic characteristics. Of 889 A. baumannii complex isolates, A. baumannii, A. nosocomialis, A. pittii, and A. seifertii accounted for 84.2%, 10.9%, 3.4%, and 1.5%. Acinetobacter baumannii was generally resistant to all tested antibiotics, while other three species were commonly more susceptible; 92.1% (313/340) CHG-tolerant A. baumannii, 19.6% (19/97) CHG-tolerant A. nosocomialis, 3.3% (1/30) CHG-tolerant A. pittii, and 15.4% (2/13) CHG-tolerant A. seifertii were identified. Furthermore, compared to A. baumannii ATCC 19606, upregulated expression was found in qacEΔ1, fabI, and efflux pump encoding genes in CHG-tolerant A. baumannii, but the expression level of oprD was reduced. Additionally, only the expression level of fabI was increased in the CHG-tolerant A. nosocomialis, and the expression level of adeG was increased in the CHG-tolerant A. pittii and A. seifertii. Furthermore, CHG-tolerant A. baumannii may have a relatively high clonal correlation, the predominant sequence type of which was ST208 (90%, 36/40). It is rather necessary to identify specific species members among the A. baumannii complex for clinical treatment options and antibiotics resistance monitoring.

Conjugation is a complex phenomenon involving multiple plasmid, bacterial, and environmental factors. Here we describe an IncI1 plasmid encoding multidrug antibiotic resistance to aminoglycosides, sulfonamides, and third-generation cephalosporins. This plasmid is widespread geographically among animal, human, and environmental sectors. We present data on the transmissibility of this plasmid from Salmonella enterica ser. Kentucky into 40 strains of S. enterica (10 strains each from serovars Enteritidis, Heidelberg, Infantis, and Typhimurium). Thirty seven out of 40 strains were able to take up the plasmid. Rates of conjugation were variable between strains ranging from 10⁻⁸ to 10⁻⁴. Overall, serovars Enteritidis and Typhimurium demonstrated the highest rates of conjugation, followed by Heidelberg, and then Infantis. No relationships were observed between the recipient cell surface and rate of conjugation. Recipient cell numbers correlated positively with conjugation rate and strains with high conjugation rates had marginally but significantly higher growth parameters compared to strains that took up the plasmid at lower frequencies. Environmental conditions known to impact cell growth, such as temperature, nutrient availability, and the presence of antibiotics, had a modulating effect on conjugation. Collectively, these results will further understanding of plasmid transmission dynamics in Salmonella, which is a critical first step towards the development of mitigation strategies.