Genomic insights into antibiotic resistance and mobilome of lactic acid bacteria and bifidobacteria.

Lactic acid bacteria (LAB) and Bifidobacterium sp. (bifidobacteria) can carry antimicrobial resistance genes (ARGs), yet data on resistance mechanisms in these bacteria are limited. The aim of our study was to identify the underlying genetic mechanisms of phenotypic resistance in 103 LAB and bifidobacteria using whole-genome sequencing. Sequencing data not only confirmed the presence of 36 acquired ARGs in genomes of 18 strains, but also revealed wide dissemination of intrinsic ARGs. The presence of acquired ARGs on known and novel mobile genetic elements raises the possibility of their horizontal spread. In addition, our data suggest that mutations may be a common mechanism of resistance. Several novel candidate resistance mechanisms were uncovered, providing a basis for further in vitro studies. Overall, 1,314 minimum inhibitory concentrations matched with genotypes in 92.4% of the cases; however, prediction of phenotype based on genotypic data was only partially efficient, especially with respect to aminoglycosides and chloramphenicol. Our study sheds light on resistance mechanisms and their transferability potential in LAB and bifidobacteria, which will be useful for risk assessment analysis.

Quantification of lactoferrin in human milk using monolithic cation exchange HPLC.

Human lactoferrin (hLF) is one of the most important whey proteins in human milk, known for its ability to modulate innate host immunity and multifunctional activities for neonatal growth. The objective of this study was to validate an efficient method for the detection and quantification of hLF using a unique technology of cation-exchange high-performance liquid chromatography (HPLC) on CIM® monolithic columns. Human milk samples were collected using manual expression or a breast pump, at different weeks of lactation. After sample preparation, hLF was detected and measured by HPLC method and further confirmed by SDS-PAGE. Selected fractions were analysed also by LC-MS/MS. Presumably, due to the high density of positive charge on the surface of the N-terminal domain, hLF binds strongly to the column and elutes last, enabling the high specificity of this method. The LC-MS/MS analysis indicated that hLF eluted in two clearly separated peaks, presumably representing two different molecular species of hLF. hLF concentration in the human milk samples ranged from 2.03 mg/mL to 5.79 mg/mL and was not significantly affected by the sample collection method whereas it was negatively correlated with the stage of lactation. These results suggest that cation exchange chromatography is an accurate, efficient, and robust method for the detection and quantification of hLF.

Lactic acid bacteria and bifidobacteria deliberately introduced into the agro-food chain do not significantly increase the antimicrobial resistance gene pool.

Lactic acid bacteria (LAB) and bifidobacteria may serve as reservoirs of antimicrobial resistance, but the risk posed by strains intentionally introduced into the agro-food chain has not yet been thoroughly investigated. The aim of our study was to evaluate whether probiotics, starter and protective cultures, and feed additives represent a risk to human health. In addition to commercial strains of LAB and bifidobacteria, isolates from human milk or colostrum, intestinal mucosa or feces, and fermented products were analyzed. Phenotypic susceptibility data of 474 strains showed that antimicrobial resistance was more common in intestinal isolates than in commercial strains. Antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs) were characterized in the whole genome sequences of 1114 strains using comparative genomics. Intrinsic ARGs were abundant in enterococci, bifidobacteria, and lactococci but were considered non-risky due to the absence of MGEs. The results revealed that 13.8% of commercial strains contained acquired ARGs, most frequently for tetracycline. We associated 75.5% of the acquired ARGs with known or novel MGEs, and their potential for transmission was assessed by examining metagenomic sequences. We confirmed that ARGs and MGEs were not as abundant or diverse in commercial strains as in human intestinal isolates or isolates from human milk, suggesting that strains intentionally introduced into the agro-food chain do not pose a significant threat. However, attention should be paid especially to individual probiotic strains containing elements that have been shown to have high potential for transferability in the gut microbiota.Abbreviations: ARG, antimicrobial resistance gene; ICE, integrative and conjugative element; IME, integrative and mobilizable element; LAB, lactic acid bacteria; MDR, multidrug resistance; MIC, minimum inhibitory concentration; MGE, mobile genetic element; TRRPP, tetracycline-resistant ribosomal protection protein; WGS, whole genome sequences.

Type IV pili are widespread among non-pathogenic Gram-positive gut bacteria with diverse carbohydrate utilization patterns.

Type IV pili (T4P) are bacterial surface-exposed appendages that have been extensively studied in Gram-negative pathogenic bacteria. Despite recent sequencing efforts, little is known regarding these structures in non-pathogenic anaerobic Gram-positive species, particularly commensals of the mammalian gut. Early studies revealed that T4P in two ruminal Gram-positive species are associated with growth on cellulose, suggesting possible associations of T4P with substrate utilization patterns. In the present study, genome sequences of 118 taxonomically diverse, mainly Gram-positive, bacterial strains isolated from anaerobic (gastrointestinal) environments, have been analysed. The genes likely to be associated with T4P biogenesis were analysed and grouped according to T4P genetic organization. In parallel, consortia of Carbohydrate Active enZYmes (CAZymes) were also analysed and used to predict carbohydrate utilization abilities of selected strains. The predictive power of this approach was additionally confirmed by experimental assessment of substrate-related growth patterns of selected strains. Our analysis revealed that T4P systems with diverse genetic organization are widespread among Gram-positive anaerobic non-pathogenic bacteria isolated from different environments, belonging to two phylogenetically distantly related phyla: Firmicutes and Actinobacteria.

Characterization of antimicrobial resistance in lactobacilli and bifidobacteria used as probiotics or starter cultures based on integration of phenotypic and in silico data.

Lactic acid bacteria and bifidobacteria deliberately introduced into the food chain may act as a reservoir of antimicrobial resistance genes (ARGs), which is considered a safety concern. In the present study, resistance to antimicrobials of commercial probiotic strains, probiotic candidate strains, and starter cultures (n = 20) was characterised based on integration of phenotypic and in silico data. Minimum inhibitory concentrations (MICs) of 16 antimicrobials were determined for lactobacilli and bifidobacteria that were isolated from pharmaceutical products or obtained from the manufacturers or culture collections. Using different databases and bioinformatic tools, we predicted ARGs, mutations, genomic islands, and mobile genetic elements (MGEs) in their whole genome sequences. In addition, a comprehensive in silico analysis of the prevalence of the tetW gene and its genetic environment across lactobacilli and bifidobacteria (n = 1423) was conducted. Several strains exhibited phenotypic resistance to kanamycin, tetracycline, chloramphenicol, quinupristin-dalfopristin, ciprofloxacin, or neomycin. These resistances, however, did not always correspond to the presence of ARGs and vice versa. We detected an acquired tetW gene in four commercial strains of Bifidobacterium animalis subsp. lactis, whereas homologs of antimicrobial resistance (AR) proteins were predicted in all 20 proteomes. The prevalence of the tetW gene, which was often flanked by MGEs, was higher in analysed bifidobacteria (31.9%) than lactobacilli (6.3%). In addition, sequences flanking tetW were associated with putative genomic islands and were conserved in several strains, including potential pathogens. Our findings provide an insight into AR of probiotics, probiotic candidates, and starter cultures with an emphasis on tetracycline and into the safety of these strains in the context of AR.

Harnessing Omics Big Data in Nine Vertebrate Species by Genome-Wide Prioritization of Sequence Variants with the Highest Predicted Deleterious Effect on Protein Function.

Harnessing the genomics big data requires innovation in how we extract and interpret biologically relevant variants. Currently, there is no established catalog of prioritized missense variants associated with deleterious protein function phenotypes. We report in this study, to the best of our knowledge, the first genome-wide prioritization of sequence variants with the most deleterious effect on protein function (potentially deleterious variants [pDelVars]) in nine vertebrate species: human, cattle, horse, sheep, pig, dog, rat, mouse, and zebrafish. The analysis was conducted using the Ensembl/BioMart tool. Genes comprising pDelVars in the highest number of examined species were identified using a Python script. Multiple genomic alignments of the selected genes were built to identify interspecies orthologous potentially deleterious variants, which we defined as the "ortho-pDelVars." Genome-wide prioritization revealed that in humans, 0.12% of the known variants are predicted to be deleterious. In seven out of nine examined vertebrate species, the genes encoding the multiple PDZ domain crumbs cell polarity complex component (MPDZ) and the transforming acidic coiled-coil containing protein 2 (TACC2) comprise pDelVars. Five interspecies ortho-pDelVars were identified in three genes. These findings offer new ways to harness genomics big data by facilitating the identification of functional polymorphisms in humans and animal models and thus provide a future basis for optimization of protocols for whole genome prioritization of pDelVars and screening of orthologous sequence variants. The approach presented here can inform various postgenomic applications such as personalized medicine and multiomics study of health interventions (iatromics).