Adaptive response to iterative passages of five Lactobacillus species in simulated vaginal fluid.

BACKGROUND: Microbiome and metagenomic studies have given rise to a new understanding of microbial colonization of various human tissues and their ability to impact our health. One human microbiome growing in notoriety, the vaginal microbiome, stands out given its importance for women's health, and is peculiar in terms of its relative bacterial composition, including its simplicity and typical domination by a small number of Lactobacillus species. The loss of Lactobacillus dominance is associated with disorders such as bacterial vaginosis, and efforts are now underway to understand the ability of Lactobacillus species to colonize the vaginal tract and adapt to this dynamic and acidic environment. Here, we investigate how various Lactobacillus species often isolated from the vaginal and intestinal cavities genomically and transcriptionally respond to iterative growth in simulated vaginal fluid. RESULTS: We determined the genomes and transcriptomes of L. acidophilus, L. crispatus, L. fermentum, L. gasseri, and L. jensenii and compared profiles after 50, 100, 500, and 1000 generations of iterative passages in synthetic vaginal fluid. In general, we identified relatively few genetic changes consisting of single nucleotide polymorphisms, with higher counts occurring more frequently in non-vaginal isolated species. Transcriptional profiles were more impacted over time and tended to be more extensive for species that typically do not dominate the vaginal tract, reflecting a more extensive need to adapt to a less familiar environment. CONCLUSIONS: This study provides insights into how vaginal and non-vaginal Lactobacillus species respond and adapt to a simulated vaginal environment. Overall, trends indicate high genomic stability for all species involved, with more variability in the transcriptome especially for non-dominant species of the vaginal tract.

Genomic characterization of Lactobacillus fermentum DSM 20052.

BACKGROUND: Lactobacillus fermentum, a member of the lactic acid bacteria complex, has recently garnered increased attention due to documented antagonistic properties and interest in assessing the probiotic potential of select strains that may provide human health benefits. Here, we genomically characterize L. fermentum using the type strain DSM 20052 as a canonical representative of this species. RESULTS: We determined the polished whole genome sequence of this type strain and compared it to 37 available genome sequences within this species. Results reveal genetic diversity across nine clades, with variable content encompassing mobile genetic elements, CRISPR-Cas immune systems and genomic islands, as well as numerous genome rearrangements. Interestingly, we determined a high frequency of occurrence of diverse Type I, II, and III CRISPR-Cas systems in 72% of the genomes, with a high level of strain hypervariability. CONCLUSIONS: These findings provide a basis for the genetic characterization of L. fermentum strains of scientific and commercial interest. Furthermore, our study enables genomic-informed selection of strains with specific traits for commercial product formulation, and establishes a framework for the functional characterization of features of interest.

Applications of CRISPR Technologies Across the Food Supply Chain.

The food industry faces a 2050 deadline for the advancement and expansion of the food supply chain to support the world's growing population. Improvements are needed across crops, livestock, and microbes to achieve this goal. Since 2005, researchers have been attempting to make the necessary strides to reach this milestone, but attempts have fallen short. With the introduction of clustered regularly interspaced short palindromic repeats (CRISPRs) and CRISPR-associated (Cas) proteins, the food production field is now able to achieve some of its most exciting advancements since the Green Revolution. This review introduces the concept of applying CRISPR-Cas technology as a genome-editing tool for use in the food supply chain, focusing on its implementation to date in crop, livestock, and microbe production, advancement of products to market, and regulatory and societal hurdles that need to be overcome.

Characterizing the activity of abundant, diverse and active CRISPR-Cas systems in lactobacilli.

CRISPR-Cas systems provide immunity against phages and plasmids in bacteria and archaea. Despite the popularity of CRISPR-Cas9 based genome editing, few endogenous systems have been characterized to date. Here, we sampled 1,262 publically available lactobacilli genomes found them to be enriched with CRISPR-Cas adaptive immunity. While CRISPR-Cas is ubiquitous in some Lactobacillus species, CRISPR-Cas content varies at the strain level in most Lactobacillus species. We identified that Type II is the most abundant type across the genus, with II-A being the most dominant sub-type. We found that many Type II-A systems are actively transcribed, and encode spacers that efficiently provide resistance against plasmid uptake. Analysis of various CRISPR transcripts revealed that guide sequences are highly diverse in terms of crRNA and tracrRNA length and structure. Interference assays revealed highly diverse target PAM sequences. Lastly, we show that these systems can be readily repurposed for self-targeting by expressing an engineered single guide RNA. Our results reveal that Type II-A systems in lactobacilli are naturally active in their native host in terms of expression and efficiently targeting invasive and genomic DNA. Together, these systems increase the possible Cas9 targeting space and provide multiplexing potential in native hosts and heterologous genome editing purpose.

Using glycolysis enzyme sequences to inform Lactobacillus phylogeny.

The genus Lactobacillus encompasses a diversity of species that occur widely in nature and encode a plethora of metabolic pathways reflecting their adaptation to various ecological niches, including humans, animals, plants and food products. Accordingly, their functional attributes have been exploited industrially and several strains are commonly formulated as probiotics or starter cultures in the food industry. Although divergent evolutionary processes have yielded the acquisition and evolution of specialized functionalities, all Lactobacillus species share a small set of core metabolic properties, including the glycolysis pathway. Thus, the sequences of glycolytic enzymes afford a means to establish phylogenetic groups with the potential to discern species that are too closely related from a 16S rRNA standpoint. Here, we identified and extracted glycolysis enzyme sequences from 52 species, and carried out individual and concatenated phylogenetic analyses. We show that a glycolysis-based phylogenetic tree can robustly segregate lactobacilli into distinct clusters and discern very closely related species. We also compare and contrast evolutionary patterns with genome-wide features and transcriptomic patterns, reflecting genomic drift trends. Overall, results suggest that glycolytic enzymes provide valuable phylogenetic insights and may constitute practical targets for evolutionary studies.

Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences.

Bifidobacteria are important members of the human gastrointestinal tract that promote the establishment of a healthy microbial consortium in the gut of infants. Recent studies have established that the Bifidobacterium genus is a polymorphic phylogenetic clade, which encompasses a diversity of species and subspecies that encode a broad range of proteins implicated in complex and non-digestible carbohydrate uptake and catabolism, ranging from human breast milk oligosaccharides, to plant fibers. Recent genomic studies have created a need to properly place Bifidobacterium species in a phylogenetic tree. Current approaches, based on core-genome analyses come at the cost of intensive sequencing and demanding analytical processes. Here, we propose a typing method based on sequences of glycolysis genes and the proteins they encode, to provide insights into diversity, typing, and phylogeny in this complex and broad genus. We show that glycolysis genes occur broadly in these genomes, to encode the machinery necessary for the biochemical spine of the cell, and provide a robust phylogenetic marker. Furthermore, glycolytic sequences-based trees are congruent with both the classical 16S rRNA phylogeny, and core genome-based strain clustering. Furthermore, these glycolysis markers can also be used to provide insights into the adaptive evolution of this genus, especially with regards to trends toward a high GC content. This streamlined method may open new avenues for phylogenetic studies on a broad scale, given the widespread occurrence of the glycolysis pathway in bacteria, and the diversity of the sequences they encode.