Caroline Barretto

Similarity and Differences in the Lactobacillus acidophilus Group Identified by Polyphasic Analysis and Comparative Genomics

A set of lactobacilli were investigated by polyphasic analysis. Multilocus sequence analysis, DNA typing, microarray analysis, and in silico whole-genome alignments provided a remarkably consistent pattern of similarity within the Lactobacillus acidophilus complex. On microarray analysis, 17 and 5% of the genes from Lactobacillus johnsonii strain NCC533 represented variable and strain-specific genes, respectively, when tested against four independent isolates of L. johnsonii. When projected on the NCC533 genome map, about 10 large clusters of variable genes were identified, and they were enriched around the terminus of replication. A quarter of the variable genes and two-thirds of the strain-specific genes were associated with mobile DNA. Signatures for horizontal gene transfer and modular evolution were found in prophages and in DNA from the exopolysaccharide biosynthesis cluster. On microarray hybridizations, Lactobacillus gasseri strains showed a shift to significantly lower fluorescence intensities than the L. johnsonii test strains, and only genes encoding very conserved cellular functions from L. acidophilus hybridized to the L. johnsonii array. In-silico comparative genomics showed extensive protein sequence similarity and genome synteny of L. johnsonii with L. gasseri, L. acidophilus, and Lactobacillus delbrueckii; moderate synteny with Lactobacillus casei; and scattered X-type sharing of protein sequence identity with the other sequenced lactobacilli. The observation of a stepwise decrease in similarity between the members of the L. acidophilus group suggests a strong element of vertical evolution in a natural phylogenetic group. Modern whole-genome-based techniques are thus a useful adjunct to the clarification of taxonomical relationships in problematic bacterial groups.

Oral T4-like phage cocktail application to healthy adult volunteers from Bangladesh

The genomic diversity of 99 T4-like coliphages was investigated by sequencing an equimolar mixture with Illumina technology and screening them against different databases for horizontal gene transfer and undesired genes. A 9-phage cocktail was given to 15 healthy adults from Bangladesh at a dose of 3×10(9) and 3×10(7) plaque-forming units and placebo respectively. Phages were detected in 64% of the stool samples when subjects were treated with higher titer phage, compared to 30% and 28% with lower-titer phage and placebo, respectively. No Escherichia coli was present in initial stool samples, and no amplification of phage was observed. One percent of the administered oral phage was recovered from the feces. No adverse events were observed by self-report, clinical examination, or from laboratory tests for liver, kidney, and hematology function. No impact of oral phage was seen on the fecal microbiota composition with respect to bacterial 16S rRNA from stool.

T4 phages against Escherichia coli diarrhea: potential and problems.

A combination of in vitro and in vivo experiments with comparative phage genomics was used for the rational design of a phage cocktail against E. coli diarrhea. Orally applied T4 coliphages representing three different subgroups (T4-, RB49- and JS98-like phages) had no negative impact on the murine gut microbiota. T4 phages were found with high titers in the cecum and colon and lower titers in the small intestine, but were not detected in the blood, liver or spleen. No adverse effects were observed after one-month exposure to phage nor were serum anti-T4 antibodies detected. T4 phages belonging to the same subgroup showed closely related genomes that differed by 12 (phage JS10 vs. JS98 reference) to 17 (phage JSE vs. RB49 reference) insertion/deletions mostly representing single small ORFs. Bioinformatic analysis did not reveal undesired genes in the T4 genomes. Sequence variability was seen over the tail fibre genes, but the variability did not correlate with phage host range. The investigated T4 phages were not only species- but also strain-specific, necessitating the use of phage cocktails consisting of 10 and 16 T4 phage isolates to cover half to two thirds of E. coli strains representing the five main pathotypes isolated from diarrhea patients.

Safety analysis of a Russian phage cocktail: from MetaGenomic analysis to oral application in healthy human subjects

Phage therapy has a long tradition in Eastern Europe, where preparations are comprised of complex phage cocktails whose compositions have not been described. We investigated the composition of a phage cocktail from the Russian pharmaceutical company Microgen targeting Escherichia coli/Proteus infections. Electron microscopy identified six phage types, with numerically T7-like phages dominating over T4-like phages. A metagenomic approach using taxonomical classification, reference mapping and de novo assembly identified 18 distinct phage types, including 7 genera of Podoviridae, 2 established and 2 proposed genera of Myoviridae, and 2 genera of Siphoviridae. De novo assembly yielded 7 contigs greater than 30 kb, including a 147-kb Myovirus genome and a 42-kb genome of a potentially new phage. Bioinformatic analysis did not reveal undesired genes and a small human volunteer trial did not associate adverse effects with oral phage exposure.

Genome Analysis of Phage JS98 Defines a Fourth Major Subgroup of T4-Like Phages in Escherichia coli

Numerous T4-like Escherichia coli phages were isolated from human stool and environmental wastewater samples in Bangladesh and Switzerland. The sequences of the major head gene (g23) revealed that these coliphages could be placed into four subgroups, represented by the phages T4, RB69, RB49, and JS98. Thus, JS98 defines a new major subgroup of E. coli T4-like phages. We conducted an analysis of the 169-kb JS98 genome sequence. Overall, 198 of the 266 JS98 open reading frames (ORFs) shared amino acid sequence identity with the reference T4 phage, 41 shared identity with other T4-like phages, and 27 ORFs lacked any database matches. Genes on the plus strand encoded virion proteins, which showed moderate to high sequence identity with T4 proteins. The right genome half of JS98 showed a higher degree of sequence conservation with T4 and RB69, even for the nonstructural genes, than did the left genome half, containing exclusively nonstructural genes. Most of the JS98-specific genes were found in the left genome half. Two came as a hypervariability cluster, but most represented isolated genes, suggesting that they were acquired separately in multiple acquisition events. No evidence for DNA exchange between JS98 phage and the E. coli host genome or coliphages other than T4 was observed. No undesired genes which could compromise its medical use were detected in the JS98 genome sequence.

Campylobacter jejuni Group III Phage CP81 Contains Many T4-Like Genes without Belonging to the T4-Type Phage Group: Implications for the Evolution of T4 Phages

ABSTRACT CP81 is a virulent Campylobacter group III phage whose linear genome comprises 132,454 bp. At the nucleotide level, CP81 differs from other phages. However, a number of its structural and replication/recombination proteins revealed a relationship to the group II Campylobacter phages CP220/CPt10 and to T4-type phages. Unlike the T4-related phages, the CP81 genome does not contain conserved replication and virion modules. Instead, the respective genes are scattered throughout the phage genome. Moreover, most genes for metabolic enzymes of CP220/CPt10 are lacking in CP81. On the other hand, the CP81 genome contains nine similar genes for homing endonucleases which may be involved in the attrition of the conserved gene order for the virion core genes of T4-type phages. The phage apparently possesses an unusual modification of C or G bases. Efficient cleavage of its DNA was only achieved with restriction enzymes recognizing pure A/T sites. Uncommonly, phenol extraction leads to a significant loss of CP81 DNA from the aqueous layer, a property not yet described for other phages belonging to the T4 superfamily.

Beneficial effect of Lactococcus lactis NCC 2287 in a murine model of eosinophilic esophagitis

Eosinophilic esophagitis (EoE) is a severe inflammatory disease of the esophagus which is characterized histologically by an eosinophilic infiltration into the esophageal tissue. The efficacy of probiotics in the context of atopic diseases has been well investigated but, to date, there has been no study which has evaluated probiotic effects on EoE inflammation. This study sought to identify a probiotic which improves esophageal inflammation in experimental EoE.

Genome Sequence of the Lantibiotic Bacteriocin Producer Streptococcus salivarius Strain K12

Streptococcus salivarius is a prevalent commensal species of the oropharyngeal tract. S. salivarius strain K12 is an isolate from the saliva of a healthy child, used as an oral probiotic. Here, we report its genome sequence, i.e., the full sequence of the 190-kb megaplasmid pSsal-K12 and a high-quality draft 2.2-Gb chromosomal sequence.

Fully Closed Genome Sequences of Five Type Strains of the Genus Cronobacter and One Cronobacter sakazakii Strain

ABSTRACT Cronobacter is associated with infant infections and the consumption of reconstituted infant formula. Here we sequenced and closed six genomes of C. condimentiT, C. muytjensiiT, C. universalisT, C. malonaticusT, C. dublinensisT, and C. sakazakii that can be used as reference genomes in single nucleotide polymorphism (SNP)-based next-generation sequencing (NGS) analysis for source tracking investigations.

Gut microbiota: methodological aspects to describe taxonomy and functionality

The human gut is populated by a rich and diverse microbiota that has been described as a human metabolic organ. Its composition has an impact on the health status of the host and could be the target or effector of dietary health effects. The advent of high-throughput sequencing technologies and their integration with advanced analysis methods enables the development of new approaches to characterize the gut microbiota composition and initiates the understanding of its functionality. These technological aspects are not necessarily the limiting factor to successfully identify biological correlations between gut microbiota, diet and health status, as there are other very important aspects. The aim of this article is to address the gut microbiota characterization methodologies, highlight some advantages and challenges, and give our opinion on how critical the sampling and the study design are.