Glutamine synthetase type I (glnAI) represents a rewarding molecular marker in the classification of bifidobacteria and related genera.

The family Bifidobacteriaceae constitutes an important phylogenetic group that particularly includes bifidobacterial taxa demonstrating proven or debated positive effects on host health. The increasingly widespread application of probiotic cultures in the twenty-first century requires detailed classification to the level of particular strains. This study aimed to apply the glutamine synthetase class I (glnAI) gene region (717 bp representing approximately 50% of the entire gene sequence) using specific PCR primers for the classification, typing, and phylogenetic analysis of bifidobacteria and closely related scardovial genera. In the family Bifidobacteriaceae, this is the first report on the use of this gene for such purposes. To achieve high-value results, almost all valid Bifidobacteriaceae type strains (75) and 15 strains isolated from various environments were evaluated. The threshold value of the glnAI gene identity among Bifidobacterium species (86.9%) was comparable to that of other phylogenetic/identification markers proposed for bifidobacteria and was much lower compared to the 16S rRNA gene. Further statistical and phylogenetic analyses suggest that the glnAI gene can be applied as a novel genetic marker in the classification, genotyping, and phylogenetic analysis of isolates belonging to the family Bifidobacteriaceae.

Genetic marker-based multi-locus sequence analysis for classification, genotyping, and phylogenetics of the family Bifidobacteriaceae as an alternative approach to phylogenomics.

Bifidobacteria are widely known for their probiotic potential; however, little is known regarding the ecological significance and potential probiotic effects of the phylogenetically related 'scardovial' genera (Aeriscardovia, Alloscardovia, Bombiscardovia, Galliscardovia, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia) and Gardnerella classified with bifidobacteria within the Bifidobacteriaceae family. Accurate classification and genotyping of bacteria using certain housekeeping genes is possible, whilst current phylogenomic analyses allow for extremely precise classification. Studies of applicable genetic markers may provide results comparable to those obtained from phylogenomic analyses of the family Bifidobacteriaceae. Segments of the glyS (624 nucleotides), pheS (555 nucleotides), rpsA (630 nucleotides), and rpsB (432 nucleotides) genes and their concatenated sequence were explored. The mean glyS, pheS, rpsB and rpsA gene sequence similarities calculated for Bifidobacterium taxa were 84.8, 85.2, 90.2 and 86.8%, respectively. Interestingly, the average value of the Average Nucleotide Identity among 67 type strains of the family Bifidobacteriaceae (84.70%) calculated based on values published recently was in agreement with the average pairwise similarity (84.6%) among 75 type strains of Bifidobacteriaceae family computed in this study using the concatenated sequences of four gene fragments. Similar to phylogenomic analyses, several gene sequence and phylogenetic analyses revealed that concatenated gene regions allow for classification of Bifidobacteriaceae strains into particular phylogenetic clusters and groups. Phylogeny reconstructed from the concatenated sequences assisted in defining two novel phylogenetic groups, the Bifidobacterium psychraerophilum group consisting of B. psychraerophilum, Bifidobacterium crudilactis and Bifidobacterium aquikefiri species and the Bifidobacterium bombi group consisting of B. bombi, Bifidobacterium bohemicum and Bifidobacterium commune.

In-hive variation of the gut microbial composition of honey bee larvae and pupae from the same oviposition time.

BACKGROUND: Knowledge of microbiota composition, persistence, and transmission as well as the overall function of the bacterial community is important and may be linked to honey bee health. This study aimed to investigate the inter-individual variation in the gut microbiota in honey bee larvae and pupae. RESULTS: Individual larvae differed in the composition of major bacterial groups. In the majority of 5th instar bees, Firmicutes showed predominance (70%); however, after larval defecation and during pupation, the abundance decreased to 40%, in favour of Gammaproteobacteria. The 5th instar larvae hosted significantly more (P < 0.001) Firmicutes than black pupae. Power calculations revealed that 11 and 18 replicate-individuals, respectively, were required for the detection of significant differences (P < 0.05) in the Bacteroidetes and Firmicutes abundance between stages, while higher numbers of replicates were required for Actinobacteria (478 replicates) and Gammaproteobacteria (111 replicates). CONCLUSIONS: Although sample processing and extraction protocols may have had a significant influence, sampling is very important for studying the bee microbiome, and the importance of the number of individuals pooled in samples used for microbiome studies should not be underestimated.

Effects of chlorogenic acid, epicatechin gallate, and quercetin on mucin expression and secretion in the Caco-2/HT29-MTX cell model.

Mucins are a family of large glycoproteins that represent the major structural components of the mucus and are encoded by 20 different mucin genes. Mucin expression can be modulated by different stimuli. In this study, we analyzed four mucins (MUC2, MUC3, MUC13, and MUC17) in coculture of Caco-2/HT29-MTX cells to demonstrate the variation in gene expression in the presence of antioxidant compounds like chlorogenic acid, epicatechin gallate, and quercetin (apple, tea, and coffee polyphenols, respectively). coculture of Caco-2/HT29-MTX cells was treated with polyphenols, and the expression of four mucins was determined by reverse-transcriptase PCR. In addition, the secretion levels of MUC2 were established by enzyme-linked immunoassay (ELISA) analysis. The results showed that each polyphenol compound induces different expression patterns of the mucin genes. Statistically significant up-regulation of MUC17 was observed following incubation with epicatechin gallate and quercetin. ELISA results did not prove any significant differences in protein levels of MUC2 after treatment by the polyphenol compounds. The polyphenols considered in this study may influence mucin secretion and act on diverse salivary substrates to change the barrier properties of mucins for mucus secretion in different ways.

Variation in honey bee gut microbial diversity affected by ontogenetic stage, age and geographic location.

Social honey bees, Apis mellifera, host a set of distinct microbiota, which is similar across the continents and various honey bee species. Some of these bacteria, such as lactobacilli, have been linked to immunity and defence against pathogens. Pathogen defence is crucial, particularly in larval stages, as many pathogens affect the brood. However, information on larval microbiota is conflicting. Seven developmental stages and drones were sampled from 3 colonies at each of the 4 geographic locations of A. mellifera carnica, and the samples were maintained separately for analysis. We analysed the variation and abundance of important bacterial groups and taxa in the collected bees. Major bacterial groups were evaluated over the entire life of honey bee individuals, where digestive tracts of same aged bees were sampled in the course of time. The results showed that the microbial tract of 6-day-old 5th instar larvae were nearly equally rich in total microbial counts per total digestive tract weight as foraging bees, showing a high percentage of various lactobacilli (Firmicutes) and Gilliamella apicola (Gammaproteobacteria 1). However, during pupation, microbial counts were significantly reduced but recovered quickly by 6 days post-emergence. Between emergence and day 6, imago reached the highest counts of Firmicutes and Gammaproteobacteria, which then gradually declined with bee age. Redundancy analysis conducted using denaturing gradient gel electrophoresis identified bacterial species that were characteristic of each developmental stage. The results suggest that 3-day 4th instar larvae contain low microbial counts that increase 2-fold by day 6 and then decrease during pupation. Microbial succession of the imago begins soon after emergence. We found that bacterial counts do not show only yearly cycles within a colony, but vary on the individual level. Sampling and pooling adult bees or 6th day larvae may lead to high errors and variability, as both of these stages may be undergoing dynamic succession.