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Two different approaches, real-time PCR and in silico analysis, were used to study the abundance of bacterial genes encoding the enzymes producing biomarker metabolites in metagenomes of gut microbiota of children with autism spectrum disorders (ASD) and healthy children. As a result of the analysis of the published data, the following biomarker metabolites of ASD were chosen for the research: p-cresol, indole, propionic acid, and D-lactic acid. For the real-time PCR and the transcriptomic analysis, primer sequences were used specifically developed for conservative regions of the genes involved in production of these bacterial metabolites. Nucleotide sequences of the conservative regions were also united into a catalog and were searched in metagenomic assemblies as part of in silico analysis. Comparison of the results revealed a decrease in abundance of the genes in the metagenomes of children with ASD during both PCR and bioinformatics analyses. In addition, real-time PCR made it possible to detect a significant increase in abundance of the genes encoding p-hydroxyphenylacetate decarboxylase and D-lactate dehydrogenase in Bacteroides fragilis and Alistipes finegoldii species and methylmalonyl-CoA decarboxylase in B. fragilis, Alistipes shahii, and Eubacterium rectali species. A low level of the transcripts in total RNA was found in microbiota of a child with severe form of ASD.

We carried out the full genome sequencing of Bifidobacterium angulatum GT102. B. angulatum is rare species in the human gut microbiota, compared to the Bifidobacterium longum and Bifidobacterium adolescentis. In this regard, we investigated the genes of B. angulatum GT102 that are supposedly involved in the interaction with the host. Our analysis revealed an interesting histidine kinase HK10 belonging to the family of kinases, which can be bacterial adrenergic receptors. We discovered the PFNA cluster comprising a gene encoding fibronectin type III domain-containing protein having cytokine receptor motifs. The products of this cluster are possibly capable of interacting with human cytokines. Moreover genome of B. angulatum GT102 contains gene cluster, involved in the production of cell surface-associated capsular exopolysaccharides, that has unique genetic structure. The obtained results provided information regarding some undescribed characteristics of B. angulatum species and also help to better understand in a comparative aspect its communication characteristics.

A great amount of attention has been paid to the study of the microbiota–gut–brain axis in recent years. Gut microbiota can affect development and functioning of the brain through synthesis of various neuroactive metabolites, such as neurotransmitters, hormones, and other compounds. In the present study, the presence and distribution are analyzed for the genes controlling the synthesis of enzymes involved in production of neuroactive compounds in 147 gut metagenomes of healthy people from Human Microbiome Project database and synthetic metagenome artificially assembled from 508 bacterial genomes. The analysis is conducted using the collected catalog of orthologs for 17 key enzymes and an algorithm developed for their search. As a result of analyses of genomic and metagenomic data of healthy people, seven bacterial genera containing the greatest number of enzyme genes and 8 enzymes out of 17 that are observed the most frequently are chosen. It is assumed that the selected “core” genera and enzymes form a metagenomic signature reflecting the neurometabolic potential of the human intestinal microbiota in the norm.

The in silico analysis of 36 sequenced genomes of bacteria of the Bifidobacterium genus determined the presence of 19 genes of toxin-antitoxin (TA) system that belong to the MazEF and RelBE families, including five mazF and two relE genes that encode toxins and 12 relB genes that encode antitoxins. A high level of gene (at the level of nucleotide changes) and genomic (presence or absence of genes in distinct genomes) polymorphism in the investigated genes was revealed. The highest level of polymorphism was observed in strains of the Bifidobacterium longum species, primarily in relB1-relB10 genes. Gene and genomic polymorphism might be used to identify the strain of B. longum species. PCR analysis of genomic DNA of 30 bifidobacteria strains belonging to the three species, B. longum, B. adolescentis, and B. bifidum, isolated from the intestinal microbiota of astronauts demonstrated the presence of mazF and relB genes. The observed polymorphism of TA genes indicates the presence of differences in bifidobacteria strains isolated from the intestinal microbiota of astronauts before and after space flight and the control group.

The stability of inheritance of several genes in the Russian commercial strain Bifidobacterium lon- gum subsp. longum B379M during cultivation and maintenance under laboratory conditions has been studied. The examined genes code for probiotic characteristics, such as utilization of several sugars (lacA2 gene, encoding β-galactosidase; ara gene, encoding arabinosidase; and galA gene, encoding arabinogalactan endo-β-galactosidase); synthesis of bacteriocins (lans gene, encoding lanthionine synthetase); and mobile gene tet(W) of resistance to the antibiotic tetracycline. The other gene families studied include the genes responsible for signal transduction and adaptation to stress conditions in the majority of bacteria (serine/threonine protein kinases and the toxin-antitoxin systems of MazEF and RelBE families) and transcription regulators (genes encoding WhiB family proteins). Genomic DNA was analyzed by PCR using specially selected primers. A loss of the genes galA and tet(W) has been shown. It is proposed to expand the requirements on probiotic strains, namely, to control retention of the key probiotic genes using molecular biological methods.