ISSN Print 2500–1094
ISSN Online 2542–1204
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
Copyright: © 2020 by the authors. Licensee: Pirogov University.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
ORIGINAL RESEARCH
Altered neurometabolic potential of gut microbiome in healthy children of different age
About authors
1 Vavilov Institute of General Genetics, Moscow, Russia
2 Psychiatric Hospital № 1 Named after N. A. Alexeev, Moscow, Russia
Correspondence should be addressed: Alexey S. Kovtun
Gubkina, 3, Moscow, 119991; moc.liamg@52sanutvok
About paper
Funding: the study was supported by the Russian Science Foundation, project № 20-14-00132.
Compliance with ethical standards: the study was approved by the Ethics Committee of the Pirogov Russian National Research Medical University (protocol № 165 dated May 22, 2017). The informed consent was obtained from parents of all children.
Author contribution: Kovtun AS — algorithm development, bioinformatics analysis, catalogue creation, data interpretation and vizualization; Averina OV — method development, catalogue creation, data interpretation, manuscript writing; Poluektova EU — method development, catalogue creation; Kostyuk GP and Danilenko VN — study concept, method development, data interpretation.
Received: 2020-11-13
Accepted: 2020-12-02
Published online: 2020-12-11
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Fig. 1. Relative abundance of genes found in the ChM and AM groups. The figure shows the median relative abundance values for each gene found in more than 50% of samples. The values for the ChM group are light gray, the values for the AM group are dark gray. The values in the head are P-values obtained using the Wilcoxon signedrank test and the multiple testing correction based on permutation test, 1000 permutations
Fig. 2. Metagenomic signature and core metagenomic signature of human gut microbiota constructed for ChM group (A and B respectively), alterations of signature pairs abundance for AM group (C and D respectively). Color gradient shows the average relative abundance of the pairs (species; gene). Fig. (A) and (В) show only pairs found in more than 50% of samples, Fig. (C) and (D) show pairs found in more than 70% of samples
Fig. 3. Differences in taxonomic composition of gut microbiota for the ChM and AM groups. Alpha diversity for both groups was defined using the Shannon’s diversity
index at the genus (A) and species (B) level. The taxonomic composition alterations at the phylum level (C) are displayed as percentage values. The vertical error bars show the standard deviation
Table 1. Characteristics of studied metagenomic samples
Table 2. Updated catalogue of homologs
Table 3. Relative abundance of bacterial genera found in the ChM and AM groups
Note: the table presents only genera found in more than 50% of samples with abundance of at least 0.5%.
Table 4. Relative abundance of bacterial species found in the ChM and AM groups
Note: the table presents only genera found in more than 50% of samples with abundance of at least 0.5%.
Table 5. Strain diversity of bacterial species for the ChM and AM groups defined using the TAGMA software
