Administration of the Probiotic Escherichia coli Strain A0 34/86 Resulted in a Stable Colonization of the Human Intestine During the First Year of Life
Colinfant New Born (CNB) is an orally administered probiotic preparation containing the Escherichia coli strain A0 34/86, which is specially marketed for use in newborns and infants. Although the impact of different probiotics on the composition of the human gut microbiota has been previously described, the effects of E. coli probiotic consumption during infancy on the development of intestinal microbiota are not known. The effect of oral administration of CNB on the Enterobacteriaceae population was mapped using 16S rRNA gene sequencing in DNA samples isolated from the stools of one infant collected at 177 different time points during the first year of life. E. coli strains turnover was analyzed based on the detection of 26 genetic determinants, phylogroups, and pulsed-field gel electrophoresis (PFGE) analysis. Administration of CNB during the second and third month of life introduced the Escherichia genus to the infant’s intestinal tract, and Escherichia became dominant among the Enterobacteriaceae family (p < 0.01). Genetic determinants, typical for probiotic E. coli A0 34/86 strain, were detected on the first day after application of CNB and persisted all year. In addition, nine transient E. coli strains were identified; these strains harbored different genetic determinants and showed different PFGE profiles. Transient strains were detected from 2 to 24 days in the stool samples. The first Escherichia colonizer originated from the application of the CNB probiotic preparation. Probiotic E. coli A0 34/86 successfully colonized the intestinal tract of an infant and became resident during the first year of life.
KeywordsE. coli Enterobacteriaceae Probiotic Colinfant Sequencing
We thank Thomas Secrest (Secrest Editing, Ltd.) for his assistance with the English revision of the manuscript.
This study was funded by the Ministry of Education, Youth, and Sports of the Czech Republic; the European Structural and Investment Funds (CETOCOEN PLUS project: CZ.02.1.01/0.0/0.0/15_003/0000469; the RECETOX research infrastructure: LM2015051 and CZ.02.1.01/0.0/0.0/16_013/0001761); the Ministry of Health, the Czech Republic (FNBr, 65269705); and by the Grant Agency of the Czech Republic (project No. 17-24592Y). Computational resources were supplied by the Ministry of Education, Youth, and Sports of the Czech Republic under the Projects CESNET (Project No. LM2015042) and CERIT-Scientific Cloud (Project No. LM2015085) provided within the Projects Large Research, Development, and Innovations Infrastructures. Additional funding to SS was provided by the Advanced parallel project and embedded computer systems, Brno University of Technology (FIT-S-17-3994). This work was partly supported by the GAMU grant (MUNI/M/1322/2015) and the GACR grant (GA16-21649S) to DŠ.
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Conflict of Interest
The authors declare that they have no conflict of interest.
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