Abstract
The infant gut microbiome has lifelong implications on health and immunity but there is still limited understanding of the microbiome differences and similarities between children in low- and middle-income countries (LMICs) vs. high-income countries (HICs). Here, we describe and compare the microbiome profile of children aged under 48 months in two urban areas: Maputo, Mozambique and Atlanta, USA using shotgun metagenomics. The gut microbiome of American children showed distinct development, characterized by higher alpha diversity after infancy, compared to the same age group of African children, and the microbiomes clustered separately based on geographic location or age. The abundances of antibiotic resistance genes (ARGs) and virulence factors (VFs) were significantly higher in Maputo children, driven primarily by several primary and opportunistic pathogens. Most notably, about 50% of Maputo children under the age of two were positive for enterotoxigenic (ETEC) and typical enteropathogenic (EPEC) Escherichia coli diagnostic genes while none of the Atlanta age-matched children showed such a positive signal. In contrast, commensal species such as Phocaeicola vulgatus and Bacteroides caccae were more abundant in Atlanta, potentially reflecting diets rich in animal protein and susceptibility to inflammatory diseases. Overall, our results suggest that the different environments characterizing the two cities have significant, distinctive signatures on the microbiota of children and its development over time. Lack of safe water, sanitation, and hygiene (WASH) conditions and/or unsafe food sources may explain the higher enteric pathogen load among children in Maputo.
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Details
; Rodriguez-R, Luis M. 2
; Hatt, Janet K. 3 ; Kayali, Osman 4
; Nalá, Rassul 5 ; Dunlop, Anne L. 6
; Brennan, Patricia A. 7
; Corwin, Elizabeth 8 ; Smith, Alicia K. 9 ; Brown, Joe 10
; Konstantinidis, Konstantinos T. 11
1 Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943); Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083)
2 University of Innsbruck, Department of Microbiology and Digital Science Center (DiSC), Innsbruck, Austria (GRID:grid.5771.4) (ISNI:0000 0001 2151 8122)
3 Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943)
4 Georgia Institute of Technology, School of Biological Sciences, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943)
5 Instituto Nacional de Saúde, Marracuene, Mozambique (GRID:grid.419229.5)
6 Emory University School of Medicine, Department of Gynecology and Obstetrics, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
7 Emory University, Department of Psychology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
8 Columbia University, School of Nursing, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729)
9 Emory University, Department of Gynecology and Obstetrics, Department of Psychiatry and Behavioral Sciences, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
10 University of North Carolina at Chapel Hill, North, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, Carolina, USA (GRID:grid.10698.36) (ISNI:0000000122483208)
11 Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943); Georgia Institute of Technology, School of Biological Sciences, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943)





