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Dynamics of the Gut Microbiome in Shigella-Infected Children During the First Two Years of Life
UMB Dataset

UID: 183

Author(s): Esther Ndungo, Johanna B. Holm, Syze Gama, Andrea G. Buchwald, Sharon M. Tennant, Miriam K. Laufer, Marcela F. Pasetti*, David A. Rasko* * Corresponding Author
Description
This dataset was used to overview the taxonomic composition of the gastrointestinal microbiomes during the first two years of life with the intent to better understand the effects of the invasive pathogen, Shigella. Data was collected through a two year longitudinal study of a mother-infant cohort in Malawi, using 16S rRNA amplicon sequencing to characterize the gastrointestinal microbiota. Rectal swab samples were collected every 6 six months during well-child visits or when an infant visiting the clinic presented diarrhea to diagnose Shigella infection. 16S rRNA gene amplicon libraries yielded an average of 23,720 reads per sample with a total of 8,729,027 reads and a total of 325 taxa were identified after quality filtering.
Timeframe
2016 - 2018
Geographic Coverage
Malawi
Subject of Study
Subject Domain
Population Age
Infant (1 to 23 months of age)
Infant, Newborn (first 28 days after birth)
Keywords
Access via NCBI SRA

Raw sequencing data
Accession #: PRJNA834726

Access via Supplemental Material

Datasets, figures, and tables

Access Restrictions
Unrestricted access
Access Instructions
All of the raw sequencing data were deposited into NCBI SRA under BioProject ID PRJNA834726. Additional data supporting the article are present in the Supplementary Materials.
Associated Publications
Data Type
Equipment Used
DNA/RNA Shield
Hamilton StarPlus Automated Liquid Handler
QIAamp DNA Stool Extraction Kit
Qiagen Microbiome RNA/DNA isolation kit
Qiagen Tissue Lyser II
Software Used
DADA2 v1.5.2
QIIME
Ribosomal Database Project (RDP) Classifier
Silva v138
TagCleaner v0.16
Study Type
Longitudinal
Dataset Format(s)
XLSX, FASTQ
Dataset Size
8082 Mb
Grant Support
R01AI117734/NIH
R01AI125841/NIH
T32DK067872/NIH
3R01AI117734-04S1/NIH
1UL1TR003098/National Center for Advancing Translational Sciences (U.S.)