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PRJEB9150 ERP010229

Gut microbiota succession after cholera/ETEC diarrhea, Bangladesh

Gut microbial succession follows acute secretory diarrhea in humans

Longitudinal cohort of 49 gut metagenome samples from Bangladesh, comparing individuals with acute secretory diarrhea (V. cholerae or ETEC infection, n=40) to healthy controls (n=9), tracking microbial community succession during recovery. machine-written summary

49 samples · 49 runs · BD · Infant / toddler · 2015 · 0.61 Gbp / sample

Sources
✓Sequence archive 49✓Abstract / description 2○Full text✓Supplementary tables 98✓External resources 94–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive49 sample values (country)
✓ Abstract / description2 sample values (health condition)
○ Full textread; no usable statement or table · PMC9512645
✓ Supplementary tables98 sample values (subject id, timepoint)
✓ External resources94 sample values (health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown49
Condition
gi_infection_or_diarrhoea40
healthy_control9
Country
BD49
Body site
primary49
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 5 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 3 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 6 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 22 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 11 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 0.61 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

9 of 28 people sampled more than once (30 samples; median 3, up to 4 per person) · follow-up median 27 d (max 30 d) · median interval between samples 14 d (time from timepoint labels). Schedule stated by the source: “Longitudinal cohort tracking gut microbial succession during recovery from acute secretory diarrhea (cholera or ETEC) over time after infection.” (time origin: diagnosis).

1-B-01-B-0: day 01-B-0: day 41-B-0: day 251-C-01-C-0: day 01-C-0: day 51-C-0: day 51-C-0: day 281-D-01-D-0: day 01-D-0: day 41-D-0: day 271-D-0: day 271-E-01-E-0: day 01-E-0: day 51-E-0: day 271-F-01-F-0: day 01-F-0: day 01-F-0: day 51-F-0: day 261-G-01-G-0: day 01-G-0: day 41-G-0: day 291-H-01-H-0: day 01-H-0: day 51-H-0: day 271-I-01-I-0: day 01-I-0: day 51-I-0: day 261-J-01-J-0: day 01-J-0: day 61-J-0: day 300 d8 d15 d22 d30 d

Each row is one person (9 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 24.8%Escherichia 10.0%Vibrio 6.4%Streptococcus 5.2%Bacteroides 3.9%Alloprevotella 2.7%Fenollaria 2.4%Porphyromonas_A 2.3%Anaerococcus 2.2%Faecalibacterium 1.9%Peptoniphilus_A 1.7%Roseburia 1.5%not assigned to a genus 13.0%other genera 22.2%

Genera, mean relative abundance over 38 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country49 100%49
health_condition49 100%472
subject_id49 100%49
timepoint_label49 100%49
health_condition_detail47 96%47
Papers (2)
  • Gut microbe metabolism of small molecules supports human development across the early stages of life. PMID 36177457 PMC9512645 curated
  • Exploring the vitamin biosynthesis landscape of the human gut microbiota. PMID 39287373 PMC11494892 curated
Details
Archive description

Disability after childhood diarrhea is an important burden on global productivity. Recent studies suggest that gut bacterial communities influence how humans recover from infectious diarrhea, but we still lack extensive data and mechanistic hypotheses for how these communities respond to diarrheal disease and its treatment. Here, we report that after V. cholerae infection, human gut microbiota undergo an orderly and reproducible succession featuring transient reversals in relative levels of enteric Bacteroides and Prevotella. Elements of this succession may be a common feature in microbiota recovery from acute secretory diarrhea, as we observed similar successional dynamics after enterotoxigenic Escherichia coli (ETEC) infection. Our metagenomic analyses suggest multiple mechanisms driving microbial succession after cholera, including bacterial dispersal properties, changing enteric oxygen and carbohydrate levels, and phage dynamics. Thus, gut microbiota recovery after cholera may be predictable at the level of community structure, but driven by a complex set of temporally varying ecological processes. Our findings suggest opportunities for diagnostics and therapies targeting the gut microbiota in humans recovering from infectious diarrhea.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler and child by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “Gut microbial succession follows”
  • body site study.description · “studies suggest that gut bacterial communities influence”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.description · “Disability after childhood diarrhea is an”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA3360657countryBDR10.90biosample_attrBangladesh
SAMEA3360657health_conditiongi_infection_or_diarrhoeaR20.75external.cmd sourcedisease: Diarrhea;Cholera
SAMEA3360685health_conditiongi_infection_or_diarrhoeaR40.45study.descriptionafter V. cholerae infection, human gut microbiota
SAMEA3360657health_condition_detailDiarrhea;CholeraR20.75external.cmd sourcedisease: Diarrhea;Cholera
SAMEA3360657subject_id1-C-0R20.85paper.supp.mbo002152307st2.xlsx[Table S2!Cohort+Household+Subject/Contact]LD-Run1-01 | Cohort 1 | Household C | Subject/Contact 0 | day 1
SAMEA3360657timepoint_labelday 1R20.85paper.supp.mbo002152307st2.xlsx[Table S2!Sample day (dpp)]LD-Run1-01 | Cohort 1 | Household C | Subject/Contact 0 | day 1
Sequencing

49 runs over 49 samples · mean 0.88 Gbp per run (median 0.61 Gbp, total 43.26 Gbp; 49 runs with a base count) · layout PAIRED 49 · platform ILLUMINA 49 · models Illumina HiSeq 2500 (37), Illumina HiSeq 2000 (12) · 78% of runs with a Sandpiper profile · first public 2015-04-29

Authors (9)

Tarracchini C first · Fontana F · Mancabelli L · Lugli GA · Alessandri G · Turroni F · Ventura M · Milani C last · van Sinderen D

Downloads

PRJEB9150.csv.gz (2.3 KB) · parquet (71.4 KB) — all 49 samples, every field with route and confidence · PRJEB9150_determinations.csv.gz (3.4 KB) — 243 evidence rows

Samples (49 · every field this project has values for · hover a cell for its source)
Loading the sample table…