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PRJEB28730 ERP110976

Gut microbiome time series during cephalosporin exposure

Metagenomic stool samples in time series

Seventeen stool samples from German adults monitored longitudinally during and after ceftriaxone antibiotic treatment. Shotgun metagenomics characterized strain-level taxonomic and functional shifts, including bloom of a previously undescribed Firmicutes species. machine-written summary

17 samples · 29 runs · DE · Adult · 2019 · 7.64 Gbp / sample

Sources
✓Sequence archive 178○Abstract / description○Full text○Supplementary tables–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive178 sample values (antibiotic exposure, collection date, country, intervention, intervention detail, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC6839795
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention · arms resolved

antibioticantibiotic16 samples
single arm: samples on the intervention (no pre-intervention samples labelled)

Antibiotic given as the study intervention (incl. eradication therapy design single_arm_before_after · population healthy_control · Ceftriaxone (cephalosporin antibiotic) challenge, time-series stool sampling pre/post

“commonly prescribed cephalosporin (ceftriaxone)” — abstract:30658995 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult17
Sex
male11
Country
DE17
Body site
primary17
Collected 2012–2015
2012: 2 samples2015: 15 samples20122015
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 14 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 3 samplesall 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 7.64 Gbp per sample0130Gbp
! Self-contradictory metadata

sex differs between samples of the same subject id (1 subjects, 6 samples) — sex withheld.

The sources disagree on 6 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (6)
samplefieldvalueother valuehandling
SAMEA5094805sexfemale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
SAMEA5094806sexfemale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
SAMEA5094807sexfemale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
SAMEA5094808sexfemale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
SAMEA5094809sexfemale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
SAMEA5094810sexmale (sequence archive)subject S2: female in 5 samples, male in 1 samplewithheld: neither value published
Sampling design and relatedness

longitudinal

3 of 4 people sampled more than once (16 samples; median 6, up to 7 per person) · follow-up median 24 d (max 2.7 y) · median interval between samples 3 d (time from collection dates). Schedule stated by the source: “Time-series stool samples per subject (3, 6, 7, or 1 samples) collected around antibiotic intervention; no explicit interval schedule stated” (time origin: intervention_start).

S1S1: day 0S1: day 3S1: day 988S2S2: day 0S2: day 1S2: day 7S2: day 11S2: day 13S2: day 24S3S3: day 0S3: day 3S3: day 5S3: day 8S3: day 9S3: day 10S3: day 110 d8 mo16 mo2.0 y2.7 y

Each row is one person (3 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Phocaeicola 10.4%Parabacteroides 6.1%Faecalibacterium 6.0%Bacteroides 5.5%Borkfalkia 5.5%Vescimonas 3.3%Ruminococcoides 2.8%CAG-170 2.3%Alistipes 2.1%Faecousia 1.9%Roseburia 1.7%Gemmiger 1.6%not assigned to a genus 5.4%other genera 45.5%

Genera, mean relative abundance over 17 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category17 100%
country17 100%17
health_condition0 0%
subject_id17 100%17
collection_date17 100%17
detailed_location17 100%
latitude17 100%17
location_region17 100%17
longitude17 100%17
timepoint_label17 100%17
antibiotic_exposure16 94%16
intervention16 94%16
intervention_detail16 94%16
sex11 65%11
Papers (1)
Details
Archive description

OBJECTIVE: The composition of the healthy human adult gut microbiome is relatively stable over prolonged periods, and representatives of the most highly abundant and prevalent species have been cultured and described. However, microbial abundances can change on perturbations, such as antibiotics intake, enabling the identification and characterisation of otherwise low abundant species. DESIGN: Analysing gut microbial time-series data, we used shotgun metagenomics to create strain level taxonomic and functional profiles. Community dynamics were modelled postintervention with a focus on conditionally rare taxa and previously unknown bacteria. RESULTS: In response to a commonly prescribed cephalosporin (ceftriaxone), we observe a strong compositional shift in one subject, in which a previously unknown species, U Borkfalki ceftriaxensis, was identified, blooming to 92% relative abundance. The genome assembly reveals that this species (1) belongs to a so far undescribed order of Firmicutes, (2) is ubiquitously present at low abundances in at least one third of adults, (3) is opportunistically growing, being ecologically similar to typical probiotic species and (4) is stably associated to healthy hosts as determined by single nucleotide variation analysis. It was the first coloniser after the antibiotic intervention that led to a long-lasting microbial community shift and likely permanent loss of nine commensals. CONCLUSION: The bloom of U B. ceftriaxensis and a subsequent one of Parabacteroides distasonis demonstrate the existence of monodominance community states in the gut. Our study points to an undiscovered wealth of low abundant but common taxa in the human gut and calls for more highly resolved longitudinal studies, in particular on ecosystem perturbations.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “Metagenomic stool samples”
  • life stage study.description · “healthy human adult gut microbiome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA5094802antibiotic_exposureyesR10.85biosample_attrantibiotic
SAMEA5094802collection_date2012-11-09R10.90biosample.attribute:collection_date2012-11-09
SAMEA5094802countryDER10.90sample.attr.geographic_location_country_and_or_seaGermany
SAMEA5094802interventionantibioticR10.90biosample.attribute:drug usagedrug usage: antibiotic
SAMEA5094802intervention_detailantibiotic (cephalosporin) given as study interventionR10.90biosample.attribute:drug usagedrug usage: antibiotic
SAMEA5094802latitude49.4061R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude49.4061 8.684
SAMEA5094802location_regionBaden-WuerttembergR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude49.4061 8.684
SAMEA5094802longitude8.6840R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude49.4061 8.684
SAMEA5094802sexmaleR10.90sample.attr.host_sexmale
SAMEA5094802subject_idS1R10.70sample.name_rule:aliasHD.S1.T374
SAMEA5094802timepoint_label374R10.85sample.attr.timepoint374
Sequencing

29 runs over 17 samples · mean 4.88 Gbp per run (median 5.07 Gbp, total 141.39 Gbp; 29 runs with a base count) · layout PAIRED 29 · platform ILLUMINA 29 · models Illumina HiSeq 2000 (20), Illumina HiSeq 4000 (8), Illumina MiSeq (1) · 93% of runs with a Sandpiper profile · first public 2019-03-14

Authors (24)

Hildebrand F first · Moitinho-Silva L · Blasche S · Jahn MT · Gossmann TI · Huerta-Cepas J · Hercog R · Luetge M · Bahram M · Pryszlak A · Alves RJ · Waszak SM · Zhu A · Ye L · Costea PI · Aalvink S · Belzer C · Forslund SK · Sunagawa S · Hentschel U · Merten C · Patil KR · Benes V · Bork P last

Downloads

PRJEB28730.csv.gz (1.5 KB) · parquet (71.5 KB) — all 17 samples, every field with route and confidence · PRJEB28730_determinations.csv.gz (2.2 KB) — 178 evidence rows

Samples (17 · every field this project has values for · hover a cell for its source)
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