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PRJNA688274 SRP299564

Dutch travelers' gut resistome before and after travel

Netherland Travelers

614 fecal samples from 190 Dutch adults, elderly, and infants in Amsterdam, Maastricht, or Rotterdam, collected before and after international travel in a longitudinal study of gut antimicrobial resistance gene acquisition. machine-written summary

614 samples · 614 runs · NL · Adult · 2021 · 1.18 Gbp / sample · cohort Destination shapes antibiotic resistance gene acqu

Sources
✓Sequence archive 6,296✓Abstract / description 844✓Full text 12○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 archive6,296 sample values (age, antibiotic exposure, bmi, collection date, country, health condition, health condition detail, latitude)
✓ Abstract / description844 sample values (health condition, health condition detail)
✓ Full text12 sample values (antibiotic exposure) · PMC8182900, PMC8993065
○ 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
Samples at a glance
1 sampling locations · 1 country
Age
adult572
elderly42
Condition
healthy_control610
other_disease4
Sex
female218
male162
Country
NL614
Body site
primary614
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 %)this project, 0.1–0.3 Gbp: 11 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 233 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 370 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all 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 1.18 Gbp per sample0130Gbp
! Self-contradictory metadata

age: two sequence archives disagree for 4 samples (e.g. 58.0 vs 21487.7) — withheld.

The sources disagree on 4 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 (4)
samplefieldvalueother valuehandling
SAMN17171395age58.0 (sequence archive)21487.7 (sequence archive)withheld: neither value published
SAMN17171396age58.0 (sequence archive)21487.7 (sequence archive)withheld: neither value published
SAMN17171441age56.2 (sequence archive)20523.0 (sequence archive)withheld: neither value published
SAMN17171442age56.2 (sequence archive)20523.0 (sequence archive)withheld: neither value published
Sampling design and relatedness

longitudinal — not resolved

190 of 190 people sampled more than once (380 samples; median 2, up to 2 per person). Schedule stated by the source: “pre-travel and post-travel fecal samples (2 timepoints)” (time origin: travel_departure).

How longitudinal and relatedness information is derived

Community composition
Escherichia 9.8%Bacteroides 8.2%Prevotella 6.5%Phocaeicola 6.4%Roseburia 5.1%Blautia_A 4.4%Faecalibacterium 4.3%Ruminococcoides 3.0%Bifidobacterium 1.7%Alistipes 1.5%Gemmiger 1.4%Parabacteroides 1.3%not assigned to a genus 14.1%other genera 32.2%

Genera, mean relative abundance over 338 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category614 100%
country614 100%614
health_condition614 100%4610
subject_id380 62%380
antibiotic_exposure614 100%60212
collection_date614 100%614
detailed_location614 100%
health_condition_detail614 100%380234
latitude614 100%614
location_region614 100%614
longitude614 100%614
timepoint_label614 100%614
sex380 62%380
age_at_collection_days376 61%376
bmi372 61%372
medication118 19%118
Papers (2)
  • Destination shapes antibiotic resistance gene acquisitions, abundance increases, and diversity changes in Dutch travelers. 2021 PMID 34092249 PMC8182900 own_data
  • Enterobacteriaceae and Bacteroidaceae provide resistance to travel-associated intestinal colonization by multi-drug resistant Escherichia coli. 2022 PMID 35388735 PMC8993065 own_data
Details
Archive description

Understand effects of travel on the gut resistome.

How this project entered the registry

Classified as human gut / stool mixed assays of adult by sonnet_x2 with confidence 0.57. Assay mixed.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.description · “effects of travel on the gut resistome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN17171223age_at_collection_days25675.0R10.70sample.attr.age70.2943189596167
SAMN17171223antibiotic_exposurenoR10.90biosample_attrNo
SAMN17171241antibiotic_exposurenoR30.70paper.fulltext.methodsconsumed antibiotics in the 3 months before travel
SAMN17171223bmi20.55R10.90sample.attr.bmi20.5498866213151
SAMN17171223collection_date2012-11/2013-11R10.90biosample.attribute:collection_date2012-11/2013-11
SAMN17171223countryNLR10.90sample.attr.geo_loc_nameNetherlands: Amsterdam, Maastricht, or Rotterdam
SAMN17171483health_conditionother_diseaseR10.60biosample_attrYes
SAMN17171223health_conditionhealthy_controlR40.50paper.abstractbefore and after travel to diverse international locations
SAMN17171223health_condition_detailchronic gi disease: noR10.85sample.attr.chronic_gi_diseaseNo
SAMN17804153health_condition_detailinternational travelers visiting Africa or AsiaR40.50paper.abstractbefore and after travel to diverse international locations
SAMN17171223latitude52.3676R10.90biosample.attribute:lat_lon52.3676 N 4.9041 E
SAMN17171223location_regionNorth HollandR10.60biosample.attribute:lat_lon52.3676 N 4.9041 E
SAMN17171223longitude4.9041R10.90biosample.attribute:lat_lon52.3676 N 4.9041 E
SAMN17171243medicationother_medicationR10.90biosample.attribute:ant_diarrhoeal_drug_useYes
SAMN17171285medicationcorticosteroidR10.90biosample.attribute:corticosteroid_useYes
SAMN17171223sexfemaleR10.90sample.attr.sexfemale
SAMN17171223subject_idS003R10.85sample.attr.subject_idS003
SAMN17171223timepoint_labelPre-travelR10.85sample.attr.timepointPre-travel
Sequencing

614 runs over 614 samples · mean 1.08 Gbp per run (median 1.18 Gbp, total 662.60 Gbp; 614 runs with a base count) · layout PAIRED 614 · platform ILLUMINA 614 · models NextSeq 500 (614) · 55% of runs with a Sandpiper profile · first public 2021-03-29

Authors (33)

D'Souza AW first · Boolchandani M · Patel S · Galazzo G · van Hattem JM · Arcilla MS · Melles DC · de Jong MD · Schultsz C · COMBAT Consortium · Dantas G · Penders J last · Davies M first · Wolffs P · McNally A · Schaik WV · Mancabelli L first · Milani C · De Biase R · Bocchio F · Fontana F · Lugli GA · Alessandri G · Tarracchini C · Viappiani A · De Conto F · Nouvenne A · Ticinesi A · Bussolati O · Meschi T · Cecchi R · Turroni F · Ventura M last

Downloads

PRJNA688274.csv.gz (17.6 KB) · parquet (96.3 KB) — all 614 samples, every field with route and confidence · PRJNA688274_determinations.csv.gz (46.2 KB) — 7,152 evidence rows

Samples (614 · every field this project has values for · hover a cell for its source)
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