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PRJNA215106 SRP029439

Pediatric Fecal Metagenome for Antibiotic Resistance

Pediatric Fecal Metagenome

22 fecal metagenome samples from healthy children (infants, children, adolescents) in Seattle, WA, used in a case series of functional metagenomic selections to identify antibiotic resistance genes via E. coli library screening. machine-written summary

22 samples · 169 runs · US · Infant / toddler · 2014 · 1.37 Gbp / sample

Sources
✓Sequence archive 88○Abstract / description○Full text✓Supplementary tables 10✓External resources 44–User contribution–Human verified

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

what each source gave
✓ Sequence archive88 sample values (age, collection date, country, subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10269646, PMC11494892, PMC12769767, PMC3827270, PMC9512645
✓ Supplementary tables10 sample values (timepoint)
✓ External resources44 sample values (health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
child10
infant10
adolescent2
Condition
healthy_control22
Country
US22
Body site
primary22
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 %)this project, 0.3–1 Gbp: 4 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 14 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 4 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 1.37 Gbp per sample0130Gbp
Community composition
Dialister 3.9%CAG-170 2.8%Alistipes 2.6%Prevotella 2.5%Blautia_A 2.1%Bifidobacterium 2.1%CAG-488 1.4%Limisoma 1.4%Vescimonas 1.3%Collinsella 1.3%Akkermansia 0.8%CAG-177 0.7%not assigned to a genus 71.8%other genera 5.3%

Genera, mean relative abundance over 1 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category22 100%
country22 100%22
health_condition22 100%22
subject_id22 100%22
age_at_collection_days22 100%22
collection_date22 100%22
health_condition_detail22 100%22
timepoint_label10 45%10
Papers (5)
  • Pediatric fecal microbiota harbor diverse and novel antibiotic resistance genes. PMID 24236055 PMC3827270 curated
  • Gut microbe metabolism of small molecules supports human development across the early stages of life. PMID 36177457 PMC9512645 curated
  • Exploring Molecular Interactions between Human Milk Hormone Insulin and Bifidobacteria. PMID 37191543 PMC10269646 curated
  • Exploring the vitamin biosynthesis landscape of the human gut microbiota. PMID 39287373 PMC11494892 curated
  • Compiling an early life human gut microbiome atlas and identification of key microbial drivers. PMID 41350579 PMC12769767 curated
Details
Archive description

Functional metagenomic selections were performed from various pediatric fecal metagenomes, enriched for children in the first two years of life. A major goal was to understand how antibiotic resistance genes establish and propagate among developing intestinal microbiomes. Fecal metagenomic DNA was cloned into an E. coli library and subjected to selections for antibiotic resistance. After selection, resistance-conferring fragments (the only fragments conferring survival to E. coli in the presence of the drugs) were PCR-amplified, sequenced, and assembled.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler by sonnet_x2 with confidence 0.68. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “Pediatric Fecal Metagenome”
  • life stage study.description · “children in the first two years of life”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN02317157age_at_collection_days3105R10.90sample.attr.host_age8.5 y
SAMN02317158age_at_collection_days548R10.90biosample_attr1.5 y
SAMN02317157collection_date2001R10.85biosample.attribute:collection_datecollection_date: 2001
SAMN02317157countryUSR10.90biosample_attrUSA: Seattle,WA
SAMN02317157health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN02317157health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN02317157subject_idF04R10.85biosample.attribute:misc_parammisc_param: F04
SAMN02317158timepoint_labelpost-weaningR20.75paper.supp.tableTime Group=post-weaning
Sequencing

169 runs over 22 samples · mean 0.23 Gbp per run (median 0.16 Gbp, total 39.52 Gbp; 169 runs with a base count) · layout PAIRED 169 · platform ILLUMINA 169 · models Illumina Genome Analyzer IIx (169) · 1% of runs with a Sandpiper profile · first public 2014-04-15

Authors (27)

Moore AM first · Patel S · Forsberg KJ · Wang B · Bentley G · Razia Y · Qin X · Tarr PI · Dantas G last · Tarracchini C first · Fontana F · Mancabelli L · Lugli GA · Alessandri G · Turroni F · Ventura M · Milani C last · Rizzo SM first · Viappiani A · Bianchi MG · Bussolati O · van Sinderen D · Longhi G · Gennaioli E · Muscò A · Vitale SG · Angioni S

Downloads

PRJNA215106.csv.gz (1.6 KB) · parquet (70.7 KB) — all 22 samples, every field with route and confidence · PRJNA215106_determinations.csv.gz (2.2 KB) — 142 evidence rows

Samples (22 · every field this project has values for · hover a cell for its source)
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