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PRJNA856821 SRP386612

Culturomics vs metagenomics in human gut microbiome

Integration of culture-dependent and independent methods provides a more comprehensive picture of the human gut microbiome than either method alone

13 fecal samples from children were analyzed by comparing culture-dependent (colony picking, culture-enriched metagenomics) and culture-independent metagenomic sequencing to characterize gut microbiota; cross-sectional design. machine-written summary

13 samples · 13 runs · CN · Age unknown · 2024 · 6.70 Gbp / sample

Sources
✓Sequence archive 52✓Abstract / description 13✓Full text 39○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 archive52 sample values (collection date, latitude, location region, longitude)
✓ Abstract / description13 sample values (subject id)
✓ Full text39 sample values (antibiotic exposure, country, lifestyle) · PMC12039119
○ 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 not resolved

design observational_with_procedure

Samples at a glance
1 sampling locations · 1 country
Age
child13
Country
CN13
Body site
primary13
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: 13 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 6.70 Gbp per sample0130Gbp
Community composition
Sarcina 23.0%Escherichia 18.0%Lactococcus 13.8%Psychrobacter 13.7%Limosilactobacillus 4.8%Mammaliicoccus 4.0%Prevotella 3.9%Ligilactobacillus 3.3%Acinetobacter 1.7%Enterococcus 1.5%Vagococcus 1.5%Bifidobacterium 1.4%not assigned to a genus 2.0%other genera 7.3%

Genera, mean relative abundance over 12 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category13 100%
country13 100%13
health_condition0 0%
subject_id13 100%13
antibiotic_exposure13 100%13
collection_date13 100%13
detailed_location13 100%
latitude13 100%13
lifestyle13 100%13
location_region13 100%13
longitude13 100%13
Papers (1)
  • Comparative analysis of three experimental methods for revealing human fecal microbial diversity. 2025 PMID 40301726 PMC12039119 own_data
Details
Archive description

This study showed that a combination of culturomics and sequencing approaches can more effectively characterise the gut microbiota than either method alone. Culture restored some low-abundance bacterial species in the gut the CEMP approach provides a basis for the design of culture media to produce new microorganisms, and for the targeted screening of bacterial strains. CEMP will also allow for functional characterisation of bacterial populations, which will contribute to elucidation of their biological activity during host_bacteria and bacterial interactions in of the context of healthy and diseased states, and facilitate faecal transplantation. We also found that ECP missed most of the bacterial species present in culture media, therefore, the number of colonies collected during ECP should be expanded in future studies.

How this project entered the registry

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

  • host study.title · “human gut microbiome”
  • host run.host_tax_id · “9606”
  • body site study.title · “human gut microbiome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN29590851antibiotic_exposurenoR30.70paper.fulltext.methodsnot used antibiotics or probiotics within 6 months
SAMN29590851collection_date2019-08-01/2019-08-30R10.90biosample.attribute:collection_date2019-08-01/2019-08-30
SAMN29590851countryCNR30.70paper.fulltext.methodsHulunbuir Ewenki Banner, Inner Mongolia
SAMN29590851latitude49.1400R10.90biosample.attribute:lat_lon49.14 N 119.76 E
SAMN29590851lifestylepastoralistR30.90paper.fulltext.methodstraditional animal husbandry village
SAMN29590851location_regionInner MongoliaR10.60biosample.attribute:lat_lon49.14 N 119.76 E
SAMN29590851longitude119.7600R10.90biosample.attribute:lat_lon49.14 N 119.76 E
SAMN29590851subject_idPRJNA856821R40.65design.single_subject:abstractIn this study, one fresh fecal sample was cultured using 12 commercial or modified media
Sequencing

13 runs over 13 samples · mean 6.73 Gbp per run (median 6.70 Gbp, total 87.44 Gbp; 13 runs with a base count) · layout PAIRED 13 · platform ILLUMINA 13 · models Illumina HiSeq 2500 (13) · 92% of runs with a Sandpiper profile · first public 2024-06-30

Authors (5)

Yao C first · Zhang Y · You L · E J · Wang J last

Downloads

PRJNA856821.csv.gz (1.2 KB) · parquet (70.3 KB) — all 13 samples, every field with route and confidence · PRJNA856821_determinations.csv.gz (1.6 KB) — 104 evidence rows

Samples (13 · every field this project has values for · hover a cell for its source)
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