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PRJEB86846 ERP170143

Viral tagging of gut microbes in Crohn's disease, UK

Viral tagging of F. prausnitzii and uncultivated human gut microbes

19 stool samples from UK patients, including Crohn's disease cases, analyzed using viral tagging to identify phage-bacteria pairs; study design was case-control. machine-written summary

19 samples · 19 runs · GB · Age unknown · 2025 · 0.50 Gbp / sample

Sources
✓Sequence archive 158○Abstract / description○Full text✓Supplementary tables 55–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive158 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude, subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC12323421
✓ Supplementary tables55 sample values (family id, family role, sex)
– 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
unknown19
Condition
healthy_control10
crohns_disease9
Sex
female10
male9
Country
GB19
Body site
primary19
Collected 2015–2025
2015: 3 samples2016: 10 samples2017: 4 samples2018: 1 samples2025: 1 samples20152025
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 %)this project, 0.03–0.1 Gbp: 1 samplesall 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: 17 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1 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 0.50 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalhouseholdsmother–infantparent–childpartners / couples

3 of 16 people sampled more than once (6 samples; median 2, up to 2 per person) · follow-up median 8 mo (max 11 mo) · median interval between samples 8 mo (time from collection dates).

HHC-2HHC-2 (father): day 0HHC-2 (father): day 61CD-3CD-3 (partner): day 0CD-3 (partner): day 336HHC-3HHC-3 (partner): day 0HHC-3 (partner): day 2390 d3 mo6 mo8 mo11 mo

Each row is one person (3 shown); dots are samples at days since that person's first sample; rows of one family are adjacent and coloured by role (mother, father, child, twin).

8 Crohn's patients with 8 healthy household controls: 4 spouse pairs, 3 parent-child pairs, 1 unspecified (supp. Table S1) · 8 families with 16 sampled people (3 with a parent and a child).

partnerPtpartnerPt
4 × partner×2
motherMchildC
2 × mother + child
fatherFchildC
1 × father + child
unknown?unknown?
1 × unknown×2
partner: CD-1, HHC-1CD-1 — partner · 1 samplePtCD-1HHC-1 — partner · 1 samplePtHHC-1
father: CD-2, HHC-2HHC-2 father of CD-2CD-2 — child · 1 sampleCCD-2HHC-2 — father · 2 samplesFHHC-2
partner: CD-3, HHC-3CD-3 — partner · 2 samplesPtCD-3HHC-3 — partner · 2 samplesPtHHC-3
mother: CD-4, HHC-4CD-4 mother of HHC-4CD-4 — mother · 1 sampleMCD-4HHC-4 — child · 1 sampleCHHC-4
mother: CD-5, HHC-5HHC-5 mother of CD-5CD-5 — child · 1 sampleCCD-5HHC-5 — mother · 1 sampleMHHC-5
partner: CD-6, HHC-6CD-6 — partner · 1 samplePtCD-6HHC-6 — partner · 1 samplePtHHC-6
partner: CD-7, HHC-7CD-7 — partner · 1 samplePtCD-7HHC-7 — partner · 1 samplePtHHC-7
family 8family 8CD-8 — member · 1 sampleCD-8HHC-8 — member · 1 sampleHHC-8

motherfatherpartnerchildmember · circles are people (pale = no sequenced sample), arrows run donor → recipient and parent → child, curved lines join twins, partners and siblings, squares are shared settings or families without recorded roles. Shown: 7 linked groups from explicit relations · 1 family. 16 people in the project overall.

Families (8)
familymemberssamples
2partner×2SAMEA117810997 · SAMEA117810998 · SAMEA117811008 · SAMEA117811009
1father + childSAMEA117810996 · SAMEA117811006 · SAMEA117811007
3mother + childSAMEA117810999 · SAMEA117811010
4mother + childSAMEA117811001 · SAMEA117811011
5partner×2SAMEA117811002 · SAMEA117811012
6partner×2SAMEA117810995 · SAMEA117811005
7partner×2SAMEA117811003 · SAMEA117811013
8unknown×2SAMEA117811004 · SAMEA117811014

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country19 100%19
health_condition19 100%19
subject_id19 100%19
collection_date19 100%19
detailed_location19 100%
family_id19 100%19
health_condition_detail19 100%19
latitude19 100%19
location_region19 100%19
longitude19 100%19
sex19 100%19
family_role17 89%17
timepoint_label6 32%6
Papers (1)
  • Single cell viral tagging of <i>Faecalibacterium prausnitzii</i> reveals rare bacteriophages omitted by other techniques. 2025 PMID 40754853 PMC12323421 own_data
Details
Archive description

The associations of the gut microbiome and virome with human health and disease are increasingly numerous and clear. The mechanistic roles of bacteriophages (phages) in the microbiome, however, are especially unclear, as their cultivation is exceedingly difficult and their diversity so immense. We use viral tagging (VT), a culture-independent cell sorting technique, for identifying interacting phage-bacteria pairs to better sample and characterize the phages in human stool samples from healthy and inflammatory bowel disease (IBD)-affected patients. First, we apply VT to uncultivated bacteria from a healthy human sample, demonstrating far-reaching ability to observe diverse bacteria and phages alike. We also use VT with a cultured Faecalibacterium prausnitzii isolate, a bacterial host of interest due to its anti-inflammatory effects and strong negative correlation with IBD. Comparing VT with virome sequencing and phage identification from single amplified genomes shows that it is a practical technique for phage discovery, especially when it is used to focus on particular bacterial cultivars for which genomes have been sequenced. VT is able to detect phages so rare as to be undetectable in standard virome sequencing, which is biased toward the most abundant phage species even at high sequencing depth. Remarkably, VT also identified novel prophage integration events in F. prausnitzii, demonstrating that VT interactions can extend beyond the level of surface attachment and constitute active infection events. In total, VT identified at least 328 unique and highly diverse phage-host pairs, almost all of which are entirely uncharacterized, and several phages that are differentially abundant in IBD patients compared to healthy controls. Taken together, we show that VT is an extremely powerful tool to move beyond the cultivation and abundance biases inherent to current techniques, and suggest that the phage-host pairs identified by VT here are crucial first step to enable future mechanistic studies of phage-bacteria-human interactions.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “human stool samples from healthy and inflammatory bowel disease”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA117810995collection_date2015-05-22R10.90biosample.attribute:collection_date2015-05-22
SAMEA117810995countryGBR10.90sample.attr.geographic_location_country_and_or_seaUnited Kingdom
SAMEA117810995family_id6R20.85paper.supp.KGMI_A_2526719_SM1961.xlsx[S1_Samples!Household ID]Household ID 6
SAMEA117810995family_rolepartnerR20.85paper.supp.KGMI_A_2526719_SM1961.xlsx[S1_Samples!Relationship to Matched Subject]Relationship to Matched Subject: Husband
SAMEA117810995health_conditioncrohns_diseaseR10.70sample.name_rule:descriptionCrohns disease sample CD-1
SAMEA117810995health_condition_detailCrohns disease sample (description field, e.g. 'Crohns disease sample CD-1')R10.70sample.name_rule:descriptionCrohns disease sample CD-1
SAMEA117810995latitude52.1750R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.17504583 0.14159677
SAMEA117810995location_regionEnglandR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude52.17504583 0.14159677
SAMEA117810995longitude0.1416R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.17504583 0.14159677
SAMEA117810995sexmaleR20.80paper.supp.KGMI_A_2526719_SM1961.xlsx[S1_Samples!Sex]Male
SAMEA117810995subject_idCD-1R10.70sample.name_rule:descriptionCrohns disease sample CD-1
SAMEA117810997timepoint_labelAR10.70sample.name_rule:descriptionCrohns disease sample CD-3A
Sequencing

19 runs over 19 samples · mean 0.54 Gbp per run (median 0.50 Gbp, total 10.19 Gbp; 19 runs with a base count) · layout PAIRED 19 · platform ILLUMINA 19 · models Illumina MiSeq (19) · 0% of runs with a Sandpiper profile · first public 2025-03-11

Authors (13)

Campbell DE first · Wu X · Hall LR · Lawrence D · Molleston JM · Schriefer LA · Droit L · Weagley JS · Olson BS · Rimmer J · Parkes M · Handley SA · Baldridge MT last

Downloads

PRJEB86846.csv.gz (1.6 KB) · parquet (71.9 KB) — all 19 samples, every field with route and confidence · PRJEB86846_determinations.csv.gz (3.0 KB) — 213 evidence rows

Samples (19 · every field this project has values for · hover a cell for its source)
Loading the sample table…