PRJEB102033 ERP183436
Gut microbiome in US hospitalized patients and healthy donors
Lantibiotic-producing bacteria impact microbiome resilience and colonization resistance
1877 fecal samples from healthy donors and liver disease, liver transplant, heart transplant, and MICU patients in the USA, studying lanthipeptide/lantibiotic-producing bacteria; cross-sectional design. machine-written summary
1,877 samples · 1,877 runs · US · Age unknown · 2025 · 2.08 Gbp / sample
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Sources
✓ Sequence archive 16,210 ✓ Abstract / description 333 ○ 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 archive16,210 sample values (collection date, country, health condition, health condition detail, location locality, location region, location site, subject id) ✓ Abstract / description333 sample values (health condition detail) ○ Full textread; no usable statement or table · PMC12766783 ○ 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
Other administered intervention (see intervention_detail) design observational_with_procedure · Mouse gavage with lantibiotic-producing Blautia pseudococcoides SCSK after antibiotic dysbiosis
“BpSCSK administration prevents intestinal recolonization by a wide range of commensal species” — abstract:41330369 (study level; per-sample arms are in the intervention column below)
Samples at a glance
Condition
other_disease 662
liver_disease 571
transplant_or_immunocompromised 311
Collected 2020–2021
2020: 464 samples 2021: 1,413 samples 2020 2021 Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %) this project, 0–0.03 Gbp: 18 samples all projects, 0.03–0.1 Gbp: 17,066 samples (3 %) this project, 0.03–0.1 Gbp: 16 samples all projects, 0.1–0.3 Gbp: 29,179 samples (5 %) this project, 0.1–0.3 Gbp: 23 samples all projects, 0.3–1 Gbp: 47,044 samples (8 %) this project, 0.3–1 Gbp: 91 samples all projects, 1–3 Gbp: 124,983 samples (22 %) this project, 1–3 Gbp: 1,384 samples all projects, 3–10 Gbp: 253,728 samples (44 %) this project, 3–10 Gbp: 339 samples all projects, 10–30 Gbp: 72,533 samples (13 %) this project, 10–30 Gbp: 6 samples 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 2.08 Gbp per sample 0 1 30 Gbp
Sampling design and relatedness
longitudinal
399 of 628 people sampled more than once (1,648 samples; median 3, up to 20 per person) · follow-up median 13 d (max 16 mo) · median interval between samples 4 d (time from collection dates) .
Schedule stated by the source: “Human fecal samples collected repeatedly per patient across up to 32 distinct timepoint labels (subject_id coverage 628 distinct across 1877 samples); exact calendar offsets not given per patient.”.
Patient_102 Patient_102: day 0 Patient_102: day 6 Patient_102: day 8 Patient_102: day 10 Patient_102: day 16 Patient_102: day 16 Patient_102: day 19 Patient_102: day 20 Patient_102: day 21 Patient_102: day 173 Patient_102: day 174 Patient_102: day 175 Patient_102: day 188 Patient_102: day 194 Patient_149 Patient_149: day 0 Patient_149: day 1 Patient_149: day 3 Patient_149: day 5 Patient_149: day 6 Patient_149: day 7 Patient_149: day 8 Patient_149: day 14 Patient_149: day 31 Patient_149: day 45 Patient_149: day 64 Patient_149: day 79 Patient_149: day 86 Patient_149: day 179 Patient_198 Patient_198: day 0 Patient_198: day 0 Patient_198: day 2 Patient_198: day 2 Patient_198: day 4 Patient_198: day 8 Patient_198: day 12 Patient_198: day 16 Patient_198: day 25 Patient_198: day 29 Patient_267 Patient_267: day 0 Patient_267: day 2 Patient_267: day 4 Patient_267: day 7 Patient_267: day 16 Patient_267: day 18 Patient_267: day 22 Patient_267: day 23 Patient_267: day 26 Patient_274 Patient_274: day 0 Patient_274: day 2 Patient_274: day 3 Patient_274: day 6 Patient_274: day 12 Patient_274: day 17 Patient_274: day 20 Patient_274: day 26 Patient_283 Patient_283: day 0 Patient_283: day 15 Patient_283: day 24 Patient_283: day 52 Patient_283: day 86 Patient_283: day 112 Patient_283: day 178 Patient_283: day 241 Patient_284 Patient_284: day 0 Patient_284: day 1 Patient_284: day 1 Patient_284: day 5 Patient_284: day 10 Patient_284: day 15 Patient_284: day 23 Patient_284: day 43 Patient_284: day 78 Patient_327 Patient_327: day 0 Patient_327: day 17 Patient_327: day 18 Patient_327: day 22 Patient_327: day 41 Patient_327: day 42 Patient_327: day 44 Patient_327: day 48 Patient_335 Patient_335: day 0 Patient_335: day 5 Patient_335: day 6 Patient_335: day 8 Patient_335: day 12 Patient_335: day 14 Patient_335: day 50 Patient_335: day 165 Patient_335: day 379 Patient_335: day 399 Patient_335: day 399 Patient_335: day 401 Patient_335: day 405 Patient_335: day 406 Patient_335: day 420 Patient_335: day 433 Patient_335: day 464 Patient_335: day 469 Patient_350 Patient_350: day 0 Patient_350: day 1 Patient_350: day 38 Patient_350: day 47 Patient_350: day 50 Patient_350: day 52 Patient_350: day 54 Patient_350: day 56 Patient_350: day 57 Patient_361 Patient_361: day 0 Patient_361: day 8 Patient_361: day 17 Patient_361: day 29 Patient_361: day 57 Patient_361: day 85 Patient_361: day 155 Patient_361: day 155 Patient_361: day 156 Patient_361: day 209 Patient_373 Patient_373: day 0 Patient_373: day 3 Patient_373: day 5 Patient_373: day 6 Patient_373: day 8 Patient_373: day 18 Patient_373: day 27 Patient_373: day 29 Patient_373: day 36 Patient_373: day 41 Patient_394 Patient_394: day 0 Patient_394: day 2 Patient_394: day 25 Patient_394: day 31 Patient_394: day 32 Patient_394: day 33 Patient_394: day 36 Patient_394: day 38 Patient_399 Patient_399: day 0 Patient_399: day 1 Patient_399: day 2 Patient_399: day 3 Patient_399: day 10 Patient_399: day 11 Patient_399: day 22 Patient_399: day 26 Patient_399: day 103 Patient_399: day 163 Patient_399: day 171 Patient_399: day 172 Patient_399: day 188 Patient_399: day 190 Patient_407 Patient_407: day 0 Patient_407: day 8 Patient_407: day 9 Patient_407: day 11 Patient_407: day 14 Patient_407: day 14 Patient_407: day 16 Patient_407: day 19 Patient_407: day 21 Patient_407: day 26 Patient_407: day 28 Patient_407: day 31 Patient_407: day 51 Patient_407: day 52 Patient_407: day 59 Patient_495 Patient_495: day 0 Patient_495: day 63 Patient_495: day 83 Patient_495: day 137 Patient_495: day 145 Patient_495: day 153 Patient_495: day 163 Patient_495: day 217 Patient_495: day 219 Patient_495: day 242 Patient_495: day 243 Patient_495: day 256 Patient_495: day 257 Patient_495: day 295 Patient_495: day 306 Patient_495: day 310 Patient_495: day 315 Patient_511 Patient_511: day 0 Patient_511: day 3 Patient_511: day 7 Patient_511: day 8 Patient_511: day 9 Patient_511: day 12 Patient_511: day 13 Patient_511: day 14 Patient_511: day 19 Patient_514 Patient_514: day 0 Patient_514: day 3 Patient_514: day 4 Patient_514: day 24 Patient_514: day 30 Patient_514: day 38 Patient_514: day 44 Patient_514: day 55 Patient_514: day 59 Patient_514: day 64 Patient_514: day 68 Patient_514: day 74 Patient_514: day 75 Patient_514: day 78 Patient_514: day 87 Patient_519 Patient_519: day 0 Patient_519: day 4 Patient_519: day 4 Patient_519: day 5 Patient_519: day 6 Patient_519: day 6 Patient_519: day 20 Patient_519: day 79 Patient_519: day 105 Patient_519: day 135 Patient_519: day 163 Patient_519: day 190 Patient_519: day 210 Patient_543 Patient_543: day 0 Patient_543: day 13 Patient_543: day 100 Patient_543: day 166 Patient_543: day 166 Patient_543: day 167 Patient_543: day 171 Patient_543: day 172 Patient_543: day 174 Patient_543: day 175 Patient_543: day 177 Patient_543: day 177 Patient_543: day 180 Patient_543: day 302 Patient_543: day 412 Patient_543: day 413 Patient_543: day 489 Patient_543: day 492 Patient_575 Patient_575: day 0 Patient_575: day 1 Patient_575: day 73 Patient_575: day 108 Patient_575: day 116 Patient_575: day 118 Patient_575: day 120 Patient_575: day 125 Patient_575: day 127 Patient_575: day 127 Patient_575: day 295 Patient_577 Patient_577: day 0 Patient_577: day 11 Patient_577: day 26 Patient_577: day 36 Patient_577: day 46 Patient_577: day 96 Patient_577: day 179 Patient_577: day 249 Patient_578 Patient_578: day 0 Patient_578: day 140 Patient_578: day 145 Patient_578: day 147 Patient_578: day 147 Patient_578: day 149 Patient_578: day 151 Patient_578: day 164 Patient_598 Patient_598: day 0 Patient_598: day 26 Patient_598: day 71 Patient_598: day 110 Patient_598: day 138 Patient_598: day 236 Patient_598: day 270 Patient_598: day 446 Patient_617 Patient_617: day 0 Patient_617: day 153 Patient_617: day 154 Patient_617: day 156 Patient_617: day 158 Patient_617: day 167 Patient_617: day 167 Patient_617: day 173 Patient_626 Patient_626: day 0 Patient_626: day 21 Patient_626: day 32 Patient_626: day 39 Patient_626: day 55 Patient_626: day 56 Patient_626: day 66 Patient_626: day 74 Patient_626: day 85 Patient_626: day 118 Patient_626: day 120 Patient_626: day 144 Patient_626: day 146 Patient_626: day 147 Patient_626: day 172 Patient_626: day 241 Patient_626: day 242 Patient_626: day 249 Patient_626: day 256 Patient_626: day 261 Patient_633 Patient_633: day 0 Patient_633: day 20 Patient_633: day 60 Patient_633: day 89 Patient_633: day 158 Patient_633: day 290 Patient_633: day 349 Patient_633: day 351 Patient_633: day 351 Patient_634 Patient_634: day 0 Patient_634: day 22 Patient_634: day 24 Patient_634: day 29 Patient_634: day 35 Patient_634: day 36 Patient_634: day 184 Patient_634: day 185 Patient_659 Patient_659: day 0 Patient_659: day 5 Patient_659: day 50 Patient_659: day 50 Patient_659: day 53 Patient_659: day 59 Patient_659: day 62 Patient_659: day 67 Patient_731 Patient_731: day 0 Patient_731: day 3 Patient_731: day 9 Patient_731: day 16 Patient_731: day 26 Patient_731: day 27 Patient_731: day 39 Patient_731: day 62 Patient_731: day 74 Patient_770 Patient_770: day 0 Patient_770: day 5 Patient_770: day 6 Patient_770: day 18 Patient_770: day 21 Patient_770: day 24 Patient_770: day 44 Patient_770: day 58 Patient_770: day 60 Patient_770: day 65 Patient_770: day 73 Patient_770: day 74 Patient_787 Patient_787: day 0 Patient_787: day 5 Patient_787: day 5 Patient_787: day 17 Patient_787: day 22 Patient_787: day 31 Patient_787: day 32 Patient_787: day 35 Patient_787: day 37 Patient_787: day 43 Patient_787: day 80 Patient_787: day 83 Patient_787: day 85 Patient_787: day 86 Patient_790 Patient_790: day 0 Patient_790: day 9 Patient_790: day 10 Patient_790: day 16 Patient_790: day 17 Patient_790: day 24 Patient_790: day 29 Patient_790: day 32 Patient_790: day 34 Patient_790: day 53 Patient_790: day 54 Patient_790: day 57 Patient_790: day 58 Patient_790: day 58 Patient_801 Patient_801: day 0 Patient_801: day 5 Patient_801: day 26 Patient_801: day 26 Patient_801: day 27 Patient_801: day 31 Patient_801: day 31 Patient_801: day 32 Patient_801: day 40 Patient_801: day 41 Patient_801: day 42 Patient_801: day 49 Patient_801: day 51 Patient_801: day 67 Patient_804 Patient_804: day 0 Patient_804: day 7 Patient_804: day 9 Patient_804: day 15 Patient_804: day 23 Patient_804: day 28 Patient_804: day 33 Patient_804: day 39 Patient_804: day 50 Patient_819 Patient_819: day 0 Patient_819: day 3 Patient_819: day 6 Patient_819: day 8 Patient_819: day 12 Patient_819: day 16 Patient_819: day 17 Patient_819: day 19 Patient_819: day 34 Patient_819: day 37 Patient_819: day 47 Patient_819: day 49 Patient_819: day 80 Patient_819: day 83 Patient_819: day 85 Patient_819: day 87 Patient_819: day 89 Patient_819: day 91 Patient_819: day 94 0 d 4 mo 8 mo 12 mo 16 mo
Each row is one person (36 shown of 399); dots are samples at days since that person's first sample.
How longitudinal and relatedness information is derived
Community composition
Enterococcus_B 15.6%Bacteroides 6.3%Phocaeicola 4.5%Streptococcus 4.2%Bifidobacterium 4.1%Lacticaseibacillus 4.0%Blautia_A 3.4%Enterococcus 2.7%Klebsiella 2.7%Parabacteroides 2.3%Escherichia 2.2%Mediterraneibacter 2.1% not assigned to a genus 4.8% other genera 41.0%
Genera, mean relative abundance over 1,833 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
Field coverage
field samples coverage R1 R2 R3 R4
age_category 0 0% country 1,877 100% 1,877 health_condition 1,544 82% 1,544 subject_id 1,877 100% 1,877 collection_date 1,877 100% 1,877 detailed_location 1,877 100% health_condition_detail 1,877 100% 1,544 333 location_locality 1,877 100% 1,877 location_region 1,877 100% 1,877 location_site 1,877 100% 1,877 timepoint_label 1,860 99% 1,860
Papers (1)
Lantibiotic-producing bacteria impact microbiome resilience and colonization resistance. 2025 PMID 41330369 PMC12766783 own_data
Details
Archive description In this study, we investigate the presence of lanthipeptides in fecal samples that have undergone shallow-shotgun sequencing from healthy human donors as well as liver disease, liver transplant, heart transplant, and medical intensive care unit (MICU) patients. Using 16S rRNA gene sequencing of mouse fecal pellets, we demonstrate that the lantibiotic-producing bacterium Blautia pseudococcoides SCSK prevents intestinal recolonization of mice by a wide range of commensal species following antibiotic-induced dysbiosis and markedly reduces fecal concentrations of microbiota-derived metabolites. Blautia producta KH6, a closely related Blautia strain that lacks a known lantibiotic, does not have the same effect. Lantibiotic-mediated dysbiosis results in sustained loss of colonization resistance against Klebsiella pneumoniae and Clostridioides difficile infection.
How this project entered the registry Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna .
host run.host_tax_id · “9606”host study.description · “healthy human donors”body site study.description · “fecal samples that have undergone shallow-shotgun sequencing”body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
sample field value route conf. source quote
SAMEA120478552 collection_date 2020-10-19 R1 0.90 biosample.attribute:collection_date 2020-10-19 SAMEA120478552 country US R1 0.90 sample.attr.geographic_location_country_and_or_sea USA SAMEA120478552 health_condition other_disease R1 0.70 sample.name_rule:alias MICU-077.01 SAMEA120478552 health_condition_detail MICU R1 0.70 sample.name_rule:alias MICU-077.01 SAMEA120478567 health_condition_detail mixed_case_control: healthy donors vs liver disease, transplant, and MICU patients R4 0.40 study.description healthy human donors as well as liver disease, liver transplant, heart transplant, SAMEA120478552 location_locality Chicago R1 0.85 biosample.attribute:geographic_location_region_and_locality USA: University of Chicago, Chicago, Illinois SAMEA120478552 location_region Illinois R1 0.85 biosample.attribute:geographic_location_region_and_locality USA: University of Chicago, Chicago, Illinois SAMEA120478552 location_site University of Chicago R1 0.85 biosample.attribute:geographic_location_region_and_locality USA: University of Chicago, Chicago, Illinois SAMEA120478552 subject_id Patient_100 R1 0.85 sample.attr.host_subject_id Patient_100 SAMEA120478552 timepoint_label 01 R1 0.70 sample.name_rule:alias MICU-077.01
Sequencing 1,877 runs over 1,877 samples · mean 2.25 Gbp per run (median 2.08 Gbp, total 4,229.25 Gbp; 1,877 runs with a base count) · layout PAIRED 1,877 · platform ILLUMINA 1,877 · models Illumina NovaSeq 6000 (1,290), NextSeq 2000 (538), Illumina HiSeq 4000 (21), Illumina MiniSeq (15), NextSeq 500 (13) · 98% of runs with a Sandpiper profile · first public 2025-12-01
Authors (14) Cole CG first · Zhang ZJ · Dommaraju SR · Dong Q · Pope RL · Son SS · McSpadden EJ · Woodson CK · Lin H · Dylla NP · Sidebottom AM · Sundararajan A · Mitchell DA · Pamer EG last
Downloads PRJEB102033.csv.gz (55.0 KB) · parquet (146.5 KB) — all 1,877 samples, every field with route and confidence · PRJEB102033_determinations.csv.gz (131.0 KB) — 16,543 evidence rows
Samples (1,877 · every field this project has values for · hover a cell for its source)
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