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PRJNA294605 SRP074153

NICU infant gut microbiome, Pittsburgh, longitudinal cohort

Metagenomes from 11 human infant fecal samples hospitalized in the same intensive care unit

158 fecal samples from neonates/infants hospitalized in a Pittsburgh ICU, including preterm NICU and NEC cases, analyzed for strain persistence and sharing in a longitudinal cohort design. machine-written summary

158 samples · 158 runs · US · Infant / toddler · 2016 · 2.99 Gbp / sample · cohort Brown 2018 USA

Sources
✓Sequence archive 175○Abstract / description✓Full text 316✓Supplementary tables 1,894✓External resources 12–User contribution–Human verified

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

what each source gave
✓ Sequence archive175 sample values (collection date, country, subject id)
○ Abstract / descriptionread; no usable statement
✓ Full text316 sample values (location locality, location site) · PMC10175488, PMC10230729, PMC10904392, PMC11170968, PMC11322291, PMC12677589, PMC5148203, PMC5703836, PMC5893878, PMC6905865, PMC9437082, PMC9445129, PMC9720133
✓ Supplementary tables1,894 sample values (age, antibiotic exposure, birth weight grams, delivery mode, diet, feeding mode, gestational age weeks, health condition)
✓ External resources12 sample values (age, sex) · from MicrobiomeDB (VEuPathDB)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
neonate119
infant39
Condition
preterm_nicu103
nec38
Sex
female96
male61
Country
US158
Body site
primary158
Collected 2011–2012
2011: 1 samples2012: 10 samples20112012
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall 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: 3 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 76 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 68 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 2 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 8 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 2.99 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalsiblings — not resolved

13 of 23 people sampled more than once (147 samples; median 11, up to 22 per person) · follow-up median 24 d (max 48 d) · median interval between samples 1 d (time from age at collection). Schedule stated by the source: “Fecal samples collected at multiple days (e.g. 0,4,7,10,13,16,19,22) per infant during NICU stay” (time origin: birth).

003003: day 0003: day 8011011: day 0011: day 7011: day 8011: day 9PRJNA294605_11PRJNA294605_11: day 0PRJNA294605_11: day 2PRJNA294605_11: day 3PRJNA294605_11: day 4PRJNA294605_11: day 9PRJNA294605_11: day 10PRJNA294605_11: day 12PRJNA294605_11: day 14PRJNA294605_11: day 16PRJNA294605_11: day 17PRJNA294605_11: day 22PRJNA294605_11: day 26PRJNA294605_11: day 35PRJNA294605_11: day 40PRJNA294605_14PRJNA294605_14: day 0PRJNA294605_14: day 1PRJNA294605_14: day 2PRJNA294605_14: day 3PRJNA294605_14: day 4PRJNA294605_14: day 5PRJNA294605_14: day 6PRJNA294605_14: day 8PRJNA294605_14: day 9PRJNA294605_14: day 10PRJNA294605_14: day 11PRJNA294605_17PRJNA294605_17: day 0PRJNA294605_17: day 1PRJNA294605_17: day 2PRJNA294605_18PRJNA294605_18: day 0PRJNA294605_18: day 1PRJNA294605_18: day 3PRJNA294605_18: day 4PRJNA294605_18: day 6PRJNA294605_18: day 7PRJNA294605_18: day 8PRJNA294605_18: day 9PRJNA294605_18: day 10PRJNA294605_18: day 14PRJNA294605_18: day 27PRJNA294605_19PRJNA294605_19: day 0PRJNA294605_19: day 1PRJNA294605_19: day 2PRJNA294605_19: day 3PRJNA294605_19: day 4PRJNA294605_19: day 5PRJNA294605_19: day 6PRJNA294605_19: day 7PRJNA294605_19: day 8PRJNA294605_19: day 9PRJNA294605_19: day 10PRJNA294605_19: day 11PRJNA294605_19: day 12PRJNA294605_19: day 13PRJNA294605_19: day 14PRJNA294605_19: day 16PRJNA294605_19: day 17PRJNA294605_19: day 21PRJNA294605_19: day 28PRJNA294605_19: day 39PRJNA294605_19: day 46PRJNA294605_19: day 47PRJNA294605_21PRJNA294605_21: day 0PRJNA294605_21: day 1PRJNA294605_21: day 3PRJNA294605_21: day 4PRJNA294605_21: day 5PRJNA294605_21: day 6PRJNA294605_21: day 7PRJNA294605_21: day 9PRJNA294605_21: day 10PRJNA294605_21: day 11PRJNA294605_21: day 12PRJNA294605_21: day 14PRJNA294605_21: day 15PRJNA294605_21: day 16PRJNA294605_21: day 18PRJNA294605_23PRJNA294605_23: day 0PRJNA294605_23: day 2PRJNA294605_23: day 6PRJNA294605_23: day 7PRJNA294605_23: day 8PRJNA294605_23: day 10PRJNA294605_23: day 11PRJNA294605_23: day 12PRJNA294605_23: day 13PRJNA294605_23: day 14PRJNA294605_23: day 22PRJNA294605_23: day 27PRJNA294605_23: day 35PRJNA294605_23: day 43PRJNA294605_23: day 48PRJNA294605_3PRJNA294605_3: day 0PRJNA294605_3: day 2PRJNA294605_3: day 4PRJNA294605_3: day 6PRJNA294605_3: day 7PRJNA294605_3: day 8PRJNA294605_3: day 10PRJNA294605_3: day 11PRJNA294605_3: day 12PRJNA294605_3: day 14PRJNA294605_3: day 15PRJNA294605_3: day 16PRJNA294605_3: day 17PRJNA294605_3: day 28PRJNA294605_3: day 33PRJNA294605_3: day 41PRJNA294605_4PRJNA294605_4: day 0PRJNA294605_4: day 1PRJNA294605_4: day 2PRJNA294605_4: day 4PRJNA294605_4: day 5PRJNA294605_4: day 6PRJNA294605_4: day 7PRJNA294605_4: day 8PRJNA294605_4: day 10PRJNA294605_4: day 13PRJNA294605_4: day 18PRJNA294605_8PRJNA294605_8: day 0PRJNA294605_8: day 1PRJNA294605_8: day 2PRJNA294605_8: day 3PRJNA294605_8: day 21PRJNA294605_8: day 24PRJNA294605_9PRJNA294605_9: day 0PRJNA294605_9: day 1PRJNA294605_9: day 2PRJNA294605_9: day 3PRJNA294605_9: day 4PRJNA294605_9: day 5PRJNA294605_9: day 7PRJNA294605_9: day 8PRJNA294605_9: day 9PRJNA294605_9: day 10PRJNA294605_9: day 11PRJNA294605_9: day 13PRJNA294605_9: day 14PRJNA294605_9: day 15PRJNA294605_9: day 18PRJNA294605_9: day 32PRJNA294605_9: day 390 d12 d24 d36 d48 d

Each row is one person (13 shown); dots are samples at days since that person's first sample.

NICU preterm infants; description states non-identical siblings shared strains; sibling pairs not identified in archive metadata.

How longitudinal and relatedness information is derived

Community composition
Klebsiella 35.8%Enterococcus 10.0%Veillonella 9.7%Enterobacter 8.9%Staphylococcus 6.3%Escherichia 5.7%Streptococcus 2.9%Citrobacter 2.8%Haemophilus_D 2.7%Clostridium 1.7%Cutibacterium 1.6%Enterococcus_B 1.0%not assigned to a genus 2.9%other genera 7.9%

Genera, mean relative abundance over 138 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category158 100%
country158 100%158
health_condition141 89%141
subject_id157 99%6151
detailed_location158 100%
location_locality158 100%158
location_site158 100%158
sex157 99%157
age_at_collection_days147 93%147
diet147 93%147
antibiotic_exposure146 92%146
birth_weight_grams141 89%141
delivery_mode141 89%141
feeding_mode141 89%141
gestational_age_weeks141 89%141
health_condition_detail141 89%141
nec_status141 89%141
preterm_status141 89%141
timepoint_label30 19%30
collection_date11 7%11
Papers (13)
  • Evidence for persistent and shared bacterial strains against a background of largely unique gut colonization in hospitalized premature infants. PMID 27258951 PMC5148203 curated
  • Strain-resolved analysis of hospital rooms and infants reveals overlap between the human and room microbiome. PMID 29180750 PMC5703836 curated
  • Hospitalized Premature Infants Are Colonized by Related Bacterial Strains with Distinct Proteomic Profiles. PMID 29636439 PMC5893878 curated
  • Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. PMID 31844663 PMC6905865 curated
  • A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome. PMID 36050292 PMC9437082 curated
8 more
  • Metabolic model of necrotizing enterocolitis in the premature newborn gut resulting from enteric dysbiosis. PMID 36081629 PMC9445129
  • Antibiotic resistance and host immune system-induced metal bactericidal control are key factors for microbial persistence in the developing human preterm infant gut microbiome. PMID 36478853 PMC9720133
  • Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota. PMID 37169786 PMC10175488
  • Metagenome-mining indicates an association between bacteriocin presence and strain diversity in the infant gut. PMID 37259063 PMC10230729
  • A metagenomic catalog of the early-life human gut virome. PMID 38424077 PMC10904392
  • Infant age inversely correlates with gut carriage of resistance genes, reflecting modifications in microbial carbohydrate metabolism during early life. PMID 38882494 PMC11170968
  • Insights into the ecology of the infant gut plasmidome. PMID 39138199 PMC11322291
  • The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset. PMID 41025564 PMC12677589
Details
Archive description

Bacteria that persist in hospitals can contribute to the establishment of the microbiome in newborns and the spread of hospital-acquired diseases. Yet we know little about microbial communities in hospitals, or about the extent to which persistent vs. recently immigrated bacterial strains establish in the gastrointestinal tracts of hospitalized individuals.</p><p>In combination with BioProject PRJNA273761 (10 infants / 55 samples) we analyzed strain-resolved genomes obtained from a total of 202 samples collected over a three-year period from 21 infants hospitalized in the same intensive care unit.</p><p>Strains were rarely shared, consistent with prior analysis of a subset of these data. Enterococcus faecalis and Staphylococcus epidermidis, common gut colonists, exhibit diversity comparable to that of NCBI reference strains, suggesting no recent common ancestor for all populations in this hospital setting. Thus, we infer multiple introduction events for these species. Despite the rarity of shared strains, strains of five species exhibiting a degree of sequence variation consistent with in situ diversification were identified in different infants hospitalized three years apart. Three were also detected in multiple infants in the same year, suggesting that these strains are unusually widely dispersed and persistent in the hospital environment. Persistent strains were not significantly different from non-persistent strains with regards to pathogenicity potential including antibiotic resistance. Notably, non-identical siblings had multiple abundant strains in common, even 30 days after birth and antibiotic administration, suggesting overlapping strain sources and/or genetic selection. Our approach can be used in order to study microbial dynamics in hospitals and provides an important step towards directing health-promoting colonization in hospitalized individuals.

How this project entered the registry

Classified as human gut / stool / skin shotgun DNA metagenome of infant / toddler and neonate by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “11 human infant fecal samples hospitalized in”
  • body site study.description · “establish in the gastrointestinal tracts of hospitalized”
  • body site study.description · “faecalis and Staphylococcus epidermidis , common gut”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.title · “from 11 human infant fecal samples hospitalized”
  • life stage study.description · “the microbiome in newborns and the spread”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SRR6257372age_at_collection_days7R20.75paper.supp.tableDay of Life=7
SRR6257418age_at_collection_days69.0R20.75external.microbiomedb sourceAge: 69 days
SRR6257372antibiotic_exposureyesR20.75paper.supp.tableInfant antibiotics=yes
SRR6257372birth_weight_grams875R20.75paper.supp.tablebirthweight=875
SRR6257421collection_date2012-03R10.85biosample.attribute:collection_date2012-03
SRR3466404countryUSR10.90sample.attr.geo_loc_nameUSA: Pittsburgh, PA
SRR6257372delivery_modevaginalR20.75paper.supp.tabledelivery_mode=vaginal
SRR3498907dietformulaR20.85paper.supp.41522_2023_392_MOESM1_ESM.xlsx[Supplementary Table 1!Nutrition]Nutrition: formula-fed
SRR6257372feeding_modeexclusive_breastR20.75paper.supp.tablefeeding_practice=breastfed
SRR6257372gestational_age_weeks27.0R20.75paper.supp.tablegestational_age_week=27
SRR6257372health_conditionpreterm_nicuR20.70paper.supp.tablePre_term_nec=Preterm
SRR6257372health_condition_detailNEC: NoR20.85paper.supp.Table_3.XLSX[mapping_global.txt!NEC]SRR6257372 | NEC: No
SRR3466404location_localityPittsburghR30.60paper.fulltext.resultsMagee-Womens’ Hospital of UPMC, Pittsburgh (USA)
SRR3466404location_siteMagee-Womens' Hospital of UPMC NICUR30.60paper.fulltext.resultshoused in the NICU of the Magee-Womens’ Hospital of UPMC
SRR6257372nec_statusnoR20.75paper.supp.tableNEC=No
SRR6257372preterm_statuspretermR20.75paper.supp.tablePre_term_nec=Preterm
SRR3498907sexfemaleR20.85paper.supp.41522_2023_392_MOESM1_ESM.xlsx[Supplementary Table 1!Sex]Sex: female
SRR6257418sexmaleR20.75external.microbiomedb sourceSex: Male
SRR6257418subject_id011R10.70sample.name_rule:library_namesN1_011_069G1
SRR3498907subject_idNIHY1_04R20.85paper.supp.41522_2023_392_MOESM1_ESM.xlsx[Supplementary Table 1!ALIAS]ALIAS: NIHY1_04
SRR6257374timepoint_label4R20.75paper.supp.tableWindow=4
Sequencing

158 runs over 158 samples · mean 5.79 Gbp per run (median 2.99 Gbp, total 914.77 Gbp; 158 runs with a base count) · layout PAIRED 158 · platform ILLUMINA 158 · models Illumina HiSeq 2000 (158) · 87% of runs with a Sandpiper profile · first public 2016-06-29 – 2017-11-12

Authors (88)

Brooks B first · Olm MR · Firek BA · Baker R · Thomas BC · Morowitz MJ · Banfield JF last · Brown CT first · Xiong W · Firek B · Hettich RL · Bhattacharya N · Crits-Christoph A · Song YS · Zeng S first · Patangia D · Almeida A · Zhou Z · Mu D · Paul Ross R · Stanton C · Wang S last · Casaburi G first · Wei J · Kazi S · Liu J · Wang K · Tao GZ · Lin PY · Dunn JCY · Henrick BM · Frese SA · Sylvester KG last · Peters SL first · Lugli GA first · Mancabelli L · Milani C · Fontana F · Tarracchini C · Alessandri G · van Sinderen D · Turroni F · Ventura M last · Ormaasen I first · Rudi K · Diep DB · Snipen L last · Li S · Ying J · Wang H · Qu Y · Niu X · Xu X first · Feng Q · Zhang T · Gao Y · Cheng Q · Zhang W · Wu Q · Xu K · Li Y · Nguyen N · Taft DH · Mills DA · Lemay DG · Zhu W · Mao S · Zhang A · He W first · Russel J · Klincke F · Nesme J · Sørensen SJ last · Zhang L · Yuan Y · Tian M · Zhou M · Hu Y · Huang J · Zou R · Zhao F · Su X · Liu Q · He Y · Feng J · Huang W · Luo Y · Shen W

Downloads

PRJNA294605.csv.gz (5.8 KB) · parquet (77.3 KB) — all 158 samples, every field with route and confidence · PRJNA294605_determinations.csv.gz (21.6 KB) — 2,397 evidence rows

Samples (158 · every field this project has values for · hover a cell for its source)
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