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PRJNA301903 SRP069019

Preterm infant gut microbiota, antibiotic effects

Metagenomic sequencing of preterm infant gut microbiota raw sequence reads

403 fecal samples from preterm NICU infants in Saint Louis, MO, studied longitudinally to assess how specific antibiotics alter gut microbiota development and resistance gene profiles. machine-written summary

403 samples · 982 runs · US · Infant / toddler · 2016 · 0.85 Gbp / sample

Sources
✓Sequence archive 2,468○Abstract / description✓Full text 4✓Supplementary tables 3,035✓External resources 401–User contribution–Human verified

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

what each source gave
✓ Sequence archive2,468 sample values (age, birth weight grams, collection date, country, sex, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text4 sample values (preterm status) · PMC10175488, PMC10904392, PMC11170968, PMC11322291, PMC12677589, PMC13402684, PMC13490558, PMC8284144, PMC8827105, PMC9437082, PMC9445129, PMC9837561
✓ Supplementary tables3,035 sample values (antibiotic exposure, delivery mode, diet, gestational age weeks, health condition, maternal antibiotics, nec status, preterm status)
✓ External resources401 sample values (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
infant224
neonate179
Condition
preterm_nicu403
Sex
female237
male166
Country
US403
Body site
primary403
Collected 2009–2013
2009: 41 samples2010: 146 samples2011: 133 samples2012: 77 samples2013: 6 samples20092013
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 4 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 4 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 28 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 198 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 161 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 8 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 0.85 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

78 of 84 people sampled more than once (397 samples; median 5, up to 16 per person) · follow-up median 16 d (max 4 mo) · median interval between samples 3 d (time from age at collection). Schedule stated by the source: “Fecal samples collected longitudinally across days of life (timepoint labels D1-D8, host_day_of_life values), varying per infant.”.

107.02107.02: day 0107.02: day 4107.02: day 6107.02: day 8107.02: day 8107.02: day 9107.02: day 10107.02: day 13107.02: day 14107.02: day 15107.02: day 18107.02: day 18107.02: day 22107.02: day 32107.02: day 34107.02: day 40110.01110.01: day 0110.01: day 2110.01: day 4110.01: day 6110.01: day 33110.01: day 34110.01: day 37110.01: day 39110.01: day 41110.01: day 43121.01121.01: day 0121.01: day 4121.01: day 5121.01: day 34121.01: day 38121.01: day 41121.01: day 43122.01122.01: day 0122.01: day 3122.01: day 3122.01: day 17122.01: day 20122.01: day 27139.01139.01: day 0139.01: day 2139.01: day 4139.01: day 6139.01: day 8139.01: day 13139.01: day 15144.01144.01: day 0144.01: day 4144.01: day 6144.01: day 10144.01: day 20144.01: day 22144.01: day 24144.02144.02: day 0144.02: day 2144.02: day 4144.02: day 6144.02: day 8145.01145.01: day 0145.01: day 12145.01: day 14145.01: day 16145.01: day 33145.01: day 34151.01151.01: day 0151.01: day 5151.01: day 22151.01: day 35151.01: day 36171.01171.01: day 0171.01: day 2171.01: day 4171.01: day 6171.01: day 8171.01: day 12171.01: day 13171.01: day 15175.01175.01: day 0175.01: day 12175.01: day 13175.01: day 14175.01: day 57175.01: day 59180.01180.01: day 0180.01: day 2180.01: day 4180.01: day 6180.01: day 12180.01: day 14180.01: day 16180.01: day 18180.01: day 19180.01: day 42180.01: day 49180.01: day 50181.01181.01: day 0181.01: day 2181.01: day 4181.01: day 8181.01: day 10181.01: day 37181.01: day 38181.01: day 43181.01: day 47189.01189.01: day 0189.01: day 0189.01: day 7189.01: day 10189.01: day 12189.01: day 13190.01190.01: day 0190.01: day 2190.01: day 4190.01: day 6190.01: day 16195.01195.01: day 0195.01: day 3195.01: day 5195.01: day 33195.01: day 37195.01: day 39195.01: day 41197.01197.01: day 0197.01: day 4197.01: day 7197.01: day 18197.01: day 20197.01: day 22197.01: day 24197.01: day 26198.01198.01: day 0198.01: day 7198.01: day 8198.01: day 16198.01: day 55205.01205.01: day 0205.01: day 5205.01: day 8205.01: day 9205.01: day 35234.01234.01: day 0234.01: day 3234.01: day 6234.01: day 8234.01: day 17234.01: day 18234.01: day 21234.01: day 23234.01: day 26234.01: day 42234.01: day 44234.01: day 45234.01: day 48234.01: day 48234.01: day 55234.01: day 57234.02234.02: day 0234.02: day 3234.02: day 21234.02: day 23234.02: day 25234.02: day 27234.02: day 29234.02: day 46234.02: day 48234.02: day 53240.01240.01: day 0240.01: day 1240.01: day 2240.01: day 3240.01: day 3240.01: day 5240.01: day 22265.01265.01: day 0265.01: day 5265.01: day 7265.01: day 9265.01: day 11265.01: day 13265.01: day 42265.01: day 44265.01: day 48265.01: day 50265.01: day 53265.01: day 58286.02286.02: day 0286.02: day 1286.02: day 3286.02: day 4286.02: day 8286.02: day 9286.02: day 13286.02: day 19286.02: day 19286.02: day 27286.02: day 38286.02: day 41303.01303.01: day 0303.01: day 6303.01: day 6303.01: day 10303.01: day 11303.01: day 12303.01: day 14303.01: day 18303.01: day 20303.01: day 21303.01: day 22303.01: day 30313.01313.01: day 0313.01: day 26313.01: day 29313.01: day 31313.01: day 34319.01319.01: day 0319.01: day 2319.01: day 3319.01: day 12319.01: day 14319.01: day 16338.01338.01: day 0338.01: day 20338.01: day 21338.01: day 23338.01: day 24341.01341.01: day 0341.01: day 3341.01: day 6341.01: day 23341.01: day 25341.01: day 28355.01355.01: day 0355.01: day 8355.01: day 11355.01: day 16355.01: day 19361.01361.01: day 0361.01: day 2361.01: day 4361.01: day 6361.01: day 8363.01363.01: day 0363.01: day 4363.01: day 10363.01: day 22363.01: day 24363.01: day 28363.01: day 3140.0140.01: day 040.01: day 240.01: day 940.01: day 1440.01: day 1940.01: day 2240.01: day 2340.01: day 2640.01: day 2840.01: day 3140.01: day 6256.0156.01: day 056.01: day 256.01: day 456.01: day 656.01: day 1756.01: day 2056.01: day 2156.01: day 2356.01: day 2568.0268.02: day 068.02: day 2768.02: day 3068.02: day 4468.02: day 4468.02: day 4668.02: day 4668.02: day 6776.0176.01: day 076.01: day 376.01: day 976.01: day 1176.01: day 1476.01: day 160 d17 d34 d50 d2 mo

Each row is one person (36 shown of 78); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Klebsiella 24.3%Escherichia 13.8%Enterococcus 11.8%Enterobacter 9.2%Staphylococcus 5.1%Veillonella 4.5%Bacteroides 2.8%Bifidobacterium 2.6%Streptococcus 2.1%Enterococcus_B 2.0%Cutibacterium 1.8%Clostridium 1.4%not assigned to a genus 4.2%other genera 14.2%

Genera, mean relative abundance over 353 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category403 100%
country403 100%403
health_condition403 100%403
subject_id403 100%403
birth_weight_grams403 100%403
collection_date403 100%403
preterm_status403 100%3994
sex403 100%403
delivery_mode402 100%402
gestational_age_weeks402 100%402
age_at_collection_days401 100%401
antibiotic_exposure401 100%401
health_condition_detail401 100%401
diet369 92%369
nec_status369 92%369
maternal_antibiotics290 72%290
timepoint_label52 13%52
Papers (12)
  • Antibiotic-driven intestinal dysbiosis in pediatric short bowel syndrome is associated with persistently altered microbiome functions and gut-derived bloodstream infections. PMID 34264786 PMC8284144 curated
  • Early-life formula feeding is associated with infant gut microbiota alterations and an increased antibiotic resistance load. PMID 34677583 PMC8827105 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
  • Metabolic model of necrotizing enterocolitis in the premature newborn gut resulting from enteric dysbiosis. PMID 36081629 PMC9445129 curated
  • A novel approach for combining the metagenome, metaresistome, metareplicome and causal inference to determine the microbes and their antibiotic resistance gene repertoire that contribute to dysbiosis. PMID 36748547 PMC9837561 curated
7 more
  • Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota. PMID 37169786 PMC10175488
  • 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
  • An ubiquitous antibacterial toxin from human gut bacteria engenders neonatal colonization advantage. PMID 42259839 PMC13402684
  • Global analysis of infant gut microbiota revealed distinctive maturation dynamics across lifestyles. PMID 42618579 PMC13490558
Details
Archive description

Dysbiotic colonization of the preterm infant gut microbiota may have lifelong effects on host health. The normal progression of colonization of preterm infants is a patterned, yet chaotic, process, and thought to be chiefly driven by host factors. While preterm infants almost universally receive early and often repeated and/or prolonged intravenous antibiotic therapy, it remains unclear if and how specific antibiotics alter the developmental progression of the gut microbiota in this population. By analyzing 401 fecal samples from 84 longitudinally-sampled preterm infants, we demonstrate that meropenem, cefotaxime, and ticarcillin-clavulanate significantly reduce species richness during their administration, and significantly enrich or deplete specific bacterial species and antibiotic resistance (AR) genes. In contrast, vancomycin and gentamicin, the antibiotics most commonly administered to preterm infants, have non-uniform effects on species richness. We show this response is predictable with 85% accuracy based on the relative abundance of only two bacterial species and two AR genes before treatment. To more fully investigate the role of the gut-associated resistome in response to specific antibiotics, we performed functional metagenomic selections for resistance to 16 clinically relevant antibiotics from a set of 21 preterm infants’ gut microbiota. Of the 794 AR genes identified, 79% had not previously been classified as providing any resistance phenotype. Combined with deep shotgun sequencing of all 401 fecal samples, we find that multidrug resistant Escherichia, Klebsiella, and Enterobacter species, which are commonly associated with nosocomial infections, dominate the preterm infant gut microbiota. We show that AR genes that are enriched following specific antibiotic treatments are generally unique to the specific treatment and highly correlated (p<0.001) with the abundance of a single species. The most notable exception includes ticarcillin-clavulanate and ampicillin, both of which enrich a large number of overlapping AR genes, and are highly correlated with Klebsiella pneumoniae species in the preterm infant gut microbiota. In addition to AR genes relevant to specific antibiotics likely providing a protective function, we show that all antibiotic treatments also result in widespread collateral microbiome impact through enrichment of AR genes with no known direct activity against the specific antibiotic treatment.

How this project entered the registry

Classified as human gut / stool mixed assays of infant / toddler by sonnet_x2 with confidence 0.78. Assay mixed.

  • host run.host_tax_id · “9606”
  • body site study.title · “preterm infant gut microbiota”
  • life stage study.title · “preterm infant gut microbiota”
  • life stage study.description · “84 longitudinally-sampled preterm infants”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN04436590age_at_collection_days30R10.90biosample_attr30.5
SAMN04436590antibiotic_exposureyesR20.75paper.supp.tableantibiotic_treatment=1
SAMN04436590birth_weight_grams960R10.90biosample_attr960
SAMN04436590collection_date2009-10-29R10.85biosample.attribute:collection_date2009-10-29
SAMN04436590countryUSR10.90biosample_attrUSA: Saint Louis, MO
SAMN04436590delivery_modec_sectionR20.75paper.supp.tabledelivery_mode=c-section
SAMN04436590dietother_dietR20.85paper.supp.Table_3.XLSX[mapping_global.txt!feeding_practice]SRR3132297 | feeding_practice: mix
SAMN04436590gestational_age_weeks25.0R20.75paper.supp.tablegestational_age_week=25
SAMN04436590health_conditionpreterm_nicuR20.70paper.supp.tablePre_term_nec=Preterm
SAMN04436590health_condition_detailPremature BirthR20.75external.gmrepo sourcephenotype: Premature Birth
SAMN04436590maternal_antibioticsyesR20.75paper.supp.tableMat_AB=True
SAMN04436590nec_statusnoR20.75paper.supp.tableNEC=No
SAMN04436590preterm_statuspretermR20.75paper.supp.tablePre_term_nec=Preterm
SAMN04436661preterm_statuspretermR30.80paper.fulltext.methodspremature infant gut microbiome data set
SAMN04436590sexfemaleR10.90biosample_attrfemale
SAMN04436590subject_id34.01R10.85biosample_attr34.01
SAMN04436608timepoint_labelD2R10.70run.library_nameWGS_paired_1-D2
Sequencing

982 runs over 403 samples · mean 0.43 Gbp per run (median 0.10 Gbp, total 423.76 Gbp; 982 runs with a base count) · layout PAIRED 581, SINGLE 401 · platform ILLUMINA 982 · models Illumina HiSeq 2500 (804), NextSeq 500 (178) · 41% of runs with a Sandpiper profile · first public 2016-05-05

Authors (119)

Gibson MK first · Wang B · Ahmadi S · Burnham CA · Tarr PI · Warner BB · Dantas G last · Thänert R first · Thänert A · Ou J · Bajinting A · Burnham CD · Engelstad HJ · Tecos ME · Ndao IM · Hall-Moore C · Rouggly-Nickless C · Carl MA · Rubin DC · Davidson NO · Warner BW last · Pärnänen KMM first · Hultman J · Markkanen M · Satokari R · Rautava S · Lamendella R · Wright J · McLimans CJ · Kelleher SL · Virta MP last · 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 · Stebliankin V first · Sazal M · Valdes C · Mathee K · Narasimhan G last · Lugli GA first · Mancabelli L · Milani C · Fontana F · Tarracchini C · Alessandri G · van Sinderen D · Turroni F · Ventura M 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 · Valguarnera E first · Tung J · Pak JJ · Russell SK · Hecht DW · Schwartz DJ · Wardenburg JB last · Bücking R first · Pasquali G · Löber U · Buss C · Viemann D · Jarquín-Díaz VH · Forslund-Startceva SK last

Downloads

PRJNA301903.csv.gz (15.6 KB) · parquet (91.9 KB) — all 403 samples, every field with route and confidence · PRJNA301903_determinations.csv.gz (48.3 KB) — 5,908 evidence rows

Samples (403 · every field this project has values for · hover a cell for its source)
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