Infant microbiome maturation across body sites, USA
99 samples from a USA longitudinal cohort of maternal-infant dyads, including infants, neonates, and adults, mostly healthy controls with some pregnancy/postpartum, examining microbiome composition across stool, oral, nares, skin, and vaginal sites. machine-written summary
99 samples · 99 runs · US · Infant / toddler · 2017 · 2.58 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 437 sample values (age, collection date, country, family id, family role, sex, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10092070, PMC10175488, PMC10734493, PMC10769871, PMC10904392, PMC11170968, PMC11322291, PMC11758915, PMC11929092, PMC12677589, PMC12769767, PMC12940378, PMC8115609, PMC8518733, PMC9437082, PMC9622858 |
| ✓ Supplementary tables | 645 sample values (age, antibiotic exposure, birth weight grams, delivery mode, diet, feeding mode, gestational age weeks, maternal antibiotics) |
| ✓ External resources | 149 sample values (age, antibiotic exposure, bmi, health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3) |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
age: supplementary table and curatedMetagenomicData disagree for 17 samples (e.g. 42 vs 9131.25) — withheld.
The sources disagree on 17 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).
Contradicted values (17)
| sample | field | value | other value | handling |
|---|---|---|---|---|
| SAMN05525336 | age | 42 (supplementary table) | 9131.25 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525340 | age | 42 (supplementary table) | 13149.0 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525342 | age | 42 (supplementary table) | 0.0 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525348 | age | 42 (supplementary table) | 0.0 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525352 | age | 0 (supplementary table) | 9496.5 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525354 | age | 42 (supplementary table) | 9496.5 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525368 | age | 0 (supplementary table) | 10957.5 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525370 | age | 42 (supplementary table) | 10957.5 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525374 | age | 0 (supplementary table) | 9861.75 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525376 | age | 42 (supplementary table) | 9861.75 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525414 | age | 42 (supplementary table) | 6939.75 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525420 | age | 0 (supplementary table) | 8400.75 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525434 | age | 0 (supplementary table) | 10592.25 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525436 | age | 42 (supplementary table) | 10592.25 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525446 | age | 0 (supplementary table) | 9131.25 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525448 | age | 42 (supplementary table) | 9131.25 (curatedMetagenomicData) | withheld: neither value published |
| SAMN05525458 | age | 0 (supplementary table) | 10592.25 (curatedMetagenomicData) | withheld: neither value published |
longitudinalmother–infant
2 of 64 people sampled more than once (4 samples; median 2, up to 2 per person) · follow-up median 42 d (max 42 d) · median interval between samples 42 d (time from age at collection). Schedule stated by the source: “longitudinal sampling through 6 weeks post-delivery (second cross-sectional cohort sampled once at delivery)” (time origin: birth); stated follow-up 42 d.
Each row is one person (1 shown of 2); 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).
51 maternal-infant dyad ids in catalog samples; 18 with maternal and 43 with infant samples; 14 dyads with both sampled · 25 families with 58 sampled people (14 with a parent and a child).
motherchild · 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: 24 of 25 families (one per family structure, then more). 64 people in the project overall.
Families (25)
Genera, mean relative abundance over 55 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 51 | 52% | ||||
| country | 99 | 100% | 99 | |||
| health_condition | 65 | 66% | 65 | |||
| subject_id | 99 | 100% | 26 | 73 | ||
| collection_date | 99 | 100% | 99 | |||
| family_id | 99 | 100% | 99 | |||
| timepoint_label | 79 | 80% | 27 | 52 | ||
| family_role | 74 | 75% | 74 | |||
| sex | 72 | 73% | 6 | 66 | ||
| health_condition_detail | 65 | 66% | 65 | |||
| delivery_mode | 64 | 65% | 64 | |||
| antibiotic_exposure | 61 | 62% | 61 | |||
| feeding_mode | 60 | 61% | 60 | |||
| maternal_antibiotics | 57 | 58% | 57 | |||
| preterm_status | 57 | 58% | 57 | |||
| age_at_collection_days | 49 | 49% | 7 | 42 | ||
| birth_weight_grams | 49 | 49% | 49 | |||
| gestational_age_weeks | 44 | 44% | 44 | |||
| diet | 27 | 27% | 27 | |||
| bmi | 12 | 12% | 12 |
- Metagenomic analysis of mother-infant gut microbiome reveals global distinct and shared microbial signatures. PMID 33960282 PMC8115609 curated
- Investigating the infant gut microbiota in developing countries: worldwide metagenomic meta-analysis involving infants living in sub-urban areas of Côte d'Ivoire. PMID 34152069 PMC8518733 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
- Designation of optimal reference strains representing the infant gut bifidobacterial species through a comprehensive multi-omics approach. PMID 36123315 PMC10092070 curated
- Exploring species-level infant gut bacterial biodiversity by meta-analysis and formulation of an optimized cultivation medium. PMID 36316342 PMC9622858 curated
11 more
- Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota. PMID 37169786 PMC10175488
- Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. PMID 37874156 PMC10734493
- BilR is a gut microbial enzyme that reduces bilirubin to urobilinogen. PMID 38172624 PMC10769871
- 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
- Priority effects, nutrition and milk glycan-metabolic potential drive Bifidobacterium longum subspecies dynamics in the infant gut microbiome. PMID 39866568 PMC11758915
- Dynamics of gut resistome and mobilome in early life: a meta-analysis. PMID 40048849 PMC11929092
- The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset. PMID 41025564 PMC12677589
- Compiling an early life human gut microbiome atlas and identification of key microbial drivers. PMID 41350579 PMC12769767
- Global Microbiome: Core and Unique Signatures Across Diverse Populations. PMID 41751912 PMC12940378
Archive description
Human microbial communities are characterized by their metagenomic and metabolic diversity, which varies by distinct body sites and influences human physiology. However, it is not yet known when in early development our microbiota community structure and function is initially established and diversifies. We thus sought to assess the taxonomic composition and potential metabolic function of the neonatal and early infant microbiota, and assess the impact of mode of delivery and its potential confounders or modifiers. A cohort of pregnant women (n=81) were prospectively enrolled for longitudinal sampling through 6 weeks post-delivery, and a second matched cross-sectional cohort (n=81) was additionally recruited for sampling once at delivery. Samples were collected for each maternal-infant dyad across multiple body sites, including stool, oral gingiva, nares, skin and vagina. 16S rRNA gene sequencing analysis and whole genome shotgun sequencing was performed to interrogate the composition and function of the neonatal and maternal microbiota. We found that the neonatal microbiota and its associated functional pathways were relatively homogenous across all body sites at delivery, with the notable exception of neonatal meconium. However, by 6 weeks, the infant microbiota structure and function had significantly expanded and diversified, with body site serving as the primary determinant of the bacterial community composition and its functional capacity. Although minor variations in the neonatal (immediately at birth) microbiota community structure were associated with Cesarean delivery in some body sites (oral, nares, and skin p<0.001, R2 = 0.038), this was not true in neonatal stool (meconium) and there was no observable difference in community function regardless of delivery mode. By 6 weeks of age, the infant microbiota structure and function had expanded and diversified with demonstrable body site specificity (p<0.001, R2 = 0.189), and no discernable differences in neither community structure nor function by Cesarean delivery were identifiable (p=0.057, R2 = 0.007). We conclude that within the first 6 weeks of life, the infant microbiota undergoes significant reorganization that is primarily driven by body site and not by mode of delivery.
How this project entered the registry
Classified as human gut / stool / oral cavity / skin / nasal / nasopharyngeal / vaginal / urogenital shotgun DNA metagenome of infant / toddler and neonate and adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage verdict include”
- body site study.description · “body sites, including stool , oral gingiva,”
- body site external_curation.infant_catalog · “infant triage verdict include (gut/stool scope)”
- body site study.description · “sites, including stool, oral gingiva, nares, skin”
- body site study.description · “oral gingiva, nares, skin and vagina. 16S”
- body site study.description · “stool, oral gingiva, nares , skin and”
- life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
- life stage study.title · “Maturation of the Infant Microbiome Community Structure”
- life stage study.description · “function of the neonatal and early infant”
- life stage study.description · “A cohort of pregnant women (n=81) were prospectively”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN05525326 | age_at_collection_days | 0 | R1 | 0.80 | sample.title | Meconium |
| SAMN05525338 | age_at_collection_days | 42 | R2 | 0.85 | paper.supp.table | Sampling, day=42 |
| SAMN05525358 | age_at_collection_days | 8766.0 | R2 | 0.75 | external.cmd source | age: 24; age_unit: Year; age_group: Adult |
| SAMN05525326 | antibiotic_exposure | no | R2 | 0.75 | paper.supp.table | Infant antibiotics=no |
| SAMN05525352 | antibiotic_exposure | no | R2 | 0.75 | external.cmd source | antibiotics_current_use: No |
| SAMN05525326 | birth_weight_grams | 3575 | R2 | 0.75 | paper.supp.table | Birth weight (gram)=3575 |
| SAMN05525336 | bmi | 22.62 | R2 | 0.75 | external.cmd source | bmi: 22.62 |
| SAMN05525326 | collection_date | 2013 | R1 | 0.85 | biosample.attribute:collection_date | 2013 |
| SAMN05525326 | country | US | R1 | 0.90 | biosample_attr | USA |
| SAMN05525326 | delivery_mode | c_section | R2 | 0.75 | paper.supp.table | Delivery mode=CS |
| SAMN05525334 | diet | exclusive_breast_milk | R2 | 0.85 | paper.supp.Table S1.xlsx[Chu et al.!Feeding regimen] | SRR8942349: Feeding regimen=breast |
| SAMN05525326 | family_id | NCS-003 | R1 | 0.70 | sample.name_rule:TITLE | NCS-003-Meconium_microbiome |
| SAMN05525326 | family_role | child | R1 | 0.70 | sample.name_rule:TITLE | NCS-003-Meconium_microbiome |
| SAMN05525334 | feeding_mode | exclusive_breast | R2 | 0.85 | paper.supp.table | Feeding regimen=breast |
| SAMN05525326 | gestational_age_weeks | 38.3 | R2 | 0.75 | paper.supp.table | Gestational age (weeks)=38.3 |
| SAMN05525326 | health_condition | healthy_control | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMN05525326 | health_condition_detail | Healthy | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMN05525334 | maternal_antibiotics | no | R2 | 0.85 | paper.supp.table | Maternal antibiotics before delivery=NO |
| SAMN05525334 | preterm_status | term | R2 | 0.85 | paper.supp.table | Gestational age=full-term |
| SAMN06887716 | sex | female | R1 | 0.70 | sample.name_rule:title | NCS_008_Stool_maternal3.out_1 |
| SAMN05525326 | sex | male | R2 | 0.75 | paper.supp.table | Gender=male |
| SAMN05525342 | subject_id | 2 | R1 | 0.70 | sample.title | NCS-008-Stool-infant2_microbiome |
| SAMN05525462 | subject_id | PRJNA322188_NCS-003 | R1 | 0.70 | sample.name_rule:TITLE | NCS-003-I-ORAL1_microbiome |
| SAMN05525464 | subject_id | 004 | R1 | 0.70 | sample.name_rule:title | NCS-004-I-ORAL1_microbiome |
| SAMN05525326 | subject_id | PRJNA322188_NCS-003 | R2 | 0.75 | paper.supp.table | Host ID=PRJNA322188_NCS-003 |
| SAMN05525348 | subject_id | PRJNA322188_NCS-012 | R2 | 0.80 | archive | |
| SAMN05525326 | timepoint_label | Meconium | R1 | 0.70 | sample.title | NCS-003-Meconium_microbiome |
| SAMN05525386 | timepoint_label | Meconium1 | R1 | 0.70 | sample.name_rule:title | NCS-029-Meconium1_microbiome |
| SAMN05525462 | timepoint_label | visit 1 | R1 | 0.60 | sample.name_rule:TITLE | NCS-003-I-ORAL1_microbiome |
| SAMN05525336 | timepoint_label | 6wks | R2 | 0.85 | paper.supp.Table S1.xlsx[Chu et al.!Sampling from papers] | SRR8942350: Sampling from papers=6wks |
Sequencing
99 runs over 99 samples · mean 2.53 Gbp per run (median 2.58 Gbp, total 250.92 Gbp; 99 runs with a base count) · layout PAIRED 99 · platform ILLUMINA 99 · models Illumina HiSeq 2000 (99) · 75% of runs with a Sandpiper profile · first public 2017-05-08 – 2019-04-28
Authors (142)
Wang S first · Zeng S · Egan M · Cherry P · Strain C · Morais E · Boyaval P · Ryan CA · M Dempsey E · Ross RP · Stanton C last · Fontana F first · Mancabelli L · Lugli GA · Taracchini C · Alessandri G · Longhi G · Anzalone R · Viappiani A · Famo R · Brognan M · Micondo KH · Turroni F · Ventura M · D'Alfonso R · Milani C last · Patangia D · Almeida A · Zhou Z · Mu D · Paul Ross R · Tarracchini C · Bianchi MG · Rizzo SM · Argentini C · Vergna LM · Taurino G · Chiu M · Bussolati O · van Sinderen D · Vänni P first · Tejesvi MV · Paalanne N · Aagaard K · Ackermann G · Camargo CA · Eggesbø M · Hasegawa K · Hoen AG · Karagas MR · Kolho K-L · Laursen MF · Ludvigsson J · Madan J · Ownby D · Stokholm J · Tapiainen T last · Hall B first · Levy S · Dufault-Thompson K · Arp G · Zhong A · Ndjite GM · Weiss A · Braccia D · Jenkins C · Grant MR · Abeysinghe S · Yang Y · Jermain MD · Wu CH · Ma B · Jiang X 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 · Liu J last · He W first · Russel J · Klincke F · Nesme J · Sørensen SJ last · Pucci N first · Ujčič-Voortman J · Verhoeff AP · Mende DR last · Bargheet A first · Noordzij HT · Ponsero AJ · Jian C · Korpela K · Valles-Colomer M · Debelius J · Kurilshikov A · Pettersen VK 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 · Gennaioli E · Muscò A · Vitale SG · Angioni S · Huang S first · Chaudhari DS · Shukla R · Kanani P · Zeidan RS · Lin Y · Burrow W · Mankowski RT · Jain S · Yadav H last
Downloads
PRJNA322188.csv.gz (5.2 KB) · parquet (78.3 KB) — all 99 samples, every field with route and confidence · PRJNA322188_determinations.csv.gz (18.3 KB) — 1,231 evidence rows