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PRJNA925700 SRP421620

Longitudinal bacterial-fungal microbiome, Spain

2-months Longitunidal healthy human gut microbiome

143 fecal samples from healthy adults in Spain, studied longitudinally to compare bacterial and fungal (mycobiome) community composition and function, including shotgun metagenomics vs ITS sequencing and correlation with habitual diet. machine-written summary

143 samples · 143 runs · ES · Adult · 2023 · 6.15 Gbp / sample

Sources
✓Sequence archive 1,573○Abstract / description○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 archive1,573 sample values (age, bmi, collection date, country, health condition, health condition detail, latitude, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10720197
○ 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
Samples at a glance
1 sampling locations · 1 country
Age
adult143
Condition
healthy_control143
Sex
female72
male71
Country
ES143
Body site
primary143
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 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 139 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 4 samplesall 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 6.15 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

6 of 6 people sampled more than once (143 samples; median 24, up to 24 per person) · follow-up median 49 d (max 53 d) · median interval between samples 7 d (time from collection dates). Schedule stated by the source: “Weekly fecal sample collection per volunteer for 8 weeks (2 months), one sample per week” (time origin: baseline); stated follow-up 56 d.

L1L1: day 0L1: day 0L1: day 0L1: day 7L1: day 7L1: day 7L1: day 13L1: day 13L1: day 13L1: day 23L1: day 23L1: day 23L1: day 30L1: day 30L1: day 30L1: day 37L1: day 37L1: day 37L1: day 46L1: day 46L1: day 46L1: day 53L1: day 53L1: day 53L2L2: day 0L2: day 0L2: day 0L2: day 7L2: day 7L2: day 7L2: day 14L2: day 14L2: day 14L2: day 21L2: day 21L2: day 21L2: day 28L2: day 28L2: day 28L2: day 35L2: day 35L2: day 35L2: day 42L2: day 42L2: day 42L2: day 49L2: day 49L2: day 49L3L3: day 0L3: day 0L3: day 0L3: day 7L3: day 7L3: day 7L3: day 14L3: day 14L3: day 14L3: day 20L3: day 20L3: day 20L3: day 27L3: day 27L3: day 27L3: day 34L3: day 34L3: day 34L3: day 41L3: day 41L3: day 41L3: day 48L3: day 48L3: day 48L4L4: day 0L4: day 0L4: day 7L4: day 7L4: day 7L4: day 14L4: day 14L4: day 14L4: day 21L4: day 21L4: day 21L4: day 28L4: day 28L4: day 28L4: day 35L4: day 35L4: day 35L4: day 42L4: day 42L4: day 42L4: day 49L4: day 49L4: day 49L5L5: day 0L5: day 0L5: day 0L5: day 7L5: day 7L5: day 7L5: day 14L5: day 14L5: day 14L5: day 21L5: day 21L5: day 21L5: day 28L5: day 28L5: day 28L5: day 35L5: day 35L5: day 35L5: day 42L5: day 42L5: day 42L5: day 49L5: day 49L5: day 49L6L6: day 0L6: day 0L6: day 0L6: day 7L6: day 7L6: day 7L6: day 14L6: day 14L6: day 14L6: day 21L6: day 21L6: day 21L6: day 28L6: day 28L6: day 28L6: day 35L6: day 35L6: day 35L6: day 42L6: day 42L6: day 42L6: day 49L6: day 49L6: day 490 d13 d26 d40 d53 d

Each row is one person (6 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 5.4%Alistipes 4.2%Ruminococcoides 4.0%Prevotella 3.9%Bifidobacterium 3.8%Faecalibacterium 3.7%Blautia_A 3.4%Roseburia 3.3%Vescimonas 2.9%Phocaeicola 2.6%Fimenecus 2.0%Akkermansia 1.9%not assigned to a genus 5.4%other genera 53.4%

Genera, mean relative abundance over 130 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category143 100%
country143 100%143
health_condition143 100%143
subject_id143 100%143
age_at_collection_days143 100%143
bmi143 100%143
collection_date143 100%143
health_condition_detail143 100%143
latitude143 100%143
longitude143 100%143
sex143 100%143
timepoint_label143 100%143
Papers (1)
  • Shotgun metagenomics reveals interkingdom association between intestinal bacteria and fungi involving competition for nutrients. 2023 PMID 38098063 PMC10720197 own_data
Details
Archive description

The effect of diet on the composition and function of the bacterial and fungal gut microbiome in a longitudinal setting has not been robustly investigated. Here we first compared two approaches to study the fungal community (Internal-Transcribed-Spacer and shotgun metagenomics), proposed an enrichment protocol to perform a reliable mycobiome analysis, and correlated dietary data with both bacterial and fungal communities. We found that shotgun DNA sequencing after an adapted enrichment fungal protocol provided a cost-effective approach to perform gut mycobiome profiling at the species level and to integrate bacterial and fungal communities in fecal samples. The mycobiome was significantly more dynamic than the bacterial community at the compositional and functional levels. Notably, we showed that microbial diversity, composition, and functions were associated with habitual diet composition instead of driven by global dietary changes. Our study highlights a competitive inter-kingdom interaction between bacteria and fungi for food foraging.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “healthy human gut microbiome”
  • life stage sample.attr.host_age · “24 (n=143/143)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN32809018age_at_collection_days9131.0R10.85sample.attr.host_age25
SAMN32809018bmi17.63R10.90sample.attr.host_body_mass_index17.63085399
SAMN32809018collection_date2021-08-13R10.90biosample.attribute:collection_date2021-08-13
SAMN32809018countryESR10.90sample.attr.geo_loc_nameSpain
SAMN32809018health_conditionhealthy_controlR10.90biosample_attrHealthy
SAMN32809018health_condition_detailNoR10.90sample.attr.gastrointest_disordNo
SAMN32809018latitude41.4280R10.90biosample.attribute:lat_lon41.427991 N 2.141921 E
SAMN32809018longitude2.1419R10.90biosample.attribute:lat_lon41.427991 N 2.141921 E
SAMN32809018sexfemaleR10.90sample.attr.host_sexfemale
SAMN32809018subject_idL1R10.85sample.attr.individual_idL1
SAMN32809018timepoint_labelT1R10.85sample.attr.timepointT1
Sequencing

143 runs over 143 samples · mean 6.45 Gbp per run (median 6.15 Gbp, total 922.41 Gbp; 143 runs with a base count) · layout PAIRED 143 · platform ILLUMINA 143 · models Illumina NovaSeq 6000 (143) · 91% of runs with a Sandpiper profile · first public 2023-07-01

Authors (4)

Xie Z first · Canalda-Baltrons A · d'Enfert C · Manichanh C last

Downloads

PRJNA925700.csv.gz (4.3 KB) · parquet (75.8 KB) — all 143 samples, every field with route and confidence · PRJNA925700_determinations.csv.gz (8.0 KB) — 1,573 evidence rows

Samples (143 · every field this project has values for · hover a cell for its source)
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