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PRJNA850529 SRP382366

Gut mycobiome and host factors in Polish adults

Host factors associated with gut mycobiome structure

923 fecal samples from participants in Poland (mostly adults, with adolescents and elderly) were profiled by whole-metagenome sequencing to examine associations between gut mycobiota and 53 host-related factors, in a cross-sectional design. machine-written summary

923 samples · 923 runs · PL · Adult · 2023 · 2.34 Gbp / sample · cohort Gut Mycobiota Dysbiosis Is Associated with Melanom

Sources
✓Sequence archive 4,615○Abstract / description○Full text✓Supplementary tables 5,600–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive4,615 sample values (collection date, country, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10134842, PMC10985481
✓ Supplementary tables5,600 sample values (age, antibiotic exposure, bmi, diet, health condition, health condition detail, medication, sex)
– 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
adult829
adolescent61
elderly33
Condition
allergy_or_atopy129
cardiometabolic_other66
autoimmune_inflammatory40
ibs21
pregnancy_postpartum6
ibd_unspecified4
+2 more
Sex
male484
female438
Country
PL923
Body site
primary923
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 %)this project, 0.3–1 Gbp: 24 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 714 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 185 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 2.34 Gbp per sample0130Gbp
Community composition
Roseburia 10.0%Prevotella 6.0%Ruminococcoides 5.3%Blautia_A 3.3%Gemmiger 2.6%Fusicatenibacter 2.3%Phocaeicola 1.7%Coprococcus 1.7%Acetatifactor 1.7%Fimenecus 1.7%Vescimonas 1.4%Ruminococcus_C 1.4%not assigned to a genus 12.7%other genera 48.3%

Genera, mean relative abundance over 815 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category923 100%
country923 100%923
health_condition270 29%270
subject_id922 100%922
collection_date923 100%923
detailed_location923 100%
latitude923 100%923
location_region923 100%923
longitude923 100%923
sex922 100%922
age_at_collection_days915 99%915
smoking_status896 97%896
diet872 94%872
medication295 32%295
health_condition_detail270 29%270
bmi133 14%133
antibiotic_exposure105 11%105
Papers (2)
Details
Archive description

The study included 923 participants. Fecal DNA samples were analyzed by next-generation sequencing. Subsequently, fungi taxonomic profiles were determined and accompanied by computational and statistical analyses of the association with 53 host-related factors.</p><p>Fungal communities were characterized by a high prevalence of Saccharomyces, Candida, and Sporisorium. Ten factors were found to correlate significantly with the overall mycobiome variation. Most were dietary-related, including the consumption of chips, meat, sodas, sweetening, processed food, and alcohol, followed by age and marital status. Differences in alpha and/or beta diversity were also reported for other factors such as BMI, job type, autoimmunological diseases, and probiotics. Differential abundance analysis revealed fungal species that exhibited different patterns of changes under specific conditions.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “factors associated with gut mycobiome structure”
  • body site study.description · “included 923 participants. Fecal DNA samples were”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN29182993age_at_collection_days11688R20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!age]32
SAMN29182995antibiotic_exposureyesR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!antibiotics]MMP_0372 | antibiotics: recently
SAMN29182996bmi27.17R20.85paper.supp.cir-23-0592_supplementary_table_1_suppst1.xlsx[Metadata!BMI]MMP_0004 | BMI: 27.1664479106254
SAMN29182993collection_date2019R10.90biosample.attribute:collection_date2019
SAMN29182993countryPLR10.90sample.attr.geo_loc_namePoland
SAMN29182993dietomnivoreR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!diet]GMP_04201 | diet: diverse
SAMN29182994health_conditionallergy_or_atopyR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!disease_allergy]GMP_04202 | disease_allergy: TRUE
SAMN29182994health_condition_detaildisease_allergy=TRUER20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!disease_allergy]GMP_04202 | disease_allergy: TRUE
SAMN29182993latitude52.4064R10.90biosample.attribute:lat_lon52.4064 N 16.9252 E
SAMN29182993location_regionGreater Poland VoivodeshipR10.60biosample.attribute:lat_lon52.4064 N 16.9252 E
SAMN29182993longitude16.9252R10.90biosample.attribute:lat_lon52.4064 N 16.9252 E
SAMN29182993medicationprobiotic_or_prebioticR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!probiotics]GMP_04201 | probiotics: seasonal
SAMN29182993sexmaleR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!sex]male
SAMN29182993smoking_statusneverR20.85paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!smoking]GMP_04201 | smoking: no
SAMN29182993subject_id722R20.80paper.supp.msystems.00986-22-s0001.xlsx[Sheet1!id]id 722 | code GMP_04201
Sequencing

923 runs over 923 samples · mean 2.32 Gbp per run (median 2.34 Gbp, total 2,144.81 Gbp; 923 runs with a base count) · layout PAIRED 923 · platform ILLUMINA 923 · models NextSeq 550 (923) · 88% of runs with a Sandpiper profile · first public 2023-01-01

Authors (13)

Szóstak N first · Handschuh L · Samelak-Czajka A · Tomela K · Schmidt M · Pruss · Milanowska-Zabel K · Kozlowski P · Philips A last · Pietrzak B · Galus · Mackiewicz J · Mackiewicz A

Downloads

PRJNA850529.csv.gz (30.4 KB) · parquet (113.1 KB) — all 923 samples, every field with route and confidence · PRJNA850529_determinations.csv.gz (92.5 KB) — 10,215 evidence rows

Samples (923 · every field this project has values for · hover a cell for its source)
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