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PRJNA964705 SRP437099

Dairy farmer, cow, and non-farmer nasal/gut microbiomes, WI

Nasal and fecal communities of cows, farmers, and non-farmers. Raw sequence reads

891 nasal and fecal samples from dairy farmers, dairy cows, and matched non-farmers in Marshfield, WI, in a longitudinal study of occupational farm-exposure effects on microbiome composition. machine-written summary

444 samples · 891 runs · US · Age unknown · 2024 · 4.16 Gbp / sample

Sources
✓Sequence archive 3,242○Abstract / description✓Full text 444–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 archive3,242 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text444 sample values (location site) · PMC11966613
– Supplementary tablesno supplementary tables available (or none open access)
– 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
adult444
Country
US444
Body site
primary436
excluded8
Collected 2019–2020
2019: 348 samples2020: 96 samples20192020
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 %)this project, 0.1–0.3 Gbp: 5 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 124 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 126 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 179 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 8 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 2 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 2.64 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

86 of 117 people sampled more than once (254 samples; median 3, up to 5 per person) · follow-up median 6 mo (max 12 mo) · median interval between samples 3 mo (time from collection dates). Schedule stated by the source: “Multiple visit timepoints per subject (S001, V101-V401, P001, F001, W001) over a year-long period”; stated follow-up 12 mo.

D0101D0101: day 0D0101: day 94D0101: day 183D0102D0102: day 0D0102: day 105D0102: day 266D0104D0104: day 0D0104: day 95D0104: day 192D0104: day 278D0106D0106: day 0D0106: day 99D0106: day 168D0109D0109: day 0D0109: day 83D0109: day 140D0110D0110: day 0D0110: day 73D0110: day 204D0111D0111: day 0D0111: day 103D0111: day 188D0112D0112: day 0D0112: day 90D0112: day 168D0116D0116: day 0D0116: day 80D0116: day 130D0119D0119: day 0D0119: day 93D0119: day 179D0120D0120: day 0D0120: day 87D0120: day 173D0121D0121: day 0D0121: day 81D0121: day 166D0123D0123: day 0D0123: day 88D0123: day 178D0124D0124: day 0D0124: day 84D0124: day 174D0201D0201: day 0D0201: day 100D0201: day 168D0210D0210: day 0D0210: day 91D0210: day 181D0210: day 259D0216D0216: day 0D0216: day 97D0216: day 180D0219D0219: day 0D0219: day 91D0219: day 179D0302D0302: day 0D0302: day 90D0302: day 182D0302: day 268D0402D0402: day 0D0402: day 90D0402: day 182D0402: day 266W0102W0102: day 0W0102: day 76W0102: day 174W0102: day 258W0102: day 356W0103W0103: day 0W0103: day 69W0103: day 161W0103: day 248W0103: day 332W0104W0104: day 0W0104: day 67W0104: day 166W0104: day 250W0104: day 341W0105W0105: day 0W0105: day 63W0105: day 161W0105: day 245W0105: day 336W0106W0106: day 0W0106: day 62W0106: day 160W0106: day 244W0107W0107: day 0W0107: day 62W0107: day 167W0107: day 244W0109W0109: day 0W0109: day 90W0109: day 167W0110W0110: day 0W0110: day 91W0110: day 168W0110: day 251W0111W0111: day 0W0111: day 92W0111: day 165W0111: day 252W0112W0112: day 0W0112: day 96W0112: day 187W0112: day 273W0114W0114: day 0W0114: day 86W0114: day 175W0114: day 265W0115W0115: day 0W0115: day 85W0115: day 203W0115: day 263W0202W0202: day 0W0202: day 75W0202: day 174W0202: day 257W0202: day 355W0210W0210: day 0W0210: day 91W0210: day 168W0210: day 251W0302W0302: day 0W0302: day 68W0302: day 165W0302: day 250W0402W0402: day 0W0402: day 67W0402: day 166W0402: day 249W0402: day 3460 d3 mo6 mo9 mo12 mo

Each row is one person (36 shown of 86); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Blautia_A 5.4%Faecousia 4.9%Escherichia 4.6%Cryptobacteroides 3.1%Ruminococcoides 3.0%Roseburia 2.9%Alistipes 2.2%Bifidobacterium 2.0%Methanocatella 2.0%CAG-791 1.7%Collinsella 1.4%Phocaeicola 1.4%not assigned to a genus 18.0%other genera 47.3%

Genera, mean relative abundance over 699 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category444 100%
country444 100%444
health_condition0 0%
subject_id293 66%293
collection_date444 100%444
detailed_location444 100%
latitude444 100%444
location_locality444 100%444
location_region444 100%444
location_site444 100%444
longitude444 100%444
timepoint_label285 64%285
Papers (1)
  • Longitudinal dynamics of farmer and livestock nasal and faecal microbiomes and resistomes. 2024 PMID 38570675 PMC11966613 own_data
Details
Archive description

Profiling of the nasal and gut microbiomes of dairy cows, dairy farmers, and non-farmers to assess the occupational signatures of the farmer microbial communities.

How this project entered the registry

Classified as human and non-human (mixed) gut / stool / nasal / nasopharyngeal shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.65. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “upper respiratory tract metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN34495661collection_date2019-03-20R10.90biosample.attribute:collection_date2019-03-20
SAMN34495661countryUSR10.90sample.attr.geo_loc_nameUSA: Marshfield, WI
SAMN34495661latitude44.6900R10.90biosample.attribute:lat_lon44.69 N 90.17 W
SAMN34495661location_localityMarshfieldR10.85biosample.attribute:geo_loc_nameUSA: Marshfield, WI
SAMN34495661location_regionWisconsinR10.75biosample.attribute:geo_loc_nameUSA: Marshfield, WI
SAMN34495661location_siteMarshfield Clinic Health SystemR30.70paper.fulltext.methodsMarshfield Clinic Health System (MCHS) Medical History Number
SAMN34495661longitude-90.1700R10.90biosample.attribute:lat_lon44.69 N 90.17 W
SAMN34495661subject_idW0102R10.85sample.attr.subject_idW0102
SAMN34495661timepoint_labelW001R10.70sample.name_rule:alias19-W0102-W001fc01
Sequencing

891 runs over 444 samples · mean 4.03 Gbp per run (median 4.16 Gbp, total 3,594.50 Gbp; 891 runs with a base count) · layout PAIRED 891 · platform ILLUMINA 891 · models Illumina NovaSeq 6000 (740), NextSeq 2000 (151) · 89% of runs with a Sandpiper profile · first public 2024-01-30

Authors (15)

Mahmud B first · Vargas RC · Sukhum KV · Patel S · Liao J · Hall LR · Kesaraju A · Le T · Kitchner T · Kronholm E · Koshalek K · Bendixsen CG · VanWormer JJ · Shukla SK · Dantas G last

Downloads

PRJNA964705.csv.gz (13.5 KB) · parquet (88.6 KB) — all 444 samples, every field with route and confidence · PRJNA964705_determinations.csv.gz (26.9 KB) — 3,686 evidence rows

Samples (444 · every field this project has values for · hover a cell for its source)
Loading the sample table…