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PRJEB48605 ERP132991

Longitudinal diet and gut microbiota study in Germany

Long-term effects of diet on human gut microbiota composition employing shotgun metagenomics data analysis

149 longitudinal gut metagenome samples from Germany, studying long-term effects of diet on gut microbiota composition, including amino acid auxotrophy distribution. machine-written summary

149 samples · 149 runs · DE · Age unknown · 2021 · 4.95 Gbp / sample

Sources
✓Sequence archive 1,043○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 archive1,043 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10689445
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
unknown149
Country
DE149
Body site
primary149
Collected 2012–2015
2012: 72 samples2015: 77 samples20122015
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 %)this project, 1–3 Gbp: 8 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 140 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 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 4.95 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

65 of 84 people sampled more than once (130 samples; median 2, up to 2 per person) · follow-up median 3.0 y (max 3.0 y) · median interval between samples 3.0 y (time from visit codes mapped to the stated schedule).

BSP_0018BSP_0018: day 0BSP_0018: day 1096BSP_0027BSP_0027: day 0BSP_0027: day 1096BSP_0051BSP_0051: day 0BSP_0051: day 1096BSP_0076BSP_0076: day 0BSP_0076: day 1096BSP_0092BSP_0092: day 0BSP_0092: day 1096BSP_0111BSP_0111: day 0BSP_0111: day 1096BSP_0219BSP_0219: day 0BSP_0219: day 1096BSP_0238BSP_0238: day 0BSP_0238: day 1096BSP_0264BSP_0264: day 0BSP_0264: day 1096BSP_0306BSP_0306: day 0BSP_0306: day 1096BSP_0337BSP_0337: day 0BSP_0337: day 1096BSP_0350BSP_0350: day 0BSP_0350: day 1096BSP_0402BSP_0402: day 0BSP_0402: day 1096BSP_0676BSP_0676: day 0BSP_0676: day 1096BSP_0682BSP_0682: day 0BSP_0682: day 1096BSP_0803BSP_0803: day 0BSP_0803: day 1096BSP_0891BSP_0891: day 0BSP_0891: day 1096BSP_0962BSP_0962: day 0BSP_0962: day 1096BSP_1228BSP_1228: day 0BSP_1228: day 1096BSP_1273BSP_1273: day 0BSP_1273: day 1096BSP_1324BSP_1324: day 0BSP_1324: day 1096BSP_1442BSP_1442: day 0BSP_1442: day 1096BSP_1447BSP_1447: day 0BSP_1447: day 1096BSP_1519BSP_1519: day 0BSP_1519: day 1096BSP_1568BSP_1568: day 0BSP_1568: day 1096BSP_1632BSP_1632: day 0BSP_1632: day 1096BSP_1651BSP_1651: day 0BSP_1651: day 1096BSP_1676BSP_1676: day 0BSP_1676: day 1096BSP_1722BSP_1722: day 0BSP_1722: day 1096BSP_1729BSP_1729: day 0BSP_1729: day 1096BSP_1735BSP_1735: day 0BSP_1735: day 1096BSP_1742BSP_1742: day 0BSP_1742: day 1096BSP_1754BSP_1754: day 0BSP_1754: day 1096BSP_1755BSP_1755: day 0BSP_1755: day 1096BSP_1756BSP_1756: day 0BSP_1756: day 1096BSP_1796BSP_1796: day 0BSP_1796: day 10960 d9 mo18 mo2.3 y3.0 y

Each row is one person (36 shown of 65); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 9.4%Prevotella 7.4%Alistipes 6.4%Phocaeicola 5.9%Faecalibacterium 4.5%Dialister 3.6%Gemmiger 2.5%Vescimonas 2.4%Hominicoprocola 2.2%Roseburia 2.2%Cryptobacteroides 2.1%Ruminococcoides 2.1%not assigned to a genus 5.8%other genera 43.5%

Genera, mean relative abundance over 139 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country149 100%149
health_condition0 0%
subject_id149 100%149
collection_date149 100%149
detailed_location149 100%
latitude149 100%149
location_region149 100%149
longitude149 100%149
timepoint_label149 100%149
Papers (1)
  • Amino acid auxotrophies in human gut bacteria are linked to higher microbiome diversity and long-term stability. 2023 PMID 37891427 PMC10689445 unsure
Details
Archive description

Longitudinal effects of diet on human gut microbiota composition employing shotgun metagenomics data analysis

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.62. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “human gut microbiota composition”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA10813519collection_date2012R10.90biosample.attribute:collection_date2012
SAMEA10813519countryDER10.90sample.attr.geographic_location_country_and_or_seaGermany
SAMEA10813519latitude54.3213R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude54.32133 10.13489
SAMEA10813519location_regionSchleswig-HolsteinR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude54.32133 10.13489
SAMEA10813519longitude10.1349R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude54.32133 10.13489
SAMEA10813519subject_idBSP_0018R10.70sample.name_rule:aliasBSP_0018.F1
SAMEA10813519timepoint_labelTimePoint 1R10.85biosample.attribute:descriptionTimePoint 1
Sequencing

149 runs over 149 samples · mean 4.90 Gbp per run (median 4.95 Gbp, total 730.32 Gbp; 149 runs with a base count) · layout PAIRED 149 · platform ILLUMINA 149 · models Illumina MiSeq (149) · 93% of runs with a Sandpiper profile · first public 2021-11-29

Authors (13)

Starke S first · Harris DMM · Zimmermann J · Schuchardt S · Oumari M · Frank D · Bang C · Rosenstiel P · Schreiber S · Frey N · Franke A · Aden K · Waschina S last

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata

Downloads

PRJEB48605.csv.gz (4.9 KB) · parquet (76.0 KB) — all 149 samples, every field with route and confidence · PRJEB48605_determinations.csv.gz (7.5 KB) — 1,043 evidence rows

Samples (149 · every field this project has values for · hover a cell for its source)
Loading the sample table…