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PRJNA298489 SRP064913

Library prep method comparison, 6 adult gut samples

Library preparation methodology can influence genomic and functional predictions in human microbiome research

6 adult samples (4 healthy controls) were sequenced to study how library preparation and sequencing protocol affect taxonomic and functional predictions in human microbiome analysis. machine-written summary

4 samples · 41 runs · ES · Adult · 2015 · 9.90 Gbp / sample

Sources
✓Sequence archive 26○Abstract / description○Full text○Supplementary tables✓External resources 12–User contribution–Human verified

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

what each source gave
✓ Sequence archive26 sample values (age, antibiotic exposure, collection date, intervention, sex, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC4653211, PMC5390407
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources12 sample values (country, health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult4
Condition
healthy_control4
Sex
female4
Country
ES4
Body site
primary4
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 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 4 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 87.06 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

1 of 1 people sampled more than once (4 samples; median 4, up to 4 per person) · follow-up median 56 d (max 56 d) · median interval between samples 4 d (time from collection dates). Schedule stated by the source: “Single subject (CA21) sampled at day 0, day 3, day 7, and week 8 during 7-day amoxicillin treatment” (time origin: intervention_start).

CA21CA21: day 0CA21: day 3CA21: day 7CA21: day 560 d14 d28 d42 d56 d

Each row is one person (1 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 38.7%Phocaeicola 15.7%Alistipes 7.2%Escherichia 5.3%Parabacteroides 4.1%Faecalibacterium 3.6%Megamonas 2.5%Sutterella 2.0%Roseburia 1.7%Vescimonas 1.2%Gemmiger 0.9%Mediterraneibacter 0.9%not assigned to a genus 3.4%other genera 12.8%

Genera, mean relative abundance over 4 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category4 100%
country4 100%4
health_condition4 100%4
subject_id4 100%4
age_at_collection_days4 100%4
antibiotic_exposure4 100%4
collection_date4 100%4
health_condition_detail4 100%4
sex4 100%4
timepoint_label4 100%4
intervention2 50%2
Papers (3)
  • Library preparation methodology can influence genomic and functional predictions in human microbiome research. 2015 PMID 26512100 PMC4653211 own_data
  • Utilization of defined microbial communities enables effective evaluation of meta-genomic assemblies. 2017 PMID 28407798 PMC5390407 own_data
  • Quantifying and Cataloguing Unknown Sequences within Human Microbiomes. 2022 PMID 35258340 PMC9052204 unsure
Details
Archive description

This project investigates how library preparation and sequencing protocol influence the taxonomy and function analysis of microbial species in human microbiome research.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.70. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
  • life stage sample.attr.host_age · “22 (n=4/6)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN04168656age_at_collection_days8035.5R10.85sample.attr.host_age22
SAMN04168656antibiotic_exposureyesR10.85biosample.attribute:chem_administrationantibiotics
SAMN04168656collection_date2014-03-17R10.90biosample.attribute:collection_date2014-03-17
SAMN04168656countryESR20.75external.gmrepo sourcecountry: Spain
SAMN04168656health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN04168656health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN04168657interventionantibioticR10.85biosample.attribute:DESCRIPTIONAmoxicillin 7 day treatment, day 3
SAMN04168656sexfemaleR10.90sample.attr.host_sexfemale
SAMN04168656subject_idCA21R10.85biosample.attribute:host_subject_idCA21
SAMN04168656timepoint_labelday 0R10.70sample.name_rule:attr:descriptionAmoxicillin 7 day treatment, day 0
Sequencing

41 runs over 4 samples · mean 10.16 Gbp per run (median 9.48 Gbp, total 416.51 Gbp; 41 runs with a base count) · layout PAIRED 41 · platform ILLUMINA 41 · models Illumina HiSeq 2500 (41) · 83% of runs with a Sandpiper profile · first public 2015-10-18 – 2017-02-28

Authors (20)

Jones MB first · Highlander SK · Anderson EL · Li W · Dayrit M · Klitgord N · Fabani MM · Seguritan V · Green J · Pride DT · Yooseph S · Biggs W · Nelson KE · Venter JC last · Greenwald WW first · Garner C · Modha S first · Robertson DL · Hughes J · Orton RJ last

Downloads

PRJNA298489.csv.gz (1.0 KB) · parquet (70.3 KB) — all 4 samples, every field with route and confidence · PRJNA298489_determinations.csv.gz (1.2 KB) — 38 evidence rows

Samples (4 · every field this project has values for · hover a cell for its source)
Loading the sample table…