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PRJNA648321 SRP273580

DNA extraction protocols for gut microbiota in C. difficile

Comparison of DNA extraction protocols from stool samples

Fifty-six stool samples from nine healthy volunteers and nine C. difficile patients in Lyon, France. Cross-sectional comparison of four DNA extraction methods for 16S rRNA and metagenomic sequencing, evaluating protocol efficiency and microbiota recovery. machine-written summary

56 samples · 56 runs · FR · Adult · 2022 · 11.88 Gbp / sample

Sources
✓Sequence archive 480○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 archive480 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10290636
○ 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
adult56
Condition
gi_infection_or_diarrhoea24
healthy_control24
Country
FR56
Body site
primary56
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: 13 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 43 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 11.88 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

7 of 7 people sampled more than once (56 samples; median 8, up to 8 per person).

How longitudinal and relatedness information is derived

Community composition
Escherichia 18.6%Phocaeicola 10.2%Bifidobacterium 6.5%Bacteroides 6.1%Blautia_A 3.2%Mediterraneibacter 3.1%Limosilactobacillus 2.8%Salmonella 2.8%Alistipes 2.6%Pseudomonas 2.3%Enterococcus 1.8%Streptococcus 1.6%not assigned to a genus 4.3%other genera 34.1%

Genera, mean relative abundance over 51 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category56 100%
country56 100%56
health_condition48 86%48
subject_id56 100%56
detailed_location56 100%
latitude56 100%56
location_locality56 100%56
location_region56 100%56
longitude56 100%56
collection_date48 86%48
health_condition_detail48 86%48
Papers (1)
  • Comparison of DNA extraction methods for 16S rRNA gene sequencing in the analysis of the human gut microbiome. 2023 PMID 37355726 PMC10290636 own_data
Details
Archive description

The gut microbiome is widely analyzed using high-throughput sequencing, such as 16S rRNA gene amplicon sequencing and shotgun metagenomic sequencing (SMS). DNA extraction is known to have a large impact on the metagenomic analyses. The aim of this study was to select a unique and best performing DNA extraction protocol for both metagenomic sequencing methods. In that context, four commonly used DNA extraction methods were compared for the analysis of the gut microbiota. Stand-alone versions were evaluated against modified protocols using a stool preprocessing device (SPD, bioMerieux) in order to facilitate DNA extraction. Stool samples from nine healthy volunteers and nine patients with a Clostridium Difficile infection were extracted with all protocols and sequenced with both metagenomic methods. Protocols were ranked using wet- and dry-lab criteria, including quality control of extracted genomic DNA, alpha-diversity, accuracy using a mock community of known composition and repeatability across technical replicates.

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 study.title · “DNA extraction protocols from stool samples”
  • life stage study.description · “nine healthy volunteers and nine patients”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN15638185collection_date2017-01-04R10.90biosample.attribute:collection_date2017-01-04
SAMN15638185countryFRR10.90sample.attr.geo_loc_nameFrance: Lyon
SAMN15638185health_conditiongi_infection_or_diarrhoeaR10.90biosample_attrCDI positive
SAMN15638185health_condition_detailCDI positiveR10.90sample.attr.host_diseaseCDI positive
SAMN15638185latitude45.4300R10.90biosample.attribute:lat_lon45.43 N 4.49 E
SAMN15638185location_localityLyonR10.85biosample.attribute:geo_loc_nameFrance: Lyon
SAMN15638185location_regionRhone-AlpesR10.60biosample.attribute:lat_lon45.43 N 4.49 E
SAMN15638185longitude4.4900R10.90biosample.attribute:lat_lon45.43 N 4.49 E
SAMN15638185subject_id2R10.70sample.name_rule:sample_aliasS-MN-2-1
Sequencing

56 runs over 56 samples · mean 12.07 Gbp per run (median 11.88 Gbp, total 675.67 Gbp; 56 runs with a base count) · layout PAIRED 56 · platform ILLUMINA 56 · models NextSeq 500 (56) · 91% of runs with a Sandpiper profile · first public 2022-10-20 – 2022-10-21

Authors (13)

Elie C first · Perret M · Hage H · Sentausa E · Hesketh A · Louis K · Fritah-Lafont A · Leissner P · Vachon C · Rostaing H · Reynier F · Gervasi G · Saliou A last

Downloads

PRJNA648321.csv.gz (2.3 KB) · parquet (71.8 KB) — all 56 samples, every field with route and confidence · PRJNA648321_determinations.csv.gz (4.1 KB) — 480 evidence rows

Samples (56 · every field this project has values for · hover a cell for its source)
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