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PRJNA493884 SRP162899

Gut microbiome sequencing method comparison, Taizhou, China

Comprehensive evaluation of sequencing variation caused by sampling site, sequencer and library preparation method in microbiome research

Cross-sectional study of 47 gut microbiome samples from Taizhou, China, comparing sampling sites, sequencers (HiSeq2500, X10, NovaSeq), and 16S vs. whole-metagenome shotgun library preparation protocols. machine-written summary

47 samples · 47 runs · CN · Age unknown · 2019 · 2.35 Gbp / sample

Sources
✓Sequence archive 282–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 archive282 sample values (collection date, country, latitude, location locality, longitude, subject id)
– Abstract / descriptionno abstract or project description
– Full textno open-access full text linked
– 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
unknown47
Country
CN47
Body site
primary47
Collected 2016–2017
2016: 3 samples2017: 44 samples20162017
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: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 5 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 19 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 10 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 12 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 2.35 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

4 of 4 people sampled more than once (47 samples; median 12, up to 12 per person) · follow-up median 5 mo (max 5 mo) · median interval between samples 5 mo (time from collection dates).

AA: day 0A: day 0A: day 0A: day 157A: day 157A: day 157A: day 157A: day 157A: day 157A: day 157A: day 157A: day 1570 d39 d3 mo4 mo5 mo

Each row is one person (1 shown of 4); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 20.8%Faecalibacterium 6.6%Megamonas 5.5%Gemmiger 4.7%Escherichia 3.9%Akkermansia 3.1%Roseburia 3.1%Lachnospira 2.5%Mediterraneibacter 2.3%CAG-103 1.8%Bifidobacterium 1.8%Klebsiella 1.8%not assigned to a genus 15.1%other genera 27.0%

Genera, mean relative abundance over 37 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%
country47 100%47
health_condition0 0%
subject_id47 100%47
collection_date47 100%47
detailed_location47 100%
latitude47 100%47
location_locality47 100%47
longitude47 100%47
Details
Archive description

The gut microbiome sequencing has made highly diverse microbiota profiling possible and push the frontiers of Omics studies in human biology. However, there are thorny issues in the microbiome sequencing quality control aspect. How the sampling site affects sequencing results and the extent of variations between sequencers with respect to whole-metagenome shotgun (WMS) library preparation protocols remains a neglected area of research. It is also unknown whether sequencing results from WMS protocols are comparable with those from the 16s amplicon protocol.</p><p>In the current study, we compared biological replicates from different sampling sites, evaluated three widely adopted sequencers (HiSeq2500, X10 and NovSeq) with the WMS protocol, and further compared the 16s data with the WMS library protocol. Finally, several algorithms were employed and compared to improve the population-wide comparability between the 16s and WMS protocols. We found heterogeneity between two sampling sites, comparable sequencing results generated by three sequencers, and major taxonomic profiling differences between the 16s protocol and WMS protocol. Additionally, our approach provides an effective tool to enhance the population-wide comparability between 16s and WMS data. Our orthogonal study not only the irreproducibility behind sampling sites, sequencer, and library preparation protocol, but also provided an effective way to reduce the biased readout of the datasets. We hope this work future can constitute a fundamental reference for WMS sequencer choice, sample preparation, and integrated analysis across 16s and WMS datasets.

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.host_tax_id · “9606”
  • body site study.description · “gut microbiome sequencing has made highly diverse”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN10144967collection_date2017-04-14R10.90biosample.attribute:collection_date2017-04-14
SAMN10144967countryCNR10.90sample.attr.geo_loc_nameChina: Taizhou
SAMN10144967latitude32.3900R10.90biosample.attribute:lat_lon32.39 N 119.90 E
SAMN10144967location_localityTaizhouR10.85biosample.attribute:geo_loc_nameChina: Taizhou
SAMN10144967longitude119.9000R10.90biosample.attribute:lat_lon32.39 N 119.90 E
SAMN10144967subject_idAR10.70sample.name_rule:sample_aliasA1-T1-WMS-X10
Sequencing

47 runs over 47 samples · mean 6.91 Gbp per run (median 2.35 Gbp, total 325.00 Gbp; 47 runs with a base count) · layout PAIRED 47 · platform ILLUMINA 47 · models Illumina HiSeq 2500 (16), Illumina NovaSeq 6000 (16), HiSeq X Ten (15) · 79% of runs with a Sandpiper profile · first public 2019-04-02

Authors (0)

No author record.

Downloads

PRJNA493884.csv.gz (1.9 KB) · parquet (70.9 KB) — all 47 samples, every field with route and confidence · PRJNA493884_determinations.csv.gz (2.4 KB) — 282 evidence rows

Samples (47 · every field this project has values for · hover a cell for its source)
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