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Status |
Public on Apr 02, 2022 |
Title |
A2 |
Sample type |
SRA |
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Source name |
fecal
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Organism |
human feces metagenome |
Characteristics |
tissue: fecal treatment: In-vitro co-fermentation of feces and satsuma orange flavonoids for 24 h
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Treatment protocol |
The fresh fecal samples were immediately collected, weighed and diluted in anaerobic, sterile phosphate-buffered saline (PBS, pH 7, 0.10 M) to prepare 10% fecal homogenate suspensions (w/v). Each culture consisted of sterilized VIS medium (5 mL) fecal suspension (500 μL), and CPFE sample (0.10 g/mL, 500 μL).
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Growth protocol |
Anaerobic fermentation (10% H2, 10% CO2 and 80% N2) at 37 °C was performed in an anaerobic workstation (DG250, Don Whitley Scientific, Bingley, UK). After 24 h, fecal fermentation suspension (1 mL) was collected.
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Extracted molecule |
genomic DNA |
Extraction protocol |
Genomic DNA was extracted from the fecal fermentation suspension with a QIAamp PowerFecal DNA extraction kit, according to the manufacturer’s instructions. 16S rDNA gene high-throughput sequencing of the V3-V4 region was performed by Biomarker Bio-Tech Co., Ltd. (Beijing, China), with an Illumina MiSeq platform.
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Library strategy |
OTHER |
Library source |
genomic |
Library selection |
other |
Instrument model |
Illumina NovaSeq 6000 |
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Data processing |
Library strategy: 16S rDNA DNA-seq Total DNA extracted from the sample Using FLASH v1.2.7 software, the reads of each sample were spliced by overlapping, and the obtained splicing sequence was the original Tag data (Raw Tags) Using Trimmomatic v0.33 software to filter the spliced Raw Tags to obtain high-quality Tag data (Clean Tags) Using UCHIME v4.2 software to identify and remove chimera sequences to obtain final effective data (Effective Tags) Use Usearch software to cluster effective data at the 97% similarity level to obtain OTU. By comparing the representative sequences of OTUs with the Silva (bacteria) taxonomy database, the species classification information corresponding to each OTU can be obtained, and then the community composition of each sample can be counted at each level (phylum, class, order, family, genus, species). The QIIME software was used to generate species abundance tables at different taxonomic levels, and then the R language tool was used to draw the community structure map of the samples at each taxonomic level. Assembly: V3-V4 region of the 16S rDNA gene Supplementary files format and content: tab-delimited text file includes OTU relative abundance of each sample
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Submission date |
Mar 30, 2022 |
Last update date |
Apr 02, 2022 |
Contact name |
zuorui xie |
E-mail(s) |
xiezuorui2020@outlook.com
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Organization name |
ZFM
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Street address |
Zhejiang Gongshang University
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City |
Hangzhou |
ZIP/Postal code |
310000 |
Country |
China |
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Platform ID |
GPL31937 |
Series (1) |
GSE199749 |
High-throughput sequencing of in vitro fecal fermentation samples |
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Relations |
BioSample |
SAMN27070209 |
SRA |
SRX14663811 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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