Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample

被引:39
|
作者
Mas-Lloret, Joan [1 ,2 ,3 ]
Obon-Santacana, Mireia [1 ,2 ,3 ]
Ibanez-Sanz, Gemma [1 ,2 ,3 ,4 ]
Guino, Elisabet [1 ,2 ,3 ]
Pato, Miguel L. [5 ]
Rodriguez-Moranta, Francisco [4 ]
Mata, Alfredo [6 ]
Garcia-Rodriguez, Ana [7 ]
Moreno, Victor [1 ,2 ,3 ,8 ]
Pimenoff, Ville Nikolai [1 ,2 ,3 ,9 ,10 ]
机构
[1] Catalan Inst Oncol ICO, Oncol Data Analyt Program, Barcelona, Spain
[2] Bellvitge Inst Biomed Res IDIBELL, Colorectal Canc Grp, ONCOBELL Program, Barcelona, Spain
[3] Consortium Biomed Res Epidemiol & Publ Hlth CIBER, Barcelona, Spain
[4] Bellvitge Univ Hosp IDIBELL, Gastroenterol Dept, Barcelona, Spain
[5] Bellvitge Biomed Biomed Res Inst IDIBELL, Canc Epigenet & Biol Program PEBC, Barcelona, Catalonia, Spain
[6] Moises Broggi Hosp, Digest Syst Serv, St Joan Despi, Spain
[7] Viladecans Hosp IDIBELL, Digest Syst Serv, Endoscopy Unit, Viladecans, Spain
[8] Univ Barcelona, Dept Clin Sci, Fac Med, Barcelona, Spain
[9] Natl Canc Ctr Finland FICAN MID, Stockholm, Sweden
[10] Karolinska Inst, Stockholm, Sweden
关键词
METAGENOMICS; IMPACT;
D O I
10.1038/s41597-020-0427-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The gut microbiome has a fundamental role in human health and disease. However, studying the complex structure and function of the gut microbiome using next generation sequencing is challenging and prone to reproducibility problems. Here, we obtained cross-sectional colon biopsies and faecal samples from nine participants in our COLSCREEN study and sequenced them in high coverage using Illumina pair-end shotgun (for faecal samples) and IonTorrent 16S (for paired feces and colon biopsies) technologies. The metagenomes consisted of between 47 and 92 million reads per sample and the targeted sequencing covered more than 300 k reads per sample across seven hypervariable regions of the 16S gene. Our data is freely available and coupled with code for the presented metagenomic analysis using up-to-date bioinformatics algorithms. These results will add up to the informed insights into designing comprehensive microbiome analysis and also provide data for further testing for unambiguous gut microbiome analysis.
引用
收藏
页数:13
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