Comparison between 16S rRNA and shotgun sequencing in colorectal cancer, advanced colorectal lesions, and healthy human gut microbiota

被引:18
作者
Bars-Cortina, David [1 ,2 ]
Ramon, Elies [1 ,2 ]
Rius-Sansalvador, Blanca [1 ,2 ,3 ]
Guino, Elisabet [1 ,2 ,4 ]
Garcia-Serrano, Ainhoa [5 ]
Mach, Nuria [6 ]
Khannous-Lleiffe, Olfat [7 ,8 ]
Saus, Ester [7 ,8 ]
Gabaldon, Toni [7 ,8 ,9 ,10 ]
Ibanez-Sanz, Gemma [1 ,2 ,11 ]
Rodriguez-Alonso, Lorena [11 ]
Mata, Alfredo [12 ]
Garcia-Rodriguez, Ana [13 ]
Obon-Santacana, Mireia [1 ,2 ,4 ]
Moreno, Victor [1 ,2 ,4 ,14 ]
机构
[1] Catalan Inst Oncol ICO, Unit Biomarkers & Suceptibil UBS, Oncol Data Analyt Program ODAP, Lhospitalet Del Llobregat 08908, Barcelona, Spain
[2] Bellvitge Biomed Res Inst IDIBELL, Oncobell Program, Lhospitalet De Llobregat 08908, Barcelona, Spain
[3] Univ Barcelona UB, Doctoral Programme Biomed, Barcelona 08907, Spain
[4] Consortium Biomed Res Epidemiol & Publ Hlth CIBERE, Madrid 28029, Spain
[5] Karolinska Inst, Dept Clin Sci Intervent & Technol, S-14186 Stockholm, Sweden
[6] Univ Toulouse, IHAP, INRAE, ENVT, Toulouse, France
[7] Barcelona Supercomp Ctr BSC CNS, Barcelona 08034, Spain
[8] Barcelona Inst Sci & Technol, Inst Res Biomed IRB Barcelona, Barcelona 08028, Spain
[9] Catalan Inst Res & Adv Studies ICREA, Barcelona 08010, Spain
[10] Ctr Invest Biomed Red Enfermedades Infecciosas CIB, Madrid 08028, Spain
[11] Bellvitge Univ Hosp, Gastroenterol Dept, Lhospitalet De Llobregat 08907, Barcelona, Spain
[12] Moises Broggi Hosp, Digest Syst Serv, Sant Joan Despi 08970, Spain
[13] Viladecans Hosp IDIBELL, Digest Syst Serv, Endoscopy Unit, Viladecans 08840, Spain
[14] Univ Barcelona UB, Fac Med & Hlth Sci, Dept Clin Sci, Inst Complex Syst UBICS, Lhospitalet De Llobregat 08908, Barcelona, Spain
关键词
Microbiome; 16S; Shotgun; Colorectal cancer; Comparison; WHOLE-GENOME SHOTGUN;
D O I
10.1186/s12864-024-10621-7
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
BackgroundGut dysbiosis has been associated with colorectal cancer (CRC), the third most prevalent cancer in the world. This study compares microbiota taxonomic and abundance results obtained by 16S rRNA gene sequencing (16S) and whole shotgun metagenomic sequencing to investigate their reliability for bacteria profiling. The experimental design included 156 human stool samples from healthy controls, advanced (high-risk) colorectal lesion patients (HRL), and CRC cases, with each sample sequenced using both 16S and shotgun methods. We thoroughly compared both sequencing technologies at the species, genus, and family annotation levels, the abundance differences in these taxa, sparsity, alpha and beta diversities, ability to train prediction models, and the similarity of the microbial signature derived from these models.ResultsAs expected, the results showed that 16S detects only part of the gut microbiota community revealed by shotgun, although some genera were only profiled by 16S. The 16S abundance data was sparser and exhibited lower alpha diversity. In lower taxonomic ranks, shotgun and 16S highly differed, partially due to a disagreement in reference databases. When considering only shared taxa, the abundance was positively correlated between the two strategies. We also found a moderate correlation between the shotgun and 16S alpha-diversity measures, as well as their PCoAs. Regarding the machine learning models, only some of the shotgun models showed some degree of predictive power in an independent test set, but we could not demonstrate a clear superiority of one technology over the other. Microbial signatures from both sequencing techniques revealed taxa previously associated with CRC development, e.g., Parvimonas micra.ConclusionsShotgun and 16S sequencing provide two different lenses to examine microbial communities. While we have demonstrated that they can unravel common patterns (including microbial signatures), shotgun often gives a more detailed snapshot than 16S, both in depth and breadth. Instead, 16S will tend to show only part of the picture, giving greater weight to dominant bacteria in a sample. Therefore, we recommend choosing one or another sequencing technique before launching a study. Specifically, shotgun sequencing is preferred for stool microbiome samples and in-depth analyses, while 16S is more suitable for tissue samples and studies with targeted aims.
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页数:20
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