Diversity and composition of gut microbiome of cervical cancer patients: Do results of 16S rRNA sequencing and whole genome sequencing approaches align?

被引:13
作者
Biegert, Greyson [1 ]
El Alam, Molly B. [1 ]
Karpinets, Tatiana [2 ]
Wu, Xiaogang [2 ]
Sims, Travis T. [3 ]
Yoshida-Court, Kyoko [1 ]
Lynn, Erica J. [1 ]
Yue, Jingyan [1 ]
Medrano, Andrea Delgado [1 ]
Petrosino, Joseph [4 ]
Mezzari, Melissa P. [4 ]
Ajami, Nadim J. [2 ]
Solley, Travis [1 ]
Ahmed-Kaddar, Mustapha [1 ]
Klopp, Ann H. [1 ]
Colbert, Lauren E. [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Unit 1422,1515 Holcombe Blvd, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77030 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Gynecol Oncol & Reprod Med, Houston, TX 77030 USA
[4] Baylor Coll Med, Alkek Ctr Metagen & Microbiome Res, Dept Mol Virol & Microbiol, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
16S rRNA gene sequencing; Whole genome shotgun sequencing; Gut microbiome; Cervical cancer; SHOTGUN;
D O I
10.1016/j.mimet.2021.106213
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Next generation sequencing has progressed rapidly, characterizing microbial communities beyond culture-based or biochemical techniques. 16S ribosomal RNA gene sequencing (16S) produces reliable taxonomic classifications and relative abundances, while shotgun metagenome sequencing (WMS) allows higher taxonomic and functional resolution at greater cost. The purpose of this study was to determine if 16S and WMS provide congruent information for our patient population from paired fecal microbiome samples. Results: Comparative indices were highly congruent between 16S and WMS. The most abundant genera for 16S and WMS data did not overlap. Overlap was observed at the Phylum level, as expected. However, relative abundances correlated poorly between the two methodologies (all P-value>0.05). Hierarchical clustering of both sequencing analyses identified overlapping enterotypes. Both approaches were in agreement with regard to demographic variables. Conclusion: Diversity, evenness and richness are comparable when using 16S and WMS techniques, however relative abundances of individual genera are not. Clinical associations with diversity and evenness metrics were similarly identified with WMS or 16S.
引用
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页数:10
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