Short- and long-read metagenomics expand individualized structural variations in gut microbiomes

被引:57
作者
Chen, Liang [1 ]
Zhao, Na [1 ]
Cao, Jiabao [1 ,2 ]
Liu, Xiaolin [1 ,2 ]
Xu, Jiayue [1 ]
Ma, Yue [1 ]
Yu, Ying [1 ,2 ]
Zhang, Xuan [1 ]
Zhang, Wenhui [1 ]
Guan, Xiangyu [1 ]
Yu, Xiaotong [3 ]
Liu, Zhipeng [4 ]
Fan, Yanqun [4 ]
Wang, Yang [5 ]
Liang, Fan [5 ]
Wang, Depeng [5 ]
Zhao, Linhua [3 ]
Song, Moshi [2 ,6 ,7 ,8 ]
Wang, Jun [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Microbiol, CAS Key Lab Pathogen Microbiol & Immunol, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] China Acad Chinese Med Sci, Guanganmen Hosp, Beijing, Peoples R China
[4] Biotree Shanghai, Shanghai, Peoples R China
[5] Grand Biosci, Beijing, Peoples R China
[6] Chinese Acad Sci, Inst Zool, State Key Lab Membrane Biol, Beijing, Peoples R China
[7] Chinese Acad Sci, Inst Stem Cell & Regenerat, Beijing, Peoples R China
[8] Beijing Inst Stem Cell & Regenerat Med, Beijing 100101, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
GENOME; GENERATION; PREDICTION; DATABASE; SERUM; TOOL;
D O I
10.1038/s41467-022-30857-9
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
Here, Wang and colleagues combine short and long sequencing reads to characterize structural variations, prophage and CRISPR spacer elements in human gut microbiomes, and reveal functional differences at a finer level of bacterial strains. In-depth profiling of genetic variations in the gut microbiome is highly desired for understanding its functionality and impacts on host health and disease. Here, by harnessing the long read advantage provided by Oxford Nanopore Technology (ONT), we characterize fine-scale genetic variations of structural variations (SVs) in hundreds of gut microbiomes from healthy humans. ONT long reads dramatically improve the quality of metagenomic assemblies, enable reliable detection of a large, expanded set of structural variation types (notably including large insertions and inversions). We find SVs are highly distinct between individuals and stable within an individual, representing gut microbiome fingerprints that shape strain-level differentiations in function within species, complicating the associations to metabolites and host phenotypes such as blood glucose. In summary, our study strongly emphasizes that incorporating ONT reads into metagenomic analyses expands the detection scope of genetic variations, enables profiling strain-level variations in gut microbiome, and their intricate correlations with metabolome.
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页数:12
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