Revealing an unprecedented diversity of episymbiotic Saccharibacteria in a high-quality genome collection

The episymbiotic Candidatus Saccharibacteria is the most studied lineage of candidate phyla radiation. Living an epiparasitic lifestyle, Saccharibacteria might be associated with human mucosal diseases by modulating the structure of the oral microbiome through interactions with host bacteria. However, the knowledge of Saccharibacterial genomic diversity and the potential underlying their adaptation to a wide range of habitats remains limited. Here, we construct a high-quality genome collection of Saccharibacteria from multiple sources, providing 2041 high-quality genomes and previously unidentified taxa. The comparative genomic analysis shows the widespread metabolic defects of Saccharibacteria. Specific metabolic modules are commonly found in Saccharibacteria of different habitats, suggesting Saccharibacteria might have undergone habitat adaptation during the transition from different environments. We additionally show that Saccharibacteria account for ~1% of the Chinese oral microbiome. A preliminary analysis of rheumatoid arthritis individuals and healthy controls implies that Saccharibacteria might be associated with human systemic disease.

Authors

Institutions

Publication Details

Journal
npj Biofilms and Microbiomes
Published
2024-12-19
DOI
https://doi.org/10.1038/s41522-024-00617-2
Citations
5
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
2.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing an unprecedented diversity of episymbiotic Saccharibacteria in a high-quality genome collection

Xiaoqian Lin, Liang Xiao, Tongyuan Hu, Yuanqiang Zou et al.
5 citations
npj Biofilms and Microbiomes
Oral microbiology and periodontitis research
2.00
article

Revealing an unprecedented diversity of episymbiotic Saccharibacteria in a high-quality genome collection

Xiaoqian Lin, Liang Xiao, Tongyuan Hu, Yuanqiang Zou, Xilin Hou, Zhuye Jie, Xin Tong, Hewei Liang, Xin Jin, Xiaofang Li, Mengmeng Wang, Xiaowei Gao, Wenxi Li, Zhinan Wu, Jingxi Sun, Wenxin He
article en
5 citations

Abstract

The episymbiotic Candidatus Saccharibacteria is the most studied lineage of candidate phyla radiation. Living an epiparasitic lifestyle, Saccharibacteria might be associated with human mucosal diseases by modulating the structure of the oral microbiome through interactions with host bacteria. However, the knowledge of Saccharibacterial genomic diversity and the potential underlying their adaptation to a wide range of habitats remains limited. Here, we construct a high-quality genome collection of Saccharibacteria from multiple sources, providing 2041 high-quality genomes and previously unidentified taxa. The comparative genomic analysis shows the widespread metabolic defects of Saccharibacteria. Specific metabolic modules are commonly found in Saccharibacteria of different habitats, suggesting Saccharibacteria might have undergone habitat adaptation during the transition from different environments. We additionally show that Saccharibacteria account for ~1% of the Chinese oral microbiome. A preliminary analysis of rheumatoid arthritis individuals and healthy controls implies that Saccharibacteria might be associated with human systemic disease.

npj Biofilms and MicrobiomesVol. 10(1)
BGI Group (China) (CN), South China Agricultural University (CN), University of Copenhagen (DK), Zhengzhou University (CN), Bioscience (China) (CN), University of Chinese Academy of Sciences (CN), BGI Research (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Government of Jiangxi Province, Natural Science Foundation of Guangdong Province
Zero hunger
Openalex Percentile: Top 13%
Oral microbiology and periodontitis research
2.00
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.