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Genomic inference of the metabolism and evolution of the archaeal phylum Aigarchaeota

Authors :
Zheng-Shuang Hua
Yan-Ni Qu
Qiyun Zhu
En-Min Zhou
Yan-Ling Qi
Yi-Rui Yin
Yang-Zhi Rao
Ye Tian
Yu-Xian Li
Lan Liu
Cindy J. Castelle
Brian P. Hedlund
Wen-Sheng Shu
Rob Knight
Wen-Jun Li
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

The phylum of archaea Aigarchaeota is poorly characterized due to limited genomic sampling. Here, Hua and colleagues use genome-resolved metagenome sequencing to reconstruct six hot spring strains of Aigarchaeota and then infer their metabolism and evolutionary history.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.0ae3a0c02a264a15b8733a21f244952d
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-018-05284-4