Proteome-wide 3D structure prediction provides insights into the ancestral metabolism of ancient archaea and bacteria

Weishu Zhao; Bozitao Zhong; Lirong Zheng; Pan Tan; Yinzhao Wang; Hao Leng; Nicolas de Souza; Zhuo Liu; Liang Hong; Xiang Xiao

doi:10.1038/s41467-022-35523-8

Nature Communications (Dec 2022)

Proteome-wide 3D structure prediction provides insights into the ancestral metabolism of ancient archaea and bacteria

Weishu Zhao,
Bozitao Zhong,
Lirong Zheng,
Pan Tan,
Yinzhao Wang,
Hao Leng,
Nicolas de Souza,
Zhuo Liu,
Liang Hong,
Xiang Xiao

Affiliations

Weishu Zhao: State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University
Bozitao Zhong: State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University
Lirong Zheng: Institute of Natural Sciences, Shanghai National Center for Applied Mathematics (SJTU Center) and MOE-LSC, Shanghai Jiao Tong University
Pan Tan: Institute of Natural Sciences, Shanghai National Center for Applied Mathematics (SJTU Center) and MOE-LSC, Shanghai Jiao Tong University
Yinzhao Wang: State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University
Hao Leng: State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University
Nicolas de Souza: Australian Nuclear Science and Technology (ANSTO)
Zhuo Liu: Institute of Natural Sciences, Shanghai National Center for Applied Mathematics (SJTU Center) and MOE-LSC, Shanghai Jiao Tong University
Liang Hong: Institute of Natural Sciences, Shanghai National Center for Applied Mathematics (SJTU Center) and MOE-LSC, Shanghai Jiao Tong University
Xiang Xiao: State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University

DOI: https://doi.org/10.1038/s41467-022-35523-8
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 14

Abstract

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Previous studies have reconstructed ancestral metabolism using sequence-based approaches. This study uses a high-throughput version of AlphaFold2 to compare proteome-wide 3D structure predictions of two representative strains of ancient archaea and bacteria.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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