ArticleNature communications2022
Proteome-wide 3D structure prediction provides insights into the ancestral metabolism of ancient archaea and bacteria.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- The Impacts of Farming Activities on the Coevolutionary Structure of Plant Rhizosphere Soil Microbial Communities.Microorganisms · 2025Article
- Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability.eLife · 2025Article
- Accessing self-diffusion on nanosecond time and nanometre length scales with minute kinetic resolution.Journal of applied crystallography · 2024Article
- The metabolic control of DNA replication: mechanism and function.Open biology · 2023Review
- Identification of a deep-branching thermophilic clade sheds light on early bacterial evolution.Nature communications · 2023Article
- RCSB Protein Data Bank: visualizing groups of experimentally determined PDB structures alongside computed structure models of proteins.Frontiers in bioinformatics · 2023Article
- Proteome-wide 3D structure prediction provides insights into the ancestral metabolism of ancient archaea and bacteria.Nature communications · 2022Article
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Authors and funding
10 authors at 2 institutions in 3 countries.
Funding
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Abstract
Ancestral metabolism has remained controversial due to a lack of evidence beyond sequence-based reconstructions. Although prebiotic chemists have provided hints that metabolism might originate from non-enzymatic protometabolic pathways, gaps between ancestral reconstruction and prebiotic processes mean there is much that is still unknown. Here, we apply proteome-wide 3D structure predictions and comparisons to investigate ancestorial metabolism of ancient bacteria and archaea, to provide information beyond sequence as a bridge to the prebiotic processes. We compare representative bacterial and archaeal strains, which reveal surprisingly similar physiological and metabolic characteristics via microbiological and biophysical experiments. Pairwise comparison of protein structures identify the conserved metabolic modules in bacteria and archaea, despite interference from overly variable sequences. The conserved modules (for example, middle of glycolysis, partial TCA, proton/sulfur respiration, building block biosynthesis) constitute the basic functions that possibly existed in the archaeal-bacterial common ancestor, which are remarkably consistent with the experimentally confirmed protometabolic pathways. These structure-based findings provide a new perspective to reconstructing the ancestral metabolism and understanding its origin, which suggests high-throughput protein 3D structure prediction is a promising approach, deserving broader application in future ancestral exploration.
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