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      Saccharibacteria harness light energy using type-1 rhodopsins that may rely on retinal sourced from microbial hosts

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          Abstract

          Microbial rhodopsins are a family of photoreceptive membrane proteins with a wide distribution across the Tree of Life. Within the candidate phyla radiation (CPR), a diverse group of putatively episymbiotic bacteria, the genetic potential to produce rhodopsins appears to be confined to a small clade of organisms from sunlit environments. Here, we characterize the metabolic context and biophysical features of Saccharibacteria Type-1 rhodopsin sequences derived from metagenomic surveys and show that these proteins function as outward proton pumps. This provides one of the only known mechanisms by which CPR can generate a proton gradient for ATP synthesis. These Saccharibacteria do not encode the genetic machinery to produce all- trans-retinal, the chromophore essential for rhodopsin function, but their rhodopsins are able to rapidly uptake this cofactor when provided in experimental assays. We found consistent evidence for the capacity to produce retinal from β-carotene in microorganisms co-occurring with Saccharibacteria, and this genetic potential was dominated by members of the Actinobacteria, which are known hosts of Saccharibacteria in other habitats. If Actinobacteria serve as hosts for Saccharibacteria in freshwater environments, exchange of retinal for use by rhodopsin may be a feature of their associations.

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          Highly accurate protein structure prediction with AlphaFold

          Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1 – 4 , the structures of around 100,000 unique proteins have been determined 5 , but this represents a small fraction of the billions of known protein sequences 6 , 7 . Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics. Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence—the structure prediction component of the ‘protein folding problem’ 8 —has been an important open research problem for more than 50 years 9 . Despite recent progress 10 – 14 , existing methods fall far short of atomic accuracy, especially when no homologous structure is available. Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. We validated an entirely redesigned version of our neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14) 15 , demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods. Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm. AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
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            Fermentation, hydrogen, and sulfur metabolism in multiple uncultivated bacterial phyla.

            BD1-5, OP11, and OD1 bacteria have been widely detected in anaerobic environments, but their metabolisms remain unclear owing to lack of cultivated representatives and minimal genomic sampling. We uncovered metabolic characteristics for members of these phyla, and a new lineage, PER, via cultivation-independent recovery of 49 partial to near-complete genomes from an acetate-amended aquifer. All organisms were nonrespiring anaerobes predicted to ferment. Three augment fermentation with archaeal-like hybrid type II/III ribulose-1,5-bisphosphate carboxylase-oxygenase (RuBisCO) that couples adenosine monophosphate salvage with CO(2) fixation, a pathway not previously described in Bacteria. Members of OD1 reduce sulfur and may pump protons using archaeal-type hydrogenases. For six organisms, the UGA stop codon is translated as tryptophan. All bacteria studied here may play previously unrecognized roles in hydrogen production, sulfur cycling, and fermentation of refractory sedimentary carbon.
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              Unusual biology across a group comprising more than 15% of domain Bacteria.

              A prominent feature of the bacterial domain is a radiation of major lineages that are defined as candidate phyla because they lack isolated representatives. Bacteria from these phyla occur in diverse environments and are thought to mediate carbon and hydrogen cycles. Genomic analyses of a few representatives suggested that metabolic limitations have prevented their cultivation. Here we reconstructed 8 complete and 789 draft genomes from bacteria representing >35 phyla and documented features that consistently distinguish these organisms from other bacteria. We infer that this group, which may comprise >15% of the bacterial domain, has shared evolutionary history, and describe it as the candidate phyla radiation (CPR). All CPR genomes are small and most lack numerous biosynthetic pathways. Owing to divergent 16S ribosomal RNA (rRNA) gene sequences, 50-100% of organisms sampled from specific phyla would evade detection in typical cultivation-independent surveys. CPR organisms often have self-splicing introns and proteins encoded within their rRNA genes, a feature rarely reported in bacteria. Furthermore, they have unusual ribosome compositions. All are missing a ribosomal protein often absent in symbionts, and specific lineages are missing ribosomal proteins and biogenesis factors considered universal in bacteria. This implies different ribosome structures and biogenesis mechanisms, and underlines unusual biology across a large part of the bacterial domain.
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                Author and article information

                Contributors
                inoue@issp.u-tokyo.ac.jp
                jbanfield@berkeley.edu
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                19 April 2022
                19 April 2022
                August 2022
                : 16
                : 8
                : 2056-2059
                Affiliations
                [1 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Plant and Microbial Biology, , University of California, ; Berkeley, CA USA
                [2 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, The Institute for Solid State Physics, , The University of Tokyo, Kashiwa, ; Chiba, Japan
                [3 ]GRID grid.419082.6, ISNI 0000 0004 1754 9200, PRESTO, Japan Science and Technology Agency, Kawaguchi, ; Saitama, Japan
                [4 ]GRID grid.47716.33, ISNI 0000 0001 0656 7591, Department of Life Science and Applied Chemistry, , Nagoya Institute of Technology, Showa-ku, ; Nagoya, Japan
                [5 ]GRID grid.6451.6, ISNI 0000000121102151, Faculty of Biology, Technion - Israel Institute of Technology, ; Haifa, Israel
                [6 ]GRID grid.47716.33, ISNI 0000 0001 0656 7591, OptoBioTechnology Research Center, Nagoya Institute of Technology, Showa-ku, ; Nagoya, Japan
                [7 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Innovative Genomics Institute, , University of California, ; Berkeley, CA USA
                [8 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Earth and Planetary Science, , University of California, ; Berkeley, CA USA
                [9 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Environmental Science, Policy, and Management, , University of California, ; Berkeley, CA USA
                Author information
                http://orcid.org/0000-0002-6903-1687
                http://orcid.org/0000-0002-0605-1816
                http://orcid.org/0000-0001-6629-0192
                http://orcid.org/0000-0002-6898-4347
                http://orcid.org/0000-0001-8203-8771
                Article
                1231
                10.1038/s41396-022-01231-w
                9296517
                35440729
                eed0e423-ff9b-4a73-bf01-3626af6e99ef
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 February 2022
                : 22 March 2022
                : 28 March 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000936, Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation);
                Award ID: 71785
                Award ID: 71785
                Award Recipient :
                Funded by: MEXT KAKENHI, Grant-in-Aid for Transformative Research Areas (B) "Low-energy manipulation" (Grant Number: JP20H05758) JSPS KAKENHI, Grants-in-Aid (Grant Numbers: JP21H01875, JP20K21383)
                Categories
                Brief Communication
                Custom metadata
                © International Society for Microbial Ecology 2022

                Microbiology & Virology
                water microbiology,microbial ecology
                Microbiology & Virology
                water microbiology, microbial ecology

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