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      The CERV protein of Cer1, a C. elegans LTR retrotransposon, is required for nuclear export of viral genomic RNA and can form giant nuclear rods

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          Abstract

          Retroviruses and closely related LTR retrotransposons export full-length, unspliced genomic RNA (gRNA) for packaging into virions and to serve as the mRNA encoding GAG and POL polyproteins. Because gRNA often includes splice acceptor and donor sequences used to splice viral mRNAs, retroelements must overcome host mechanisms that retain intron-containing RNAs in the nucleus. Here we examine gRNA expression in Cer1, an LTR retrotransposon in C. elegans which somehow avoids silencing and is highly expressed in germ cells. Newly exported Cer1 gRNA associates rapidly with the Cer1 GAG protein, which has structural similarity with retroviral GAG proteins. gRNA export requires CERV ( C . e legans regulator of viral expression), a novel protein encoded by a spliced Cer1 mRNA. CERV phosphorylation at S214 is essential for gRNA export, and phosphorylated CERV colocalizes with nuclear gRNA at presumptive sites of transcription. By electron microscopy, tagged CERV proteins surround clusters of distinct, linear fibrils that likely represent gRNA molecules. Single fibrils, or groups of aligned fibrils, also localize near nuclear pores. During the C. elegans self-fertile period, when hermaphrodites fertilize oocytes with their own sperm, CERV concentrates in two nuclear foci that are coincident with gRNA. However, as hermaphrodites cease self-fertilization, and can only produce cross-progeny, CERV undergoes a remarkable transition to form giant nuclear rods or cylinders that can be up to 5 microns in length. We propose a novel mechanism of rod formation, in which stage-specific changes in the nucleolus induce CERV to localize to the nucleolar periphery in flattened streaks of protein and gRNA; these streaks then roll up into cylinders. The rods are a widespread feature of Cer1 in wild strains of C. elegans, but their function is not known and might be limited to cross-progeny. We speculate that the adaptive strategy Cer1 uses for the identical self-progeny of a host hermaphrodite might differ for heterozygous cross-progeny sired by males. For example, mating introduces male chromosomes which can have different, or no, Cer1 elements.

          Author summary

          LTR retrotransposons are closely related to retroviruses and are enormously abundant in animals and plants. Cer1 is the most prevalent LTR retrotransposon in the nematode C. elegans, where it is expressed at high levels in adult germ cells. Cer1 produces typical retroviral proteins except for a novel protein called CERV. CERV appears to allow unspliced Cer1 genomic RNA to be exported from the nucleus, escaping host mechanisms that normally retain unspliced RNA. The nuclear export of gRNA is regulated by multiple ON/OFF switches controlled by sex, developmental stage, and environment. CERV is a diffuse nucleoplasmic protein in the OFF states, but in the ON states CERV colocalizes with nuclear gRNA. By transmission electron microscopy, CERV is associated with unusual and distinct linear fibrils that appear to represent gRNA molecules. In older germ cells, CERV undergoes a remarkable transition to form giant cylindrical rods of unknown function that can equal the nuclear diameter in length. Rod formation occurs when C. elegans hermaphrodites can no longer fertilize their own oocytes, and instead require mating with males. Thus, the rods might be part of adaptive strategies Cer1 uses to distinguish potentially heterozygous cross-progeny from homozygous self-progeny.

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          Most cited references153

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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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            UCSF ChimeraX : Structure visualization for researchers, educators, and developers

            UCSF ChimeraX is the next-generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light-sheet microscopy, and medical imaging data; (e) major ease-of-use advances, including toolbars with icons to perform actions with a single click, basic "undo" capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.
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              ColabFold: making protein folding accessible to all

              ColabFold offers accelerated prediction of protein structures and complexes by combining the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold’s 40−60-fold faster search and optimized model utilization enables prediction of close to 1,000 structures per day on a server with one graphics processing unit. Coupled with Google Colaboratory, ColabFold becomes a free and accessible platform for protein folding. ColabFold is open-source software available at https://github.com/sokrypton/ColabFold and its novel environmental databases are available at https://colabfold.mmseqs.com . ColabFold is a free and accessible platform for protein folding that provides accelerated prediction of protein structures and complexes using AlphaFold2 or RoseTTAFold.
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                Author and article information

                Contributors
                Role: InvestigationRole: MethodologyRole: Writing – original draft
                Role: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                PLOS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                29 June 2023
                June 2023
                : 19
                : 6
                : e1010804
                Affiliations
                [1 ] RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester,United States of America
                [2 ] Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States of America
                [3 ] Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
                [4 ] Fred Hutchinson Cancer Center, Seattle, Washington, United States of America
                University of California San Diego, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0003-0084-9768
                https://orcid.org/0000-0002-4087-7419
                Article
                PGENETICS-D-23-00416
                10.1371/journal.pgen.1010804
                10309623
                c1583d41-180f-4f72-b0dd-52c6e402a780
                © 2023 Sun et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 April 2023
                : 31 May 2023
                Page count
                Figures: 8, Tables: 0, Pages: 44
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: RO1GM098583
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: RO1GM58800
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000011, Howard Hughes Medical Institute;
                Award Recipient :
                This work was supported by NIH RO1GM098583 grant to J.R.P with salary support for HK and J.R.P; NIH RO1GM58800 and a Howard Hughes Medical Institute award to C.C.M with salary support for B.S. and C.C.M. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Guide RNA
                Biology and Life Sciences
                Anatomy
                Reproductive System
                Genital Anatomy
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                Medicine and Health Sciences
                Anatomy
                Reproductive System
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                Research and Analysis Methods
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                Animal Studies
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                Genetics
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