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      Quantitative global studies reveal differential translational control by start codon context across the fungal kingdom

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          Abstract

          Eukaryotic protein synthesis generally initiates at a start codon defined by an AUG and its surrounding Kozak sequence context, but the quantitative importance of this context in different species is unclear. We tested this concept in two pathogenic Cryptococcus yeast species by genome-wide mapping of translation and of mRNA 5′ and 3′ ends. We observed thousands of AUG-initiated upstream open reading frames (uORFs) that are a major contributor to translation repression. uORF use depends on the Kozak sequence context of its start codon, and uORFs with strong contexts promote nonsense-mediated mRNA decay. Transcript leaders in Cryptococcus and other fungi are substantially longer and more AUG-dense than in Saccharomyces. Numerous Cryptococcus mRNAs encode predicted dual-localized proteins, including many aminoacyl-tRNA synthetases, in which a leaky AUG start codon is followed by a strong Kozak context in-frame AUG, separated by mitochondrial-targeting sequence. Analysis of other fungal species shows that such dual-localization is also predicted to be common in the ascomycete mould, Neurospora crassa. Kozak-controlled regulation is correlated with insertions in translational initiation factors in fidelity-determining regions that contact the initiator tRNA. Thus, start codon context is a signal that quantitatively programs both the expression and the structures of proteins in diverse fungi.

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          Most cited references79

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          Translational control by 5'-untranslated regions of eukaryotic mRNAs.

          The eukaryotic 5' untranslated region (UTR) is critical for ribosome recruitment to the messenger RNA (mRNA) and start codon choice and plays a major role in the control of translation efficiency and shaping the cellular proteome. The ribosomal initiation complex is assembled on the mRNA via a cap-dependent or cap-independent mechanism. We describe various mechanisms controlling ribosome scanning and initiation codon selection by 5' upstream open reading frames, translation initiation factors, and primary and secondary structures of the 5'UTR, including particular sequence motifs. We also discuss translational control via phosphorylation of eukaryotic initiation factor 2, which is implicated in learning and memory, neurodegenerative diseases, and cancer.
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            OrthoDB v10: sampling the diversity of animal, plant, fungal, protist, bacterial and viral genomes for evolutionary and functional annotations of orthologs

            Abstract OrthoDB (https://www.orthodb.org) provides evolutionary and functional annotations of orthologs. This update features a major scaling up of the resource coverage, sampling the genomic diversity of 1271 eukaryotes, 6013 prokaryotes and 6488 viruses. These include putative orthologs among 448 metazoan, 117 plant, 549 fungal, 148 protist, 5609 bacterial, and 404 archaeal genomes, picking up the best sequenced and annotated representatives for each species or operational taxonomic unit. OrthoDB relies on a concept of hierarchy of levels-of-orthology to enable more finely resolved gene orthologies for more closely related species. Since orthologs are the most likely candidates to retain functions of their ancestor gene, OrthoDB is aimed at narrowing down hypotheses about gene functions and enabling comparative evolutionary studies. Optional registered-user sessions allow on-line BUSCO assessments of gene set completeness and mapping of the uploaded data to OrthoDB to enable further interactive exploration of related annotations and generation of comparative charts. The accelerating expansion of genomics data continues to add valuable information, and OrthoDB strives to provide orthologs from the broadest coverage of species, as well as to extensively collate available functional annotations and to compute evolutionary annotations. The data can be browsed online, downloaded or assessed via REST API or SPARQL RDF compatible with both UniProt and Ensembl.
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              Upstream open reading frames cause widespread reduction of protein expression and are polymorphic among humans.

              Upstream ORFs (uORFs) are mRNA elements defined by a start codon in the 5' UTR that is out-of-frame with the main coding sequence. Although uORFs are present in approximately half of human and mouse transcripts, no study has investigated their global impact on protein expression. Here, we report that uORFs correlate with significantly reduced protein expression of the downstream ORF, based on analysis of 11,649 matched mRNA and protein measurements from 4 published mammalian studies. Using reporter constructs to test 25 selected uORFs, we estimate that uORFs typically reduce protein expression by 30-80%, with a modest impact on mRNA levels. We additionally identify polymorphisms that alter uORF presence in 509 human genes. Finally, we report that 5 uORF-altering mutations, detected within genes previously linked to human diseases, dramatically silence expression of the downstream protein. Together, our results suggest that uORFs influence the protein expression of thousands of mammalian genes and that variation in these elements can influence human phenotype and disease.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                18 March 2020
                05 February 2020
                05 February 2020
                : 48
                : 5
                : 2312-2331
                Affiliations
                [1 ] Institute for Cell Biology and SynthSys, School of Biological Sciences, University of Edinburgh , UK
                [2 ] Institut Pasteur, Unité Biologie des ARN des Pathogènes Fongiques, Département de Mycologie , F-75015 Paris, France
                [3 ] Institut Pasteur, HUB Bioinformatique et Biostatistique , C3BI, USR 3756 IP CNRS, F-75015 Paris, France
                [4 ] Department of Biochemistry and Biophysics, University of California at San Francisco , San Francisco, CA 94158, USA
                [5 ] Institut Pasteur, Unité Génétique des Interactions Macromoléculaire, Département Génome et Génétique , F-75015 Paris, France
                [6 ] Chan-Zuckerberg Biohub , San Francisco, CA 94158, USA
                Author notes
                To whom correspondence should be addressed. Tel: +44 131 6513348; Email: edward.wallace@ 123456ed.ac.uk
                Correspondence may also be addressed to Hiten D. Madhani. Email: hiten.madhani@ 123456ucsf.edu
                Correspondence may also be addressed to Guilhem Janbon. Email: guilhem.janbon@ 123456pasteur.fr

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Author information
                http://orcid.org/0000-0001-8025-6361
                http://orcid.org/0000-0002-8718-0432
                http://orcid.org/0000-0002-0300-5232
                http://orcid.org/0000-0002-8631-5120
                http://orcid.org/0000-0001-7400-6657
                http://orcid.org/0000-0002-4788-1154
                Article
                gkaa060
                10.1093/nar/gkaa060
                7049704
                32020195
                f2390515-862b-485c-874b-6225ac00ef80
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 January 2020
                : 13 January 2020
                : 12 July 2019
                Page count
                Pages: 20
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: R01AI120464
                Award ID: R01GM71801
                Funded by: Wellcome Trust 10.13039/100010269
                Award ID: 208779/Z/17/Z
                Funded by: University of Edinburgh 10.13039/501100000848
                Funded by: Infect-ERA
                Categories
                Data Resources and Analyses

                Genetics
                Genetics

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