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      Blastocrithidia nonstop mitochondrial genome and its expression are remarkably insulated from nuclear codon reassignment

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          Abstract

          The canonical stop codons of the nuclear genome of the trypanosomatid Blastocrithidia nonstop are recoded. Here, we investigated the effect of this recoding on the mitochondrial genome and gene expression. Trypanosomatids possess a single mitochondrion and protein-coding transcripts of this genome require RNA editing in order to generate open reading frames of many transcripts encoded as ‘cryptogenes’. Small RNAs that can number in the hundreds direct editing and produce a mitochondrial transcriptome of unusual complexity. We find B. nonstop to have a typical trypanosomatid mitochondrial genetic code, which presumably requires the mitochondrion to disable utilization of the two nucleus-encoded suppressor tRNAs, which appear to be imported into the organelle. Alterations of the protein factors responsible for mRNA editing were also documented, but they have likely originated from sources other than B. nonstop nuclear genome recoding. The population of guide RNAs directing editing is minimal, yet virtually all genes for the plethora of known editing factors are still present. Most intriguingly, despite lacking complex I cryptogene guide RNAs, these cryptogene transcripts are stochastically edited to high levels.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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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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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                24 April 2024
                07 March 2024
                07 March 2024
                : 52
                : 7
                : 3870-3885
                Affiliations
                Faculty of Biology, Lomonosov Moscow State University , Moscow 119991, Russia
                Faculty of Biology, Lomonosov Moscow State University , Moscow 119991, Russia
                Institute for Information Transmission Problems, Russian Academy of Sciences , Moscow 127051, Russia
                Life Science Research Centre, Faculty of Science, University of Ostrava , 710 00 Ostrava, Czechia
                Department of Biochemistry, Faculty of Natural Sciences, Comenius University , 842 15 Bratislava, Slovakia
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Life Science Research Centre, Faculty of Science, University of Ostrava , 710 00 Ostrava, Czechia
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Department of Parasitology, Faculty of Science, Charles University , BIOCEV 252 50 Vestec, Czechia
                Division of Infectious Diseases, Department of Medicine, University of Alberta , T6G 2R3 Edmonton, Alberta, Canada
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Life Science Research Centre, Faculty of Science, University of Ostrava , 710 00 Ostrava, Czechia
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Life Science Research Centre, Faculty of Science, University of Ostrava , 710 00 Ostrava, Czechia
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Faculty of Science, University of South Bohemia , 370 05 České Budějovice, Czechia
                Institute of Parasitology, Biology Centre, Czech Academy of Sciences , 370 05 České Budějovice, Czechia
                Faculty of Science, University of South Bohemia , 370 05 České Budějovice, Czechia
                De Duve Institute, Université Catholique de Louvain , 1200 Brussels, Belgium
                Department of Biochemistry, Faculty of Natural Sciences, Comenius University , 842 15 Bratislava, Slovakia
                University of Minnesota Medical School, Duluth Campus , Duluth, MN 55812, USA
                Life Science Research Centre, Faculty of Science, University of Ostrava , 710 00 Ostrava, Czechia
                Author notes
                To whom correspondence should be addressed. Tel: +420 597092326; Email: vyacheslav.yurchenko@ 123456osu.cz
                Correspondence may also be addressed to Sara L. Zimmer. Tel: +1 218 7268551; Email: szimmer3@ 123456d.umn.edu

                The first two authors should be regarded as Joint First Authors.

                Author information
                https://orcid.org/0000-0002-0376-5653
                https://orcid.org/0000-0002-0497-1221
                https://orcid.org/0000-0002-4004-3377
                https://orcid.org/0000-0002-5766-0267
                https://orcid.org/0000-0002-2925-4763
                https://orcid.org/0009-0005-6348-2179
                https://orcid.org/0000-0003-1019-7719
                https://orcid.org/0000-0002-0578-6618
                https://orcid.org/0000-0003-1984-3764
                https://orcid.org/0000-0003-0785-4204
                https://orcid.org/0000-0002-1707-1839
                https://orcid.org/0000-0003-4765-3263
                Article
                gkae168
                10.1093/nar/gkae168
                11040004
                38452217
                eda535e4-b8bc-45f0-b3bf-e348a48f62cd
                © The Author(s) 2024. 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 ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 February 2024
                : 20 February 2024
                : 20 June 2023
                Page count
                Pages: 16
                Funding
                Funded by: Czech Republic;
                Award ID: 22-01026S
                Award ID: 23-08669L
                Funded by: Russian Science Foundation, DOI 10.13039/501100006769;
                Award ID: 19-74-10008
                Funded by: University of Ostrava, DOI 10.13039/501100006704;
                Funded by: Ministry of Education, DOI 10.13039/100009122;
                Award ID: INTER-EXCELLENCE-LUASK22033
                Award ID: CZ.02.01.01/00/22_008/0004575
                Funded by: ERDF, DOI 10.13039/501100008530;
                Award ID: 313021X329
                Funded by: Slovak Ministry of Education;
                Funded by: Academy of Sciences;
                Award ID: VEGA 1/0553/21
                Funded by: Slovak Research and Development Agency, DOI 10.13039/501100005357;
                Award ID: SK-CZ-RD-21-0038
                Funded by: Ministry of Education, Youth and Sports of the Czech Republic;
                Award ID: 90254
                Funded by: Just Transition;
                Award ID: CZ.10 .03.01/00/22_003/0000003
                Categories
                AcademicSubjects/SCI00010
                Molecular Biology

                Genetics
                Genetics

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