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      Identifying the ligated amino acid of archaeal tRNAs based on positions outside the anticodon

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          Abstract

          Proper recognition of tRNAs by their aminoacyl-tRNA synthetase is essential for translation accuracy. Following evidence that the enzymes can recognize the correct tRNA even when anticodon information is masked, we search for additional nucleotide positions within the tRNA molecule that potentially contain information for amino acid identification. Analyzing 3936 sequences of tRNA genes from 86 archaeal species, we show that the tRNAs’ cognate amino acids can be identified by the information embedded in the tRNAs’ nucleotide positions without relying on the anticodon information. We present a small set of six to 10 informative positions along the tRNA, which allow for amino acid identification accuracy of 90.6% to 97.4%, respectively. We inspected tRNAs for each of the 20 amino acid types for such informative positions and found that tRNA genes for some amino acids are distinguishable from others by as few as one or two positions. The informative nucleotide positions are in agreement with nucleotide positions that were experimentally shown to affect the loaded amino acid identity. Interestingly, the knowledge gained from the tRNA genes of one archaeal phylum does not extrapolate well to another phylum. Furthermore, each species has a unique ensemble of nucleotides in the informative tRNA positions, and the similarity between the sets of positions of two distinct species reflects their evolutionary distance. Hence, we term this set of informative positions a “tRNA cipher.” It is tempting to suggest that the diverging code identified here might also serve the aminoacyl tRNA synthetase in the task of tRNA recognition.

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          dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering

          Tal Galili (2015)
          Summary: dendextend is an R package for creating and comparing visually appealing tree diagrams. dendextend provides utility functions for manipulating dendrogram objects (their color, shape and content) as well as several advanced methods for comparing trees to one another (both statistically and visually). As such, dendextend offers a flexible framework for enhancing R's rich ecosystem of packages for performing hierarchical clustering of items. Availability and implementation: The dendextend R package (including detailed introductory vignettes) is available under the GPL-2 Open Source license and is freely available to download from CRAN at: (http://cran.r-project.org/package=dendextend) Contact: Tal.Galili@math.tau.ac.il
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            The Split-Apply-Combine Strategy for Data Analysis

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              GtRNAdb: a database of transfer RNA genes detected in genomic sequence

              Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb), currently including over 74 000 tRNA genes predicted from 740 species. The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. The database is publicly available at http://gtrnadb.ucsc.edu.
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                Author and article information

                Journal
                RNA
                RNA
                RNA
                RNA
                Cold Spring Harbor Laboratory Press
                1355-8382
                1469-9001
                October 2016
                October 2016
                : 22
                : 10
                : 1477-1491
                Affiliations
                [1 ]Department of Statistics and Operations Research, The Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Ramat-Aviv 69978, Israel
                [2 ]Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
                [3 ]The Edmond J. Safra Center for Bioinformatics and The Sagol School for Neuroscience, Tel Aviv University, Ramat-Aviv 69978, Israel
                Author notes
                Corresponding author: ybenja@ 123456tau.ac.il
                Article
                9509184 RA
                10.1261/rna.053777.115
                5029447
                27516383
                385c06ce-4c61-4d14-a33e-a332c6ce529c
                © 2016 Galili et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society

                This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 August 2015
                : 23 June 2016
                Funding
                Funded by: European Research Council http://dx.doi.org/10.13039/501100000781
                Award ID: PSARPS-297519
                Categories
                Bioinformatics

                rna code,second genetic code,evolution,discriminate positions

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