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      A Comparative Genomic Analysis of the Barley Pathogen Pyrenophora teres f. teres Identifies Subtelomeric Regions as Drivers of Virulence

      1 , 2 , 3 , 1 , 2 , 1 , 2 , 4
      Molecular Plant-Microbe Interactions®
      Scientific Societies

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          Abstract

          Pyrenophora teres f. teres causes net form net blotch of barley and is an economically important pathogen throughout the world. However, P. teres f. teres is lacking in the genomic resources necessary to characterize the mechanisms of virulence. Recently a high-quality reference genome was generated for P. teres f. teres isolate 0-1. Here, we present the reference quality sequence and annotation of four new isolates and we use the five available P. teres f. teres genomes for an in-depth comparison, resulting in the generation of hypotheses pertaining to the potential mechanisms and evolution of virulence. Comparative analyses were performed between all five P. teres f. teres genomes, examining genomic organization, structural variations, and core and accessory genomic content, specifically focusing on the genomic characterization of known virulence loci and the localization of genes predicted to encode secreted and effector proteins. We showed that 14 of 15 currently published virulence quantitative trait loci (QTL) span accessory genomic regions, consistent with these accessory regions being important drivers of host adaptation. Additionally, these accessory genomic regions were frequently found in subtelomeric regions of chromosomes, with 10 of the 14 accessory region QTL localizing to subtelomeric regions. Comparative analysis of the subtelomeric regions of P. teres f. teres chromosomes revealed translocation events in which homology was detected between nonhomologous chromosomes at a significantly higher rate than the rest of the genome. These results indicate that the subtelomeric accessory genomic compartments not only harbor most of the known virulence loci but, also, that these regions have the capacity to rapidly evolve.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

            Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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              Is Open Access

              Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement

              Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant calls. We introduce Pilon, a fully automated, all-in-one tool for correcting draft assemblies and calling sequence variants of multiple sizes, including very large insertions and deletions. Pilon works with many types of sequence data, but is particularly strong when supplied with paired end data from two Illumina libraries with small e.g., 180 bp and large e.g., 3–5 Kb inserts. Pilon significantly improves draft genome assemblies by correcting bases, fixing mis-assemblies and filling gaps. For both haploid and diploid genomes, Pilon produces more contiguous genomes with fewer errors, enabling identification of more biologically relevant genes. Furthermore, Pilon identifies small variants with high accuracy as compared to state-of-the-art tools and is unique in its ability to accurately identify large sequence variants including duplications and resolve large insertions. Pilon is being used to improve the assemblies of thousands of new genomes and to identify variants from thousands of clinically relevant bacterial strains. Pilon is freely available as open source software.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Molecular Plant-Microbe Interactions®
                MPMI
                Scientific Societies
                0894-0282
                1943-7706
                February 2020
                February 2020
                : 33
                : 2
                : 173-188
                Affiliations
                [1 ]Genomics and Bioinformatics Program, North Dakota State University, Fargo, ND, U.S.A.
                [2 ]Department of Plant Pathology, North Dakota State University
                [3 ]Department of Plant Pathology and Crop Physiology, Louisiana State University Agricultural Center, Baton Rouge, LA, U.S.A.
                [4 ]Cereal Crops Research Unit, Red River Valley Agricultural Research Center, USDA-ARS, Fargo, ND, U.S.A.
                Article
                10.1094/MPMI-05-19-0128-R
                31502507
                dd4beb04-0401-4c52-8d30-8f8a14d7070a
                © 2020
                History

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