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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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              A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.

              We describe a new computer program, SnpEff, for rapidly categorizing the effects of variants in genome sequences. Once a genome is sequenced, SnpEff annotates variants based on their genomic locations and predicts coding effects. Annotated genomic locations include intronic, untranslated region, upstream, downstream, splice site, or intergenic regions. Coding effects such as synonymous or non-synonymous amino acid replacement, start codon gains or losses, stop codon gains or losses, or frame shifts can be predicted. Here the use of SnpEff is illustrated by annotating ~356,660 candidate SNPs in ~117 Mb unique sequences, representing a substitution rate of ~1/305 nucleotides, between the Drosophila melanogaster w(1118); iso-2; iso-3 strain and the reference y(1); cn(1) bw(1) sp(1) strain. We show that ~15,842 SNPs are synonymous and ~4,467 SNPs are non-synonymous (N/S ~0.28). The remaining SNPs are in other categories, such as stop codon gains (38 SNPs), stop codon losses (8 SNPs), and start codon gains (297 SNPs) in the 5'UTR. We found, as expected, that the SNP frequency is proportional to the recombination frequency (i.e., highest in the middle of chromosome arms). We also found that start-gain or stop-lost SNPs in Drosophila melanogaster often result in additions of N-terminal or C-terminal amino acids that are conserved in other Drosophila species. It appears that the 5' and 3' UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus. As genome sequencing is becoming inexpensive and routine, SnpEff enables rapid analyses of whole-genome sequencing data to be performed by an individual laboratory.
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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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