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      Phylogenomics of Xanthomonas field strains infecting pepper and tomato reveals diversity in effector repertoires and identifies determinants of host specificity

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          Abstract

          Bacterial spot disease of pepper and tomato is caused by four distinct Xanthomonas species and is a severely limiting factor on fruit yield in these crops. The genetic diversity and the type III effector repertoires of a large sampling of field strains for this disease have yet to be explored on a genomic scale, limiting our understanding of pathogen evolution in an agricultural setting. Genomes of 67 Xanthomonas euvesicatoria ( Xe), Xanthomonas perforans ( Xp), and Xanthomonas gardneri ( Xg) strains isolated from diseased pepper and tomato fields in the southeastern and midwestern United States were sequenced in order to determine the genetic diversity in field strains. Type III effector repertoires were computationally predicted for each strain, and multiple methods of constructing phylogenies were employed to understand better the genetic relationship of strains in the collection. A division in the Xp population was detected based on core genome phylogeny, supporting a model whereby the host-range expansion of Xp field strains on pepper is due, in part, to a loss of the effector AvrBsT. Xp-host compatibility was further studied with the observation that a double deletion of AvrBsT and XopQ allows a host range expansion for Nicotiana benthamiana. Extensive sampling of field strains and an improved understanding of effector content will aid in efforts to design disease resistance strategies targeted against highly conserved core effectors.

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          Most cited references40

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          Selecting optimal partitioning schemes for phylogenomic datasets

          Background Partitioning involves estimating independent models of molecular evolution for different subsets of sites in a sequence alignment, and has been shown to improve phylogenetic inference. Current methods for estimating best-fit partitioning schemes, however, are only computationally feasible with datasets of fewer than 100 loci. This is a problem because datasets with thousands of loci are increasingly common in phylogenetics. Methods We develop two novel methods for estimating best-fit partitioning schemes on large phylogenomic datasets: strict and relaxed hierarchical clustering. These methods use information from the underlying data to cluster together similar subsets of sites in an alignment, and build on clustering approaches that have been proposed elsewhere. Results We compare the performance of our methods to each other, and to existing methods for selecting partitioning schemes. We demonstrate that while strict hierarchical clustering has the best computational efficiency on very large datasets, relaxed hierarchical clustering provides scalable efficiency and returns dramatically better partitioning schemes as assessed by common criteria such as AICc and BIC scores. Conclusions These two methods provide the best current approaches to inferring partitioning schemes for very large datasets. We provide free open-source implementations of the methods in the PartitionFinder software. We hope that the use of these methods will help to improve the inferences made from large phylogenomic datasets.
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            GUIDANCE: a web server for assessing alignment confidence scores

            Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE web-server, a user-friendly, open access tool for the identification of unreliable alignment regions. The web-server accepts as input a set of unaligned sequences. The server aligns the sequences and provides a simple graphic visualization of the confidence score of each column, residue and sequence of an alignment, using a color-coding scheme. The method is generic and the user is allowed to choose the alignment algorithm (ClustalW, MAFFT and PRANK are supported) as well as any type of molecular sequences (nucleotide, protein or codon sequences). The server implements two different algorithms for evaluating confidence scores: (i) the heads-or-tails (HoT) method, which measures alignment uncertainty due to co-optimal solutions; (ii) the GUIDANCE method, which measures the robustness of the alignment to guide-tree uncertainty. The server projects the confidence scores onto the MSA and points to columns and sequences that are unreliably aligned. These can be automatically removed in preparation for downstream analyses. GUIDANCE is freely available for use at http://guidance.tau.ac.il.
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              Reclassification of Xanthomonas

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                03 June 2015
                2015
                : 6
                : 535
                Affiliations
                [1] 1Department of Plant and Microbial Biology, University of California, Berkeley Berkeley, CA, USA
                [2] 2Department of Plant Pathology, University of Florida Gainesville, FL, USA
                [3] 3Donald Danforth Plant Science Center St. Louis, MO, USA
                [4] 4Department of Biochemistry, Institute of Chemistry, University of São Paulo São Paulo, Brazil
                [5] 5Department of Plant Pathology, Kansas State University Manhattan, KS, USA
                [6] 6School of Computing, Federal University of Mato Grosso do Sul Campo Grande, Brazil
                [7] 7Gulf Coast Research and Education Center, University of Florida Wimauma, FL, USA
                [8] 8Department of Plant Pathology, University of Wisconsin, Madison Madison, WI, USA
                [9] 9Department of Plant Pathology, Ohio Agricultural Research and Development Center Wooster, MA, USA
                [10] 10Department of Plant Pathology, NC State University Raleigh, NC, USA
                [11] 11Virginia Bioinformatics Institute, Virginia Tech Blacksburg, VA, USA
                Author notes

                Edited by: Laurent D. Noël, Centre National de la Recherche Scientifique, France

                Reviewed by: Peter Dodds, Commonwealth Scientific and Industrial Research Organisation, Australia; David John Studholme, University of Exeter, UK

                *Correspondence: Brian J. Staskawicz, Department of Plant and Microbial Biology, University of California, Berkeley, 241 Koshland Hall, Berkeley, CA 94705, USA stask@ 123456berkeley.edu

                This article was submitted to Plant-Microbe Interaction, a section of the journal Frontiers in Microbiology

                †These authors have contributed equally to this work.

                Article
                10.3389/fmicb.2015.00535
                4452888
                26089818
                98e99fb2-42b1-442a-9d6b-72d088e39ca9
                Copyright © 2015 Schwartz, Potnis, Timilsina, Wilson, Patané, Martins, Minsavage, Dahlbeck, Akhunova, Almeida, Vallad, Barak, White, Miller, Ritchie, Goss, Bart, Setubal, Jones and Staskawicz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 April 2015
                : 15 May 2015
                Page count
                Figures: 5, Tables: 4, Equations: 0, References: 60, Pages: 17, Words: 12460
                Categories
                Plant Science
                Original Research

                Microbiology & Virology
                xanthomonas,type iii effector repertoire,phylogenomics,host specificity,bacterial spot disease,avrbst,xopq

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