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      Distinct domains of the AVRPM3 A2/F2 avirulence protein from wheat powdery mildew are involved in immune receptor recognition and putative effector function

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          Summary

          • Recognition of the AVRPM3 A2/F2 avirulence protein from powdery mildew by the wheat PM3A/F immune receptor induces a hypersensitive response after co‐expression in Nicotiana benthamiana. The molecular determinants of this interaction and how they shape natural AvrPm3 a2/f2 allelic diversity are unknown.

          • We sequenced the AvrPm3 a2/f2 gene in a worldwide collection of 272 mildew isolates. Using the natural polymorphisms of AvrPm3 a2/f2 as well as sequence information from related gene family members, we tested 85 single‐residue‐altered AVRPM3 A2/F2 variants with PM3A, PM3F and PM3 F L 456P/Y458H (modified for improved signaling) in Nicotiana benthamiana for effects on recognition.

          • An intact AvrPm3 a2/f2 gene was found in all analyzed isolates and the protein variant recognized by PM3A/F occurred globally at high frequencies. Single‐residue alterations in AVRPM3 A2/F2 mostly disrupted, but occasionally enhanced, the recognition response by PM3A, PM3F and PM3 F L 456P/Y458H. Residues enhancing hypersensitive responses constituted a protein domain separate from both naturally occurring polymorphisms and positively selected residues of the gene family.

          • These results demonstrate the utility of using gene family sequence diversity to screen residues for their role in recognition. This approach identified a putative interaction surface in AVRPM3 A2/F2 not polymorphic in natural alleles. We conclude that molecular mechanisms besides recognition drive AvrPm3 a2/f2 diversification.

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          Most cited references39

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations

            We present TranslatorX, a web server designed to align protein-coding nucleotide sequences based on their corresponding amino acid translations. Many comparisons between biological sequences (nucleic acids and proteins) involve the construction of multiple alignments. Alignments represent a statement regarding the homology between individual nucleotides or amino acids within homologous genes. As protein-coding DNA sequences evolve as triplets of nucleotides (codons) and it is known that sequence similarity degrades more rapidly at the DNA than at the amino acid level, alignments are generally more accurate when based on amino acids than on their corresponding nucleotides. TranslatorX novelties include: (i) use of all documented genetic codes and the possibility of assigning different genetic codes for each sequence; (ii) a battery of different multiple alignment programs; (iii) translation of ambiguous codons when possible; (iv) an innovative criterion to clean nucleotide alignments with GBlocks based on protein information; and (v) a rich output, including Jalview-powered graphical visualization of the alignments, codon-based alignments coloured according to the corresponding amino acids, measures of compositional bias and first, second and third codon position specific alignments. The TranslatorX server is freely available at http://translatorx.co.uk.
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              Estimating synonymous and nonsynonymous substitution rates under realistic evolutionary models.

              Q. Z. Yang (2000)
              Approximate methods for estimating the numbers of synonymous and nonsynonymous substitutions between two DNA sequences involve three steps: counting of synonymous and nonsynonymous sites in the two sequences, counting of synonymous and nonsynonymous differences between the two sequences, and correcting for multiple substitutions at the same site. We examine complexities involved in those steps and propose a new approximate method that takes into account two major features of DNA sequence evolution: transition/transversion rate bias and base/codon frequency bias. We compare the new method with maximum likelihood, as well as several other approximate methods, by examining infinitely long sequences, performing computer simulations, and analyzing a real data set. The results suggest that when there are transition/transversion rate biases and base/codon frequency biases, previously described approximate methods for estimating the nonsynonymous/synonymous rate ratio may involve serious biases, and the bias can be both positive and negative. The new method is, in general, superior to earlier approximate methods and may be useful for analyzing large data sets, although maximum likelihood appears to always be the method of choice.
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                Author and article information

                Contributors
                dazhaoyu@china.com
                s.bourras@botinst.uzh.ch
                bkeller@botinst.uzh.ch
                Journal
                New Phytol
                New Phytol
                10.1111/(ISSN)1469-8137
                NPH
                The New Phytologist
                John Wiley and Sons Inc. (Hoboken )
                0028-646X
                1469-8137
                17 February 2018
                April 2018
                : 218
                : 2 ( doiID: 10.1111/nph.2018.218.issue-2 )
                : 681-695
                Affiliations
                [ 1 ] Department of Plant and Microbial Biology University of Zürich Zollikerstrasse 107 8008 Zürich Switzerland
                [ 2 ] Institute of Plant Science ARO‐Volcani Center 50250 Bet Dagan Israel
                [ 3 ] Department of Plant Pathology and Microbiology The Robert H. Smith Faculty of Agriculture, Food and Environment The Hebrew University of Jerusalem Rehovot 76100 Israel
                [ 4 ] United States Department of Agriculture‐Agricultural Research Service (USDA‐ARS) North Carolina State University Raleigh NC 27695 USA
                [ 5 ] Department of Plant Pathology North Carolina State University Raleigh NC 27695 USA
                [ 6 ] Institute of Plant Protection and Soil Science Hubei Academy of Agricultural Sciences 430064 Wuhan China
                [ 7 ] Ministry of Agriculture Key Laboratory of Integrated Pest Management in Crops in Central China 430064 Wuhan China
                [ 8 ] College of Life Science Wuhan University 430072 Wuhan China
                Author notes
                [*] [* ] Authors for correspondence:

                Beat Keller

                Tel: +41 44 634 8230

                Email: bkeller@ 123456botinst.uzh.ch

                Salim Bourras

                Tel: +41 44 634 8207

                Email: s.bourras@ 123456botinst.uzh.ch

                Dazhao Yu

                Tel: +86 13871126229

                Email: dazhaoyu@ 123456china.com

                Author information
                http://orcid.org/0000-0002-9107-2661
                http://orcid.org/0000-0002-7885-4482
                http://orcid.org/0000-0002-9133-4406
                http://orcid.org/0000-0001-5594-2319
                http://orcid.org/0000-0002-8155-5408
                http://orcid.org/0000-0003-2576-2063
                http://orcid.org/0000-0003-0855-5433
                http://orcid.org/0000-0003-2379-9225
                Article
                NPH15026 2017-24532
                10.1111/nph.15026
                6175116
                29453934
                912d58b7-f602-49f0-abfd-12c100d6e1db
                © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 May 2017
                : 05 January 2018
                Page count
                Figures: 6, Tables: 4, Pages: 15, Words: 12009
                Funding
                Funded by: Swiss National Science Foundation
                Award ID: 310030‐163260
                Categories
                Full Paper
                Research
                Full Papers
                Custom metadata
                2.0
                nph15026
                April 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.0 mode:remove_FC converted:08.10.2018

                Plant science & Botany
                avirulence gene,blumeria graminis,gene synthesis,natural diversity,nicotiana benthamiana,pm3,site‐directed mutagenesis,wheat

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