...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Integration of evolutionary and desolvation energy analysis identifies functional sites in a plant immunity protein
【24h】

Integration of evolutionary and desolvation energy analysis identifies functional sites in a plant immunity protein

机译：整合进化和去溶剂化能量分析可确定植物免疫蛋白中的功能位点

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Plant immune responses often depend on leucine-rich repeat receptors that recognize microbe-associated molecular patterns or pathogen-specific virulence proteins, either directly or indirectly. When the recognition is direct, a molecular arms race takes place where plant receptors continually and rapidly evolve in response to virulence factor evolution. A useful model system to study ligand-receptor coevolution dynamics at the protein level is represented by the interaction between pathogen-derived polygalac-turonases (PGs) and plant polygalacturonase-inhibiting proteins (PGIPs). We have applied codon substitution models to PGIP sequences of different eudicotyledonous families to identify putative positively selected sites and then compared these sites with the propensity of protein surface residues to interact with protein partners, based on desolvation energy calculations. The 2 approaches remarkably correlated in pinpointing several residues in the concave face of the leucine-rich repeat domain. These residues were mutated into alanine and their effect on the recognition of several PGs was tested, leading to the identification of unique hotspots for the PGIP-PG interaction. The combined approach used in this work can be of general utility in cases where structural information about a pattern-recognition receptor or resistance-gene product is available.
机译：植物的免疫反应通常依赖于富含亮氨酸的重复受体，该受体直接或间接识别与微生物相关的分子模式或病原体特异性毒力蛋白。当直接识别时，发生分子军备竞赛，其中植物受体响应毒力因子的进化而持续快速地进化。在蛋白质水平上研究配体-受体协同进化动力学的有用模型系统，是由病原体衍生的聚半乳糖-turonases（PGs）和植物多聚半乳糖醛酸酶抑制蛋白（PGIPs）之间的相互作用代表的。我们已经将密码子替代模型应用于不同双子叶植物家族的PGIP序列，以识别推定的阳性选择位点，然后基于去溶剂化能量计算，将这些位点与蛋白质表面残基与蛋白质伴侣相互作用的倾向进行比较。这两种方法在确定富含亮氨酸的重复结构域的凹面中的多个残基方面具有显着相关性。这些残基突变为丙氨酸，测试了它们对几种PG识别的影响，从而确定了PGIP-PG相互作用的独特热点。在可以获得有关模式识别受体或抗性基因产物的结构信息的情况下，这项工作中使用的组合方法可能具有普遍用途。

著录项

  • 来源
  • 作者

    Manuela Casasoli; Luca Federici; Francesco Spinelli; Adele Di Matteo; Nicoletta Vella; Flavio Scaloni; Juan Fernandez-Recio; Felice Cervone; Giulia De Lorenzo;

  • 作者单位

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    Centro Studi sull'lnvecchiamento and Dipartimento di Scienze Biomediche, Universita di Chieti 'G. D'Annunzio', 66013 Chieti, Italy;

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    lstituto Pasteur-Fondazione Cenci Bolognetti Dipartimento di Scienze Biochimiche, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    Life Science Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain;

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

    lstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Biologia Vegetale, Universita di Roma 'La Sapienza' 00185 Rome, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    adaptive evolution; molecular recognition; plant-pathogen interactions; protein-protein interactions; polygalacturonase-inhibiting protein (PGIP);

    机译：适应性进化;分子识别植物-病原体相互作用;蛋白质相互作用聚半乳糖醛酸酶抑制蛋白（PGIP）;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号