首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Integration of evolutionary and desolvation energy analysis identifies functional sites in a plant immunity protein
  • 本地全文:下载
  • 作者:Manuela Casasoli ; Luca Federici ; Francesco Spinelli
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2009
  • 卷号:106
  • 期号:18
  • 页码:7666-7671
  • DOI:10.1073/pnas.0812625106
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 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 polygalacturonases (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.
  • 关键词:adaptive evolution ; molecular recognition ; plant-pathogen interactions ; protein-protein interactions ; polygalacturonase-inhibiting protein (PGIP)
国家哲学社会科学文献中心版权所有