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. 2009 May 5;106(18):7666-71.
doi: 10.1073/pnas.0812625106. Epub 2009 Apr 16.

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

Affiliations

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

Manuela Casasoli et al. Proc Natl Acad Sci U S A. .

Abstract

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.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Stereoview of the crystal structure of PvPGIP2 showing the 16 positively selected sites (PP >0.95). These sites are highlighted in green in the sequence; putative positively sites (PP >0.80) are highlighted in yellow; residues located in the concave surface that includes the β-sheet B1 (24) are framed.
Fig. 2.
Fig. 2.
Representation of PvPGIP2 surface with highlighted (A) positively selected sites (ω>1) with PP >0.95 (green) and with PP >0.80 (yellow), (B) residues showing ODA values lower than –6.0 kcal/mol (red) and (C) (merged figure) residues with both ODA <–6 kcal/mol and ω >1 (PP >0.80) (cyan). Three residues that significantly affect the interaction when mutated, as shown in Table 3, are indicated.

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