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Abstract
Self-incompatibility (SI) is a breeding system that promotes cross-fertilization. In Brassica, pollen rejection is induced by a haplotype-specific interaction between pistil determinant SRK (S receptor kinase) and pollen determinant SP11 (S-locus Protein 11, also named SCR) from the S-locus. Although the structure of the B. rapa S9-SRK ectodomain (eSRK) and S9-SP11 complex has been determined, it remains unclear how SRK discriminates self- and nonself-SP11. Here, we uncover the detailed mechanism of self/nonself-discrimination in Brassica SI by determining the S8-eSRK–S8-SP11 crystal structure and performing molecular dynamics (MD) simulations. Comprehensive binding analysis of eSRK and SP11 structures reveals that the binding free energies are most stable for cognate eSRK–SP11 combinations. Residue-based contribution analysis suggests that the modes of eSRK–SP11 interactions differ between intra- and inter-subgroup (a group of phylogenetically neighboring haplotypes) combinations. Our data establish a model of self/nonself-discrimination in Brassica SI.
Self-incompatibility responses in Brassica are induced by haplotype-specific interactions between the pistil-expressed SRK receptor and pollen-expressed SP11 ligand. Here, via crystal structures and molecular dynamic simulations, the authors provide a model to explain why binding of cognate partners is favoured and how haplotypes can be distinguished.
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1 The University of Tokyo, Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
2 The University of Tokyo, Department of Biotechnology, Graduate School of Agricultural and Life Sciences, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Collaborative Research Institute for Innovative Microbiology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
3 Nara Institute of Science and Technology, Graduate School of Biological Sciences, Nara, Japan (GRID:grid.260493.a) (ISNI:0000 0000 9227 2257)
4 Tohoku University, Graduate School of Life Sciences, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
5 Tokyo Metropolitan University, Graduate School of Science, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030)
6 Nara Institute of Science and Technology, Graduate School of Biological Sciences, Nara, Japan (GRID:grid.260493.a) (ISNI:0000 0000 9227 2257); The University of Tokyo, Graduate School of Pharmaceutical Sciences, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
7 The University of Tokyo, Department of Biotechnology, Graduate School of Agricultural and Life Sciences, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Collaborative Research Institute for Innovative Microbiology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
8 Osaka Kyoiku University, Division of Natural Science, Kashiwara, Japan (GRID:grid.412382.e) (ISNI:0000 0001 0660 7282)