Genetic signatures of plant resistance genes with known function within and between species
- 17 Downloads
Plant disease resistance (R) genes have undergone significant evolutionary divergence to cope with rapid changes in pathogens. These highly variable evolutionary patterns may have contributed to diversity in R gene protein families or structures. Here, the evolutionary patterns of 76 identified R genes and their homologs were investigated within and between plant species. Results demonstrated that nucleotide binding sites and leucine-rich-repeat genes located in loci with complex evolutionary histories tended to evolve rapidly, have high variation in copy numbers, exhibit high levels of nucleotide variation and frequent gene conversion events, and also exhibit high non-synonymous to synonymous substitution ratios in LRR regions. However, non-NBS-LRR R genes are relatively well conserved with constrained variation and are more likely to participate in the basic defense system of hosts. In addition, both conserved and highly divergent evolutionary patterns were observed for the same R genes and were consistent with inter- and intra-specific distributions of some R genes. These results thus indicate either continuous or altered evolutionary patterns between and within species. The present investigation is the first attempt to investigate evolutionary patterns among all clearly functional R genes. The results reported here thus provide a foundation for future plant disease studies.
KeywordsDisease resistance gene Plants Genetic variation
This work was funded by Jiangsu Planned Projects for Postdoctoral Research Funds (1601080C), the Jiangsu University Natural Science Foundation Funded Project (17KJB310015), and the Research Foundation for Talented Scholars at Xuzhou Medical University (D2015001, D2017020).
Compliance with ethical standards
Conflict of interest
All authors declare that they no conflict of interest.
- And HK, Jones JDG (2003) Plant disease resistance genes. Annurevplant Physiolplant Molbiol 48:575Google Scholar
- Nei M, Gojobori T (1986) Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol 3:418Google Scholar
- Norusis M, Spss I (2010) IBM SPSS statistics 19 statistical procedures companion. Proc Cambridge Philos Soc 45:354–359Google Scholar
- Wu K, Xu T, Guo C, Zhang X, Yang S (2012) Heterogeneous evolutionary rates of Pi2/9 homologs in rice. BMC Genet 13:1–12Google Scholar