Biotic interactions
Prior exposure to biotic stresses has been reported to have improved the defense response of plants. Studies on this topic have a similar bias towards Arabidopsis and cultivated plants as studies on abiotic stress. Reviews by Alonso et al. (2018) and Mauch-Mani et al. (2017) combined the information on biotic interactions and the epigenetic contribution in the response for several plant species (Alonso, Ramos‐Cruz et al. 2019; Mauch-Mani et al. 2017).
In the natural environment, plants encounter biotic stress like the occurrence of herbivores, parasites, and pathogens, or the absence of symbiotic partners, and competition with other plants, and hence plant defense response has coevolved with the evolution of interacting species and consequently developed diverse strategies of plant defense mechanisms (Karban et al. 1999; Holeski et al. 2012). These strategies have provided plant fitness benefits against stressors, e.g., herbivore damage (Baldwin et al. 1998). Priming and somatic memory to stress, like the exposure to a pathogen, has been repeatedly reported in correlation with epigenetic changes (Lämke and Bäurle 2017). The task for the future, as the authors note, is to overcome "correlation" and test causation. In other words, it is yet unresolved if these epigenetic changes are actively involved in the priming response. However, a notable study by Yu et al. (2013) demonstrated that treating Arabidopsis thaliana with a peptide of bacterial origin induced the active demethylation of transposable elements (TE), which mobilized short-interfering RNAs/siRNAs and led to the transcriptional activation of genes involved in the defense against bacteria (Yu et al. 2013). The study further found that DNA demethylation negatively affected the growth of a bacterial pathogen, suggesting a close link between the two.
Table 2: List of epigenetic modification reported for biotic stress:
Components | Stress | Species | Function | References | Type of plasticity |
DNA methylation | Bacterial infection, chemical stressors | A. thaliana | PR1 Promotor | Slaughter et al. 2012 | Intra-generational |
DNA methylation | Bacterial pathogen, avirulent bacteria, or | A. thaliana | Constitutively overexpress PR1 | Dowen et al. 2012 | Trans-generational |
DNA methylation | Bacterial pathogen Pseudomonas syringae | A. thaliana | Basal- and/or flg22-induced expression of several MAMP-responsive NLRs was enhanced | Yu et al. 2013 | Intra-generational |
H3K27me3,DNA methylation | Bacterial infection | A. thaliana | DNA methylation | Luna et al. 2012 | Trans-generational |
DNA methylation | Tobacco mosaic virus (TMV) | Tobacco | Hypomethylation at the NtAlix1 locus | Wada et al. 2004 | Intra-generational |
DNA methylation | RNA virus | Tomato | SiRNA-mediated methylation | Bian et al. 2006 | Intragenerational |
RNA silencing/DNA methylation | Cucumber mosaic virus (CMV)‐ | Petunia | Targeting dsRNA to the promoter, | Kanazawa et al. 2011 | Trans-generational |
DNA methylation | Caterpillar herbivory | A. thaliana & Tomato | NRPD2A, NRPD2B,DCL2/DCL3/DCL4 | Rasmann et al. 2012 | Trans-generational |
Small RNA | Leaves treated with bacterial flagellin 22 | A. thaliana | MiR393 that negatively regulates messenger RNAs for the F-box auxin receptors TIR1, AFB2, and AFB3, flagellin increases resistance to the bacterum | Navarro et al. 2006 | no information |
chromatin Remodeling | Pseudomonas syringae infection | A. thaliana | SNI1 (SUPRESSOR OF NPR1, INDUCIBLE) | Durrant, Wang, and Dong 2007 | |
histone methylation | Pseudomonas syringae infection | A. thaliana | EMBRYONIC FLOWER 1 and 2 | Kim, Zhu, and Renee Sung 2010 | Intragenerational |
histone methylation | A. brassicicola and B. cinerea infections | A. thaliana | Histone methyltransferase SET DOMAIN GROUP8 | Berr et al. 2010 | trans-generational |
histone deacetylation | Pseudomonas syringae infection | A. thaliana | HDA19 | Choi et al. 2012 |
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