Epigenetic modifications can yield information about connections between genotype, phenotype variation and environmental conditions. Bud dormancy release in temperate perennial fruit trees depends on internal and environmental signals such as cold accumulation and photoperiod. Previous investigations have noted the participation of epigenetic mechanisms in the control of this physiological process. We examined whether epigenetic modifications were modulated in MADS-box genes, potential candidates for the regulation of bud dormancy and flowering in sweet cherry (Prunus avium L.). We identified and cloned two MADS-box genes homologous to the already-characterized dormancy regulators DORMANCY-ASSOCIATED MADS-box (DAM3 and DAM5) from Prunus persica (L.) Batsch. Bisulfite sequencing of the identified genes (PavMADS1 and PavMADS2), Methylated DNA Immunoprecipitation and small RNA deep sequencing were performed to analyze the presence of DNA methylations that could be guided by non-coding RNAs in the floral buds exposed to differential chilling hours. The results obtained reveal an increase in the level of DNA methylation and abundance of matching small interference RNAs (siRNAs) in the promoter of PavMADS1 when the chilling requirement is complete. For the first intron and 5′ UTR of PavMADS1, de novo DNA methylation could be associated with the increase in the abundance of 24-nt siRNA matching the promoter area. Also, in the second large intron of PavMADS1, maintenance DNA methylation in all cytosine contexts is associated with the presence of homologous siRNAs in that zone. For PavMADS2, only maintenance methylation was present in the CG context, and no matching siRNAs were detected. Silencing of PavMADS1 and PavMADS2 coincided with an increase in Flowering Locus T expression during dormancy. In conclusion, DNA methylations and siRNAs appear to be involved in the silencing of PavMADS1 during cold accumulation and dormancy release in sweet cherry.

Background: In plants, host factors encoded by susceptibility (S) genes are indispensable for viral infection. Resistance is achieved through the impairment or the absence of those susceptibility factors. ManySgenes have been cloned from model and crop species and a majority of them are coding for members of the eukaryotic translation initiation complex, mainly eIF4E, eIF4G and their isoforms. The aim of this study was to investigate the role of those translation initiation factors in susceptibility of stone fruit species to sharka, a viral disease due toPlum pox virus(PPV).Results: For this purpose, hairpin-inducing silencing constructs based onPrunus persicaorthologs were used to generatePrunus salicina(Japanese plum) 4E and 4G silenced plants byAgrobacterium tumefaciens-mediated transformation and challenged with PPV. While down-regulatedeIFiso4Etransgenic Japanese plums were not regenerated in our conditions,eIFiso4G11-, but not theeIFiso4G10-, silenced plants displayed durable and stable resistance to PPV. We also investigated the alteration of the si- and mi-RNA profiles in transgenic and wild-type Japanese plums upon PPV infection and confirmed that the newly generated small interfering (si) RNAs, which are derived from the engineered inverted repeat construct, are the major contributor of resistance to sharka.Conclusions: Our results indicate thatSgene function of the translation initiation complex isoform is conserved inPrunusspecies. We discuss the possibilities of using RNAi silencing or loss-of-function mutations of the different isoforms of proteins involved in this complex to breed for resistance to sharka in fruit trees.

Botrytis cinerea and Trichoderma atroviride are two relevant fungi in agricultural systems. To gain insights into these organisms’ transcriptional gene regulatory networks (GRNs), we generated a manually curated transcription factor (TF) dataset for each of them, followed by a GRN inference utilizing available sequence motifs describing DNA-binding specificity and global gene expression data. As a proof of concept of the usefulness of this resource to pinpoint key transcriptional regulators, we employed publicly available transcriptomics data and a newly generated dual RNA-seq dataset to build context-specific Botrytis and Trichoderma GRNs under two different biological paradigms: exposure to continuous light and Botrytis-Trichoderma confrontation assays. Network analysis of fungal responses to constant light revealed striking differences in the transcriptional landscape of both fungi. On the other hand, we found that the confrontation of both microorganisms elicited a distinct set of differentially expressed genes with changes in T. atroviride exceeding those in B. cinerea. Using our regulatory network data, we were able to determine, in both fungi, central TFs involved in this interaction response, including TFs controlling a large set of extracellular peptidases in the biocontrol agent T. atroviride. In summary, our work provides a comprehensive catalog of transcription factors and regulatory interactions for both organisms. This catalog can now serve as a basis for generating novel hypotheses on transcriptional regulatory circuits in different experimental contexts.

A new plant commensal Pseudomonas veronii isolate (strain R4) was identified from a Xiphinema index biocontrol screen. Isolated from grapevine roots from vineyards in central Chile, the strain R4 exhibited a slower yet equivalently effective nematicide activity as the well-characterized P. protegens CHA0. Whole genome sequencing of strain R4 and comparative analysis among the available Pseudomonas spp. genomes allowed for the identification of gene clusters that encode putative extracellular proteases and lipase synthesis and secretion systems, which are proposed to mediate—at least in part—the observed nematicidal activity. In addition, R4 strain presented relevant gene clusters related to metal tolerance, which is typical in P. veronii. Bioinformatics analyses also showed gene clusters associated with plant growth promoting activity, such as indole-3-acetic acid synthesis. In addition, the strain R4 genome presented a metabolic gene clusters associated with phosphate and ammonia biotransformation from soil, which could improve their availability for plants.