Plant-parasitic cyst nematodes synthesize and secrete effector proteins that are essential for parasitism. One such protein is the 10A07 effector from the sugar beet cyst nematode, Heterodera schachtii, which is exclusively expressed in the nematode dorsal gland cell during all nematode parasitic stages. Overexpression of H. schachtii 10A07 in Arabidopsis thaliana produced a hypersusceptible phenotype in response to H. schachtii infection along with developmental changes reminiscent of auxin effects. The 10A07 protein physically associates with a plant kinase and the IAA16 transcription factor in the cytoplasm and nucleus, respectively. The interacting plant kinase (IPK) phosphorylates 10A07 at Ser-144 and Ser-231 and mediates its trafficking from the cytoplasm to the nucleus. Translocation to the nucleus is phosphorylation dependent since substitution of Ser-144 and Ser-231 by alanine resulted in exclusive cytoplasmic accumulation of 10A07. IPK and IAA16 are highly upregulated in the nematode-induced syncytium (feeding cells), and deliberate manipulations of their expression significantly alter plant susceptibility to H. schachtii in an additive fashion. An inactive variant of IPK functioned antagonistically to the wild-type IPK and caused a dominant-negative phenotype of reduced plant susceptibility. Thus, exploitation of host processes to the advantage of the parasites is one mechanism by which cyst nematodes promote parasitism of host plants.
Summary Soybean cyst nematode ( SCN ) is the most devastating plant‐parasitic nematode. Most commercial soybean varieties with SCN resistance are derived from PI 88788. Resistance derived from PI 88788 is breaking down due to narrow genetic background and SCN population shift. PI 88788 requires mainly the rhg1‐b locus, while ‘Peking’ requires rhg1‐a and Rhg4 for SCN resistance. In the present study, whole genome re‐sequencing of 106 soybean lines was used to define the Rhg haplotypes and investigate their responses to the SCN HG ‐Types. The analysis showed a comprehensive profile of SNP s and copy number variations ( CNV ) at these loci. CNV of rhg1 (Gm SNAP 18) only contributed towards resistance in lines derived from PI 88788 and ‘Cloud’. At least 5.6 copies of the PI 88788‐type rhg1 were required to confer SCN resistance, regardless of the Rhg4 ( Gm SHMT 08 ) haplotype. However, when the Gm SNAP 18 copies dropped below 5.6, a ‘Peking’‐type Gm SHMT 08 haplotype was required to ensure SCN resistance. This points to a novel mechanism of epistasis between Gm SNAP 18 and Gm SHMT 08 involving minimum requirements for copy number. The presence of more Rhg4 copies confers resistance to multiple SCN races. Moreover, transcript abundance of the Gm SHMT 08 in root tissue correlates with more copies of the Rhg4 locus, reinforcing SCN resistance. Finally, haplotype analysis of the Gm SHMT 08 and Gm SNAP 18 promoters inferred additional levels of the resistance mechanism. This is the first report revealing the genetic basis of broad‐based resistance to SCN and providing new insight into epistasis, haplotype‐compatibility, CNV , promoter variation and its impact on broad‐based disease resistance in plants.
ORCID IDs: 0000-0003-4046-1672 (J.H.R.); 0000-0003-4082-9502 (T.L.); 0000-0003-2971-9353 (M.S.).The soybean cyst nematode (SCN; Heterodera glycines) induces the formation of a multinucleated feeding site, or syncytium, whose etiology includes massive gene expression changes. Nevertheless, the genetic networks underlying gene expression control in the syncytium are poorly understood. DNA methylation is a critical epigenetic mark that plays a key role in regulating gene expression. To determine the extent to which DNA methylation is altered in soybean (Glycine max) roots during the susceptible interaction with SCN, we generated whole-genome cytosine methylation maps at single-nucleotide resolution. The methylome analysis revealed that SCN induces hypomethylation to a much higher extent than hypermethylation. We identified 2,465 differentially hypermethylated regions and 4,692 hypomethylated regions in the infected roots compared with the noninfected control. In addition, 703 and 1,346 unique genes were identified as overlapping with hyper-or hypomethylated regions, respectively. The differential methylation in genes apparently occurs independently of gene size and GC content but exhibits strong preference for recently duplicated paralogs. Furthermore, a set of 278 genes was identified as specifically syncytium differentially methylated genes. Of these, we found genes associated with epigenetic regulation, phytohormone signaling, cell wall architecture, signal transduction, and ubiquitination. This study provides, to our knowledge, new evidence that differential methylation is part of the regulatory mechanisms controlling gene expression changes in the nematode-induced syncytium.
A growing body of evidence indicates that epigenetic modifications can provide efficient, dynamic, and reversible cellular responses to a wide range of environmental stimuli. However, the significance of epigenetic modifications in plant-pathogen interactions remains largely unexplored. In this study, we provide a comprehensive analysis of epigenome changes during the compatible interaction between the beet cyst nematode Heterodera schachtii and Arabidopsis (Arabidopsis thaliana). Whole-genome bisulfite sequencing was conducted to assess the dynamic changes in the methylome of Arabidopsis roots in response to H. schachtii infection. H. schachtii induced widespread hypomethylation of protein-coding genes and transposable elements (TEs), preferentially those adjacent to protein-coding genes. The abundance of 24-nt siRNAs was associated with hypermethylation of TEs and gene promoters, with influence observed for methylation context and infection time points. mRNA sequencing revealed a significant enrichment for the differentially methylated genes among the differentially expressed genes, specifically those with functions corresponding to primary metabolic processes and responses to stimuli. The differentially methylated genes overlapped with more than one-fourth of the syncytium differentially expressed genes and are of functional significance. Together, our results provide intriguing insights into the potential regulatory role of differential DNA methylation in shaping the biological interplay between cyst nematodes and host plants.
Growth regulating factors (GRFs) are a conserved class of transcription factor in seed plants. GRFs are involved in various aspects of tissue differentiation and organ development. The implication of GRFs in biotic stress response has also been recently reported, suggesting a role of these transcription factors in coordinating the interaction between developmental processes and defense dynamics. However, the molecular mechanisms by which GRFs mediate the overlaps between defense signaling and developmental pathways are elusive. Here, we report large scale identification of putative target candidates of Arabidopsis GRF1 and GRF3 by comparing mRNA profiles of the grf1/grf2/grf3 triple mutant and those of the transgenic plants overexpressing miR396-resistant version of GRF1 or GRF3. We identified 1,098 and 600 genes as putative targets of GRF1 and GRF3, respectively. Functional classification of the potential target candidates revealed that GRF1 and GRF3 contribute to the regulation of various biological processes associated with defense response and disease resistance. GRF1 and GRF3 participate specifically in the regulation of defense-related transcription factors, cell-wall modifications, cytokinin biosynthesis and signaling, and secondary metabolites accumulation. GRF1 and GRF3 seem to fine-tune the crosstalk between miRNA signaling networks by regulating the expression of several miRNA target genes. In addition, our data suggest that GRF1 and GRF3 may function as negative regulators of gene expression through their association with other transcription factors. Collectively, our data provide new insights into how GRF1 and GRF3 might coordinate the interactions between defense signaling and plant growth and developmental pathways.
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