Perturbation of H3K27me3-Associated Epigenetic Processes Increases Agrobacterium-Mediated Transformation

Lysine 27 of histone H3.3 is a fine modulator of developmental gene expression and stands as an epigenetic checkpoint for lignin biosynthesis in Arabidopsis

Chromatin is a dynamic platform within which gene expression is controlled by epigenetic modifications, notably targeting amino acid residues of histone H3. Among them is lysine 27 of H3 (H3K27), the trimethylation of which by the Polycomb Repressive Complex 2 (PRC2) is instrumental in regulating spatiotemporal patterns of key developmental genes. H3K27 is also subjected to acetylation and is found at sites of active transcription. Most information on the function of histone residues and their associated modifications in plants was obtained from studies of loss-of-function mutants for the complexes that modify them. To decrypt the genuine function of H3K27, we expressed a non-modifiable variant of H3 at residue K27 (H3.3^K27A ) in Arabidopsis, and developed a multi-scale approach combining in-depth phenotypical and cytological analyses, with transcriptomics and metabolomics. We uncovered that the H3.3^K27A variant causes severe developmental defects, part of them are reminiscent of PRC2 mutants, part of them are new. They include early flowering, increased callus formation and short stems with thicker xylem cell layer. This latest phenotype correlates with mis-regulation of phenylpropanoid biosynthesis. Overall, our results reveal novel roles of H3K27 in plant cell fates and metabolic pathways, and highlight an epigenetic control point for elongation and lignin composition of the stem.

Pathways of DNA Transfer to Plants from Agrobacterium tumefaciens and Related Bacterial Species

Genetic transformation of host plants by Agrobacterium tumefaciens and related species represents a unique model for natural horizontal gene transfer. Almost five decades of studying the molecular interactions between Agrobacterium and its host cells have yielded countless fundamental insights into bacterial and plant biology, even though several steps of the DNA transfer process remain poorly understood. Agrobacterium spp. may utilize different pathways for transferring DNA, which likely reflects the very wide host range of Agrobacterium. Furthermore, closely related bacterial species, such as rhizobia, are able to transfer DNA to host plant cells when they are provided with Agrobacterium DNA transfer machinery and T-DNA. Homologs of Agrobacterium virulence genes are found in many bacterial genomes, but only one non-Agrobacterium bacterial strain, Rhizobium etli CFN42, harbors a complete set of virulence genes and can mediate plant genetic transformation when carrying a T-DNA-containing plasmid.

Screening internal controls for expression analyses involving numerous treatments by combining statistical methods with reference gene selection tools

Real-time PCR is always the method of choice for expression analyses involving comparison of a large number of treatments. It is also the favored method for final confirmation of transcript levels followed by high throughput methods such as RNA sequencing and microarray. Our analysis comprised 16 different permutation and combinations of treatments involving four different Agrobacterium strains and three time intervals in the model plant Arabidopsis thaliana. The routinely used reference genes for biotic stress analyses in plants showed variations in expression across some of our treatments. In this report, we describe how we narrowed down to the best reference gene out of 17 candidate genes. Though we initiated our reference gene selection process using common tools such as geNorm, Normfinder and BestKeeper, we faced situations where these software-selected candidate genes did not completely satisfy all the criteria of a stable reference gene. With our novel approach of combining simple statistical methods such as t test, ANOVA and post hoc analyses, along with the routine software-based analyses, we could perform precise evaluation and we identified two genes, UBQ10 and PPR as the best reference genes for normalizing mRNA levels in the context of 16 different conditions of Agrobacterium infection. Our study emphasizes the usefulness of applying statistical analyses along with the reference gene selection software for reference gene identification in experiments involving the comparison of a large number of treatments.

Integration of Agrobacterium T-DNA into the Plant Genome

Agrobacterium strains transfer a single-strand form of T-DNA (T-strands) and Virulence (Vir) effector proteins to plant cells. Following transfer, T-strands likely form complexes with Vir and plant proteins that traffic through the cytoplasm and enter the nucleus. T-strands may subsequently randomly integrate into plant chromosomes and permanently express encoded transgenes, a process known as stable transformation. The molecular processes by which T-strands integrate into the host genome remain unknown. Although integration resembles DNA repair processes, the requirement of known DNA repair pathways for integration is controversial. The configuration and genomic position of integrated T-DNA molecules likely affect transgene expression, and control of integration is consequently important for basic research and agricultural biotechnology applications. This article reviews our current knowledge of the process of T-DNA integration and proposes ways in which this knowledge may be manipulated for genome editing and synthetic biology purposes.