Genome evolution in fungal plant pathogens: looking beyond the two-speed genome model

The interaction of pathogens with their hosts creates strong reciprocal selection pressures. Pathogens often deploy an arsenal of small proteins called effectors that manipulate the plant immune system and promote disease. In the post-genomics era, a major interest has been to understand what shapes the localization of effector genes in pathogen genomes. The two-speed genome model originated with the discovery of repeat-rich and gene-sparse genome compartments with an over-representation of effector-like genes in a subset of plant pathogens. These highly polymorphic genome compartments are thought to create unique niches for effector genes and facilitate rapid adaptation. Research over the past decade has revealed a number of twists to the two-speed genome model and raised questions about the universality among plant pathogens. Here, we critically review the foundations of the two-speed model by presenting recent work on epigenetics, transposable element dynamics, and population genetics. Numerous examples have demonstrated that the location of effector genes in rapidly evolving compartments has created key adaptations. However, recent evidence suggests that the two-speed genome is unlikely to have evolved to specifically benefit the plant pathogen lifestyle. We propose that fundamental drivers of eukaryotic genome evolution have shaped both pathogen and non-pathogen genomes alike. An evolutionary genomics perspective on the two-speed genome model will open up fruitful new research avenues.</p

Genome evolution in fungal plant pathogens: looking beyond the two-speed genome model

The interaction of pathogens with their hosts creates strong reciprocal selection pressures. Pathogens often deploy an arsenal of small proteins called effectors that manipulate the plant immune system and promote disease. In the post-genomics era, a major interest has been to understand what shapes the localization of effector genes in pathogen genomes. The two-speed genome model originated with the discovery of repeat-rich and gene-sparse genome compartments with an over-representation of effector-like genes in a subset of plant pathogens. These highly polymorphic genome compartments are thought to create unique niches for effector genes and facilitate rapid adaptation. Research over the past decade has revealed a number of twists to the two-speed genome model and raised questions about the universality among plant pathogens. Here, we critically review the foundations of the two-speed model by presenting recent work on epigenetics, transposable element dynamics, and population genetics. Numerous examples have demonstrated that the location of effector genes in rapidly evolving compartments has created key adaptations. However, recent evidence suggests that the two-speed genome is unlikely to have evolved to specifically benefit the plant pathogen lifestyle. We propose that fundamental drivers of eukaryotic genome evolution have shaped both pathogen and non-pathogen genomes alike. An evolutionary genomics perspective on the two-speed genome model will open up fruitful new research avenues

Analysis of the bacterial epiphytic microbiota of oak leaf lettuce with 16S ribosomal RNA gene analysis

The leaf microbiota has major influences on the quality of ready-to-eat lettuce. While studies investigating the epi- and endophytic microbiota of lettuce have been published, no protocols focusing only on the epiphytic microbiota exist. As the epiphytic microbiota may be especially influenced by technological steps in the production of ready-to-eat lettuce, an in-depth knowledge of these microorganisms is essential with regard to consumer safety and spoilage. Currently it is not clear to what extent results gained from single samples are representative of the community composition. A technique for the separation of bacterial cells from the leaf surface was applied to green oak leaf lettuce. The bacterial diversity was analysed in triplicate with high throughput Roche 454 sequencing of prokaryotic 16S rRNA genes to analyse the intra-sample variation. Sequence analysis revealed members of the phyla Acidobacteria, Actinobacteria, Bacteroidetes, Firmicutes, Gemmatimonadetes, Proteobacteria and Verrucomicrobia, and of the candidate division WYO. The ten most abundant proteobacterial genera in all three samples were Alkanindiges (24.6%), Pseudomonas (11.3%), Sphingomonas (8.6%), Janthinobacterium (8.3%), Acinetobacter (4.3%), Polaromonas (1.3%), Erwinia (1.1%), and Methylobacterium (1.1%). The genera Pedobacter (2.5%) and Hymenobacter (1.4%) dominated the phylum Bacteroidetes. The intra-sample variation was less than 0.7% for seven of these most abundant genera with the exception of Pseudomonas, Janthinobacterium and Alkanindiges, where larger standard deviations were obtained. This low intra-sample variation demonstrates that the established technique based on oak leaf lettuce is suitable for the culture-independent analysis of the epiphytic bacterial microbiota of produce

Genome evolution in fungal plant pathogens: looking beyond the two-speed genome model

The interaction of pathogens with their hosts creates strong reciprocal selection pressures. Pathogens often deploy an arsenal of small proteins called effectors that manipulate the plant immune system and promote disease. In the post-genomics era, a major interest has been to understand what shapes the localization of effector genes in pathogen genomes. The two-speed genome model originated with the discovery of repeat-rich and gene-sparse genome compartments with an over-representation of effector-like genes in a subset of plant pathogens. These highly polymorphic genome compartments are thought to create unique niches for effector genes and facilitate rapid adaptation. Research over the past decade has revealed a number of twists to the two-speed genome model and raised questions about the universality among plant pathogens. Here, we critically review the foundations of the two-speed model by presenting recent work on epigenetics, transposable element dynamics, and population genetics. Numerous examples have demonstrated that the location of effector genes in rapidly evolving compartments has created key adaptations. However, recent evidence suggests that the two-speed genome is unlikely to have evolved to specifically benefit the plant pathogen lifestyle. We propose that fundamental drivers of eukaryotic genome evolution have shaped both pathogen and non-pathogen genomes alike. An evolutionary genomics perspective on the two-speed genome model will open up fruitful new research avenues

A setup for hard x-ray time-resolved resonant inelastic x-ray scattering at SwissFEL

We present a new setup for resonant inelastic hard x-ray scattering at the Bernina beamline of SwissFEL with energy, momentum, and temporal resolution. The compact R = 0.5 m Johann-type spectrometer can be equipped with up to three crystal analyzers and allows efficient collection of RIXS spectra. Optical pumping for time-resolved studies can be realized with a broad span of optical wavelengths. We demonstrate the performance of the setup at an overall ∼180 meV resolution in a study of ground-state and photoexcited (at 400 nm) honeycomb 5d iridate α-Li2IrO3. Steady-state RIXS spectra at the iridium L3-edge (11.214 keV) have been collected and are in very good agreement with data collected at synchrotrons. The time-resolved RIXS transients exhibit changes in the energy loss region <2 eV, whose features mostly result from the hopping nature of 5d electrons in the honeycomb lattice. These changes are ascribed to modulations of the Ir-to-Ir inter-site transition scattering efficiency, which we associate to a transient screening of the on-site Coulomb interaction

A setup for hard x-ray time-resolved resonant inelastic x-ray scattering at SwissFEL

We present a new setup for resonant inelastic hard x-ray scattering at the Bernina beamline of SwissFEL with energy, momentum, and temporal resolution. The compact R = 0.5 m Johann-type spectrometer can be equipped with up to three crystal analyzers and allows efficient collection of RIXS spectra. Optical pumping for time-resolved studies can be realized with a broad span of optical wavelengths. We demonstrate the performance of the setup at an overall ∼180 meV resolution in a study of ground-state and photoexcited (at 400 nm) honeycomb 5d iridate α-Li2IrO3. Steady-state RIXS spectra at the iridium L3-edge (11.214 keV) have been collected and are in very good agreement with data collected at synchrotrons. The time-resolved RIXS transients exhibit changes in the energy loss region <2 eV, whose features mostly result from the hopping nature of 5d electrons in the honeycomb lattice. These changes are ascribed to modulations of the Ir-to-Ir inter-site transition scattering efficiency, which we associate to a transient screening of the on-site Coulomb interaction

Strain wave pathway to semiconductor-to-metal transition revealed by time-resolved X-ray powder diffraction

International audienceOne of the main challenges in ultrafast material science is to trigger phase transitions with short pulses of light. Here we show how strain waves, launched by electronic and structural precursor phenomena, determine a coherent macroscopic transformation pathway for the semiconducting-to-metal transition in bistable Ti(3)O(5) nanocrystals. Employing femtosecond powder X-ray diffraction, we measure the lattice deformation in the phase transition as a function of time. We monitor the early intra-cell distortion around the light absorbing metal dimer and the long range deformations governed by acoustic waves propagating from the laser-exposed Ti(3)O(5) surface. We developed a simplified elastic model demonstrating that picosecond switching in nanocrystals happens concomitantly with the propagating acoustic wavefront, several decades faster than thermal processes governed by heat diffusion

Strain wave pathway to semiconductor-to-metal transition revealed by time-resolved X-ray powder diffraction

One of the main challenges in ultrafast material science is to trigger phase transitions with short pulses of light. Here we show how strain waves, launched by electronic and structural precursor phenomena, determine a coherent macroscopic transformation pathway for the semiconducting-to-metal transition in bistable Ti3O5 nanocrystals. Employing femtosecond powder X-ray diffraction, we measure the lattice deformation in the phase transition as a function of time. We monitor the early intra-cell distortion around the light absorbing metal dimer and the long range deformations governed by acoustic waves propagating from the laser-exposed Ti3O5 surface. We developed a simplified elastic model demonstrating that picosecond switching in nanocrystals happens concomitantly with the propagating acoustic wavefront, several decades faster than thermal processes governed by heat diffusion