Project description:Recent attempts to increase endogenous disease resistance of plants by overexpression of anti-fungal transgenes have shown a potential of this method. However, it has also been shown that such improvements are usually small. One of the obvious reasons for this low anti-fungal effect might be the regulation of endogenous genes in parallel. In this project, we will study the effect of anti-fungal transgenes on the endogenous gene expression. Such effects might relate to substantial equivalence which is a biosafety issue of concern to the public. The GeneChip Wheat Genome Array will be used to detect expression of defence response genes and key genes of metabolic pathways. We will use wheat plants transformed with anti-fungal gene of specific effect against a small group of seed transmitted, pathogenic fungi (KP4 against smuts and bunts). Transformed spring wheat line will be challenged by stinking smut (inhibited by KP4). The effect on the endogenous gene expression will be tested for plants grown in the field in collaboration with the USDA Department. This work will contribute to our understanding of plant defence responses in general and may allow improving strategies to strengthen these responses.
Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.
Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from several tissues from prairie voles (Microtus ochrogaster). Ear, liver, and brain samples from the Cornell University prairie vole colony were collected from 48 male and female prairie voles at various life stages: neonatal (<1 month old), sub-adult (2-4 months old), mature adult (4-10 months old), and middle aged/old adult (>10 months old). The pair bonded male and female prairie voles used in our study cohabitated with their partners for several months and produced at least three generations of litters. Animals were euthanized via rapid decapitation, their tissues rapidly extracted and frozen on dry ice before being stored at -80C until further processing for genomic DNA extraction. Brains were coronally sectioned and brain regions from the pair bonding circuit (PBC) were micro-dissected and pooled for each animal. The PBC brain regions included the prefrontal cortex, nucleus accumbens, lateral septum, ventral pallidum, and medial amygdala, and ventral tegmental area. Genomic DNA was isolated and purified using the phenol-chloroform extraction and ethanol precipitation method. A total of 144 tissue samples were collected and processed for DNA methylation analysis. Tissues: Brain, Ear, Liver
Project description:Recent attempts to increase endogenous disease resistance of plants by overexpression of anti-fungal transgenes have shown a potential of this method. However, it has also been shown that such improvements are usually small. One of the obvious reasons for this low anti-fungal effect might be the regulation of endogenous genes in parallel. In this project, we will study the effect of anti-fungal transgenes on the endogenous gene expression. Such effects might relate to substantial equivalence which is a biosafety issue of concern to the public. The GeneChip Wheat Genome Array will be used to detect expression of defence response genes and key genes of metabolic pathways. We will use wheat plants transformed with anti-fungal gene of specific effect against a small group of seed transmitted, pathogenic fungi (KP4 against smuts and bunts). Transformed spring wheat line will be challenged by stinking smut (inhibited by KP4). The effect on the endogenous gene expression will be tested for plants grown in the field in collaboration with the USDA Department. This work will contribute to our understanding of plant defence responses in general and may allow improving strategies to strengthen these responses. Teliospores of pathogenic races T-1, T-5 and T-16 of T. caries provided by a collection in Aberdeen, ID, USA were used for the tests. Seeds of the genetically engineered Swiss spring wheat variety Greina (GrKP4) and the null-segregant control line (Gr0) were coated with spores and Individual plants were scored for bunt symptoms. For microarray analysis only samples inoculated with T1 and T16 were used.
Project description:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
Project description:In order to understand the mechanisms of Drought induced susceptibility (DIS) we’ve conducted a dual RNAseq experiment on rice infected tissues by Magnaporthe oryzae. At 4 days post inoculation tissues have been collected on mock inoculated and M. oryzae inoculated plants. Rice were conducted under two type of water regime: DIS Drought during three days before inoculation, NoDIS no drought before inoculation. RNAseq was conducted both on rice and fungal RNA.