Project description:We experimentally generated a genome-wide gene expression data. To this end, we first collected samples of three important haploid developmental stages, specifically germinating spores (gametophyte_1), protonemata (gametophyte_2) and young gametophores (gametophyte_3) (four biological replicates each). We also collected three developmental stages of the diploid phase (sporophyte), specifically sporophytes shorter than 5mm (sporophyte_1), elongated needle-like sporophytes (sporophyte_2), and sporophytes with swollen capsules (sporophyte_3)
Project description:Bryophytes are the most basal of the extant land plants. A major feature of these plants is the biphasic alteration of generations between a dominant haploid gametophyte and a minor diploid sporophyte phase. To analyse the differences in the transcriptome of the early gametophyte (protonema) and early and mid-sporophyte phases of the moss Physcomitrella patens, microarray gene expression profiles were performed using dissected sporophyte tissue. Through further analysis the early and mid-sporophyte phases were compared. RNA isolated from the Gametophytic protonemal tissue was hybridised to six microarrays. Each microarray was hybridised with RNA from a separate biological replicate. Three of these microarrays were co-hybridised with RNA isolated from early sporophytes. With the third gametophyte biological replicate and early sporophyte replicate a dye swap was carried out. The remaining three microarrays hybridised with RNA from the gametophytes were co-hybridised with RNA from mid-sporophytic tissue. A dye swap was carried out on the sixth gametophyte replicate and third mid-sporophyte replicate.To meet the quality requirements for the microarray experiment, at least 400 sporophytes were used per extraction. Three or four RNA extracts were then pooled for further precipitation to maximise purity and concentration. Up to 1600 sporophytes were harvested to prepare sufficient RNA for each microarray replicate. In bioinformatic analysis the channels were split into individual channels and the early and mid-sporophyte were compared.
Project description:Rice, the world’s most important food crop, is attacked by multiple herbivores and pathogens.the rice striped stem borer (SSB) Chilo suppressalis is one of another most important rice insect pests. Here, we use Affymetrix Whole-Genome rice arrays to detect SSB infestation responsive genes. RNA samples from five damaged stems of SSB-challenged 24 h rice plants or five stems from unchallenged plants (for control samples) were used to array analysis. Two replicate biological experiments of SSB treatment rice arrays and one control samples array were peformed.
Project description:The wheat gene Lr34 confers partial resistance to all races of Puccinia triticina, the causal agent of wheat leaf rust. However, the biological basis for the exceptional durability of Lr34 is unclear. The Affymetrix wheat genome array was used to identify wheat genes differentially expressed in a compatible interaction (Tc), an R-gene mediated incompatible interaction (Tc-Lr1), and a race non-specific resistance interaction (Tc-Lr34) in response to infection challenge by P. triticina race 1 at anthesis. Transcriptome interrogation was conducted by comparing mock- and P. triticina-inoculated leaves harvested at 3 and 7 days post inoculation (dpi). SUBMITTER_CITATION: Bolton, M.D., Kolmer, J.A., Xu, W.W., and Garvin, D.F. 2008. Lr34-mediated leaf rust resistance in wheat: transcript profiling reveals a high energetic demand supported by transient recruitment of multiple metabolic pathways. Molecular Plant-Microbe Interactions 21:1515-1527. Experiment Overall Design: The Affymetrix wheat genome array was used to identify wheat genes differentially expressed in a compatible interaction (Tc), an R-gene mediated incompatible interaction (Tc-Lr1), and a race non-specific resistance interaction (Tc-Lr34) in response to infection challenge by P. triticina race 1 at anthesis. Transcriptome interrogation was conducted on leaves harvested at 3 and 7 days post inoculation (dpi). The study utilized a randomized complete block design with three replicates for each genotype, and employed univariate analysis (t-tests) between mock- and P. triticina-inoculated plants within each genotype at each timepoint, for a total of six comparisons across the entire experiment, utilizing a total 36 Affymetrix Wheat Genome Array GeneChips.
Project description:Competition is a major determinant of plant community structure consisting of both species-specific and general interactions, either of which may influence competitive competency and plant abundance and size. In certain cases, competitive competency could arise from altered gene expression and plant function when an individual is confronted with new competitors. We explored competition at the molecular level by hybridizing transcripts from Centaurea maculosa (spotted knapweed), one of North America's most invasive exotic plant species, to an Arabidopsis microarray chip. Centaurea was grown in competition with Festuca idahoensis (Idaho fescue), a native grass species that generally has weak competitive effects against Centaurea; Gaillardia aristata (Indian blanketflower), a native herbaceous species that tends to be a much stronger competitor against Centaurea; or alone (control). The expression of some genes was found to be relatively uninfluenced by the type of plant neighbor, whereas other patterns of gene expression appeared to be more neighbor specific. To our knowledge, these results are the first to identify genes in an invasive plant that are induced or repressed by plant neighbors and provide a new avenue of insight into the molecular aspects of plant competitive ability. Keywords: treated vs.untreated Files; chip 618 (12-7-05) and chip 623 (1-20-06) are replicates. One channel is root cDNA from Centaurea maculosa grown in isolation and the other channel is root cDNA from Centaurea maculosa grown with a strong competitor, Gaillardia aristata. For each chip, RNA extractions on unique biological samples were performed. Files; chip 720 (2-23-06) and chip 723 (3-17-06) are replicates. One channel is root cDNA from Centaurea maculosa grown in isolation and the other channel is root cDNA from Centaurea maculosa grown with a weak competitor, Festuca idahoensis. For each chip, RNA extractions on unique biological samples were performed.
Project description:Diseases of poplar caused by the fungal pathogen Sphaerulina musiva and related species are of growing concern, particular with the increasing interest in intensive popluliculture to meet increasing energy demands. S. musiva is able to cause infection on leaves, resulting in defoliation and canker formation on stems. To gain a greater understanding of the different responses of poplar species to infection with their natural Sphaerulina species, RNA-seq was conducted on leaves of Populus deltoides, P. balsamifera and P. tremuloides infected with S. musiva, S. populicola and a new undescribed species Ston1, respectively. Progression of disease symptoms, pathogen growth and host response were detected. Through the time course of infection, different and species-specific metabolic pathways were activated. In all three species, genes associated with growth and development were down-regulated, while genes involved the phenylpropanoid, terpenoid and flavonoid biosynthesis were up-regulated. Poplar defensive genes were expressed early in P. balsamifera and P. tremuloides, but delayed in P. deltoides, which correlated with the rate of disease symptoms development. This data gives an insight into the large differences in timing and expression of genes between poplar species being attacked with their native associated Sphaerulina pathogen. RNA-seq was conducted on leaves of Populus deltoides, P. balsamifera and P. tremuloides infected with S. musiva, S. populicola and a new undescribed species Ston1, respectively.
Project description:Fusarium Head Blight susceptible barley variety, Morex, was infected with deoxynivalenol production deficient mutant strain (GZT40) and wild type stains (Z3639) of Fusarium graminearum. The RNA was sampled at 48 and 96 hours after inoculation. and was used hybridize to Barley_1 GeneChip. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jayanand Boddu. The equivalent experiment is BB52 at PLEXdb.] time: 48 hai. - Treated or untreated: WATER(3-replications); time: 48 hai. - Treated or untreated: MUTANT(3-replications); time: 48 hai. - Treated or untreated: WILD TYPE(3-replications); time: 96 hai. - Treated or untreated: WATER(3-replications); time: 96 hai. - Treated or untreated: MUTANT(3-replications); time: 96 hai. - Treated or untreated: WILD TYPE(3-replications)
Project description:This SuperSeries is composed of the following subset Series: GSE29663: Expression profiling of soybean genes in response to drought (vegetative stage) GSE40604: Expression profiling of soybean genes in response to drought (reproductive stage) Refer to individual Series
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling. Soybean plants were grown in pots. When the plants reached the R1 stage (started flowering), drought treatment was imposed by withholding water. The soil moisture content was monitored during the process until the 5th day of water withholding, when soil moisture content reached 5%. The 3rd trifoliate (counting from shoots), now at the R2 stage, was collected for total RNA extraction, while other 3rd trifoliates of similar chlorophyl index were collected for leaves water content determination to identify the severity of the stress. Total RNA from 3rd trifoliates were used for expression profiling using Affymetrix Soybean Gene 1.0 ST arrays. Four biological repeats per treatment were performed, three biological repeats were chosen for expression profiling.
Project description:Poplars are known to be highly tolerant species to boron toxicity and accumulation. However, genes and molecular networks responsible in boron toxicity tolerance have not been investigated yet. Therefore, we performed a pot experiment with 20 black poplar clones collected from the vicinity of boron mines and polluted areas to investigate its potential role in phytoremediation and to select the most boron toxicity tolerant genotype. Trees were treated with irrigation water containing seven elevated boron concentrations from 0 to 160 ppm. Then a microarray based comparative transcriptome profiling was conducted to identify boron toxicity regulated genes responsible in defence responses of black poplar. The results of the study indicated that black poplar is quite suitable for phytoremediation of boron pollution. It could resist 15 ppm soil B content and < 1600 mg/kg boron accumulation in leaves which are highly toxic concentrations for almost all agricultural plants. Transcriptomics results of study revealed totally 1625 and 1419 altered probe sets under boron toxicity in leaf and root tissues, respectively. The highest induction were recorded for the probes sets annotated to tyrosine aminotransferase, ATP binding cassette transporters, glutathione S transferases and metallochaperone proteins. Strong up regulation of these genes attributed to internal excretion of boron into the cell vacuole and existence of detoxification processes in black poplar. Many candidate genes functional in signalling, gene regulation, antioxidation, boron uptake, transport and detoxification processes were also identified in the current study. This is the first transcriptomic study identifying boron toxicity regulated poplar genes and their potential role in boron toxicity tolerance. Total RNA used in microarray experiment was isolated from the leaves and roots of black poplar clone; N.92.237 which accumulated the highest amount of boron its tissues. Total RNA used in the microarray experiment was isolated from leaves and roots of three black poplar saplings grown in ~ 2 ppm (control) and ~ 15 ppm (toxic) soil B contents. RNA isolation was made according to Lithium chloride precipitation method described in Chang et al. (1993). These three isolated RNAs (biological replicates) for each tissue loaded onto three Affymetrix poplar Gene Chips (technical replicates). Totally, 12 GeneChips (2 tissues × 2 different B treatment × 3 biological replicates) were used for transcriptional analysis.