Geranium maderense
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA173445 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Geranium maderense Transcriptome or Gene expression
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Project description:Phylogenetic and population analysis of Geranium yesoense
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Project description:Soil community conditioning by 8 Geranium species.
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Project description:We used microarrays to discern patterns of gene expression in response to global climate change factors on leaf tissue of an annual dicot, Geranium dissectum, growing in a natural grassland. Keywords: multifactorial global change treatments
2007-06-01 | GSE6597 | GEO
Project description:Contrasting shade avoidance responses in two wild Geranium species: TSA assembly of Geranium pyrenaicum and Geranium robertianum
| PRJEB18552 | ENA
Project description:We used microarrays to discern patterns of gene expression in response to global climate change factors on leaf tissue of an annual dicot, Geranium dissectum, growing in a natural grassland. Keywords: multifactorial global change treatments There are 5-8 biological replicates for each of the sixteen treatments - a total of 100 samples. The four global change factors at two levels are ambient or elevated CO2, ambient temperature or ambient + 1 degree C warming, natural rainfall (601.2 mm/yr) or natural rainfall supplemented with 50% of every storm added immediately following each storm with a 3 week season extension, ambient growth nitrogen or ambient supplemented with 7 g N m-2 y-1, supplied as Ca(NO3)2. There were 16 treatments applied in a nested design in the field.We hybridized the Geranium samples using cross-species hybridization to Arabidopsis cDNA arrays which had an Arabisopsis genomic DNA common reference in the Cy3 channel.
2007-06-01 | E-GEOD-6597 | biostudies-arrayexpress
Project description:In dense plant stands, the ratio between red and far-red (R:FR) light declines and shade intolerant species will respond to this cue for future shade by inducing the shade avoidance syndrome (SAS), enabling them to outgrow their neighbours. Shade tolerant species from the forest understory are unable to outgrow neighbouring trees and will suppress SAS. Although the molecular mechanisms underlying SAS are well studied in various species, mechanisms of SAS-suppression in shade tolerant species have rarely been studied. We applied RNA sequencing on Geranium pyrenaicum and G. robertianum, two wild species with contrasting growth responses to low R:FR light. G. pyrenaicum strongly induces petiole elongation when exposed to low R:FR light, at any time of the photoperiod. Contrastingly, G. robertianum only induces this response early in the day, and suppresses petiole growth in low R:FR light at the end of the photoperiod, which results after 24 hours in a net difference with control treatments of zero. We compared expression patterns in the most apical (most responsive) part of the second petioles, in two-week-old Geranium plants (two leaf stage) after 2 and 11.5 hours of far-red light enrichment. This way, we identified a number of novel candidate regulators of shade avoidance, and differential phytochrome control of plant immunity genes in the two species. For de-novo assembly of the reference transcriptomes, we pooled petiole- and leaf lamina tissue exposed to normal white light (180 mol m-2 s-1 PAR, R:FR 1.8, ± 60 mol m-2 s-1 blue light), low R:FR light (0.2), blue-depleted light (± 4 mol m-2 s-1 blue) and green shade (50 mol m-2 s-1 PAR, R:FR 0.45, ± 13 mol m-2 s-1 blue) for 2, 11.5 and 24 hours. Libraries of these samples were normalized, Illumina sequenced, and together with sequences of non-normalized petiole samples of the expression analysis constructed into a reference transcriptome for each species, using the Trinity protocol. Transcripts were clustered into orthologue clusters using the ortho-MCL clustering technique. Non-normalized libraries of samples (control vs. low R:FR light, 2 and 11.5 hours after start of the treatment) were sequenced and aligned to the newly assembled transcriptomes. Read counts were summed per orthologue cluster before statistical analysis was proceeded.
2017-02-01 | E-MTAB-5371 | biostudies-arrayexpress