Project description:Plants need to be able to respond to changes quickly due to the inability of a plant to change location. Hormones within the plant signal for these transcriptional changes that will affect the plant's ability to survive. Strigolactone is a plant hormone that was more recently discovered so has a less detailed understanding of what genes it regulates, compared to other plant hormones. First published in Brewer et al 2016, PNAS We used microarrays to determine transcriptional responses in strigolactone mutants and in wild-type plants with various physiological treatment which affect hormone levels over 24 hours.
Project description:Epigenetic variation can impact gene transcription and may play roles in phenotypic diversity and adaptation. Here we report 1,107 high quality single-base resolution methylomes, and 1,210 transcriptomes from the 1001 Arabidopsis Genomes population. Analyses reveal strong effects of geographic origin on average DNA methylation levels, alterations of gene expression by epialleles and a highly complex genetic basis for DNA methylation. Physical genome maps for nine of the most diverse accessions revealed how transposable elements and other structural variations shaped the epigenome to allow rapid adaptation to environmental changes, with strong emphasis on disease resistance. Analysis of the cistromes and epicistromes in these accessions revealed a significant association between both methylation and nucleotide variation and the conservation of transcription factor binding sites. The Arabidopsis thaliana 1001 Epigenomes Project now provides a comprehensive resource to help further understand how epigenetic variation contributes to both molecular and phenotypes in natural populations of the most widely studied reference plant.
Project description:Transcriptional profiling of Arabidopsis thaliana 12-days old seedlings comparing Col-0 wild type with transgenic plants with altered expression of dual-targetting plastid/mitochondrial organellar RNA-polymerase RPOTmp. Transgenic plants used for experiment were: overexpressor plants obtained by transformation of Col-0 WT plants with genetic constructs created in [Tarasenko et al., 2016] contained catalytic part of RPOTmp enzyme with transit peptides of RPOTm (mitochondrial) and RPOTp (plastid) by agrobacterial transformation; plants with complementation of RPOTmp functions in mitochondria or chloroplasts obtained from transformation of GABI_286E07 rpotmp knockout-mutant plants with genetic constructs created in [Tarasenko et al., 2016]. Goal was to determine the effects of RPOTmp knockout/overexpression on global Arabidopsis thaliana gene expression.
Project description:deOliveiraDalMolin2010 - Genome-scale
metabolic network of Arabidopsis thaliana (AraGEM)
This model is described in the article:
AraGEM, a genome-scale
reconstruction of the primary metabolic network in
Arabidopsis.
de Oliveira Dal'Molin CG, Quek LE,
Palfreyman RW, Brumbley SM, Nielsen LK.
Plant Physiol. 2010 Feb; 152(2):
579-589
Abstract:
Genome-scale metabolic network models have been successfully
used to describe metabolism in a variety of microbial organisms
as well as specific mammalian cell types and organelles. This
systems-based framework enables the exploration of global
phenotypic effects of gene knockouts, gene insertion, and
up-regulation of gene expression. We have developed a
genome-scale metabolic network model (AraGEM) covering primary
metabolism for a compartmentalized plant cell based on the
Arabidopsis (Arabidopsis thaliana) genome. AraGEM is a
comprehensive literature-based, genome-scale metabolic
reconstruction that accounts for the functions of 1,419 unique
open reading frames, 1,748 metabolites, 5,253 gene-enzyme
reaction-association entries, and 1,567 unique reactions
compartmentalized into the cytoplasm, mitochondrion, plastid,
peroxisome, and vacuole. The curation process identified 75
essential reactions with respective enzyme associations not
assigned to any particular gene in the Kyoto Encyclopedia of
Genes and Genomes or AraCyc. With the addition of these
reactions, AraGEM describes a functional primary metabolism of
Arabidopsis. The reconstructed network was transformed into an
in silico metabolic flux model of plant metabolism and
validated through the simulation of plant metabolic functions
inferred from the literature. Using efficient resource
utilization as the optimality criterion, AraGEM predicted the
classical photorespiratory cycle as well as known key
differences between redox metabolism in photosynthetic and
nonphotosynthetic plant cells. AraGEM is a viable framework for
in silico functional analysis and can be used to derive new,
nontrivial hypotheses for exploring plant metabolism.
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Project description:Next generation sequencing was performed to identify genes changed in Arabidopsis thaliana upon Botrytis cinerea infection. The goal of the work is to find interesting genes involved in plant defense. The object is to reveal the molecular mechanism of plant defense.