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Title: Selection for improved energy efficiency and drought tolerance in canola results in distinct transcriptome and epigenome changes [ChIP-Seq]      
dateReleased:
06-28-2015
description:
Integrated breeding strategies are used to increase both the yield potential and stability of crops. Most of these approaches have a direct genetic basis. The utility of epigenetics in breeding to improve complex traits such as yield and stress tolerance is not clear. A better understanding of the status of the epigenome and its contribution to the agronomic performance would help in developing strategies to incorporate the epigenetic component of complex traits in breeding,Starting from isogenic canola lines, epilines were generated by selecting recursively during three generations for lines with a higher energy use efficiency and drought tolerance. These epilines were more energy use efficient, drought tolerant, high nitrogen use efficient, and higher yielding under suboptimal conditions. Moreover, these characteristics were transgenerational inheritable. Transcriptome comparison with a line selected for energy use efficiency only revealed common differentially expressed genes related to the onset of signaling events regulating stress tolerance. Genes related to salt, osmotic, abscisic acid and drought were specifically differentially expressed in the drought tolerant epilines. The status of the epigenome, scored as differential trimethylation of lysine 4 of histone 3, supports the energy use efficient and drought tolerant phenotype by facilitating transcription of the genes that are found to be differentially expressed.From these results it can be concluded that the epigenome can be shaped by selection to increase yield and stress tolerance. This acquired knowledge will support further development of strategies to incorporate epigenetics in breeding. To investigate the epigenetic effect on histone mark distribution of the EUE/PEG selection we performed ChIP-seq analyses. Native ChIP using an anti-H3K4me3 and no antibody (background control) was done on PEG1 and control plants.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-65571
refinement:
raw
alternateIdentifiers:
65571
keywords:
functional genomics
dateModified:
08-19-2015
availability:
available
types:
gene expression
name:
Brassica napus
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-65571/E-GEOD-65571.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-65571/E-GEOD-65571.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65571
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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