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Identification of WRKY22 direct targets under submergence in Arabidopsis with ChIP

Identification of WRKY22 direct targets under submergence in Arabidopsis with ChIP

Abstract

To identify direct targets of WRKY22, we created a transgenic Arabidopsis line that expresses a c-myc epitope-tagged WRKY22 and used ChIP followed by microarray hybridization (ChIP-chip) to screen for candidates and validate the in vivo protein-DNA interactions with ChIP followed by quantitative PCR (ChIP-Q-PCR). The WRKY22 and c-myc epitope tag fusion construct was generated and transformed into wrky22-ko2 plants. The resulting transgenic lines should have better ChIP efficiency than the wild-type background, due to the reduced competition for WRKY22 binding sites from endogenous WRKY22. ChIP-enriched DNA fragments were identified using criteria of a window of +300 to -1200 of a gene for a promoter, a width of 4 probes or more, and a false discovery rate (FDR) 2 or < 0.5-fold induction in any time point under submergence treatments in expression array data. Comparison of c-myc tagged WRKY22 transgenic plants vs wild-type (Columbia) plants. Both materials were submergence treated for 3 hours.

Keywords

Transcriptomics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average