Dataset Information

Genes regulated by GRF1 and GRF3 in Arabidopsis roots

ABSTRACT: Arabidopsis Affymetrix ATH1 GeneChips were used to compare the mRNA profiles of root tissues of the grf1/grf2/grf3 triple mutant and transgenic plants overexpressing miR396-resistant variants of GRF1 (P35S:rGRF1) or GRF3 (P35S:rGRF3) with those of the corresponding wild-type (Col-0 or WS). Wild-type (Arabidopsis thaliana ecotypes Col-0 and Ws), the triple mutant grf1/grf2/grf3, and transgenic plants overexpressing rGRF1 or rGRF3 were grown in vertical culture dishes on modified Knop’s medium for 2 weeks and then root tissues were collected for RNA extraction. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Tarek Hewezi. The equivalent experiment is AT109 at PLEXdb.]

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE31593 | GEO | 2012/03/13

SECONDARY ACCESSION(S): PRJNA145565

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Skewing root patterns provide key insights into root growth strategies and mechanism that produce root architectures Roots exhibit skewing and waving when grown on a tilted, impenetrable surface, and while the genetics guiding these morphologies have been examined, the underlying molecular mechanisms of skewing and waving remain unclear. In this study, transcriptome data were derived from two Arabidopsis ecotypes, WS and Col-0, under three tilted growth conditions in order to identify candidate genes involved in skewing. WS is a skewing ecotype. Col-0 is a non-skewing ecotype. Results: This work identifies a number of genes that are likely involved in skewing, using growth conditions that differentially affect skewing and waving. Comparing the gene expression profiles of WS and Col-0 in different tilted growth conditions identified 11 candidate genes as potentially involved in the control of skewing. These 11 genes are involved in several different cellular processes, including sugar transport, salt signaling, cell wall organization, and hormone signaling. Conclusions: Many of the 11 identified genes are involved in signaling and perception, rather than the physical restructuring of roots, leading to the conclusion that root skewing is enabled through diverse environmental signaling pathways. These findings revealed further insights into the molecular mechanisms behind root skewing. This work investigated the transcriptional differences between skewing and non-skewing roots. Comparisons within WS revealed gees that that responded to the angle of growth (Agp) during the process of skewing. These genes were cross referenced with transcripts differing between the WS and Col-0 genotypes to refine the list of genes that are most probably be involved in root skewing. More of the highly probable skew gene candidates (HPSGC) are associated with environmental sensing (e.g. salt, sugar, hormones, darkness) than with physical growth differences (e.g. cell wall remodeling, cell division, cell elongation). Thus, the root behavior of skewing appears to be primarily driven by pathways that respond to disparate signals from the root local environment. Future studies could investigate the HPSGC to find the specific pathways and molecular mechanisms contributing to root skewing.

Dataset Information

Genes regulated by GRF1 and GRF3 in Arabidopsis roots

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets