Dataset Information

Lactuca sativa cultivar:Cheongchima, Arabidopsis thaliana (Col-0)

ABSTRACT: Targeted A-to-G base editing of cellular organelle DNA in plants

PROVIDER: PRJNA858174 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	SRR20115301_1.fastq.gz	Fastqsanger.gz
	SRR20115301_2.fastq.gz	Fastqsanger.gz
	SRR20115302_1.fastq.gz	Fastqsanger.gz
	SRR20115302_2.fastq.gz	Fastqsanger.gz
	SRR20115303_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 66

Similar Datasets

Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Experimenter name = Dina St. Clair Experimenter phone = (530) 752-1740 Experimenter department = Department of Plant Sciences Experimenter institute = UC Davis Experimenter address = UC Davis Campus Experimenter address = 114 Amundson Hall Experimenter address = Davis, California Experimenter zip/postal_code = CA Experimenter country = USA Keywords: strain_or_line; compound_treatment; time_series

Dataset Information

Lactuca sativa cultivar:Cheongchima, Arabidopsis thaliana (Col-0)

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets