Transcriptomics

Dataset Information

0

Genome-wide analysis of gene expression profiles of 21 European maize (Zea mays L.) inbred lines.


ABSTRACT: In the current study a microarray (46k, University of Arizona, USA) analysis of 21 European maize (Zea mays L.) parental inbred lines (14 dent and 7 flint) was applied. The aim was the identification of parental genes which expression levels are correlated to heterosis and/or hybrid performance for grain yield (GY) and grain dry matter content (GDMC) in the hybrid progeny (F1). Therefore gene expression profiles of differentially expressed genes of the parental inbred lines at the seedling stage were correlated with GY- and GDMC-field data of 98 flint x dent factorial crosses gained at six different locations in Germany. The identification of heterosis-correlated genes is an approach for the characterization and also for the prediction of this phenomenon. For the analyses total RNA of seven days old seedlings was extracted and aminoallyl-labeled RNA probes were synthesized. RNA labeling (Cy3, Cy5) and hybridizations were performed according to the protocol of the maize oligonucleotide array project (http://www.maizearray.org). The microarrays were scanned (AppliedPrecision ArrayWorx Scanner, Applied Precision Inc., USA) and data were evaluated using the Software GenePix Pro 4.0 (Molecular Devices, Sunnyvale, USA). An experimental interwoven loop design was developed aiming to yield in a preferably low average variance among the hybridizations, especially between intergroup (dent lines vs. flint lines) hybridizations. As a result 12288 (28.3%) of the genes showed differential expression between any combination of inbred lines. These differentially expressed genes were used for subsequent field data correlation analyses.

ORGANISM(S): Zea mays

PROVIDER: GSE17754 | GEO | 2010/08/21

SECONDARY ACCESSION(S): PRJNA118397

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-08-18 | GSE85284 | GEO
2014-04-03 | GSE52411 | GEO
2014-04-03 | E-GEOD-52411 | biostudies-arrayexpress
2016-08-18 | GSE85288 | GEO
2016-08-18 | GSE85287 | GEO
2016-08-18 | GSE85286 | GEO
2016-08-18 | GSE85283 | GEO
2016-08-18 | GSE85285 | GEO
2018-09-12 | GSE119550 | GEO
2016-12-01 | GSE88993 | GEO