Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcriptome analysis of 103 RILs of a B73 x H99 RIL population


ABSTRACT: The RIL population used in this study is derived from a cross between parental lines B73 and H99, followed by 12 generations of self-pollination. In total 142 RILs were generated and 223 markers were used for mapping these RILs (Marino et al. (2009) Mol Genet Genomics, 281:163-179). The transcriptome of a randomly chosen subset of 103 RILs was analyzed in this study using RNA-seq.

INSTRUMENT(S): Illumina HiSeq 2000

ORGANISM(S): Zea mays

SUBMITTER: Plant Systems Biology data submission 

PROVIDER: E-MTAB-3758 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population.

Baute Joke J   Herman Dorota D   Coppens Frederik F   De Block Jolien J   Slabbinck Bram B   Dell'Acqua Matteo M   Pè Mario Enrico ME   Maere Steven S   Nelissen Hilde H   Inzé Dirk D  

Genome biology 20150911


<h4>Background</h4>To sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal. Although several approaches to identify genes and networks involved in final organ size have been proven successful, our understanding remains fragmentary.<h4>Results</h4>Here, we assessed variation in 103 lines of the Zea mays B73xH99 RIL population for a set of final leaf size and whole shoot traits at the seedling stage, complem  ...[more]

Similar Datasets

2016-02-02 | E-MTAB-3965 | biostudies-arrayexpress
2015-06-29 | E-MTAB-3173 | biostudies-arrayexpress
2017-12-14 | E-MTAB-4508 | biostudies-arrayexpress
2015-12-21 | E-GEOD-60691 | biostudies-arrayexpress
2017-12-14 | E-MTAB-4262 | biostudies-arrayexpress
2014-03-20 | E-GEOD-51975 | biostudies-arrayexpress
2015-03-25 | E-MTAB-2925 | biostudies-arrayexpress
2013-01-30 | E-MTAB-4227 | biostudies-arrayexpress
| PRJEB9918 | ENA
2020-01-09 | E-MTAB-6109 | biostudies-arrayexpress