Zea mays subsp. mays
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA587468 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Evaluation of genetic diversity across inbreds used by GEM project (WGS skim sequencing)
| PRJNA894503 | ENA
Project description:Profiling transcription levels across many parental inbreds from the maize nested association mapping population.
2013-01-30 | E-MTAB-4328 | biostudies-arrayexpress
Project description:Evaluation of genetic diversity across the inbreds used by G2F project using GBS
| PRJNA385022 | ENA
Project description:Evaluation of genetic diversity across the inbreds used by G2F project (WGS skim sequencing)
| PRJNA530187 | ENA
Project description:These RNA-seq samples represent ten different tissue types for the fifth version of the maize reference genome B73, sequenced by the NAM Consortium Group. These samples correspond to project ID PRJEB32225.
2020-01-09 | E-MTAB-8628 | biostudies-arrayexpress
Project description:Genome assemblies of corn inbreds used by the G2F project
| PRJEB59044 | ENA
Project description:Drought represents a major constraint on maize production worldwide. Understanding the genetic basis for natural variation in drought tolerance of maize may facilitate efforts to improve this trait in cultivated germplasm. Here, using a genome-wide association study, we show that a miniature inverted-repeat transposable element (MITE) inserted in the promoter of a NAC gene (ZmNAC111) is significantly associated with natural variation in maize drought tolerance. For maize RNA-seq analysis, pooled tissues from three, eight-day-old maize seedlings were collected from transgenic and wild-type plants, prior to or after 2-hour dehydration, to conduct the RNA-seq analysis.
2015-03-29 | E-MTAB-4246 | biostudies-arrayexpress
Project description:Zea mays subsp. mays Transcriptome or Gene expression Atlas.
2012-09-13 | E-MTAB-4342 | biostudies-arrayexpress
Project description:Maize is one of the most important crops in the world. With the exponentially increasing population and the need for ever increased food and feed production, an increased yield of maize grain (as well as rice, wheat and other grains) will be critical. Maize grain development is understood from the perspective of morphology, hormone responses, and storage reserve accumulation. This includes various studies on gene expression during embryo development and maturation but a global study of gene expression of the embryo has not been possible until recently. Transcriptome analysis is a powerful new tool that can be used to understand the genetic basis of embryo maturation. We undertook a transcriptomic analysis of normal maturing embryos at 15, 21 and 27 days after pollination (DAP), of one elite maize germplasm line that was utilized in crosses to transgenic plants. More than 19,000 genes were analyzed by this method and the challenge was to select subsets of genes that are vitally important to embryo development and maturation for the initial analysis. We describe the changes in expression for genes relating to primary metabolic pathways, DNA synthesis, late embryogenesis proteins and embryo storage proteins, shown through transcriptome analysis and confirmed levels of transcription for some genes in the transcriptome using qRT-PCR.
2012-11-29 | E-MTAB-4393 | biostudies-arrayexpress
Project description:Positional cloning in combination with phenotyping is a general approach to identify disease-resistance gene candidates in plants; however, it requires several time-consuming steps including population or fine mapping. Therefore, in the present study, we suggest a new combined strategy to improve the identification of disease-resistance gene candidates. Downy mildew (DM)-resistant maize was selected from five cultivars using a spreader row technique. Positional cloning and bioinformatics tools were used to identify the DM-resistance quantitative trait locus marker (bnlg1702) and 47 protein-coding gene annotations. Eventually, five DM-resistance gene candidates, including bZIP34, Bak1, and Ppr, were identified by quantitative reverse-transcription PCR (RT-PCR) without fine mapping of the bnlg1702 locus. The combined protocol with the spreader row technique, quantitative trait locus positional cloning, and quantitative RT-PCR was effective for identifying DM-resistance candidate genes. This cloning approach may be applied to other whole-genome-sequenced crops or resistance to other diseases.
| S-EPMC5315382 | biostudies-literature