Zea mays
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1051805 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27223204_1.fastq.gz | Fastqsanger.gz | |||
| SRR27223204_2.fastq.gz | Fastqsanger.gz | |||
| SRR27223205_1.fastq.gz | Fastqsanger.gz | |||
| SRR27223205_2.fastq.gz | Fastqsanger.gz | |||
| SRR27223206_1.fastq.gz | Fastqsanger.gz |
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Project description:Maize kernel is an important source of food, feed and industrial raw materials. The illustration of the molecular mechanisms of maize kernel development will be helpful for the manipulation of maize improvements. Although a great many researches based on molecular biology and gecetics have greatly increased our understanding on the kernel development, many of the mechanisms controlling this important process remain elusive. In current study, a microarray with approximately 58,000 probes was used to study the dynamic gene expression during kernel development from the fertilization to physiological maturity. Samples from two consecutive time-points were paired and labeled using different fluorescent dyes (Cy3 and Cy5) and hybridized in the same array. Hybridization of slides was performed according to the manufacturer’s instructions (http://www.maizearray.org/). The hybridized slides were scanned by a Genepix 4000B (Axon, USA). A loop design was applied for running the microarray. Two replicates of each pair of samples were carried out to test both the reproducibility and quality of the chip hybridizations. By comparing six consecutive time-points, namely 1, 5, 10, 15, 25 and 35 days after pollination (DAP), 3,445 differentially expressed genes were identified. These genes were then grouped into 10 clusters showing specific expression patterns using a K-means clustering algorithm. An investigation of function and expression patterns of genes expanded our understanding of the regulation mechanism underlying the important developmental processes, cell division and kernel filling. The differential expression of genes involved in plant hormone signaling pathways suggested that phytohormone might play a critical role in the kernel developmental process. Moreover, regulation of some transcription factors and protein kinases might be involved in the whole developmental process. Keywords: Time course, development
2008-04-09 | GSE9386 | GEO
Project description:We explored the gene expression profiles of developing maize kernel by RNA sequencing. Our purpose was to explore the sequence diversity across the inbred lines, especially in the gene regions, and to discover the gene regulatory networks employed in immature maize kernels.
2013-12-10 | E-MTAB-4239 | biostudies-arrayexpress
Project description:The prolamin-box binding factor-1 (pbf1) gene encodes a transcription factor that controls the expression of seed storage protein (zein) genes in maize. Prior studies show that pbf1 underwent selection during maize domestication, although how it affected trait change during domestication is unknown. To assay how pbf1 affects phenotypic differences between maize and teosinte, we compared isogenic lines (NILs) that differ for a maize vs.and teosinte alleles of pbf1. Kernel weight for the teosinte NIL (162 mg) is slightly and significantly greater than that for the maize NIL (156 mg). RNAseq data for developing kernels show that the teosinte allele of pbf1 is expressed at about twice the level of the maize allele. However, RNA and protein assays showed no difference in zein profiles between the two NILs. The lower expression for the maize pbf1 allele suggests that selection may have favored this change, however, how reduced pbf1 expression alters phenotype remains unknown. One possibility is that pbf1 regulates genes other than zeins and thereby a domestication trait. The observed drop in seed weight associated with the maize allele of pbf1 is counterintuitive, but could represent a negative pleiotropic effect of selection on some other aspect of kernel composition.
2014-10-10 | E-MTAB-4208 | biostudies-arrayexpress
Project description:Maize kernel is an important source of food, feed and industrial raw materials. The illustration of the molecular mechanisms of maize kernel development will be helpful for the manipulation of maize improvements. Although a great many researches based on molecular biology and gecetics have greatly increased our understanding on the kernel development, many of the mechanisms controlling this important process remain elusive. In current study, a microarray with approximately 58,000 probes was used to study the dynamic gene expression during kernel development from the fertilization to physiological maturity. Samples from two consecutive time-points were paired and labeled using different fluorescent dyes (Cy3 and Cy5) and hybridized in the same array. Hybridization of slides was performed according to the manufacturer’s instructions (http://www.maizearray.org/). The hybridized slides were scanned by a Genepix 4000B (Axon, USA). A loop design was applied for running the microarray. Two replicates of each pair of samples were carried out to test both the reproducibility and quality of the chip hybridizations. By comparing six consecutive time-points, namely 1, 5, 10, 15, 25 and 35 days after pollination (DAP), 3,445 differentially expressed genes were identified. These genes were then grouped into 10 clusters showing specific expression patterns using a K-means clustering algorithm. An investigation of function and expression patterns of genes expanded our understanding of the regulation mechanism underlying the important developmental processes, cell division and kernel filling. The differential expression of genes involved in plant hormone signaling pathways suggested that phytohormone might play a critical role in the kernel developmental process. Moreover, regulation of some transcription factors and protein kinases might be involved in the whole developmental process. To obtain the global gene expression profile during maize kernel development, a microarray with approximately 58,000 probes was used. The maize inbred line X178 was planted on the field. Each plant was self-pollinated by hand. The ears were harvested from healthy plants at 1, 5, 10, 15, 25 and 35 days after pollination (DAP), respectively. In order to increase the consistency & uniformity of the isolated kernels, the upper half and about one sixth of ears from the bottom were cut and discarded, the kernels were isolated from the rest part of the ears. Samples at each time-point were collected from at least thirty ears and pooled to represent the line characteristics of X178. Two sub-samples for replication in the microarray analysis were randomly drawn. Samples from two consecutive time-points were paired and labeled using different fluorescent dyes (Cy3 and Cy5) and hybridized in the same array. A loop design was applied for running the microarray. Two replicates of each pair of samples were carried out to test both the reproducibility and quality of the chip hybridizations.
2008-04-09 | E-GEOD-9386 | biostudies-arrayexpress
Project description:Peroxidase (POD) activity was found to be positively correlated with insect resistance in maize kernels. Thus, we purified active PODs from (Zea mays, p84C3) kernels and subjected to LC-MS/MS analyses. To verify the identified putative plant PODs, we produced them by recombinant expression in E. coli. Whereas B4FFK9 did not display in vitro activity, B6T173 (ZmPrx35) was active and also exhibits a heme cofactor. B6T173 accounts for about 80% of the POD activity in the kernel, according to densitometric evaluation.
2015-08-21 | PXD002166 | Pride
Project description:Through hierarchical clustering of transcript abundance data across a diverse set of tissues and developmental stages in maize, we have identified a number of coexpression modules which describe the transcriptional circuits of maize development.
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2015-02-12 | E-MTAB-4432 | biostudies-arrayexpress
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Project description:Maize (Zea mays) is an excellent cereal model for research on seed development because of its relatively large size for both embryo and endosperm. Despite the importance of seed in agriculture, the genome-wide transcriptome pattern throughout seed development has not been well characterized. Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas of B73 maize seed development based on 53 samples from fertilization to maturity for embryo, endosperm, and whole seed tissues.
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