Genome-wide analysis of DNA methylation in maize inbred lines
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ABSTRACT:
PROVIDER: PRJNA529106 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8786630_1.fastq.gz | Fastqsanger.gz | |||
| SRR8786630_2.fastq.gz | Fastqsanger.gz | |||
| SRR8786631_1.fastq.gz | Fastqsanger.gz | |||
| SRR8786631_2.fastq.gz | Fastqsanger.gz | |||
| SRR8786632_1.fastq.gz | Fastqsanger.gz |
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Project description:Analysis of whole genome bisulfite data for 3 maize inbred lines (B73, PH207, and W22) with data aligned to the corresponding genome for determination of methylation level (CG, CHG, and CHH) across 100bp windows of the maize genome.
2020-03-01 | GSE128859 | GEO
Project description:This SuperSeries is composed of the following subset Series:; GSE8174: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Seedling data; GSE8176: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Immature ear data; GSE8179: Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression - Embryo data Experiment Overall Design: Refer to individual Series
2008-06-17 | E-GEOD-8194 | biostudies-arrayexpress
Project description:RNA-seq for two maize inbred lines
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Project description:Resequencing of eight Polish maize inbred lines.
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Project description:Resequencing of three Polish maize inbred lines.
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Project description:High temperature is increasingly becoming one of the prominent environmental factors affecting the growth and development of maize (Zea mays L.). Therefore, it is critical to identify key genes and pathways related to heat stress (HS) tolerance in maize. Here, we identified a heat-resistant (Z58D) and heat-sensitive (AF171) maize inbred lines at seedling stage. Transcriptomic analysis identified 3,006 differentially expressed genes (DEGs) in AF171 and 4,273 DEGs in Z58D under HS treatments, respectively. Subsequently, GO enrichment analysis showed that shared upregulated genes in AF171 and Z58D involved in response to HS, protein folding, abiotic and temperature stimulus pathway. Moreover, the comparison between the two inbred lines under HS showed that response to heat and response to temperature stimulus significantly overrepresented for the 1,234 upregulated genes. Furthermore, commonly upregulated genes in Z58D and AF171 had higher expression level in Z58D than AF171. In addition, maize inbred CIMBL55 had been verified to be more tolerant than B73 and commonly upregulated genes had higher expression level in CIMBL55 than B73 under HS. The consistent results indicated that heat-resistant inbred lines may coordinate the remarkable expression of genes in order to recover from HS. Additionally, 35 DEGs were conserved among 5 inbred lines by a comparative transcriptomic analysis. Most of them were more pronounced in Z58D than AF171 at expression level. Those candidate genes may confer thermotolerance in maize.
2024-03-01 | GSE254852 | GEO
Project description:The phenomenon of heterosis describes the increased agronomic performance of heterozygous F1-plants compared to their homozygous parental inbred plants. Heterosis is already manifested during the early stages of root development in maize. The goal of this study was to identify non-additive gene expression in primary roots of maize hybrids compared to the average expression levels of their parental inbred lines. To achieve this goal a two step strategy was selected. First, a microarray preselection of non-additively expressed candidate genes was performed. Subsequently, gene expression levels in a subset of genes were determined via high throughput qRT-PCR experiments. Initial microarray experiments identified 1941 non-redundant genes which displayed non-additive gene expression in at least one of the twelve analyzed hybrids compared to the midparent value of their parental inbred lines. Comparison of these 1941 genes with non-additively expressed genes identified in maize shoot apical meristems via the same experimental procedure in the same genotypes revealed significantly less overlap than expected by pure chance supporting. This supports the notion of organ specific patterns of non-additively expressed genes. qRT-PCR analyses of 64 of the 1941 non-additively expressed genes in four different hybrids revealed that the majority of non-additively expressed genes were expressed between the high and low parent expression values and only a small fraction of genes was expressed below low or above high parent levels. Subsequently, 22 of the 64 genes that displayed non-additive expression in all four hybrids were analyzed in twelve hybrids that were generated from four inbred lines. Among those genes a superoxide dismutase 2 was expressed significantly above the midparent value in all twelve hybrids and might thus play a protective role in antioxidative defense in the primary root of maize hybrids. These findings are consistent with the hypothesis that global expression trends but also the consistent differential expression of key genes might be relevant during the organ-specific manifestation of heterosis. Keywords: Comparative genomic hybridization
2008-02-16 | GSE10539 | GEO
Project description:DNA methylation is a chromatin modification that is frequently associated with epigenetic regulation in plants and mammals. However, other genetic changes such as transposon insertions also can lead to changes in DNA methylation levels. Genome-wide profiles of DNA methylation levels for 20 maize inbreds were used to discover differentially methylated regions (DMRs). The methylation level for each of these DMRs was also assayed in 31 additional maize genotypes resulting in the discovery of 1,966 common DMRs and 1,754 rare DMRs. Analysis of recombinant inbred lines provides evidence that the majority of DMRs are heritable. A local association scan found that nearly half of the DMRs with common variation are significantly associated with SNPs found within or near the DMR. Many of the DMRs that are significantly associated with local genetic variation are found near transposable elements that may contribute to the DNA methylation variation. The analysis of gene expression in the same samples used for DNA methylation profiling identifies over 300 genes with expression patterns that are significantly associated with the DNA methylation variation among genotypes. Collectively, our results suggest that DNA methylation variation is influenced by genetic and epigenetic variation is often stably inherited and can influence expression level of genes in the population. Methylation profiles in seedling tissue of a panel of 51 maize inbred lines using a custom 2.1M or 1.4M feature NimbleGen array. Methylation profiles in seedling tissue of maize inbred lines, teosinte and recombinant inbred lines (RILs) derived from B73 and Mo17 using a custom 12x270K NimbleGen array. Inbred lines B73 and Mo17 each had 3 biological replicates, the other sample had 1 replicate.
2013-08-12 | E-GEOD-46949 | biostudies-arrayexpress
Project description:DNA methylation is a chromatin modification that contributes to epigenetic regulation of gene expression. The inheritance patterns and trans-generational stability of 962 differentially methylated regions (DMRs) were assessed in a panel of 71 near-isogenic lines (NILs) derived from maize (Zea mays) inbred lines B73 and Mo17. The majority of DMRs exhibit inheritance patterns that would be expected for local (cis) inheritance of DNA methylation variation such that DNA methylation level was coupled to local genotype. There are few examples of DNA methylation that exhibit trans-acting control or paramutation-like patterns. The cis-controlled DMRs provided an opportunity to study the stability of inheritance for DNA methylation variation. There was very little evidence for alterations of DNA methylation levels at the cis-controlled DMRs during NIL population development. DNA methylation level was associated with local genotypes in all of the >30,000 examined cases except one. Additionally, the majority of the DMRs were not associated with small RNA. Together, our results suggest that a significant portion of DNA methylation variation in maize exhibits cis-controlled inheritance patterns, is highly stable and does not require active programming by small RNAs for maintenance. Methylation profiles in seedling tissue of maize near-isogenic lines (NILs) derived from B73 and Mo17 using a custom 12x270K NimbleGen array.
2014-04-01 | E-GEOD-51567 | biostudies-arrayexpress
Project description: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.
2010-08-21 | GSE17754 | GEO