FV2 maize genomic sequences
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB13732 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1407240.fastq.gz | Fastqsanger.gz | |||
| ERR1407250.fastq.gz | Fastqsanger.gz | |||
| ERR1407260_1.fastq.gz | Fastqsanger.gz | |||
| ERR1407260_2.fastq.gz | Fastqsanger.gz | |||
| ERR1407270.fastq.gz | Fastqsanger.gz |
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Project description:Expression profiling analyses for eight maize inbreds reveals extensive transcriptional variation. Many genes exhibit presence-absence variation among the inbred lines. Keywords: Genotype comparison series
2008-01-26 | GSE10237 | GEO
Project description:Expression profiling analyses for eight maize inbreds reveals extensive transcriptional variation. Many genes exhibit presence-absence variation among the inbred lines. Experiment Overall Design: Affymetrix expression profiling was used to study gene expression in aerial tissue from 11-day seedlings of maize. Three biological replicates were performed for eight different inbred lines; B37, B73, B84, Mo17, Oh43, B14a, Wf9 and W22.
2008-06-11 | E-GEOD-10237 | biostudies-arrayexpress
Project description:We demonstrated the manifestation of heterosis in hybrid maize embryo and endosperm tissue six days after fertilization in crosses of several inbred lines. Here we analyzed heterosis-associated gene expression pattern in these tissues of reciprocal crosses of two european maize inbred line combinations. Differences in gene expression were analyzed with custom microarrays by a combined approach of suppression subtractive hybridization and microarray hybridizations
2009-08-28 | GSE17821 | GEO
Project description:BACKGROUND: Climate change will lead in the future to an occurrence of heat waves with a higher frequency and duration than observed today, which has the potential to cause severe damage to seedlings of temperate maize genotypes. In this study, we aimed to (I) assess phenotypic variation for heat tolerance of temperate European Flint and Dent maize inbred lines, (II) investigate the transcriptomic response of temperate maize to linearly increasing heat levels and, (III) identify genes associated with heat tolerance in a set of genotypes with contrasting heat tolerance behaviour. RESULTS: Strong phenotypic differences with respect to heat tolerance were observed between the examined maize inbred lines on a multi-trait level. We identified 607 heat responsive genes as well as 39 heat tolerance genes. CONCLUSION: Our findings indicate that individual inbred lines developed different genetic mechanisms in response to heat stress. We applied a novel statistical approach enabling the integration of multiple genotypes and stress levels in the analysis of abiotic stress expression studies.
2016-10-20 | GSE88917 | GEO
Project description:Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas for seed development of eight maize inbred lines based on 144 samples from the middle to late stages of grain development. A total of 26,747 genes with FPKM value more than 1 at least one sample were found to be involved in programming grain development. Global comparisons of genes expression highlighted the fundamental transcriptomic reprogramming and the phases of development. Coexpression analysis provided further insight into the dynamic reprogramming of the transcriptome by revealing functional transitions during maturation. Combined with grain moisture content and grain dehydration rate of different developmental time points of eight maize inbred lines, we captured a large number of genes related to grain moisture content and grain dehydration rate, which should help elucidate key mechanisms and regulatory networks that underlie grain dehydration during maize grain development. These results provide a comprehensive understanding of which biological processes are involved in the regulation of moisture variety of maize grain, the general principles of which provide a new perspective on improving maize grain dehydration characteristics. Meanwhile, this study provides a valuable resource for understanding the genetic regulation of maize grain development.
2022-10-01 | GSE158816 | GEO
Project description:The data set submitted here contains the raw SNP genotyping data obtained from the analysis of 24 biparental segregating maize (Zea mays L.) populations and their respective parents. The processed and filtered data were used to construct genetic linkage maps which we used in our study of variation of recombination rate in maize. In sexually reproducing organisms, meiotic crossovers ensure the proper segregation of chromosomes and contribute to genetic diversity by shuffling allelic combinations. Such genetic reassortment is exploited in breeding to combine favorable alleles, and in genetic research to identify genetic factors underlying traits of interest via linkage or association-based approaches. Crossover numbers and distributions along chromosomes vary between species, but little is known about their intraspecies variation. In our study, we report on the variation of recombination rates between 22 European maize inbred lines that belong to the Dent and Flint gene pools. We genotyped 23 doubled-haploid populations derived from crosses between these lines with a 50k-SNP array and constructed high-density genetic maps, showing good correspondence with the maize B73 genome sequence assembly. By aligning each genetic map to the B73 sequence, we obtained the recombination rates along chromosomes specific to each population. We identified significant differences in recombination rates at the genome-wide, chromosome, and intrachromosomal levels between populations, as well as significant variation for genome-wide recombination rates among maize lines. Crossover interference analysis using a two-pathway modeling framework revealed a negative association between recombination rate and interference strength. To our knowledge, the present work provides the most comprehensive study on intraspecific variation of recombination rates and crossover interference strength in eukaryotes. Differences found in recombination rates will allow for selection of high or low recombining lines in crossing programs. Our methodology should pave the way for precise identification of genes controlling recombination rates in maize and other organisms.
2013-09-05 | GSE50558 | GEO
Project description:Methylation of chromosomal DNA in animals and plants is a fundamental mechanism of epigenetic regulation, and the maize genome, with its diverse complement of transposons and repeats, is a paradigm for transgenerational mechanisms such as paramutation and imprinting. We have determined the genome-wide cytosine methylation map of two maize inbred lines, B73 and Mo17, at high coverage and at single nucleotide resolution. Transposon methylation is highest in CG (65%) and CHG (50%) contexts (where H = A, C or T), while methylation in CHH (5%) contexts is guided by 24nt small interfering RNA (siRNA), and not by 21-22nt siRNA. We have found that CG (8%) methylation seems to deter insertion of Mutator transposons into exons, while CHH and CHG methylation at splice donor and acceptor sites strongly inhibits RNA splicing. Methylation differences between parents are inherited in recombinant inbred lines, but methylation switches, guided by siRNA, are widespread and persist for up to 8 generations. These differences influence splicing, and recurrent switching suggest that paramutation is much more common than previously supposed, and may contribute to heterosis. Our results provide a comprehensive high resolution resource for maize genome methylation, as well as a map of recurrent transgenerational epigenetic shifts (paramutation) in the two most commonly used inbred maize lines.
2013-06-03 | GSE39232 | GEO
Project description:RNA-seq from whole V3 maize seedlings (roots and shoots) for the B73 inbred line and A188 x B73 hybrid.
2022-01-27 | GSE175914 | 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
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