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ABSTRACT:
PROVIDER: PRJNA437475 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To identify peanut Aspergillus-interactive and Aspergillus-resistance genes, we carried out a large scale peanut Expressed Sequence Tag (EST) project followed by a peanut microarray study. For expression profiling, resistant and susceptible peanut cultivars were infected with a mixture of Aspergillus flavus and parasiticus spores. Microarray analysis identified 65 and 1 genes in resistant (C20) and susceptible (TF) cultivars, respectively, that were up-regulated in response to Aspergillus infection. In addition we identified 40 putative Aspergillus-resistance genes that were constitutively up-expressed in the resistant cultivar in comparison to the susceptible cultivar. Some of these genes were homologous to peanut, corn, and soybean genes previously shown to confer resistance to fungal infection. These results provide a comprehensive genome-scale platform for future studies focused on developing Aspergillus-resistant peanut cultivars through conventional breeding, marker-assisted breeding, or biotechnological methods by gene manipulation. Four samples were analyzed with four hybs. Two samples were obtained from resistant (C20) and and susceptible (TF) cultivars. Two factors were varied in the experimental design: (i) peanut cultivars (resistant (GT-C20) and susceptible (TF)) and (ii) Aspergillus exposure. A combination of these factors produced four hybridizations as follows: (1) C20Y vs. TFY (GT-C20 infected vs. TF infected) (2) C20Y vs. C20N (GT-C20 infected vs. not infected) (3) TFY vs. TFN (TF infected vs. not infected) (4) C20N vs. TFN (GT-C20 not infected vs. TF not infected)
2011-07-31 | E-GEOD-27612 | biostudies-arrayexpress
Project description:To assess plasticity in genetic regulation of gene expression in Arabidopsis thaliana, genome wide gene expression variation was analyzed in a Ler/Cvi recombinant inbred line (RIL) population treated with low-light. The variation in expression could be explained for many genes by expression quantitative trait loci (eQTLs), which were compared to a previous genetical genomics study in the same untreated population. Please note Characteristics[StrainOrLine] is the population of 162 recombinant inbred lines between the accessions Ler x Cvi. Ler and Cvi are the names of the parental accessions.
2013-03-01 | E-MTAB-1357 | biostudies-arrayexpress
Project description:To assess the effect of ERECTA on gene expression in Arabidopsis, genome wide transcript abundance was measured in Landsberg erecta (Ler) compared to Landsberg. For the differentially expressed genes, genetic variation in gene expression in the Ler/Cvi recombinant inbred line (RIL) population, resulted in the construction of a putative genetic regulatory network downstream of ERECTA.
2010-01-20 | E-TABM-627 | biostudies-arrayexpress
Project description:In this study the F8 population of 100 Recombinant Inbred Lines (RILs) obtained from a cross between Solanum lycopersicum X Solanum pimpinellifolium were intelligently allocated to two sub-populations optimized for the distribution of parental alleles using the R-procedure DesignGG (Li et al., 2009; Joosen et al., 2013); hence 50 RIL lines were used for dry seeds and 50 lines for 6h imbibed seeds
2017-02-07 | ST000561 | MetabolomicsWorkbench
Project description:The aim of this study was to identify quantitative trait loci (QTL) associated with variation in circadian photosensitivity in Drosophila, by measuring the locomotor response to early night light pulse (Zt15). We used QTL mapping of recombinant inbred lines (RIL), which was followed by microarrays expression comparison of two RI lines which differed significantly in their light response (RIL 104 shows a strong long phase delay response while RIL 58 shows a weak light response).
2016-02-09 | GSE77116 | GEO
Project description:Seed expansion in peanut is a complex biological process involving many gene regulatory pathways. MicroRNAs (miRNAs) play important regulatory roles in plant growth and development, but little is known about their functions during seed expansion, or how they contribute to seed expansion in different peanut lines. We examined seed miRNA expression patterns at 15 and 35 days after flowering ( DAF ) in two peanut 8th generation recombinant inbred lines (RIL8); 8106, a medium-pod variety, and 8107, a super-pod variety. Using high-throughput sequencing, we identified 1082 miRNAs in developing peanut seeds including 434 novel miRNAs. We identified 316 differentially expressed miRNAs by comparing expression levels between the two peanut lines. Interestingly, 24 miRNAs showed contrasting patterns of expression in the two RILs, and 149 miRNAs were expressed predominantly in only one RIL at 35 DAF. Also, potential target genes for some conserved and novel miRNAs were identified by degradome sequencing; target genes were predicted to be involved in auxin mediated signaling pathways and cell division. We validated the expression patterns of some representative miRNAs and 12 target genes by qPCR, and found negative correlations between the expression level of miRNAs and their targets. miR156e, miR159b, miR160a, miR164a, miR166b, miR168a, miR171n, miR172c-5p, and miR319d and their corresponding target genes may play key roles in seed expansion in peanut. The results of our study also provide novel insights into the dynamic changes in miRNAs that occur during peanut seed development, and increase our understanding of miRNA function in seed expansion.
2021-01-31 | GSE110195 | GEO
Project description:Analyses of QTLs for expression levels (eQTLs) of the genes reveal genetic relationship between expression variation and the regulator, thus unlocking the information for identifying the regulatory network. In this study, we used Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice flag leaf at heading date from 210 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63. In the study, we attempted to construct the regulatory network by identifying putative regulators and the respective targets using an eQTL guided co-expression analysis with a recombinant inbred line population of rice. The ability to reveal the regulatory architecture of the genes at the whole genome level by constructing the regulatory network is critical for understanding the biological processes and developmental programs of the organism. Here we conducted an eQTL guided function-related co-expression analysis for identifying the putative regulators and constructing gene regulatory network. The Affymetrix Genechip rice Genome Array was used to investigate their dynamic transcript levels. one replicates were sampled from each RIL, three for parents, and three replicates for each parent resulting in a dataset of 216 microarrays.
2014-02-05 | E-GEOD-49020 | biostudies-arrayexpress
Project description:We conducted a timeseries experiment on a recombinant inbred line (RIL) panel of Caenorhabditis elegans derived from a NL5901 x SCH4856 cross. These RILs carry a human alpha-synuclein gene in an N2 and a CB4856 genetic background respectively. We grew synchronized populations of the nematodes (70 RILs, N2, CB4856, NL5901, and SCH4856) under normal conditions (20 degrees Celcius, feeding on Escherichia coli OP50) for 120 hours. The goal of the experiment was to identify loci affecting gene expression in the presence of human alpha-synuclein
2023-07-30 | E-MTAB-11658 | biostudies-arrayexpress
Project description:To assess natural variation in gene expression in Arabidopsis thaliana, genome wide gene expression variation was analyzed in a Ler/Cvi recombinant inbred line (RIL) population.The variation in expression could be explained for many genes by expression quantitative trait loci (eQTLs). These eQTLs are combined with regulator candidate gene selection to generate genetic regulatory networks.
2008-01-24 | E-TABM-214 | biostudies-arrayexpress
Project description:Analyses of QTLs for expression levels (eQTLs) of the genes reveal genetic relationship between expression variation and the regulator, thus unlocking the information for identifying the regulatory network. In this study, we used Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice flag leaf at heading date from 210 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63. In the study, we attempted to construct the regulatory network by identifying putative regulators and the respective targets using an eQTL guided co-expression analysis with a recombinant inbred line population of rice.
2014-02-05 | GSE49020 | GEO