Ontology highlight
ABSTRACT:
PROVIDER: PRJNA760938 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15725100_1.fastq.gz | Fastqsanger.gz | |||
| SRR15725100_2.fastq.gz | Fastqsanger.gz | |||
| SRR15725200_1.fastq.gz | Fastqsanger.gz | |||
| SRR15725200_2.fastq.gz | Fastqsanger.gz | |||
| SRR15725101_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 404 |
Similar Datasets
Project description:The cultivated peanut, A. hypogaea L., is a critical oil and food crop worldwide. Decoding the genetic makeup behind natural variation in kernel oil and fatty acid concentrations is crucial for molecular breeding-based nutrient quantity and quality manipulation. Herein, we recognized 87 quantitative trait loci (QTLs) in 45 genomic regions for the concentrations of oil, oleic acid, and linoleic acid, as well as the oleic acid to linoleic acid (O/L) ratio via a genome-wide association study (GWAS) involving 499 peanut accessions. Eight QTLs clarified over 15% of the phenotypic variation in peanut accessions. Among the 45 potential genes significantly related to the 4 traits, only three genes displayed annotation to the fatty acid pathway. Furthermore, on the basis of pleiotropism or linkage data belonging to the identified singular QTLs, we generated a trait-locus axis to better elucidate the genetic background behind the observed oil and fatty acid concentration association. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in A. hypogaea L., facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs This natural population consisting of 499 peanut accessions combined with high-density SNPs will provide a better choice for identifying peanut QTLs/genes in the future. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in peanut, facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs.
2025-05-05 | GSE289195 | GEO
Project description:In this study, we used RNA-seq to obtain and compare transcriptomic profiles of a resistant genotype J11 in pre-harvest seeds, with A. flavus inoculation at the whole-genome level. The TMT method was also implemented to help further understand the molecular mechanism of peanut resistance to A. flavus invasion at proteome level. Meanwhile, we conducted a thorough research on a chitinase and a NBS-LRR gene, which were found in our data. This study is our first step towards a comprehensive genome-scale platform for developing Aspergillus resistant peanut cultivars through genetic engineering.
2020-08-17 | GSE102782 | GEO
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.
2011-08-01 | GSE27612 | GEO
Project description:Construction of high density genetic map and QTL mapping
| PRJNA714434 | ENA
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:Construction of High Density Genetic Map of Peanut(Arachis hypogaea L.) Raw sequence reads
| PRJNA517739 | ENA