Ontology highlight
ABSTRACT:
PROVIDER: PRJNA752694 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15365285_1.fastq.gz | Fastqsanger.gz | |||
| SRR15365285_2.fastq.gz | Fastqsanger.gz | |||
| SRR15365286_1.fastq.gz | Fastqsanger.gz | |||
| SRR15365286_2.fastq.gz | Fastqsanger.gz | |||
| SRR15365287_1.fastq.gz | Fastqsanger.gz |
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Project description:Evaluation of transcripts from soybean seed tissue during seed fill for a pair of near-isogenic lines contrasting in seed protein and oil and carrying an introgression at the linkage group I protein QTL region. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Yung-Tsi Bolon. The equivalent experiment is GM11 at PLEXdb.]
2011-11-22 | GSE33408 | GEO
Project description:Seed quality traits of oilseed rape, Brassica napus (B. napus), exhibit quantitative inheritance determined by its genetic makeup and the environment via the mediation of a complex genetic architecture of hundreds to thousands of genes. Thus, instead of single gene analysis, network-based systems genomics and genetics approaches that combine genotype, phenotype, and molecular phenotypes offer a promising alternative to uncover this complex genetic architecture. In the current study, systems genetics approaches were used to explore the genetic regulation of lignin traits in B. napus seeds. Four QTL (qLignin_A09_1, qLignin_A09_2, qLignin_A09_3, and qLignin_C08) distributed on two chromosomes were identified for lignin content. The qLignin_A09_2 and qLignin_C08 loci were homologous QTL from the A and C subgenomes, respectively. Genome-wide gene regulatory network analysis identified eighty-three subnetworks (or modules); and three modules with 910 genes in total, were associated with lignin content, which was confirmed by network QTL analysis. eQTL (expression quantitative trait loci) analysis revealed four cis-eQTL genes including lignin and flavonoid pathway genes, cinnamoyl-CoA-reductase (CCR1), and TRANSPARENT TESTA genes TT4, TT6, TT8, as causal genes. The findings validated the power of systems genetics to identify causal regulatory networks and genes underlying complex traits. Moreover, this information may enable the research community to explore new breeding strategies, such as network selection or gene engineering, to rewire networks to develop climate resilience crops with better seed quality.
2024-06-04 | GSE268725 | GEO
Project description:We prepared QTL map of tuber starch content in potato diploid population. Then, we examined expression level of enzyme ADP-glucose pyrophosphorylase (AGPase) taking part in starch biosynthesis (marker AGPaseS-a). Based on starch content and AGPaseS-a expression, we constructed four bulks prepared from RNA isolated from tubers of F1 individuals H1 and H2 consisted of high TSC genotypes, bulks L1 and L2 were made of low TSC genotypes. Plants in bulks H1 and L1 strongly expressed AGPaseS-a, whereas those in bulks H2 and L2 exhibited low levels. Then we used RNA-seq technology for selection of genes displaying differential expression between RNA pools. For selected candidate genes we mapped expression QTL (e-QTL) and found eQTL of eAGPaseS-a and ePGRCRURSE5, were close to the corresponding loci of (AGPaseS-a) and the 12S globulin cruciferin gene (PGCRURSE5). We concluded that the cruciferin gene PGRCRURSE5 is a novel candidate involved in the regulation of starch content in potato tubers and suggests that cruciferin may be a novel PTST protein in potato tubers.
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Project description:Staple crops in human and livestock diets suffer from deficiencies in certain “essential” amino acids including methionine. With the goal of increasing methionine in rice seed, we generated a pair of “PushxPull” double transgenic lines, each containing a methionine-dense seed storage protein (2S albumin from sunflower, HaSSA) and an exogenous enzyme for either methionine (feedback desensitized cystathionine gamma synthase from Arabidopsis, AtD-CGS) or cysteine (serine acetyltransferase from E. coli, EcSAT) biosynthesis. In both double transgenic lines, the total seed methionine content was approximately 50% higher than in their untransformed parental line, Oryza sativa ssp. japonica cv. Taipei 309. HaSSA-containing rice seeds were reported to display an altered seed protein profile, speculatively due to insufficient sulfur amino acid content. However, here we present data suggesting that this may result from an overloaded protein folding machinery in the endoplasmic reticulum rather than primarily from redistribution of limited methionine from endogenous seed proteins to HaSSA. We hypothesize that HaSSA-associated endoplasmic reticulum stress results in redox perturbations that negatively impact sulfate reduction to cysteine, and we speculate that this is mitigated by EcSAT-associated increased sulfur import into the seed, which facilitates additional synthesis of cysteine and glutathione. The data presented here reveal challenges associated with increasing the methionine content in rice seed, including what may be relatively low protein folding capacity in the endoplasmic reticulum and an insufficient pool of sulfate available for additional cysteine and methionine synthesis. We propose that future approaches to further improve the methionine content in rice should focus on increasing seed sulfur loading and avoiding the accumulation of unfolded proteins in the endoplasmic reticulum.
2020-06-30 | GSE149252 | GEO
Project description:Two soybean near-isogenic lines (NILs) differing in seed protein content were genotyped to determine differential genetic introgressions from the wild relative Glycine soja. The CGH comparison reveals loci that are differentially introgressed between the two lines.
2013-02-28 | GSE44725 | GEO
Project description:Evaluation of transcripts from soybean seed tissue during seed fill for a pair of near-isogenic lines contrasting in seed protein and oil and carrying an introgression at the linkage group I protein QTL region. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Yung-Tsi Bolon. The equivalent experiment is GM11 at PLEXdb.] genotype: LoProt - time: 25-50(3-replications); genotype: LoProt - time: >50-100(3-replications); genotype: LoProt - time: >100-200(3-replications); genotype: LoProt - time: >200-300(3-replications); genotype: HiProt - time: 25-50(3-replications); genotype: HiProt - time: >50-100(3-replications); genotype: HiProt - time: >100-200(3-replications); genotype: HiProt - time: >200-300(3-replications)
2011-11-22 | E-GEOD-33408 | biostudies-arrayexpress
Project description:Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.
2015-04-29 | GSE21598 | GEO
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Keywords: genetic differences, expression QTL
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