Tissue specific expression data from maturing wheat seeds (20-50 DAA) of two genotypes
Ontology highlight
ABSTRACT:
ORGANISM(S): Triticum aestivum
PROVIDER: GSE83077 | GEO | 2017/09/01
SECONDARY ACCESSION(S): PRJNA324691
REPOSITORIES: GEO
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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. Experiment Overall Design: 39 genotypes of mapping population RL4452 x AC Domain with 2 biological replicates per genotype. Grown in the field in a lattice design
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Project description:Environmental stresses such as drought, salinity and both high and low temperature are frequently faced by crops all over the world and can be considered major limiting factors for plant geographical distribution and productivity. Breeding has allowed creation of crops more adapted to some of the adverse environmental conditions and to overcome the geographical limitation without major consequences to productivity. However, due to the climate changes observed in the last few decades, some agricultural areas have experienced the âgreen seed problemâ characterized by chlorophyll retention in mature seeds. This is problematic in oil seed crops such as soybean and canola since it is related to lower seed and oil quality, resulting in serious financial losses. Besides the environmental factors, there are also genetic components controlling the susceptibility of different cultivars to green seed production. Understanding the molecular mechanisms controlling chlorophyll retention in seeds is crucial to allow advanced molecular breeding techniques and genetic engineering as a way to increase tolerance to this growing problem. We have used maturing soybean seeds of the cultivar MG/BR 46, harvested in R6, R7 and R8, produced under non-stressed and stressed environmental conditions, to understand he molecular basis of chlorophyll degradation and, consequently, its retention during soybean seed maturation. Soybean seeds were produced under stressed and non-stressed conditions and harvested in 3 different stages of maturation: R6 non-stressed, R7 non-stressed, R8 non-stressed, R6 stressed, R7 stressed, R8 stressed.
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