Identification of differentially expressed genes between developing seeds of different soybean cultivars
Ontology highlight
ABSTRACT:
ORGANISM(S): Glycine max
PROVIDER: GSE21598 | GEO | 2015/04/29
SECONDARY ACCESSION(S): PRJNA127135
REPOSITORIES: GEO
Similar Datasets
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. The soybean plants of two soybean varieties Minsoy and Archer and two recombinant inbred lines from the cross that are similar in maturity but differ in yield were grown in St Paul, Minnesota during the summers of 2007 and 2008. In 2007, each line was planted as a single row. In 2008, a randomized complete block (RCB) design was used and each line had 3 replicates planted 1-2 weeks apart. Within each replicate, two rows per line were planted. Seeds were harvested at three developmental stages, namely, seed length = 2 mm, 3.5 mm, and 5-6 mm, which correspond approximately to soybean reproductive stages R4, R5 and early R6, respectively. In 2007 three independent samples were collected for each line and developmental stage. In 2008, two seed samples (one from each row) were collected for each line at each stage within each replicate. The pairs of seed samples were then pooled. Thus, three sets of independent tissue samples were collected for RNA extraction and hybridization on Affymetrix microarrys.
2015-04-29 | E-GEOD-21598 | biostudies-arrayexpress
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 “green seed problem” 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.
2016-01-21 | GSE70999 | GEO
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.
2016-01-21 | E-GEOD-70999 | biostudies-arrayexpress
Project description:Genetic/genome diversity underlying variation in seed oil composition and content among soybean varieties is largely attributed to differences in transcript sequences and/or transcript accumulation of oil production related genes in seeds. Discovery and analysis of sequence and expression variations in these genes will accelerate soybean oil quality improvement. In an effort to identify these variations, we sequenced the transcriptomes of soybean seeds from nine lines varying in oil composition and/or total oil content. Our results showed that 69,338 distinct transcripts from 32,885 annotated genes were expressed in seeds. A total of 8,037 transcript expression polymorphisms and 50,485 transcript sequence polymorphisms (48,792 SNPs and 1,693 small Indels) were identified among the lines. Effects of the transcript polymorphisms on their encoded protein sequences and functions were predicted. The studies also provided independent evidence that the lack of FAD2-1A gene activity and a non-synonymous SNP in the coding sequence of FAB2C caused elevated oleic acid and stearic acid levels in soybean lines M23 and FAM94-41, respectively. As a proof-of-concept, we developed an integrated RNA-seq and bioinformatics approach to identify and functionally annotate transcript polymorphisms, and demonstrated its high effectiveness for discovery of genetic and transcript variations that result in altered oil quality traits. The collection of transcript polymorphisms coupled with their predicted functional effects will be a valuable asset for further discovery of genes, gene variants, and functional markers to improve soybean oil quality.
2016-01-13 | GSE56297 | GEO
Project description:Genetic/genome diversity underlying variation in seed oil composition and content among soybean varieties is largely attributed to differences in transcript sequences and/or transcript accumulation of oil production related genes in seeds. Discovery and analysis of sequence and expression variations in these genes will accelerate soybean oil quality improvement. In an effort to identify these variations, we sequenced the transcriptomes of soybean seeds from nine lines varying in oil composition and/or total oil content. Our results showed that 69,338 distinct transcripts from 32,885 annotated genes were expressed in seeds. A total of 8,037 transcript expression polymorphisms and 50,485 transcript sequence polymorphisms (48,792 SNPs and 1,693 small Indels) were identified among the lines. Effects of the transcript polymorphisms on their encoded protein sequences and functions were predicted. The studies also provided independent evidence that the lack of FAD2-1A gene activity and a non-synonymous SNP in the coding sequence of FAB2C caused elevated oleic acid and stearic acid levels in soybean lines M23 and FAM94-41, respectively. As a proof-of-concept, we developed an integrated RNA-seq and bioinformatics approach to identify and functionally annotate transcript polymorphisms, and demonstrated its high effectiveness for discovery of genetic and transcript variations that result in altered oil quality traits. The collection of transcript polymorphisms coupled with their predicted functional effects will be a valuable asset for further discovery of genes, gene variants, and functional markers to improve soybean oil quality. transcriptome comparison of nine different soybean varieties
2016-01-13 | E-GEOD-56297 | biostudies-arrayexpress
Project description:This data is part of a study examining the results of increased malic enzyme activity in soybean seeds. The study characterizes changes to oil content and free amino acids when malic enzyme is expressed in different subcellular locations. Malic enzyme was expressed using seed-specific promoters to target activity to the seeds and was also designed to localize into and outside of the chloroplast.
2023-03-22 | PXD039994 | Pride
Project description:We investigated soybean seed development because (1) soybean seeds are a major source of food and fuel, (2) soybean seeds have been an excellent system for studying the basic processes controlling seed development for over three decades, and (3) new soybean genomic resources, including the sequence of the soybean genome and the gene expression profiles for all seed compartments, tissues, and cell types, can be used to gain new insights into the regulatory processes required for seed differentiation. We sequenced messenger RNA populations of specific soybean seed compartments, which will provide new insights into gene expression that are important for “making a soybean seed.”
2017-07-12 | GSE99109 | GEO
Project description:We investigated soybean seed development because (1) soybean seeds are a major source of food and fuel, (2) soybean seeds have been an excellent system for studying the basic processes controlling seed development for over three decades, and (3) new soybean genomic resources, including the sequence of the soybean genome and the gene expression profiles for all seed compartments, tissues, and cell types, can be used to gain new insights into the regulatory processes required for seed differentiation. We sequenced messenger RNA populations of specific soybean seed compartments, which will provide new insights into gene expression that are important for “making a soybean seed.”
2014-05-14 | GSE57606 | GEO
Project description:We investigated soybean seed development because (1) soybean seeds are a major source of food and fuel, (2) soybean seeds have been an excellent system for studying the basic processes controlling seed development for over three decades, and (3) new soybean genomic resources, including the sequence of the soybean genome and the gene expression profiles for all seed compartments, tissues, and cell types, can be used to gain new insights into the regulatory processes required for seed differentiation. We sequenced messenger RNA populations of specific soybean seed compartments, which will provide new insights into gene expression that are important for “making a soybean seed.”
2014-05-07 | GSE57350 | GEO
Project description:We investigated soybean seed development because (1) soybean seeds are a major source of food and fuel, (2) soybean seeds have been an excellent system for studying the basic processes controlling seed development for over three decades, and (3) new soybean genomic resources, including the sequence of the soybean genome and the gene expression profiles for all seed compartments, tissues, and cell types, can be used to gain new insights into the regulatory processes required for seed differentiation. We sequenced messenger RNA populations of specific soybean seed compartments, which will provide new insights into gene expression that are important for “making a soybean seed.”
2014-05-07 | GSE57349 | GEO