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Transcriptome analysis during seed development provides insights into altered gene expression in Glycine max

ABSTRACT: The temporal expression profile of Glycine max seeds was carried out to identify genes that are differentially expressed (DE) during seed development. Using the Affymetrix chip, we have for the first time provided a holistic view of the transcriptional landscape during seed development in four different developmental stages in Glycine max. cv. Pusa 16. The analysis of the differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have led to the identification of few candidate genes related to inositol metabolism and especially in phytate biosynthesis. In conclusion, we have shown here a logical approach to identify possible candidate genes for fine tuning the metabolic flux for phytate generation, which may be altered by metabolic engineering in developing a low phytate phenotype.

ORGANISM(S): Glycine max

PROVIDER: GSE69821 | GEO | 2015/08/11

SECONDARY ACCESSION(S): PRJNA292501

REPOSITORIES: GEO

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Transcriptome analysis during seed development provides insights into altered gene expression in Glycine max

Project description:The temporal expression profile of Glycine max seeds was carried out to identify genes that are differentially expressed (DE) during seed development. Using the Affymetrix chip, we have for the first time provided a holistic view of the transcriptional landscape during seed development in four different developmental stages in Glycine max. cv. Pusa 16. The analysis of the differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have led to the identification of few candidate genes related to inositol metabolism and especially in phytate biosynthesis. In conclusion, we have shown here a logical approach to identify possible candidate genes for fine tuning the metabolic flux for phytate generation, which may be altered by metabolic engineering in developing a low phytate phenotype. Seeds of Glycine max grown at 28/26°C, 16h/8h light/dark were collected at different developmental stages( 0-4mm, 4-8mm, 8-12mm and 12-16mm ) and analyzed. Samples in triplicates from each developmental stage were used for data generation on Affymetrix Chip, each time the earlier developmental stage was considered as control Vs the treatment, corresponding to the later developmental stage. For each biological replicates, RNA was extracted from 20 seeds collected from 5 different plants, grown in the same conditions using the Trizol method. RNA integrity was analyzed using bio analyzer (with RIN value more than 8).

2015-08-11 | E-GEOD-69821 | biostudies-arrayexpress

Transcriptome analysis during seed development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and it seedless somatic variant.

Project description:We report the application of Illumina mRNA sequencing technology for high-throughput profiling of the transcriptome of a seeded wine cultivar (wild-type) and its seedless somatic variant (mutant), sampled at three key growth stages of grapevine:Â E-L 15 (single flowers in compact groups), E-L 27 (young berries enlarging) and E-L 38 (berries harvest-ripe). By obtaining over 126 to 143 million and 102 to 127 million reads of 100-bp in length for the wild-type and mutant respectively, we have for the first time provided a holistic view of the transcriptional landscape during seed development in both phenotypes. We found that comparison of differentially expressed (DE) genes, gene patterns and gene enrichment between the wild-type and mutant distinguished transcriptional events in the two lines. For example, differential expression analysis in the pairwise comparison between developmental stages identified DE genes specific to the wild-type background, DE genes specific to the mutant background and DE genes commonly shared in both backgrounds. The analysis of differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have lead to the identification of candidate genes for seedlessness that have altered expression in wild-type and mutant. In conclusion, we have shown here a logical approach to identify possible regulators and processes required for normal seed development that may be altered in the seedless phenotype, and highlighted the importance of somatic variants as a resources. Examination of absolute expression count for every gene at three key time-points in a seeded grapevine variety and its seedless somatic variant.

2014-12-31 | E-GEOD-58061 | biostudies-arrayexpress

Transcriptome analysis during seed development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and it seedless somatic variant.

Project description:We report the application of Illumina mRNA sequencing technology for high-throughput profiling of the transcriptome of a seeded wine cultivar (wild-type) and its seedless somatic variant (mutant), sampled at three key growth stages of grapevine: E-L 15 (single flowers in compact groups), E-L 27 (young berries enlarging) and E-L 38 (berries harvest-ripe). By obtaining over 126 to 143 million and 102 to 127 million reads of 100-bp in length for the wild-type and mutant respectively, we have for the first time provided a holistic view of the transcriptional landscape during seed development in both phenotypes. We found that comparison of differentially expressed (DE) genes, gene patterns and gene enrichment between the wild-type and mutant distinguished transcriptional events in the two lines. For example, differential expression analysis in the pairwise comparison between developmental stages identified DE genes specific to the wild-type background, DE genes specific to the mutant background and DE genes commonly shared in both backgrounds. The analysis of differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have lead to the identification of candidate genes for seedlessness that have altered expression in wild-type and mutant. In conclusion, we have shown here a logical approach to identify possible regulators and processes required for normal seed development that may be altered in the seedless phenotype, and highlighted the importance of somatic variants as a resources.

2014-12-31 | GSE58061 | GEO

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Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants

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2016-12-05 | GSE83152 | GEO

Identifying conserved and novel miRNAs in germinating seeds of Glycine max using deep sequencing

Project description:MicroRNAs (miRNAs) are important post-transcriptional regulators of plant development. In soybean (Glycine max), an important edible oil crop, valuable lipids are synthesized and stored in the cotyledons during embryogenesis .This storage lipids are used as energy source of the emerging seeds, during the germination procces. Until now, there are no microRNAs related to lipid metabolism in soybean or any other plant. This work aims to describe the miRNAome of germinating seeds of B. napus by identifying plant-conserved and novel miRNAs and comparing miRNA abundance in mature versus germinating seeds. A total of 183 familes were detected through a computational analysis of a large number of reads obtained from deep sequencing from two small RNA libraries of (i) pooled germintaing seeds stages and (ii) mature soybean seeds. We have found 39 new mirna precursors which produce 41 new mature forms. The present work also have identified isomiRNAs and mirnas offset (moRNAs). This work presents a comprehensive study of the miRNA transcriptome of soybean germinating seeds and will provide a basis for future research on more targeted studies of individual miRNAs and their functions in lipid consumption in development soybean seeds. MicroRNA profiles in 2 different seed libraries (mature seeds and a pool of germinating seed stages) of Glycine max by deep sequencing (Illumina GAII).

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Project description:The nuclei of Glycine max from different tissues were collected. The samples were: soybean seed mid-maturation stage (10mm), seed late cotyledon stage (5mm), seed early cotyledon stage (3mm), seed heart stage (1mm), soybean green pods without seeds (stage), soybean flower bud (early flowering stage), soybean shoot apical meristem (stage), soybean trifoliate leaf (R5 stage), and soybean true leave (stage). The library construction was performed applying 10 Genomics technology.

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