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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

Detection and Characterization of Gene Expression Differences in Transgenic Glycine max Seeds with RNAseq

Project description:Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome

2015-10-04 | GSE64620 | GEO

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

Gene Expression Changes during embryo and seed maturation, quiescence and germination in soybean

Project description:To understand the molecular events underlying seed maturation, quiescence and germination, we performed transcriptome analysis of soybean (Glycine max) embryos at four seed developmental stages (cotyledon, early, mid and late maturation), mature dry seeds, and seedlings, eight days after seed sowing.

2017-07-12 | GSE99571 | GEO

Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean lines

Project description:Purpose: Comprehensive comparison of gene-expression profiles between 3mlpa (mutant with low phytic acid) and 3MWT (non-mutant with normal phyic acid) soybean lines (Glycine max) at five stages of seed development using RNA-Seq approaches. Methods: mRNA sequencing reads (101SE) were generated in triplicate from five seed developmental stages of 3mlpa and 3MWT soybean line using Illumina HiSeq 2000. Results: A total of 4235 differentially expressed genes, including 512-transcription factor genes were identified. Eighteen biological processes such as apoptosis, glucan metabolism, cellular transport, photosynthesis and 9 transcription factor families including WRKY, CAMTA3 and SNF2 were enriched during seed development. Genes associated with apoptosis, glucan metabolism, and cellular transport showed enhanced expression in early stages of lpa seed development, while those associated with photosynthesis showed decreased expression in late developmental stages. Conclusion: This study provides a global perspective of transcriptomal changes during soybean seed development in 3mlpa mutant. The results suggest that low phtic acid-causing mutations in 3mlpa play a role in inducing and suppressing plant defense responses during early and late stages of seed development, respectively.

2016-01-15 | GSE75575 | GEO

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

Project description:Seed germination is important to soybean (Glycine max) growth and development, ultimately affecting soybean yield. A lower seed field emergence has been the main hindrance for breeding soybeans low in phytate. Although this reduction could be overcome by additional breeding and selection, the mechanisms of seed germination in different low phytate mutants remain unknown. In this study, we performed a comparative transcript analysis of two low phytate soybean mutants (TW-1 and TW-1-M), which have the same mutation, a 2 bp deletion in GmMIPS1, but show a significant difference in seed field emergence.

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).

2015-05-25 | E-GEOD-38373 | biostudies-arrayexpress

Transcriptome analysis of embryonic axes of soybean seeds germinating in the presence of the gibberellin (GA) biosynthesis inhibitor paclobutrazol (PBZ)

Project description:Purpose: A time-course transcriptome study to identify probable GA-responsive genes in soybean embryonic axes during seed germination. Methods: Seeds were germinated in the presence or absence of 200 µM PBZ. Seeds were germinated in 28°C temperature and 12/12h photoperiod (dark/light) and harvested at 12, 24 and 36 hours after imbibition (HAI). Three biological replicates were performed. Results: Identification of GA-responsive genes during germination in Glycine max.

2019-07-26 | GSE112872 | GEO

Genome-wide transcriptome analyses of developing seeds from low and normal phytic acid soybean lines

2016-01-15 | E-GEOD-75575 | biostudies-arrayexpress

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