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.
Project description:Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on guilt-by-association relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants.
Project description:Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on “guilt-by-association” relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants. SUBMITTER_CITATION: Biology 2013, 2(4), 1311-1337; doi:10.3390/biology2041311 Changes in RNA Splicing in Developing Soybean (Glycine max) Embryos Delasa Aghamirzaie, Mahdi Nabiyouni, Yihui Fang, Curtis Klumas, Lenwood S. Heath, Ruth Grene and Eva Collakova SUBMITTER_CITATION: Metabolites 2013, 3(2), 347-372; doi:10.3390/metabo3020347 Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos Eva Collakova, Delasa Aghamirzaie, Yihui Fang, Curtis Klumas, Farzaneh Tabataba, Akshay Kakumanu, Elijah Myers, Lenwood S. Heath and Ruth Grene Total mRNA profiles of 10 time course samples of Soybean developing embryos with three replicates per sample were generated by deep sequencing, using Illumina HiSeq 2000
Project description:A transcriptome analysis of soybean seeds harvested at different developing stages (between stage 7.1 and stage 9) was carried out to understand the molecular events occuring during the acquisition of seed longevity during maturation.
Project description:Controlled deterioration treatment (CDT) negatively affects the seed quality and vigor during post-harvest storage. A label-free proteomic approach was utilized to understand the CDT responses in soybean seeds. Soybean seed are rich in seed-storage proteins (SSPs) constituting up to 70 to 80% of the total seed protein content. Due to the presence of these SSPs, it is very difficult to identify and/or characterize the low-abundance regulatory proteins. Availability of appropriate methods for extraction of low-abundance proteins (LAPs) are now providing a platform for the identification of novel proteins involved in the signal perception and transduction during environmental perturbations. To enrich LAPs, the extracted total seed proteins were subjected to protamine sulfate precipitation (PSP) method to deplete SSPs. Fractionated protein fractions thus prepared were analyzed for identification of differential proteins using Label-free quantitative proteomics approaches.
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).
Project description:The I locus is a 27-kb inverted repeat cluster of chalcone synthase genes CHS1-3-4 that mediates siRNA down-regulation of CHS7 and CHS8 target mRNAs during seed development leading to yellow seed coats lacking anthocyanin pigments. Here, we report small RNA sequencing of ten stages of seed development from a few days post fertilization through maturity, revealing the amplification from primary to secondary short interfering RNAs (siRNAs) occurring during development. The young seed populations had a higher proportion of siRNAs representing the CHS1-3-4 gene family members, consistent with this region as the origin of the primary siRNAs. More intriguingly, the very young seed had a higher proportion of 22-nt CHS siRNAs than did the mid-maturation seed. We infer that the primary CHS siRNAs increase during development to levels sufficient to trigger amplification of secondary CHS siRNAs from the CHS7/8 target mRNAs, enabling the total levels of 21-nt CHS siRNAs to rise dramatically. Further, we demonstrate that the soybean system exhibits tissue-specific CHS siRNA production because primary CHS siRNA levels are not sufficient to trigger secondary amplification in tissues other than the seed coat.