Temporal Gene Expression Profiles From Pollination to Seed Maturity in Sorghum Provide Core Candidates for Engineering Seed Traits
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ABSTRACT:
ORGANISM(S): Sorghum bicolor
PROVIDER: GSE206876 | GEO | 2025/02/06
REPOSITORIES: GEO
Similar Datasets
Project description:To understand gene expression networks leading to functional properties and compositional traits of the soybean seed, we have undertaken a detailed examination of soybean seed development from a few days post-fertilization to the mature seed using Illumina high-throughput transcriptome sequencing (RNA-Seq). RNA was sequenced from seven different stages of seed development, yielding between 12 million and 78 million sequenced transcripts. These have been aligned to the 79,000 gene models predicted from the soybean genome recently sequenced by the Department of Energy Joint Genome Institute. Over one hundred gene models were identified with high expression exclusively in young seed stages, starting at just four days after fertilization. These were annotated as being related to many basic components and processes such as histones and proline-rich proteins. Genes involved with some storage proteins such as glycinin and beta-conglycinin had their highest expression levels at the stages of largest fresh weight, confirming previous knowledge that these storage products are being rapidly accumulated before the seed begins the desiccation process. Other gene models showed high expression in the dry, mature seeds, perhaps indicating the preparation of pathways needed later, in the early stages of imbibition. Many highly-expressed gene models at the dry seed stage are, as expected, annotated as hydrophilic proteins associated with low water conditions, such as late embryogenesis abundant (LEA) proteins and dehydrins, which help preserve the cellular structures and nutrients within the seed during desiccation. Hundreds of transcription factors with notable expression in at least one stage of seed development were also identified and examined. Results from a second biological replicate demonstrate high reproducibility of these data. High-throughput sequencing using Illumina Genome Analyzer II and Illumina HiSeq 2000 (RNA-Seq) was performed on seven stages of soybean seeds, with two biological replicates per stage.
2013-03-18 | E-GEOD-42871 | biostudies-arrayexpress
Project description:To understand gene expression networks leading to functional properties and compositional traits of the soybean seed, we have undertaken a detailed examination of soybean seed development from a few days post-fertilization to the mature seed using Illumina high-throughput transcriptome sequencing (RNA-Seq). RNA was sequenced from seven different stages of seed development, yielding between 12 million and 78 million sequenced transcripts. These have been aligned to the 79,000 gene models predicted from the soybean genome recently sequenced by the Department of Energy Joint Genome Institute. Over one hundred gene models were identified with high expression exclusively in young seed stages, starting at just four days after fertilization. These were annotated as being related to many basic components and processes such as histones and proline-rich proteins. Genes involved with some storage proteins such as glycinin and beta-conglycinin had their highest expression levels at the stages of largest fresh weight, confirming previous knowledge that these storage products are being rapidly accumulated before the seed begins the desiccation process. Other gene models showed high expression in the dry, mature seeds, perhaps indicating the preparation of pathways needed later, in the early stages of imbibition. Many highly-expressed gene models at the dry seed stage are, as expected, annotated as hydrophilic proteins associated with low water conditions, such as late embryogenesis abundant (LEA) proteins and dehydrins, which help preserve the cellular structures and nutrients within the seed during desiccation. Hundreds of transcription factors with notable expression in at least one stage of seed development were also identified and examined. Results from a second biological replicate demonstrate high reproducibility of these data.
2013-03-18 | GSE42871 | GEO
Project description:Bee Pollination Modifies the Structure of the Seed Microbiota
| PRJEB31847 | ENA
Project description:In this study, we performed bisulphite of five stages of seed development in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. Paired-end reads were generated from 11 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
2020-07-13 | GSE131665 | GEO
Project description:Despite their importance, there remains to be few large scale expression-based studies of tissue-specific expression information in the species belonging to the Triticeae. We used the 55K Affymetrix GeneChip® Wheat Genome Array to generate a gene expression atlas of triticale tissues. The global transcriptional profiles of seed tissues (embryo, endosperm, crease, pericarp and epiderm) and vegetative tissues (root, coleoptile, stem and leaf) were analyzed and co-regulated as well as preferentially expressed genes were identified. Data analysis revealed both novel and conserved regulatory factors underlying Triticeae tissue development and function. Triticale seed (embryo, endosperm, crease, pericarp and epiderm) and vegetative tissues (root, coleoptile, leaf and stem) were collected and analyzed using the 55K Affymetrix Wheat Genome array. All seed tissues were collected at the soft dough stage of seed development. Vegetative tissues were collected at multiple stages of development. Root and coleoptile tissues were collected at early development (Zadoks' stage 7), and leaf tissue was collected at five successive stages ranging from seedling to late senescence and stem tissue was collected at four successive stages stages ranging from initial tillering to early senescence. Between two to five biological replicates for each tissue were analyzed.
2014-12-24 | E-GEOD-43127 | biostudies-arrayexpress
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
2017-12-31 | GSE79719 | GEO
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a small-seeded chickpea (genotype Himchana 1). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
2017-12-31 | GSE79720 | GEO
Project description:Five degradome libraries were constructed from three different seed developmental stages. Separate degradome libraries were constructed for seed coat and cotyledons to identify the tissue specific miRNAs and their potential targets. Sequencing and analysis of degradome libraries gives identification of 183 different targets for 80 known soybean miRNAs. We found 30 cotyledon specific, 18 seed coat specific and 32 miRNAs found in both tissues irrespective of the developmental stages. One interesting observation is that we found more miRNA targets in late seed developmental stages than earlier stages. Additionally, we have validated four different auxin response factor genes as targets for gma-miR160 via RNA ligase mediated 5′ rapid amplification of cDNA ends (RLM-5′RACE). GO analysis indicated the enrichment of miRNA target genes in seed development.
2012-08-07 | GSE34433 | GEO
Project description:Global analyses of protein profiling during seed development in soybean is paramount to understand the metabolic processes that correspond to the differential protein accumulation and hence seed quality in soybean. Using high throughput tandem mass tag (TMT) based tagging techniques, we identified 4,172 proteins in three stages namely early, mid, and late seed filling. We mapped the identified metabolic pathways associated with seed filling. An elevated level of several kinases was observed from the early to mid-stages of seed filling, indicating that protein phosphorylation was a major event that occurred during this period. The early to late stages of seed filling was characterized by an increased level of proteins associated with the cell wall, oil, and vacuolar-related processes. Twenty-five seed storage protein genes located on 12 different chromosomes were identified. Among the seed storage proteins, 7S (B-subunit) and 11S (Gy3, Gy4, Gy5) exhibited steadily increased abundance from early to late-stage seed development, whereas, 2S albumin exhibited decreased abundance during the same period. An increased abundance of proteases, senescence-associated proteins and, oil synthesis proteins was observed from the mid to late stages of seed filling. The mid to late stages of seed filling were also characterized by a lower abundance of transferases, transporters, Kunitz family trypsin, and protease inhibitors. Two enzymes associated with methionine synthesis exhibited lower abundance from early to late stages. This study unveiled the expression of several key enzymes/proteins associated with amino acid and protein syntheses and their accumulation during seed development which will assist scientists and breeders to develop new value-added soybeans with improved protein quality.
2021-06-06 | MSV000087577 | MassIVE
Project description:Background: To understand gene expression networks leading to functional properties of the soybean seed, we have undertaken a detailed examination of soybean seed development during the stages of major accumulation of oils, proteins, and starches, as well as the desiccating and mature stages, using microarrays consisting of up to 27,000 soybean cDNAs. Results: It was discovered that genes related to cell growth and maintenance processes, as well as energy processes like photosynthesis, decreased in expression levels as the cotyledons approached the mature, dry stage. Genes involved with some storage proteins had their highest expression levels at the stage of largest fresh weight. However, genes encoding many transcription factors and DNA binding proteins showed higher expression levels in the desiccating and dry seeds than in most of the green stages. Conclusions: Data on 27,000 cDNAs have been obtained over five stages of soybean development, including the stages of major accumulation of agronomically-important products, using microarrays. Of particular interest are the genes found to peak in expression at the desiccating and dry seed stages, such as those annotated as transcription factors, which may indicate the preparation of pathways that will be needed later in the early stages of imbibition and germination. Five stages of development of soybean cotyledons were studied. The first three, with fresh weights of 25-50mg, 75-100mg, and 400-500mg, were green in color. The last two, yellow-colored cotyledons with a fresh weight of 200-300mg and dry whole seeds approximately 100-200mg in weight, were desiccating and yellow/brown in color. The green stage of 100-200mg fresh weight cotyledons was used as a reference for all other stages. Four replicates, including two dye swaps, were made of each of the first three (green) stages. Two replicates, including one dye swap, were made of each of the last two (yellow/dry) stages. The results from three different platforms (GPL229, GPL1012, and GPL1013) were combined.
2010-05-05 | E-GEOD-18620 | biostudies-arrayexpress