E-GEOD-69469
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-69469 | ExpressionAtlas | 2019-05-14
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. Gene expression analysis of soybean leaves under water deficit in 6 periods of day by sequencing 36 libraries, in triplicate, in Illumina platform.
2015-07-07 | E-GEOD-69469 | biostudies-arrayexpress
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling. Soybean plants were grown in pots. When the plants reached the R1 stage (started flowering), drought treatment was imposed by withholding water. The soil moisture content was monitored during the process until the 5th day of water withholding, when soil moisture content reached 5%. The 3rd trifoliate (counting from shoots), now at the R2 stage, was collected for total RNA extraction, while other 3rd trifoliates of similar chlorophyl index were collected for leaves water content determination to identify the severity of the stress. Total RNA from 3rd trifoliates were used for expression profiling using Affymetrix Soybean Gene 1.0 ST arrays. Four biological repeats per treatment were performed, three biological repeats were chosen for expression profiling.
2012-11-10 | E-GEOD-40604 | biostudies-arrayexpress
Project description:We analyzed lncRNAs from sorghum leaves under water control treatment using high-throughput sequencing technology and bioinformatic approaches to explore the genome-wide quantity of lncRNAs and their potential function in the regulation of drought responses.
2023-09-25 | GSE232788 | GEO
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling.
2012-11-10 | GSE40604 | GEO
Project description:We analyzed lncRNAs and mRNAs from sugar beet leaves under water control treatment using high-throughput sequencing technology and bioinformatic approaches to explore the genome-wide quantity of lncRNAs and mRNAs and their potential function in the regulation of drought responses.
2023-01-12 | GSE205413 | GEO
Project description:By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants.
2015-07-07 | GSE69469 | GEO
Project description:We report the genome-wide transcriptome of soybean seeds across several stages of seed development and the entire life cycle using Illumina high-throughput sequencing technology. Specifically, we profiled whole seeds containing globular-stage, heart-stage, cotyledon-stage, and early maturation-stage embryos. We also profiled dry soybean seeds, and vegetative and reproductive tissues including leaves, roots, stems, seedlings, and floral buds. Illumina sequencing of transcripts from whole seeds at five stages of seed development (globular, heart, cotyledon, early-maturation, dry), and vegetative (leaves, roots, stems, seedlings) and reproductive (floral buds) tissues.
2011-05-10 | E-GEOD-29163 | biostudies-arrayexpress
Project description:We report the genome-wide transcriptome of soybean seeds across several stages of seed development and the entire life cycle using Illumina high-throughput sequencing technology. Specifically, we profiled whole seeds containing globular-stage, heart-stage, cotyledon-stage, early maturation-stage, mid-maturation-stage, and late-maturation-stage embryos. We also profiled dry soybean seeds, and vegetative and reproductive tissues including leaves, roots, stems, seedlings, and floral buds.
2011-05-10 | GSE29163 | GEO
Project description:High-throughput sequencing of small RNAs from rice was used to identify distinct miRNAs that are responsive to elicitors from the fungal pathogen Magnaporthe oryzae. [Expression profiling by array] We used microarrays to determine the expression behaviour of target genes for elicitor-regulated miRNAs. [High throughput sequencing] High-throughput sequencing of rice small RNAs was performed in two different tissues, leaves and roots, and two different time point of elicitor treatment, 30' and 2h Amplicons were prepared by 5M-BM-4and 3M-BM-4adaptor ligation in which the 5'-adaptor contained a 'barcode' consisting of a 4-nucleotide identifier sequence for each sample. The libraries containing unique barcodes were combined and subjected to pyrosequencing (454 Life SciencesTM, Roche) [Expression profiling by array] Leaves from rice plants were harvested at two time points after the onset of treatment (30' and 2h) with elicitors of Magnaporthe oryzae 18.1 and used for RNA extraction and hybridization on Affymetrix microarrays. Mock inoculations were performed with sterile water for control experiments. Three biological replicates were analyzed. Each sample represented a pool of approximately 150 rice plants. [High throughput sequencing] 8 samples examined: leaves and roots, treated or not with elicitors at two different time points, 30' and 2h (2x2x2)
2014-01-15 | E-GEOD-30583 | biostudies-arrayexpress
Project description:Manganese (Mn) stress is known to be a major limitation for development of soybean, and legume crop productivity globally. However, very little information is available on the adaptive mechanisms, particularly in the important legume crop soybean (Glycine Max L.), which enable leaves to respond to high-Mn availability. Thus, to elucidate these mechanisms in soybean leaves at molecular level, we used an RNA sequencing approach to investigate transcriptomes of the leaves under Mn-sufficient and Pi-excessive conditions. Our investigation revealed that more genes showed altered expression patterns in old leaf than in young leaf under Mn excess, suggesting that the Mn excess-more-sensitive old leaf required expression change in a larger number of genes to cope with high-Mn stress than the Mn excess-less-sensitive young leaf. The functional classification of differentially expressed genes (DEGs) was examined to gain an understanding of how leaves respond to Mn stress, caused by soil Mn excess. As a result, more DEGs involved in nodulation, detoxification, nutrient/ion transport, transcriptional factors, key metabolic pathways, Mn remobilization and signalling were found in Mn-excessive induced old leaves than in Mn-excessive induced young leaves. Our findings have enabled the identification of molecular processes that play important roles in the acclimation of leaves to Mn excess, ultimately leading to the development of Mn-efficient soybean suitable for Mn-excessive soils.
2022-08-16 | GSE118649 | GEO