Oryza sativa
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ABSTRACT:
PROVIDER: PRJDB35993 | ENA |
REPOSITORIES: ENA
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Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to investigate NGS-derived rice leaf transcriptome profiling (RNA-seq) exposed to green rice leafhopper (GRH) and validated RNA-Seq results using quantitative reverse transcription polymerase chain reaction (qRT–PCR). Methods: Rice leaf mRNA profiles of 21-day-old wild-type (WT) and Near Isogenic Line (NIL) rice were generated by deep sequencing, in triplicate, using Illumina’s HiSeq™ 4000 Sequencing System. For assembled genes, longest contigs of the assembled contigs were filtered and clustered into the non-redundant transcripts using CD-HIT-EST (Li et al., 2001; Bolger et al., 2014). qRT–PCR validation was performed using ROX and SYBR Green assays. Results: RNA-Seq results revealed that an average of 1,766,347 (1,240,317 in control and 526,030 GRH treated plants) and 3,676,765 (2,986,748 control and 690,017 GRH) counts per million mapped (CPM) reads were generated from Ilpum and NIL GRH treated plants, respectively. After alignment, more than 75% of all reads were successfully mapped to the reference genome, and 8,859 genes and 15,815,400 transcripts were obtained. GRH infestation caused differential expression of 4265 up-regulated and 4,594 down-regulated genes in Ilpum, while in NIL, 4,479 and 4,380 genes were up- and down-regulated, respectively 48 h post-infestation. A total of 3,424 differentially expressed genes (DEGs, 1,605 up-regulated in Ilpum and down-regulated in NIL; 1,819 genes up-regulated in NIL and down-regulated in Ilpum) were identified. Interestingly, these DEGs were found to be involved in key physiological processes, with interesting molecular functions, including plant defense against diverse biotic stresses, hormone signaling, and other developmental processes. Based on the quantile normalization of the Fragments Per Kilobase of transcript per Million mapped reads (FPKM) values followed by student’s t-test (p <0.05) we identified 3,283 DEGs in Ilpum (1,935 upregulated and 1,348 downregulated) and 2,599 DEGs in NIL (1,621 up-regulated and 978 down-regulated) with at least log2 (logarithm base 2) 2-fold change (Log2FC) in expression upon GRH infestation. Conclusions: The current study has provided the first RNA-Seq dataset and comparative transcriptome profile of GRH responsive genes from Ilpum (GRH-susceptible rice cultivar) and a near isogenic line (NIL) carrying Grh1 gene introduced from Shingwang into Ilpum to investigate the possible transcriptional interaction with other defense related genes. In addition, RNA-Seq data and MapMan analysis revealed the activation of multiple regulatory pathways following GRH infestation. Furthermore, the observed differential transcriptome profile between Ilpum and NIL would suggest the existence of a possible interaction network between Grh1 and other defense related genes towards GRH resistance in rice.
2021-06-10 | GSE176497 | GEO
Project description:In this study, we used a cross-species network approach to uncover nitrogen (N)-regulated network modules conserved across a model and a crop species. By translating gene network knowledge from the data-rich model Arabidopsis (Arabidopsis thaliana, ecotype Columbia-0) to a crop, rice (Oryza sativa spp. japonica (Nipponbare)), we identified evolutionarily conserved N-regulatory modules as targets for translational studies to improve N use efficiency in transgenic plants.
2015-06-10 | GSE38102 | GEO
Project description:Artificial miRNA mediated knock-down ago18 transgenic lines [ago18(1), ago18(2)] showed developmentally compromised phenotype in both vegetative and reproductive tissues compared to wild-type control. We have performed small RNA seq to investigate underlying molecular mechanism and to reveal functional role of AGO18 in rice.
2018-01-15 | GSE107904 | GEO
Project description:Artificial miRNA mediated knock-down ago18 transgenic lines [ago18(1), ago18(2)] showed developmentally compromised phenotype in both vegetative and reproductive tissues compared to wild-type control. We have performed RNA seq to investigate underlying molecular mechanism and to reveal functional role of AGO18 in rice.
2018-01-15 | GSE107903 | GEO
Project description:The histone 3 lysine 9 acetylation (H3K9ac) is an epigenetic marker widely distributed in plant genome, which could eThe histone 3 lysine 9 acetylation (H3K9ac) is an epigenetic marker widely distributed in plant genome, which could enhance gene transcription involved in stress-responsive gene expression. The physiological and molecular mechanisms underlying plant responses to insects are being increasingly studied, while epigenetic modifications such as histone acetylation and their potential regulation at the genomic level of transcription of hidden genes in plants damaged by insects remain largely unknown. In current study, we provided the genome-wide profiles of H3K9ac in rice (Oryza sativa) infested by fall armyworm (Spodoptera frugiperda, FAW) using chromatin immunoprecipitation sequencing (ChIP-Seq) and RNA sequencing (RNA-seq). RNA-seq data revealed that 3269 and 4609 genes were up-regulated at 3 h and 12 h after infestation with FAW, respectively. ChIP-Seq analysis revealed 1617 and 2617 genes modified by H3K9ac in rice infested with FAW at 3 h and 12 h, respectively, and H3K9ac was mainly enriched in the transcription start sites of genes.
2024-05-31 | GSE232269 | GEO
Project description:Transcriptional profiling of MIT knockdown plants. MIT is a mitochondrial Fe transporter essential for rice growth and development. The goal was to determine the effects of MIT on global rice gene expression.
2011-04-07 | GSE28428 | GEO
Project description:The small RNAs presented here were produced as a preliminary exploration of small RNAs in rice, and as such, various tissues and stress conditions were sampled. Small RNAs present in these samples were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682. The datasets contain Oryza sativa var Nipponbar endogenous small RNA sequences in the size range 18 to 34 nt. Plants were grown in a Conviron Environmental Chamber at high light intensity using both high pressure sodium and metal halide lamps for 10.5 hr at 28 degrees C and for 13.5 hr at 26 degrees C in the dark. RNA was extracted from rice tissues at various stages of development and under different abiotic and biotic stresses. The small RNAs presented here were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682.
2009-06-08 | GSE16248 | GEO
Project description:Abiotic environmental stresses cause serious economic losses in agriculture. These stresses include temperature extremes, high salinity and drought. To isolate drought-responsive novel coding and noncoding genes, we used the next generation sequencing method from three rice cultivars (wild type nipponbare, nipponbare AP2 transgenic plants, wild type vandana). 36 NGS data of mRNA-seq, small RNA-seq, riboZero-seq were analyzed. For the analyses of these data we constructed a TF-TG (Transcription Factor-Target Gene) network and an ap2 rooted cascading tree. Using these networks and tress we isolated lincRNAs, differentially expressed miRNAs and their targets. We identified several drought stress-related novel/function unknown coding transcripts (transcription factors and functional genes) and non-coding transcripts (small noncoding transcripts such as microRNA and long noncoding transcripts) from these database analyses and have constructed databases of drought stress-related coding and noncoding transcripts Identification of drought-responsive Regulatory Coding and Non-coding Transcripts from rice by deep RNA sequencing
2016-09-06 | E-GEOD-74465 | biostudies-arrayexpress
Project description:Cross-kingdom molecular exchange between hosts and interacting microbes is essential for the survival of both plants and their pathogens. Recent studies showed plants transfer their small RNAs (sRNAs) and massager RNAs (mRNAs) into fungal pathogens to suppress infection. However, whether and how plants send defense proteins into pathogen cells remains unknown. Here, we show that rice plants send defense proteins into the fungal pathogen Rhizoctonia solani via extracellular vesicles (EVs). These vesicles enrich host defense proteins and are taken up by the fungal cells. Reducing EV-mediated host protein transfer leads to increased disease susceptibility. Thus, plants send defense proteins via EVs into fungal pathogens to combat infection, providing a mechanism of protein exchange between plants and pathogens that helps reduce crop disease.
2025-01-06 | PXD048458 | Pride