Ontology highlight
ABSTRACT:
PROVIDER: PRJNA379669 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To identify novel microRNAs that are associated with drought tolerance in two different cowpea genotypes, we generated small RNA sequences from adult cowpea plants under control and dought stress treatments. Over 79 million raw reads were generated and numerous novel microRNAs are identified, including some associated with drought tolerance.
2011-09-01 | GSE26402 | GEO
Project description:To identify novel microRNAs that are associated with drought tolerance in two different cowpea genotypes, we generated small RNA sequences from adult cowpea plants under control and dought stress treatments. Over 79 million raw reads were generated and numerous novel microRNAs are identified, including some associated with drought tolerance. Sequencing of small RNAs in two cowpea genotypes under control and drought stress conditions.
2011-09-01 | E-GEOD-26402 | biostudies-arrayexpress
Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 | iProX
Project description:In this work, we performed high throughput sequencing of small RNA libraries in maize (Zea mays ssp. mays) and teosinte (Zea mays ssp. parviglumis) to investigate the response mediated by miRNAs in these plants under control conditions, submergence, drought and alternated drought-submergence or submergence-drought stress. After Illumina sequencing of 8 small RNA libraries, we obtained from 16,139,354 to 46,522,229 raw reads across the libraries. Bioinformatic analysis identified 88 maize miRNAs and 76 miRNAs from other plants differentially expressed in maize and/or in teosinte in response to at least one of the treatments, and revealed that a larger set of miRNAs were regulated in maize than in teosinte in response to submergence and drought stress.
2020-10-23 | GSE155050 | GEO
Project description:Purpose: We aimed to identify ZAT18 target genes and characterize functions of ZAT18 during plant drought tolerance Methods: A total amount of 3 μg RNA was used for generation of sequencing libraries using NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations and index codes were added to attribute sequences to each sample. After cluster generation, the library preparations were sequenced on an Illumina Hiseq platform and 125 bp/150 bp paired-end reads were generated. Clean reads were obtained by removing low quality reads, reads containing adapter and ploy-N from raw data. At the same time, Q20, Q30 and GC content the clean data were calculated. Index of the Arabidopsis genome was built using Bowtie v2.2.3 and paired-end clean reads were aligned to the reference genome using TopHat v2.0.12. HTSeq v0.6.1 was used to count the reads numbers mapped to each gene. And then FPKM (Fragments Per Kilobase of transcript sequence per Millions base pairs sequenced) of each gene was calculated based on the length of the gene and reads count mapped to this gene. Differential expression analysis of drought stress versus control condition was performed using the DESeq R package (1.18.0). Results:In total, eight samples with two biological replicates per genotype/treatment combination were used for RNA sequencing analysis. At least 2 G clean bases were generated for each sample. Comparative analysis revealed that 1777 genes were transcriptionally affected by AtZAT18 trasngene or drought treatment. The results showed that overexpression of AtZAT18 modulated expression level changes of 423 and 561genes under control and drought stress conditions, respectively. Drought stress treatment changed expression of 971 genes with 768 up-regulated and 203 down-regulated.
2017-06-13 | GSE93979 | GEO
Project description:Purpose: The goals of this study are studies the response of annual Zea mays ssp. mexicana L. under cold and drought stress Methods: The seedlings of zea may ssp. mexicana L. were generated by Illumina HiSeq2500 deep-sequencing. In order to generate a global overview of Zea mexicana transcriptome data, 3 of complement DNA (cDNA) libraries were prepared from RNA isolated from root, stem, and leave mixed tissues of Zea Mexicana from Control (24℃), Cold (4℃) and Drought (PEG2000, 20%) treatments and each teatment has two repetitions. The sequence reads that passed quality filters were merged and de novo to generate all transcripts set by Trinity with default parameter, which will be treated as reference genome. The number of paired-reads of each sample were mapped to reference genome by Bowtie software v1.1.1 and the number of mapped reads were calculated by RSEM. qRT-PCR validation was performed using BIO-RAD CFX96 sequence detection system and SYBR Green assays. Results: Using RNA-Seq technology with the Trinity assembled method, we generated a seedling plant transcriptome at a sequencing size of 51.78Gb of Zea mays ssp. mexicana L. from pooled RNA samples which included control (CK), cold (4℃) and drought (PEG2000, 20%) stressed plant samples. A total of 414,232,462 high quality clean reads were used to conduct de novo assembly and annotation of genes without reference genome information. All of these reads were assembled into 251,145 transcripts (N50 = 1,269 bp) and 184,280 unigenes (N50 = 923 bp). A total of 3,504 up-regulated and 1,220 down-regulated genes were detected under cold stress and 532 up-regulated and 82 down-regulated genes were detected under drought stress. A Venn diagram indicated that 208 genes were affected by both cold and drought stresses. 3 cold stress pathways and 5 drought related pathways showed significant KEGG pathways. Functional enrichment analyses identified many common or specific biological processes and gene sets in response to drought and cold stresses. The ABA dependent pathway, trehalose synthetic pathway and CBF6 gene of ICE1-CBF pathway may play important roles in the DEGs co-up-regulated by both stresses of Zea mays ssp. mexicana L. Conclusions: We analyzed transcriptome data and gene expression profile information from seedlings of Zea mays ssp. mexicana L. under cold and drought stresses. Together these data provides the most comprehensive sequence study available for Zea mays ssp. mexicana L. and provides some important functional genes and molecular mechanism information for improving the quality characteristic of maize in the future.
2016-01-19 | GSE76939 | GEO
Project description:Eukaryotic community under drought Raw sequence reads Raw sequence reads
| PRJNA593840 | ENA