Cold spring metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA482439 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7589086_1.fastq.gz | Fastqsanger.gz | |||
| SRR7589086_2.fastq.gz | Fastqsanger.gz | |||
| SRR7589087_1.fastq.gz | Fastqsanger.gz | |||
| SRR7589087_2.fastq.gz | Fastqsanger.gz |
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Project description:This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Jonathan Preall jpreall@cshl.edu (Generation 0 Data from Hannon Lab), Carrie Davis davisc@cshl.edu (experimental), Alex Dobin dobin@cshl.edu (computational), Wei Lin wlin@cshl.edu (computational), Tom Gingeras gingeras@cshl.edu (primary investigator)). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:genome@soe.ucsc.edu). hg18: This data was produced by Hannon lab part of Cold Spring Harbor as part of the ENCODE Project. The series depicts NextGen sequencing information for RNAs between the sizes of 20-200 nt isolated from RNA samples from tissues or sub cellular compartments of cell lines. hg19: This track depicts NextGen sequencing information for RNAs between the sizes of 20-200 nt isolated from RNA samples from tissues or sub cellular compartments from ENCODE cell lines. The overall goal of the ENCODE project is to identify and characterize all functional elements in the sequence of the human genome. hg19: This cloning protocol generates directional libraries that are read from the 5' ends of the inserts, which should largely correspond to the 5' ends of the mature RNAs. The libraries were sequenced on a Solexa platform for a total of 36, 50 or 76 cycles however the reads undergo post-processing resulting in trimming of their 3' ends. Consequently, the mapped read lengths are variable. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
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Project description:This dataset is associated with two publications 1. Elucidating the biochemical basis of trans-16:1 fatty acid change in leaves during cold acclimation in wheat. http://doi.org/10.1002/pei3.10044 In this study, comparative RNA-seq analyses with leaf tissues undergoing cold acclimation reveal concerted transcriptome shifts indicating a reduced chloroplast lipid pathway activity and increased cytosolic ER membrane lipid synthesis. To explore the underlying metabolic and transcriptional mechanisms responsible for the reduction of the t16:1 under cold, a detailed lipid analysis and comparative transcriptome study were conducted with four wheat cultivars during cold treatment. The RNA-seq dataset includes four wheat cultivars (Manitou, Winter Manitou, Norstar and Spring Norstar) treated with cold paired with control. The data as a whole show that leaf tissues experience a gradual decrease in chloroplast lipid pathway activity and the variation in the decline of chloroplast lipid synthesis in different cultivars manifest in the rate of decrease in t16:1decrease in leaf tissues. Future efforts are required to determine if and how the down regulation of the chloroplast lipid pathway is related to the development of winter hardiness. 2. Computational genomics insights into cold acclimation in wheat. https://doi.org/10.3389/fgene.2022.1015673 In this study, integrated computational approaches was employed to investigate the transcriptomics and lipidomics data associated with cold acclimation and vernalization in the four wheat genotypes of distinct cold tolerance. Differential expression was investigated between cold treated and control samples and between the winter-habit and spring-habit wheat genotypes. Collectively, 12,676 differentially expressed genes (DEGs) were identified. Principal component analysis of these DEGs indicated that the first, second, and third principal components (PC1, PC2, and PC3) explained the variance in cold treatment, vernalization and cold hardiness, respectively. Differential expression feature extraction (DEFE) analysis revealed that the winter-habit wheat genotype Norstar had high number of unique DEGs (1884 up and 672 down) and 63 winter-habit genes, which were clearly distinctive from the 64 spring-habit genes based on PC1, PC2 and PC3. Correlation analysis revealed 64 cold hardy genes and 39 anti-hardy genes. Cold acclimation encompasses a wide spectrum of biological processes and the involved genes work cohesively as revealed through network propagation and collective association strength of local subnetworks. Integration of transcriptome and lipidomics data revealed that the winter-habit genes, such as COR413-TM1, CIPKs and MYB20, together with the phosphatidylglycerol lipids, PG(34:3) and PG(36:6), played a pivotal role in cold acclimation and coordinated cohesively associated subnetworks to confer cold tolerance. Citations: http://doi.org/10.1002/pei3.10044 https://doi.org/10.3389/fgene.2022.1015673
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