Integrated application of multi-omics provides insights into cold stress responses in pufferfish Takifugu fasciatus
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ABSTRACT:
ORGANISM(S): Takifugu fasciatus
PROVIDER: GSE129226 | GEO | 2020/04/10
REPOSITORIES: GEO
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Project description:BackgroundT. fasciatus (Takifugu fasciatus) faces the same problem as most warm water fish: the water temperature falls far below the optimal growth temperature in winter, causing a massive death of T. fasciatus and large economic losses. Understanding of the cold-tolerance mechanisms of this species is still limited. Integrated application of multi-omics research can provide a wealth of information to help us improve our understanding of low-temperature tolerance in fish.ResultsTo gain a comprehensive and unbiased molecular understanding of cold-tolerance in T. fasciatus, we characterized mRNA-seq and metabolomics of T. fasciatus livers using Illumina HiSeq 2500 and UHPLC-Q-TOF MS. We identified 2544 up-regulated and 2622 down-regulated genes in the liver of T. fasciatus. A total of 40 differential metabolites were identified, including 9 down-regulated and 31 up-regulated metabolites. In combination with previous studies on proteomics, we have established an mRNA-protein-metabolite interaction network. There are 17 DEMs (differentially-expressed metabolites) and 14 DEGs-DEPs (differentially co-expressed genes and proteins) in the interaction network that are mainly involved in fatty acids metabolism, membrane transport, signal transduction, and DNA damage and defense. We then validated a number of genes in the interaction network by qRT-PCR. Additionally, a number of SNPs (single nucleotide polymorphisms) were revealed through the transcriptome data. These results provide key information for further understanding of the molecular mechanisms of T. fasciatus under cold stress.ConclusionThe data generated by integrated application of multi-omics can facilitate our understanding of the molecular mechanisms of fish response to low temperature stress. We have not only identified potential genes and SNPs involved in cold tolerance, but also show that some nutrient metabolites may be added to the diet to help the overwintering of T. fasciatus.
| S-EPMC6615287 | biostudies-literature
Project description:Integrated application of multi-omics provides insights into cold stress responses in pufferfish Takifugu fasciatus
| PRJNA530554 | ENA
Project description:Arctic Mesorhizobium strain N33 was isolated from nodules of the Oxytropis arctobia in Canada’s eastern Arctic. This symbiotic bacterium can grow from 0 to 30°C, is one of the best known cold-adapted rhizobia, and can fix nitrogen at ~10°C. Here, the key molecular mechanisms of cold adaptation were investigated by determining changes in transcript profiles when cells were treated under eight different temperature conditions, including both sustained and transient cold treatments compared with cells grown at room temperature.
2015-05-08 | GSE60710 | GEO
Project description:Purpose: we conducted a six time-point transcriptomic analysis using two tobacco cultivars with contrasting cold responses, Taiyan8 tobacco (TT, cold susceptibility) and Yanyan97 tobacco (YT, cold resistance). Methods: mRNA profiles of Tobacco seedlings from CK and cold-treated plants were generated by deep sequencing, in triplicate, usingIllumina Hiseq4500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with methods: hisat2 (v2.0.5), SAMtools (v1.9). StringTie (v1.3.4d) and FeatureCounts (v1.6.4) Results: We found that both cultivars had common mechanisms to cope with cold stress, including common differentially expressed genes (DEGs), similar time-point-related differential expression profile of genes, and similar NtCBF gene co-expression modules, suggesting conservation of adaptation strategies for cold responses. Importantly, we found that YT experienced DEGs even under normal growth condition and had less DEGs in early stage of cold stress (0.5-2 h) when compared to TT, reflecting occurrence of genotype-dependent gene transcription. Moreover, a gene co-expression module (brown) with stress-related genes up-regulated in YT instead of TT at late stage (4-8 h), which might contribute to contrasting phenotypic changes during cold stress between TT and YT. Conclusions: our study provides valuable resources for transcriptomic studies of cold responses in plants. It also helps to identify key cold responsive genes for genetic manipulation for breeding of tobacco cultivars in the future.
2022-08-03 | GSE173352 | GEO
Project description:In this study, the primary objective was to characterise the impact of regular post-exercise (20 strength training sessions across 10 weeks) cold-water immersion (CWI) on mRNA expression. Secondary to this, the effect of regular post-exercise CWI on strength gains and post-exercise soreness was investigated. We used microarrays to detail the global effects of CWI on gene expression in vastus lateralis muscle tissue.
2016-08-16 | GSE85620 | GEO
Project description:Running title: More insights into ovulation Purpose:Ovulation is the process by which mature follicles release fertilized oocytes under the stimulation of gonadotropin. This involves the precise interaction and destiny of various cells in the follicle. Granulosa cells (GCs) are the only cells that recognize and respond to ovulation LH (or HCG) signals. Therefore, the classification and deep interpretation of genes in GCs under LH surge stimulation is the key to understand ovulation. Methods: In this study, RNA-seq, Q-PCR, Western blot, gene knockout, gene knockout and other experimental techniques were used to conduct trend and classification analysis of the genes regulated by ovulation signal of LH at the cellular and individual levels. Genes that may be involved in ovulation were screened, identified and were selected for functional verification. Results:(1) Firstly, 7104 and 347 mRNA and Long noncoding RNA (LncRNA) that may be involved in ovulation activity were screened at the gene level by transcriptome sequencing technology, respectively. According to gene expression, they were divided into activated, inhibited and transient activated gene expression patterns. 44 secreted proteins, 62 transcription factors, 22 periodic expression characteristic genes, 10 ovulation process unknown genes, 16 LncRNA-target gene cis pair combinations and 41 highly expressed LncRNA were identified and listed in the three models;(2) The functions of LncRNA Gm12840 and Gm20186 were studied at the cellular level. The results showed that knockdown Gm12840/20186 not only inhibited the proliferation and hormone synthesis of GCs, but also induced cell apoptosis;(3) The function of LncRNA Gm12840 was further studied in mice, and Gm12840 knockout mice were constructed by CRISPR/CAS9 technology: Results It was found that Gm12840 knockout significantly increased the number of antral follicles and ovulation, and significantly inhibited the number of atretic follicles and antral follicles not discharged after ovulation. Gm12840 knockout significantly increased litter size at 2-3 months of age, but also significantly inhibited litter size at 7-9 months of age. Meanwhile, Gm12840 knockout also significantly inhibited the number of follicles growing in the ovary of 11-month-old mice;(4) Finally, transcriptomic sequencing analysis of wilt-type and Gm12840-/- mouse GCs showed 349 genes were differentially expressed. KEGG enrichment analysis and WB results showed that Gm12840 knockout enhanced mTOR and MAPK signals. Conclusions:The above results screened and identified genes with potential research value during ovulation process, and took LncRNA Gm12840 as an example to verify their functions at the cell and individual levels, providing reference for further revealing the ovulation process.
2024-08-27 | GSE182965 | GEO
Project description:Running title: More insights into ovulation Purpose:Ovulation is the process by which mature follicles release fertilized oocytes under the stimulation of gonadotropin. This involves the precise interaction and destiny of various cells in the follicle. Granulosa cells (GCs) are the only cells that recognize and respond to ovulation LH (or HCG) signals. Therefore, the classification and deep interpretation of genes in GCs under LH surge stimulation is the key to understand ovulation. Methods: In this study, RNA-seq, Q-PCR, Western blot, gene knockout, gene knockout and other experimental techniques were used to conduct trend and classification analysis of the genes regulated by ovulation signal of LH at the cellular and individual levels. Genes that may be involved in ovulation were screened, identified and were selected for functional verification. Results:(1) Firstly, 7104 and 347 mRNA and Long noncoding RNA (LncRNA) that may be involved in ovulation activity were screened at the gene level by transcriptome sequencing technology, respectively. According to gene expression, they were divided into activated, inhibited and transient activated gene expression patterns. 44 secreted proteins, 62 transcription factors, 22 periodic expression characteristic genes, 10 ovulation process unknown genes, 16 LncRNA-target gene cis pair combinations and 41 highly expressed LncRNA were identified and listed in the three models;(2) The functions of LncRNA Gm12840 and Gm20186 were studied at the cellular level. The results showed that knockdown Gm12840/20186 not only inhibited the proliferation and hormone synthesis of GCs, but also induced cell apoptosis;(3) The function of LncRNA Gm12840 was further studied in mice, and Gm12840 knockout mice were constructed by CRISPR/CAS9 technology: Results It was found that Gm12840 knockout significantly increased the number of antral follicles and ovulation, and significantly inhibited the number of atretic follicles and antral follicles not discharged after ovulation. Gm12840 knockout significantly increased litter size at 2-3 months of age, but also significantly inhibited litter size at 7-9 months of age. Meanwhile, Gm12840 knockout also significantly inhibited the number of follicles growing in the ovary of 11-month-old mice;(4) Finally, transcriptomic sequencing analysis of wilt-type and Gm12840-/- mouse GCs showed 349 genes were differentially expressed. KEGG enrichment analysis and WB results showed that Gm12840 knockout enhanced mTOR and MAPK signals. Conclusions:The above results screened and identified genes with potential research value during ovulation process, and took LncRNA Gm12840 as an example to verify their functions at the cell and individual levels, providing reference for further revealing the ovulation process.
2024-08-27 | GSE182964 | GEO
Project description:Pigeonpea (Cajanus cajan) is an important legume food crop and plays a crucial role in a secure food supply in many developing countries. Several previous studies have suggested that pigeonpea has great potential for phosphorus (P) deficiency tolerance, but little is known about the underlying mechanism. In this study, the physiological and molecular responses of pigeonpea roots to phosphate (Pi) starvation were investigated through integrating phenotypic, genomic, transcriptomic, metabolomic, and lipidomic analyses. The results showed that low-Pi treatment increased total root length, root surface area, and root acid phosphatase activity, and promoted the secretion of organic acids (e.g. citric acids, piscidic acids, and protocatechuic acids) and the degradation of phospholipids and other P-containing metabolites in the roots of pigeonpea. Consistent with the morphological, physiological, and biochemical changes, a large number of genes involved in these Pi-starvation responses were significantly upregulated in Pi-deficient pigeonpea roots. Among these Pi-starvation response genes upregulated by low-Pi treatment, four gene families were expanded through recent tandem duplication in the pigeonpea genome, namely phosphate transporter 1 (PHT1), phosphoethanolamine/phosphocholine phosphatase (PECP), fasciclin-like arabinogalactan protein (FLA), and glutamate decarboxylase (GAD). These gene families may be associated with Pi uptake from the soil, phospholipid recycling, root morphological remodeling, and regulation of organic acid exudation. Taken together, our results suggest that pigeonpea employs complex Pi-starvation responses to strengthen P acquisition and utilization during low-Pi stress. This study provides new insights into the genome evolution and P deficiency adaptation mechanism of pigeonpea.
| S-EPMC9251600 | biostudies-literature
Project description:Cold senstive alleles of prp43, S249A and G429A were assayed for splicing and RNA processing defects. Keywords: splicing, pre-mRNA processing
2005-10-20 | GSE3473 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2024-08-27 | GSE182966 | GEO