Dataset Information

A time-resolved multi-omics atlas of oleaginous fungus M. alpina in response to nitrogen availability

ABSTRACT: One of the most extensively studied questions in oleaginous microorganism is how cells alter gene expression to deal with growth-limiting perturbation, and resource allocation was especially recognized to contribute to TAGs accumulation. However, the strategies of resource allocation are poorly understood. Here, we examined how metabolic alternations induced by nitrogen starvation drive the TAGs accumulation in M. alpina by time-course phenotypes, metabolomics, lipidomics, and proteomic analyses.Our study offers a panoramic view of resource allocation of M. alpina in response to nutrient stress and reports a set of intriguing relations between resource reallocation and TAGs accumulation. This system-level insight provides a rich resource to explore in-depth functional characterization and informs a nutrient stress manipulation strategy of combining strain development and process integration to achieve better lipid productivity.

ORGANISM(S): Mortierella Alpina Atcc 32222

SUBMITTER: Haiqin Chen

PROVIDER: PXD018202 | iProX | Wed Mar 25 00:00:00 GMT 2020

REPOSITORIES: iProX

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Publications

Time-resolved multi-omics analysis reveals the role of nutrient stress-induced resource reallocation for TAG accumulation in oleaginous fungus <i>Mortierella alpina</i>.

Lu Hengqian H Chen Haiqin H Tang Xin X Yang Qin Q Zhang Hao H Chen Yong Q YQ Chen Wei W

Biotechnology for biofuels 20200701

<h4>Background</h4>Global resource reallocation is an established critical strategy through which organisms deal with environmental stress. The regulation of intracellular lipid storage or utilization is one of the most important strategies for maintaining energy homeostasis and optimizing growth. Oleaginous microorganisms respond to nitrogen deprivation by inducing lipid hyper accumulation; however, the associations between resource allocation and lipid accumulation are poorly understood.<h4>Re ...[more]

PMID: 32625246

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Project description:Purpose: Tag-based approach for global gene expression analysis has been revolutionised with the advent of next generation sequencing (NGS) technology. The aim of the present study is to present comprehensive view of differentially expressed genes under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.) Methods: DeepSAGE, a tag based approach, was used to identify differentially expressed genes under cold and freeze treatments in seabuckthorn (Hippophae rhamnoides L.). The 30 days old plantlets, at six leaves stage, were subjected to cold stress (CS) at 4°C and freeze stress (FS) at -10°C treatment for 6 hr. The seedlings grown at 28°C were taken as control (CON). Total RNA from all the three samples was isolated. Illumina Gene Expression Sample Prep Kit and Solexa Sequencing Chip (Flowcell) were used for tag preparation and the main instruments used for sequencing included Illumina Cluster Station and Illumina HiSeqTM 2000 System. Bioinformatics analysis resulted in to high number of differentially expressed genes under cold and freeze stress. Results: 36.2 million raw tags including 13.9 million distinct tags were generated from three leaf tissue libraries (control, cold stress and freeze stress). After removing low quality tags, 35.5 million clean tags including 7 million distinct clean tags were obtained. In total, 11922 differentially expressed genes (DEGs) were identified including 6539 up regulated and 5383 down regulated genes. Conclusions: DeepSAGE data of seabuckthorn provided useful resource and reference dataset for further functional genomics analysis in seabuckthorn and other important crops. The present study implicated a large number of genes with different biological functions expressing differentially in response to cold and freeze stress treatment. Isolation and further characterization of these genes will help researchers in understanding their role in cold and freeze tolerance in seabuckthorn and may provide important gene resources to be exploited for the development of stress tolerant crop plants in future.

Dataset Information

A time-resolved multi-omics atlas of oleaginous fungus M. alpina in response to nitrogen availability

Publications

Time-resolved multi-omics analysis reveals the role of nutrient stress-induced resource reallocation for TAG accumulation in oleaginous fungus <i>Mortierella alpina</i>.

Similar Datasets

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