Metabolomics

Dataset Information

0

Multi-Omic Insights into the Cellular Response of Phaeodactylum Tricornutum (Bacillariophyta) Strains under Grazing Pressure


ABSTRACT:

BACKGROUND/AIMS: Phaeodactylum tricornutum, a model organism of diatoms, plays a crucial role in Earth's primary productivity. Investigating its cellular response to grazing pressure is highly significant for the marine ecological environment. Furthermore, the integration of multi-omics approaches has enhanced the understanding of its response mechanism.

METHODS: To assess the molecular and cellular responses of P. tricornutum to grazer presence, we conducted transcriptomic, proteomic and metabolomic analyses, combined with phenotypic data from previous studies. Sequencing data were obtained by Illumina RNA sequencing, TMT Labeled Quantitative Proteomics and Non-targeted Metabolomics, and WGCNA analysis and statistical analysis were performed.

RESULTS: Among the differentially expressed genes, we observed complex expression patterns of the core genes involved in the phenotypic changes of P. tricornutum under grazing pressure across different strains and multi-omics datasets. These core genes primarily regulate the levels of various proteins and fatty acids, as well as the cellular response to diverse signals.

CONCLUSION: Our research reveals the association of multi-omics in four strains responses to grazing effects in P. tricornutum. Grazing pressure significantly impacted cell growth, fatty acid composition, stress response, and the core genes involved in phenotype transformation.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase, Liquid Chromatography MS - alternating - reverse phase, Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Chenqi Liu 

PROVIDER: MTBLS8485 | MetaboLights | 2023-12-29

REPOSITORIES: MetaboLights

Dataset's files

Source:

Similar Datasets

2020-03-30 | E-MTAB-8565 | biostudies-arrayexpress
2021-11-01 | E-MTAB-8621 | biostudies-arrayexpress
2016-08-24 | E-GEOD-50430 | biostudies-arrayexpress
2024-09-21 | GSE277254 | GEO
2017-06-01 | PXD006293 | Pride
2016-08-24 | GSE50430 | GEO
2022-08-30 | PXD031347 | Pride
2023-10-31 | E-MTAB-7799 | biostudies-arrayexpress
| EGAS00001004895 | EGA
2015-09-09 | E-GEOD-72783 | biostudies-arrayexpress