Dataset Information

Metaproteomic insights into two phytoplankton

ABSTRACT: we applied a metaproteomic approach to investigate the global protein expression profiles of two co-existing phytoplankton species H. akashiwo and P. donghaiense during their bloom periods, and characterized the differentially expressed proteins. Our results indicated different light-harvesting ability and nutritional niche divergence in utilization of carbon, nitrogen and phosphorus drove bloom occurrence of the two phytoplankton species under different ambient conditions.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Heterosigma Akashiwo

SUBMITTER: He Yanbin

LAB HEAD: Siqi Liu

PROVIDER: PXD014327 | Pride | 2020-03-12

REPOSITORIES: Pride

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Publications

Functional Differences in the Blooming Phytoplankton Heterosigma akashiwo and Prorocentrum donghaiense Revealed by Comparative Metaproteomics.

Zhang Hao H He Yan-Bin YB Wu Peng-Fei PF Zhang Shu-Feng SF Xie Zhang-Xian ZX Li Dong-Xu DX Lin Lin L Chen Feng F Wang Da-Zhi DZ

Applied and environmental microbiology 20190917 19

Phytoplankton blooms are natural phenomena in the ocean, which are the results of rapid cell growth of some phytoplankton species in a unique environment. However, little is known about the molecular events occurring during the bloom. Here, we compared metaproteomes of two phytoplankton Heterosigma akashiwo and Prorocentrum donghaiense in the coastal East China Sea. H. akashiwo and P. donghaiense accounted for 7.82% and 4.74% of the phytoplankton community protein abu ...[more]

PMID: 31375486

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Project description:Marine phytoplankton are a diverse group of photoautotrophic organisms and key mediators in the global carbon cycle. Phytoplankton physiology and biomass accumulation are closely tied to mixed layer depth, but the intracellular metabolic pathways activated in response to changing mixed layer depths remain unexplored. Here, metatranscriptomics was used to characterize the phytoplankton community response to a mixed layer shallowing from 233 meters to 5 meters over the course of two days during the late spring in the Northwest Atlantic. Most phytoplankton genera downregulated core photosynthesis, carbon storage, and carbon fixation genes as the system transitioned from a deep to a shallow mixed layer and shifted towards catabolism of stored carbon ic pathways supportive of rapid cell growth. In contrast, phytoplankton genera exhibited divergent transcriptional strategies for photosystem light harvesting complex genes during this transition. Active infection, taken as the ratio of virus to host transcripts, increased in the Bacillariophyta (diatom) phylum and decreased in the Chlorophyta (green algae) phylum upon mixed layer shallowing. A conceptual model is proposed to provide ecophysiological context for our findings, in which light limitation during deep mixing induces populations into a transcriptional state which maximizes interrupts the oscillating levels of transcripts related to photosynthesis, carbon storage, and carbon fixation found in shallow mixed layers with relatively higher growth rates. We propose that upon sensing high light levels during mixed layer shallowing, phytoplankton resume diel oscillation of core sets of genes enabling photoprotection, biosynthesis and cell replication. Our findings highlight the shared and unique transcriptional response strategies within phytoplankton communities acclimating to the dynamic light environment associated with transient deep mixing and shallowing events during the annual North Atlantic bloom.

Dataset Information

Metaproteomic insights into two phytoplankton

Publications

Functional Differences in the Blooming Phytoplankton Heterosigma akashiwo and Prorocentrum donghaiense Revealed by Comparative Metaproteomics.

Similar Datasets

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