Author

J. Pinhassi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4 Ecology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Assay:metagenomics· 4 Approach:statistical model· 4 Research Focus:cell type annotation· 3 Research Focus:ecology & biodiversity· 3 Organism:bacteria (other)· 2 Approach:deep learning· 2 Research Focus:host-pathogen & immune response· 2

Frequent Co-Authors

C. Bunse· 3 shared A. G. Bravo· 2 shared A. L. Soerensen· 2 shared C. Feng· 2 shared C. Karlsson· 2 shared C. M. G. Osbeck· 2 shared D. Lundin· 2 shared E. Capo· 2 shared

Activity by Year

2020-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersEcology

C. Bunse

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Experimental assessment of marine microbial interactions: from predatory protists promoting bacterial survival to bacterial lysis of the protists

D. Axelsson-Olsson, N. Gubonin, S. Israelsson, J. Pinhassi

The paper systematically investigates interactions between marine bacteria and protists, revealing that some bacteria can survive, grow, or even lyse their protist predators.

bioRxiv · Feb 9, 2024 · PreprintMicrobiology

Quantification of metabolic niche occupancy dynamics in a Baltic Sea bacterial community

J. C. Massing, A. K. Fahimipour, C. Bunse, J. Pinhassi, T. Gross

The paper uses manifold learning to analyze a Baltic Sea bacterial time-series, revealing seasonal dynamics in metabolic niche occupancy.

bioRxiv · Aug 8, 2022Microbiology

Warmer temperatures favor slower-growing bacteria in natural marine communities

C. I. Abreu, M. Dal Bello, C. Bunse, J. Pinhassi, J. Gore

The paper shows that higher seawater temperatures favor slower-growing bacteria in marine communities, explaining their dominance in warm conditions.

bioRxiv · Jul 13, 2022Ecology

Abundance and expression of hgcAB genes and mercury availability jointly explain methylmercury formation in stratified brackish waters

E. Capo, C. Feng, A. G. Bravo, S. Bertilsson, A. L. Soerensen, J. Pinhassi, M. Buck, C. Karlsson, J. Hawkes, E. Björn

The paper investigates how hgcA gene abundance and HgII-sulfide concentrations predict methylmercury formation in stratified brackish waters.

bioRxiv · Feb 8, 2022 · PreprintEcology

Taxon-specific shifts in bacterial and archaeal transcription of dissolved organic matter cycling genes in a stratified fjord

B. pontiller, C. Perez-Martinez, C. Bunse, C. M. G. Osbeck, J. M. Gonzalez, D. Lundin, J. Pinhassi

The paper analyzes bacterial and archaeal transcription in a stratified fjord to show depth-related shifts in gene expression for organic matter processing and nutrient cycling.

bioRxiv · Jun 2, 2021Ecology

Single cell genomics reveals plastid-lacking Picozoa are close relatives of red algae

M. E. Schön, V. V. Zlatogursky, R. P. Singh, C. Poirier, S. Wilken, V. Mathur, J. F. H. Strassert, J. Pinhassi, A. Z. Worden, P. J. Keeling, T. J. G. Ettema, J. G. Wideman, F. Burki

The paper uses single-cell genomics and phylogenomics to show Picozoa are closely related to red algae but lack plastids, challenging existing views on plastid evolution.

bioRxiv · Apr 14, 2021Evolutionary Biology

Divergent gene expression responses in two Baltic Sea heterotrophic model bacteria to dinoflagellate dissolved organic matter

C. M. G. Osbeck, D. Lundin, C. Karlsson, J. E. Teikari, M. A. Moran, J. Pinhassi

This study compares gene expression responses of two Baltic Sea bacteria to dinoflagellate DOM, revealing distinct metabolic adaptations based on DOM source phase.

bioRxiv · Nov 23, 2020Microbiology

Marine snow as a habitat for microbial mercury methylators in the Baltic Sea

E. Capo, A. G. Bravo, A. L. Soerensen, S. Bertilsson, J. Pinhassi, C. Feng, A. F. Andersson, M. Buck, E. A. Bjorn

The paper identifies marine snow as a hotspot for mercury methylators in the Baltic Sea by analyzing metagenomic data from different environmental conditions.

bioRxiv · Mar 4, 2020 · PreprintMicrobiology