Evidence map›Paper›PMID 32798972›Full record

ArticleiScience2020

GPCR Genes as Activators of Surface Colonization Pathways in a Model Marine Diatom.

Weiqi Fu, Amphun Chaiboonchoe, Bushra Dohai, Mehar Sultana, Kristos Baffour, Amnah Alzahmi, James Weston, Dina Al Khairy, Sarah Daakour, Ashish Jaiswal and 4 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 3 countries.

Weiqi FuLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Systems Biology and Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland. Electronic address: wf21@nyu.edu.
Amphun ChaiboonchoeLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
Bushra DohaiLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
Mehar SultanaCenter for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE.
Kristos BaffourLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
Amnah AlzahmiCenter for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE; Department of Biology, United Arab Emirates University (UAEU), Al Ain, UAE.
James WestonCore Technology Platforms, New York University Abu Dhabi, Abu Dhabi, UAE.
Dina Al KhairyLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
Sarah DaakourCenter for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE.
Ashish JaiswalLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
David R NelsonCenter for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE.
Alexandra MystikouCenter for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE.
Sigurdur BrynjolfssonCenter for Systems Biology and Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland.
Kourosh Salehi-AshtianiLaboratory of Algal, Systems, and Synthetic Biology (LASSB), Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE; Center for Genomics and Systems Biology (CGSB), New York University Research Institute, New York University Abu Dhabi, Abu Dhabi, UAE. Electronic address: ksa3@nyu.edu.
New York University · USNew York University Abu Dhabi · AEUniversity of Iceland · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface colonization allows diatoms, a dominant group of phytoplankton in oceans, to adapt to harsh marine environments while mediating biofoulings to human-made underwater facilities. The regulatory pathways underlying diatom surface colonization, which involves morphotype switching in some species, remain mostly unknown. Here, we describe the identification of 61 signaling genes, including G-protein-coupled receptors (GPCRs) and protein kinases, which are differentially regulated during surface colonization in the model diatom species, Phaeodactylum tricornutum. We show that the transformation of P. tricornutum with constructs expressing individual GPCR genes induces cells to adopt the surface colonization morphology. P. tricornutum cells transformed to express GPCR1A display 30% more resistance to UV light exposure than their non-biofouling wild-type counterparts, consistent with increased silicification of cell walls associated with the oval biofouling morphotype. Our results provide a mechanistic definition of morphological shifts during surface colonization and identify candidate target proteins for the screening of eco-friendly, anti-biofouling molecules.

Indexed as

GeneticsMicrobiology

Identifiers

PMID32798972
PMCPMC7452957
OpenAlexW3045583221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.