Evidence map›Paper›PMID 25136122›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Stimulation of growth by proteorhodopsin phototrophy involves regulation of central metabolic pathways in marine planktonic bacteria.

Joakim Palovaara, Neelam Akram, Federico Baltar, Carina Bunse, Jeremy Forsberg, Carlos Pedrós-Alió, José M González, Jarone Pinhassi

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

51 citing papers in PubMed, 118 citations in OpenAlex.

  1. Article
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  6. Effect of Light Regime onJournal of microbiology and biotechnology · 2024
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Rhodopsin driven microbial COEnvironmental microbiology · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Revealing COBiodesign research · 2022
    Article
  19. Article
  20. Review
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

8 authors at 3 institutions in 2 countries.

Joakim PalovaaraCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden;
Neelam AkramCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden;
Federico BaltarCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden;
Carina BunseCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden;
Jeremy ForsbergCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden;
Carlos Pedrós-AlióDepartment of Marine Biology and Oceanography, Institut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, ES-08003 Barcelona, Spain; and.
José M GonzálezDepartment of Microbiology, University of La Laguna, ES-38206 La Laguna, Spain.
Jarone PinhassiCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-39182 Kalmar, Sweden; jarone.pinhassi@Lnu.se.
Linnaeus University · SEConsejo Superior de Investigaciones Científicas · ESUniversidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteorhodopsin (PR) is present in half of surface ocean bacterioplankton, where its light-driven proton pumping provides energy to cells. Indeed, PR promotes growth or survival in different bacteria. However, the metabolic pathways mediating the light responses remain unknown. We analyzed growth of the PR-containing Dokdonia sp. MED134 (where light-stimulated growth had been found) in seawater with low concentrations of mixed [yeast extract and peptone (YEP)] or single (alanine, Ala) carbon compounds as models for rich and poor environments. We discovered changes in gene expression revealing a tightly regulated shift in central metabolic pathways between light and dark conditions. Bacteria showed relatively stronger light responses in Ala compared with YEP. Notably, carbon acquisition pathways shifted toward anaplerotic CO2 fixation in the light, contributing 31 ± 8% and 24 ± 6% of the carbon incorporated into biomass in Ala and YEP, respectively. Thus, MED134 was a facultative double mixotroph, i.e., photo- and chemotrophic for its energy source and using both bicarbonate and organic matter as carbon sources. Unexpectedly, relative expression of the glyoxylate shunt genes (isocitrate lyase and malate synthase) was >300-fold higher in the light--but only in Ala--contributing a more efficient use of carbon from organic compounds. We explored these findings in metagenomes and metatranscriptomes and observed similar prevalence of the glyoxylate shunt compared with PR genes and highest expression of the isocitrate lyase gene coinciding with highest solar irradiance. Thus, regulatory interactions between dissolved organic carbon quality and central metabolic pathways critically determine the fitness of surface ocean bacteria engaging in PR phototrophy.

Indexed as

Adaptation, PhysiologicalBicarbonatesBiomassCarbonCarbon DioxideFlavobacteriaceaeGene Expression Regulation, BacterialLightMarine BiologyMetabolic Networks and PathwaysPhototrophic ProcessesPlanktonRhodopsinRhodopsins, MicrobialSeawaterBicarbonatesCarbonCarbon DioxideproteorhodopsinRhodopsinRhodopsins, Microbialgene expression regulationmicrobial ecologyquantitative PCR

Identifiers

PMID25136122
PMCPMC4156726
OpenAlexW2089022174

What OpenQuestion holds

Textmetadata
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.