Evidence map›Paper›PMID 39034691›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

From nets to networks: tools for deciphering phytoplankton metabolic interactions within communities and their global significance.

Charlotte Nef, Juan José Pierella Karlusich, Chris Bowler

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Connected interactions: enriching food web research by spatial and social interactions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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

3 authors.

Charlotte NefInstitut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, Paris 75005, France.ORCID 0000-0002-9446-6367
Juan José Pierella KarlusichFAS Division of Science, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-1739-4424
Chris BowlerInstitut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, Paris 75005, France.ORCID 0000-0003-3835-6187

Funding

Agence Nationale de la RechercheFonds Français pour l'Environnement MondialHorizon 2020 Framework ProgrammeHORIZON EUROPE European Research CouncilSimons FoundationUniversité de Recherche Paris Sciences et Lettres
6 · The paper itself

Abstract

Our oceans are populated with a wide diversity of planktonic organisms that form complex dynamic communities at the base of marine trophic networks. Within such communities are phytoplankton, unicellular photosynthetic taxa that provide an estimated half of global primary production and support biogeochemical cycles, along with other essential ecosystem services. One of the major challenges for microbial ecologists has been to try to make sense of this complexity. While phytoplankton distributions can be well explained by abiotic factors such as temperature and nutrient availability, there is increasing evidence that their ecological roles are tightly linked to their metabolic interactions with other plankton members through complex mechanisms (e.g. competition and symbiosis). Therefore, unravelling phytoplankton metabolic interactions is the key for inferring their dependency on, or antagonism with, other taxa and better integrating them into the context of carbon and nutrient fluxes in marine trophic networks. In this review, we attempt to summarize the current knowledge brought by ecophysiology, organismal imaging,

Indexed as

Food ChainPhytoplanktonEcosystembiotic interactionsmetagenomicsphytoplanktonsymbiosesTara oceans

Identifiers

PMID39034691
PMCPMC11293860

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.