Evidence map›Paper›PMID 34541831›Full record

ArticleEnvironmental microbiology reports2021

Scaling down the microbial loop: data-driven modelling of growth interactions in a diatom-bacterium co-culture.

Giulia Daly, Elena Perrin, Carlo Viti, Marco Fondi, Alessandra Adessi

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2021. 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. Review
  2. 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

5 authors.

Giulia DalyDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine, Florence, 18, Italy.
Elena PerrinDepartment of Biology, University of Florence, Via Madonna del Piano 6, Sesto F.no, Florence, Italy.
Carlo VitiDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine, Florence, 18, Italy.
Marco FondiDepartment of Biology, University of Florence, Via Madonna del Piano 6, Sesto F.no, Florence, Italy.ORCID 0000-0001-9291-5467
Alessandra AdessiDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine, Florence, 18, Italy.ORCID 0000-0002-6144-644X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An intricate set of interactions characterizes marine ecosystems. One of the most important is represented by the microbial loop, which includes the exchange of dissolved organic matter (DOM) from phototrophic organisms to heterotrophic bacteria. Here, it can be used as the major carbon and energy source. This interaction is one of the foundations of the entire ocean food-web. The carbon fixed by phytoplankton can be redirected to bacteria in two main ways; either (i) bacteria feed on dead phytoplankton cells or (ii) DOM is actively released by phytoplankton (a process resulting in up to 50% of the fixed carbon leaving the cell). Here, we have set up a co-culture of the diatom Phaeodactylum tricornutum and the chemoheterotrophic bacterium Pseudoalteromonas haloplanktis TAC125 and used this system to study the interactions between these two representatives of the microbial loop. We show that the bacterium can thrive on diatom-derived carbon and that this growth can be sustained by both diatom dead cells and diatom-released compounds. These observations were formalized in a network of putative interactions between P. tricornutum and P. haloplanktis and implemented in a model that reproduces the observed co-culture dynamics, revealing an overall accuracy of our hypotheses in explaining the experimental data.

Indexed as

DiatomsCoculture TechniquesEcosystemHeterotrophic ProcessesPhytoplankton

Identifiers

PMID34541831
PMCPMC9293018

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.