Evidence map›Paper›PMID 36737668›Full record

ArticleISME communications2021

Generalizing game-changing species across microbial communities.

Jie Deng, Marco Tulio Angulo, Serguei Saavedra

Abstract read
In one paragraph

Article in ISME communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024
    Article
  4. Assembly archetypes in ecological communities.Journal of the Royal Society, Interface · 2023
    Article
  5. Article
  6. Towards a system-level causative knowledge of pollinator communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

3 authors.

Jie DengDepartment of Civil and Environmental Engineering, MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0604-7884
Marco Tulio AnguloCONACyT - Institute of Mathematics, Universidad Nacional Autónoma de México, Juriquilla, México. mangulo@im.unam.mx.
Serguei SaavedraDepartment of Civil and Environmental Engineering, MIT, Cambridge, MA, USA. sersaa@mit.edu.ORCID http://orcid.org/0000-0003-1768-363X

Funding

Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) A1-S-13909National Science Foundation (NSF) DEB-2024349
6 · The paper itself

Abstract

Microbes form multispecies communities that play essential roles in our environment and health. Not surprisingly, there is an increasing need for understanding if certain invader species will modify a given microbial community, producing either a desired or undesired change in the observed collection of resident species. However, the complex interactions that species can establish between each other and the diverse external factors underlying their dynamics have made constructing such understanding context-specific. Here we integrate tractable theoretical systems with tractable experimental systems to find general conditions under which non-resident species can change the collection of resident communities-game-changing species. We show that non-resident colonizers are more likely to be game-changers than transients, whereas game-changers are more likely to suppress than to promote resident species. Importantly, we find general heuristic rules for game-changers under controlled environments by integrating mutual invasibility theory with in vitro experimental systems, and general heuristic rules under changing environments by integrating structuralist theory with in vivo experimental systems. Despite the strong context-dependency of microbial communities, our work shows that under an appropriate integration of tractable theoretical and experimental systems, it is possible to unveil regularities that can then be potentially extended to understand the behavior of complex natural communities.

Identifiers

PMID36737668
PMCPMC9723773

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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.