Evidence map›Paper›PMID 41993064›Full record

ReviewmicroLife2026

Living together: evolutionary and ecological dimensions of protist endosymbiosis.

Anna Karnkowska, Iván García-Cunchillos, Marta Sałek

Abstract readReview
In one paragraph

Review in microLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anna KarnkowskaFaculty of Biology, Institute of Evolutionary Biology, University of Warsaw,  ul. Żwirki i Wigury 101, 02-089Warsaw, Poland.ORCID https://orcid.org/0000-0003-3709-7873
Iván García-CunchillosFaculty of Biology, Institute of Evolutionary Biology, University of Warsaw,  ul. Żwirki i Wigury 101, 02-089Warsaw, Poland.ORCID https://orcid.org/0000-0002-5830-7529
Marta SałekFaculty of Biology, Institute of Evolutionary Biology, University of Warsaw,  ul. Żwirki i Wigury 101, 02-089Warsaw, Poland.ORCID https://orcid.org/0000-0001-5570-3123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protists, which comprise the majority of eukaryotic diversity, frequently engage in endosymbiotic relationships with other unicellular eukaryotes or prokaryotes. These interactions have profoundly shaped eukaryotic evolution, not only through the origin of endosymbiotic organelles and the subsequent diversification of eukaryotes, but also via less studied endosymbioses that have influenced the evolution of diverse eukaryotic lineages. Endosymbioses often alter host metabolic capabilities, enabling the colonisation of new ecological niches and significantly contributing to ecosystem functioning. In recent years, interest in these interactions has increased, driven by methodological innovations and new discoveries that reveal the diversity, mechanisms, and ecological roles of protist endosymbioses. Despite these advances, key questions remain: How widespread and ecologically impactful are protist endosymbioses? What functions do symbionts provide, and how do associations form, persist, or break down? Addressing these questions requires systematic studies of protists in their natural environments, combining microscopy and sequencing using both high-throughput and single-cell approaches, along with experimental manipulations of host-symbiont interactions. Here, we review current knowledge, highlight recent breakthroughs, and discuss ongoing challenges in the study of protist endosymbioses.

Indexed as

anaerobiosisdiazotrophsmicrobial eukaryotesorganellogenesisphotosymbiosissymbiosis

Identifiers

PMID41993064
PMCPMC13080271

What OpenQuestion holds

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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.