Evidence map›Paper›PMID 41986609›Full record

ArticleCommunications biology2026

Heritable variation drives rapid evolution of thermal performance curves in the protist Tetrahymena thermophila.

Megan H Liu, Ze-Yi Han, Yaning Yuan, Katrina DeWitt, Daniel J Wieczynski, Kathryn M Yammine, Andrea Yammine, Rebecca A Zufall, Adam M Siepielski, Douglas L Chalker and 3 more

Abstract read
In one paragraph

Article in Communications biology, 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

13 authors.

Megan H LiuDepartment of Biology, Duke University, Durham, NC, USA. mhliu58@gmail.com.ORCID http://orcid.org/0009-0009-9815-0720
Ze-Yi HanDepartment of Biology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-5552-8636
Yaning YuanDepartment of Biology, Duke University, Durham, NC, USA.
Katrina DeWittDepartment of Biology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0009-0001-0087-2381
Daniel J WieczynskiDepartment of Biology, Duke University, Durham, NC, USA.
Kathryn M YammineDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Andrea YammineDepartment of Biology, Duke University, Durham, NC, USA.
Rebecca A ZufallDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Adam M SiepielskiDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.ORCID http://orcid.org/0000-0002-9864-743X
Douglas L ChalkerDepartment of Biology, Washington University, Saint Louis, MI, USA.ORCID http://orcid.org/0000-0002-0285-3344
Masayuki OnishiDepartment of Biology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-9799-4501
Fabio A MachadoDepartment of Integrative Biology, Oklahoma State University, Stillwater, OK, USA.ORCID http://orcid.org/0000-0002-0215-9926
Jean P GibertDepartment of Biology, Duke University, Durham, NC, USA. jean.gibert@duke.edu.ORCID http://orcid.org/0000-0002-5083-6418

Funding

A Resource Center for Tetrahymena ThermophilaP40OD010964 · OD · WASHINGTON UNIVERSITY · PI DOUGLAS LEE CHALKER · 2012 to 2026
$6.5M
NIH HHS P40 OD010964
6 · The paper itself

Abstract

Microbial respiration is a key biotic driver of climate change. Warming boosts microbial population growth, which increases biomass and respiration, potentially leading to more warming. This feedback might be disrupted by adaptation in thermal performance curves (TPCs) -whose shape describes how temperature drives growth. In this study, we uncover substantial genetic variation (G) in the intrinsic population growth rates (r) of the protist Tetrahymena thermophila, demonstrate a causal link between heritable variation in r and heritable variation in TPC shape, and show how this variation constrains predicted r-TPC shape evolution along specific evolutionary paths across temperatures. We also uncover Gene-by-Environment (G × E) variation in r, which results in specific signatures in TPC shape and predictable temperature-dependent TPC evolution that can erode heritable variation, thus reducing future evolutionary potential. Overall, we show how temperature-dependent evolution in microbial TPC shape-a linchpin of global ecosystem function-is determined by a combination of heritable and non-heritable variation in intrinsic growth rates.

Indexed as

Biological EvolutionGenetic VariationTetrahymena thermophilaClimate ChangeTemperature

Identifiers

PMID41986609
PMCPMC13385369

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.