Evidence map›Paper›PMID 42067523›Full record

ArticleNature communications2026

Single-molecule kinetic exploration of functional sub-states in an evolving phosphotriesterase.

Morito Sakuma, Dhani Ram Mahato, Ferran Feixas, Colin J Jackson, Eiji Nakata, Sílvia Osuna, Nobuhiko Tokuriki

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Morito SakumaMichael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada. morito.sakuma@msl.ubc.ca.ORCID http://orcid.org/0000-0002-8804-9831
Dhani Ram MahatoInstitut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Girona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-1121-7761
Ferran FeixasInstitut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Girona, Catalonia, Spain.ORCID http://orcid.org/0000-0001-5147-0000
Colin J JacksonARC Centre of Excellence in Synthetic Biology, Research School of Biology, Australian National University, Acton, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0001-6150-3822
Eiji NakataInstitute of Advanced Energy, Kyoto University, Uji, Kyoto, Japan.
Sílvia OsunaInstitut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Girona, Catalonia, Spain.ORCID http://orcid.org/0000-0003-3657-6469
Nobuhiko TokurikiMichael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada. nobuhiko.tokuriki@ubc.ca.ORCID http://orcid.org/0000-0002-8235-1829

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN-2023-05135Human Frontier Science Program (HFSP) RGP0054/2020
6 · The paper itself

Abstract

Enzymes can exist in multiple stable functional states or sub-states, revealing substantial molecule-to-molecule heterogeneity in catalytic rates even within populations expressed from a clonal gene. Increasing evidence suggests that biological systems have evolved to exploit these functional sub-states to regulate reaction rates and enzyme multi-functionality or promiscuity. Thus, understanding such heterogeneity in evolutionary dynamics is central to elucidating the mechanisms underlying enzyme adaptability and evolvability. To address this, we analyze the evolutionary changes in functional sub-states using single-molecule kinetics. We measure the functional sub-states of wild-type phosphotriesterase (PTE) and 18 evolved variants spanning a trajectory from native PTE activity to promiscuous arylesterase function. This is further supported by an investigation into the conformational sub-states of selected variants using molecular dynamics simulations. Our results reveal that functional optimization is tightly coupled with the redistribution of underlying functional and conformational sub-states, particularly involving the open and closed dynamics of functionally essential loop 7. These findings provide direct evidence that enzyme evolution involves coordinated shifts in conformational heterogeneity and its functional manifestations, together shaping enzyme function.

Indexed as

Evolution, MolecularPhosphoric Triester HydrolasesKineticsMolecular Dynamics SimulationProtein ConformationPhosphoric Triester Hydrolases

Identifiers

PMID42067523
PMCPMC13342112

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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.