Evidence map›Paper›PMID 42275596›Full record

ArticleMolecular biology and evolution2026

Gene loss and compensatory evolution as a source of metabolic preadaptations.

Dorottya Kalapis, Károly Kovács, Dávid Balogh, Elvin Maharramov, Walliyulahi Ajibola, Olin K Silander, Tamás Fehér, Csaba Pál, Balázs Papp

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

9 authors.

Dorottya KalapisSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0002-5830-8249
Károly KovácsSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0003-3796-4172
Dávid BaloghSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0002-9823-0482
Elvin MaharramovSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0009-0008-2213-9755
Walliyulahi AjibolaSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0001-8081-4693
Olin K SilanderThe Liggins Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-4105-8316
Tamás FehérSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0001-9318-3640
Csaba PálSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0002-5187-9903
Balázs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, National Laboratory of Biotechnology, HUN-REN Biological Research Centre, Temesvári Krt. 62, Szeged 6726, Hungary.ORCID 0000-0003-3093-8852

Funding

European Research Council ERC-2023-ADG 101142626European Union's Horizon 2020 Research and Innovation Programme 739593HUN-REN TKCS-2024/66National Laboratory for Health Security RRF-2.3.1-21-2022-00006National Laboratory of Biotechnology 2022-2.1.1-NL-2022-00008National Research Development and Innovation 126506National Research Development and Innovation 129814National Research, Development and Innovation Office FK 128916National Research, Development and Innovation Office K146323
6 · The paper itself

Abstract

Gene loss is common, yet whether it is merely an evolutionary dead-end or can promote future adaptation to new environments remains debated. Here, we systematically tested whether harmful loss of metabolic genes, followed by compensatory evolution, generates preadaptations to alternative nutrients in Escherichia coli. Our analysis revealed a striking outcome beyond simple growth restoration, where repair of a genetic defect yielded growth exceeding the unperturbed wild type on carbon sources not encountered during evolution. Such latent growth gains occurred across multiple deletion backgrounds and carbon sources, with growth rate increases up to 46% relative to the wild type. In some cases, the corresponding ancestral deletion strain failed to grow on these carbon sources, indicating functional innovations relative to the deletion ancestor. Genetic reconstruction and transcriptomic profiling implicate regulatory reprogramming, particularly in carbon catabolite repression and nutrient uptake, as mechanisms underlying latent growth gains. In conclusion, evolutionary recovery from gene loss can rapidly produce preadaptations to future environments in the absence of direct selection.

Indexed as

Adaptation, BiologicalEscherichia coliEvolution, MolecularGene DeletionAdaptation, PhysiologicalBiological Evolutionadaptive laboratory evolutioncompensatory adaptationdeleterious mutationsevolutionary innovationexaptationlatent metabolic capacitypleiotropic fitness effects

Identifiers

PMID42275596
PMCPMC13298866

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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.