Evidence map›Paper›PMID 35511982›Full record

ArticleScience (New York, N.Y.)2022

Idiosyncratic epistasis leads to global fitness-correlated trends.

Christopher W Bakerlee, Alex N Nguyen Ba, Yekaterina Shulgina, Jose I Rojas Echenique, Michael M Desai

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
15.7field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 87 citations in OpenAlex.

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  13. Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025
    Article
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  17. A new symbiotic, holistic and gradualist model proposal for the concept of "living organism".Theory in biosciences = Theorie in den Biowissenschaften · 2025
    Article
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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

5 authors at 1 institution in 2 countries.

Christopher W Bakerlee *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-0819-882X
Alex N Nguyen Ba *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-1357-6386
Yekaterina ShulginaDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-7658-9294
Jose I Rojas EcheniqueDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-9347-0647
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-9581-1150
Harvard University · US

Funding

Microbial Adaptation and the Statistics of Epistasis and PleiotropyR01GM104239 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M · 2013 to 2025
$4.5M
Identifying genetic code reassignments in nucleotide sequence databasesF31HG010984 · NHGRI · HARVARD UNIVERSITY · PI SHULGINA, YEKATERINA · 2020 to 2021
$65k
NHGRI NIH HHS F31 HG010984NIGMS NIH HHS R01 GM104239
6 · The paper itself

Abstract

Epistasis can markedly affect evolutionary trajectories. In recent decades, protein-level fitness landscapes have revealed extensive idiosyncratic epistasis among specific mutations. By contrast, other work has found ubiquitous and apparently nonspecific patterns of global diminishing-returns and increasing-costs epistasis among mutations across the genome. Here, we used a hierarchical CRISPR gene drive system to construct all combinations of 10 missense mutations from across the genome in budding yeast and measured their fitness in six environments. We show that the resulting fitness landscapes exhibit global fitness-correlated trends but that these trends emerge from specific idiosyncratic interactions. We thus provide experimental validation of recent theoretical work arguing that fitness-correlated trends can emerge as the generic consequence of idiosyncratic epistasis.

Indexed as

Biological EvolutionEpistasis, GeneticGenetic FitnessModels, GeneticMutation

Identifiers

PMID35511982
PMCPMC10124986
OpenAlexW4229017562

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.