Evidence map›Paper›PMID 37098061›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Marginal specificity in protein interactions constrains evolution of a paralogous family.

Dia A Ghose, Kaitlyn E Przydzial, Emily M Mahoney, Amy E Keating, Michael T Laub

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  8. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  10. Symmetry facilitated the evolution of heterospecificity and high-order stoichiometry in vertebrate hemoglobin.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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.

Dia A GhoseDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0009-0001-4040-630X
Kaitlyn E PrzydzialDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.
Emily M MahoneyDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0009-0006-4862-5028
Amy E KeatingDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-4074-8980
Michael T LaubDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-8288-7607

Funding

Howard Hughes Medical Institute (HHMI) Investigator
6 · The paper itself

Abstract

The evolution of novel functions in biology relies heavily on gene duplication and divergence, creating large paralogous protein families. Selective pressure to avoid detrimental cross-talk often results in paralogs that exhibit exquisite specificity for their interaction partners. But how robust or sensitive is this specificity to mutation? Here, using deep mutational scanning, we demonstrate that a paralogous family of bacterial signaling proteins exhibits marginal specificity, such that many individual substitutions give rise to substantial cross-talk between normally insulated pathways. Our results indicate that sequence space is locally crowded despite overall sparseness, and we provide evidence that this crowding has constrained the evolution of bacterial signaling proteins. These findings underscore how evolution selects for "good enough" rather than optimized phenotypes, leading to restrictions on the subsequent evolution of paralogs.

Indexed as

Evolution, MolecularEscherichia coliEscherichia coli ProteinsMutationPhylogenySignal TransductionEscherichia coli Proteinsgene duplicationparalogous proteinsprotein evolutionprotein-protein interactionssignal transduction

Identifiers

PMID37098061
PMCPMC10160972

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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.