Evidence map›Paper›PMID 38537640›Full record

ArticleCell systems2024

Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors.

Anthony T Meger, Matthew A Spence, Mahakaran Sandhu, Dana Matthews, Jackie Chen, Colin J Jackson, Srivatsan Raman

Abstract read
In one paragraph

Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Anthony T MegerDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Matthew A SpenceResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia.
Mahakaran SandhuResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia.
Dana MatthewsResearch School of Biology, Australian National University, Canberra, ACT 2601, Australia.
Jackie ChenDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Colin J JacksonResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia; ARC Centre of Excellence for Innovations in Peptide & Protein Science, Research School of Chemistry, Australian National University, Canberra, ACT 2601, Australia; ARC Centre of Excellence for Innovations in Synthetic Biology, Research School of Chemistry, Australian National University, Canberra, ACT 2601, Australia. Electronic address: colin.jackson@anu.edu.au.
Srivatsan RamanDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: sraman4@wisc.edu.

Funding

Understanding molecular rules governing protein allostery by deep mutational scanningDP2GM132682 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI RAMAN, SRIVATSAN · 2018 to 2018
$2.1M
NIGMS NIH HHS DP2 GM132682
6 · The paper itself

Abstract

How a protein's function influences the shape of its fitness landscape, smooth or rugged, is a fundamental question in evolutionary biochemistry. Smooth landscapes arise when incremental mutational steps lead to a progressive change in function, as commonly seen in enzymes and binding proteins. On the other hand, rugged landscapes are poorly understood because of the inherent unpredictability of how sequence changes affect function. Here, we experimentally characterize the entire sequence phylogeny, comprising 1,158 extant and ancestral sequences, of the DNA-binding domain (DBD) of the LacI/GalR transcriptional repressor family. Our analysis revealed an extremely rugged landscape with rapid switching of specificity, even between adjacent nodes. Further, the ruggedness arises due to the necessity of the repressor to simultaneously evolve specificity for asymmetric operators and disfavors potentially adverse regulatory crosstalk. Our study provides fundamental insight into evolutionary, molecular, and biophysical rules of genetic regulation through the lens of fitness landscapes.

Indexed as

Phylogenyancestral sequence reconstructionASRdeep mutational scanningDMSepistasisfitness landscapeprotein evolutionsequence-function relationshipstranscription regulators

Identifiers

PMID38537640
PMCPMC11299162

What Socratic 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 Socratic graph.