Evidence map›Paper›PMID 39492761›Full record

ArticleMolecular biology and evolution2024

Specialization Restricts the Evolutionary Paths Available to Yeast Sugar Transporters.

Johnathan G Crandall, Xiaofan Zhou, Antonis Rokas, Chris Todd Hittinger

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. The Macroevolution of Filamentation Morphology Across thebioRxiv : the preprint server for biology · 2025
    Article
  4. Maltose and Maltotriose Transporters in Brewer'sInternational journal of molecular sciences · 2025
    Review
  5. Convergent expansions of keystone gene families drive metabolic innovation in Saccharomycotina yeasts.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Johnathan G CrandallLaboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA.ORCID 0000-0002-9144-3135
Xiaofan ZhouGuangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-2879-6317
Antonis RokasDepartment of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-7248-6551
Chris Todd HittingerLaboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA.ORCID 0000-0001-5088-7461

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
Burroughs Wellcome FundDOE Great Lakes Bioenergy Research Center DOE BER Office of Science DE-SC0018409H. I. Romnes Faculty FellowshipNational Institute of Food and Agriculture, US Department of Agriculture, Hatch 1020204National Science Foundation DEB-2110403National Science Foundation Graduate Research Fellowship Program DGE-1747503NIAID NIH HHS R01 AI153356NIGMS NIH HHS T32 GM007133NIH HHS T32GM007133Office of the Vice Chancellor for Research and Graduate EducationWisconsin Alumni Research Foundation
6 · The paper itself

Abstract

Functional innovation at the protein level is a key source of evolutionary novelties. The constraints on functional innovations are likely to be highly specific in different proteins, which are shaped by their unique histories and the extent of global epistasis that arises from their structures and biochemistries. These contextual nuances in the sequence-function relationship have implications both for a basic understanding of the evolutionary process and for engineering proteins with desirable properties. Here, we have investigated the molecular basis of novel function in a model member of an ancient, conserved, and biotechnologically relevant protein family. These Major Facilitator Superfamily sugar porters are a functionally diverse group of proteins that are thought to be highly plastic and evolvable. By dissecting a recent evolutionary innovation in an α-glucoside transporter from the yeast Saccharomyces eubayanus, we show that the ability to transport a novel substrate requires high-order interactions between many protein regions and numerous specific residues proximal to the transport channel. To reconcile the functional diversity of this family with the constrained evolution of this model protein, we generated new, state-of-the-art genome annotations for 332 Saccharomycotina yeast species spanning ∼400 My of evolution. By integrating phylogenetic and phenotypic analyses across these species, we show that the model yeast α-glucoside transporters likely evolved from a multifunctional ancestor and became subfunctionalized. The accumulation of additive and epistatic substitutions likely entrenched this subfunction, which made the simultaneous acquisition of multiple interacting substitutions the only reasonably accessible path to novelty.

Indexed as

Evolution, MolecularSaccharomycesMonosaccharide Transport ProteinsPhylogenyMonosaccharide Transport Proteinsgene conversiongene duplicationlager yeastmaltosemaltotrioseMFSsubfunctionalizationsugar transporter

Identifiers

PMID39492761
PMCPMC11571961

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Registered trials

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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.