Evidence map›Paper›PMID 37745407›Full record

ArticlebioRxiv : the preprint server for biology2023

Diverse signatures of convergent evolution in cacti-associated yeasts.

Carla Gonçalves, Marie-Claire Harrison, Jacob L Steenwyk, Dana A Opulente, Abigail L LaBella, John F Wolters, Xiaofan Zhou, Xing-Xing Shen, Marizeth Groenewald, Chris Todd Hittinger and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Carla GonçalvesVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Marie-Claire HarrisonVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Jacob L SteenwykVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Dana A OpulenteLaboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institu te, University of Wisconsin-Madison, Madison, WI 53726, USA.
Abigail L LaBellaVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
John F WoltersLaboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institu te, University of Wisconsin-Madison, Madison, WI 53726, USA.
Xiaofan ZhouVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Xing-Xing ShenVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, 3584 Utrecht, The Netherlands.
Chris Todd HittingerLaboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institu te, University of Wisconsin-Madison, Madison, WI 53726, USA.
Antonis RokasVanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America.
Vanderbilt University · USUniversity of Wisconsin–Madison · USGreat Lakes Bioenergy Research Center · USHoward Hughes Medical Institute · USSouth China Agricultural University · CNUniversity of North Carolina at Charlotte · USWesterdijk Fungal Biodiversity Institute · NL

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
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
NHGRI NIH HHS T32 HG002760NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

Many distantly related organisms have convergently evolved traits and lifestyles that enable them to live in similar ecological environments. However, the extent of phenotypic convergence evolving through the same or distinct genetic trajectories remains an open question. Here, we leverage a comprehensive dataset of genomic and phenotypic data from 1,049 yeast species in the subphylum Saccharomycotina (Kingdom Fungi, Phylum Ascomycota) to explore signatures of convergent evolution in cactophilic yeasts, ecological specialists associated with cacti. We inferred that the ecological association of yeasts with cacti arose independently ~17 times. Using machine-learning, we further found that cactophily can be predicted with 76% accuracy from functional genomic and phenotypic data. The most informative feature for predicting cactophily was thermotolerance, which is likely associated with duplication and altered evolutionary rates of genes impacting the cell envelope in several cactophilic lineages. We also identified horizontal gene transfer and duplication events of plant cell wall-degrading enzymes in distantly related cactophilic clades, suggesting that putatively adaptive traits evolved through disparate molecular mechanisms. Remarkably, multiple cactophilic lineages and their close relatives are emerging human opportunistic pathogens, suggesting that the cactophilic lifestyle-and perhaps more generally lifestyles favoring thermotolerance-may preadapt yeasts to cause human disease. This work underscores the potential of a multifaceted approach involving high throughput genomic and phenotypic data to shed light onto ecological adaptation and highlights how convergent evolution to wild environments could facilitate the transition to human pathogenicity.

Indexed as

adaptive evolutioncactophilyconvergent evolutionmachine learningpathogenicitythermotoleranceyeast ecology

Identifiers

PMID37745407
PMCPMC10515907
OpenAlexW4386811770

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.