Saccharomycotina yeasts defy long-standing macroecological patterns.

AI biogeography fungi latitudinal species gradient macroecology

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
05 Mar 2024
Historique:
medline: 27 2 2024
pubmed: 27 2 2024
entrez: 27 2 2024
Statut: ppublish

Résumé

The Saccharomycotina yeasts ("yeasts" hereafter) are a fungal clade of scientific, economic, and medical significance. Yeasts are highly ecologically diverse, found across a broad range of environments in every biome and continent on earth; however, little is known about what rules govern the macroecology of yeast species and their range limits in the wild. Here, we trained machine learning models on 12,816 terrestrial occurrence records and 96 environmental variables to infer global distribution maps at ~1 km

Identifiants

pubmed: 38412132
doi: 10.1073/pnas.2316031121
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2316031121

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI153356
Pays : United States

Déclaration de conflit d'intérêts

Competing interests statement:A.R. is a scientific consultant of LifeMine Therapeutics, Inc. The authors declare no other competing interests.

Auteurs

Kyle T David (KT)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235.

Marie-Claire Harrison (MC)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235.

Dana A Opulente (DA)

Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726.
Department of Biology, Villanova University, Villanova, PA 19085.

Abigail L LaBella (AL)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235.
Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223.

John F Wolters (JF)

Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726.

Xiaofan Zhou (X)

Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China.

Xing-Xing Shen (XX)

Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.

Marizeth Groenewald (M)

Westerdijk Fungal Biodiversity Institute, Utrecht 3584, The Netherlands.

Matt Pennell (M)

Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089.
Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089.

Chris Todd Hittinger (CT)

Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726.

Antonis Rokas (A)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235.

Classifications MeSH