Evidence map›Paper›PMID 40425814›Full record

ArticleMolecular systems biology2025

Unique trajectory of gene family evolution from genomic analysis of nearly all known species in an ancient yeast lineage.

Bo Feng, Yonglin Li, Biyang Xu, Hongyue Liu, Jacob L Steenwyk, Kyle T David, Xiaolin Tian, Carla Gonçalves, Dana A Opulente, Abigail L LaBella and 12 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Origin and Early Evolution of Fungi: Challenges, Inferences, and Principles.Annual review of cell and developmental biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Bo Feng *Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0001-0443-299X
Yonglin Li *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.ORCID http://orcid.org/0009-0008-2774-9106
Biyang Xu *Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0007-0446-2885
Hongyue LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0000-0002-4058-4990
Jacob L SteenwykHowards Hughes Medical Institute and the Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-8436-595X
Kyle T DavidDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.ORCID http://orcid.org/0000-0001-9907-789X
Xiaolin TianInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0008-9529-3227
Carla GonçalvesDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.ORCID http://orcid.org/0000-0002-0420-4970
Dana A OpulenteLaboratory 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, USA.ORCID http://orcid.org/0000-0003-3224-7510
Abigail L LaBellaDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.ORCID http://orcid.org/0000-0003-0068-6703
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.ORCID http://orcid.org/0000-0002-3013-9906
John F WoltersLaboratory 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, USA.ORCID http://orcid.org/0000-0002-5477-4250
Shengyuan ShaoInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0001-4369-3551
Zhaohao ChenInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0004-4281-8676
Kaitlin J FisherLaboratory 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, USA.ORCID http://orcid.org/0000-0002-7536-0508
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, Utrecht, 3584, The Netherlands.ORCID http://orcid.org/0000-0003-0835-5925
Chris Todd HittingerLaboratory 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, USA.ORCID http://orcid.org/0000-0001-5088-7461
Xing-Xing ShenKey Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China.ORCID http://orcid.org/0000-0001-5765-1419
Shengying LiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0000-0002-5244-870X
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA. antonis.rokas@vanderbilt.edu.ORCID http://orcid.org/0000-0002-7248-6551
Xiaofan ZhouGuangdong 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. xiaofan_zhou@scau.edu.cn.ORCID http://orcid.org/0000-0002-2879-6317
Yuanning LiInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China. yuanning.li@email.sdu.edu.cn.ORCID http://orcid.org/0000-0002-2206-5804

Funding

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
Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515010223DOE Great Lakes Bioenergy Research Center DOE BER Office of Science DE-SC0018409Life Sciences Research Foundation (LSRF) N/ANational Key R&D Program of China 2023YFA0915500National Natural Science Foundation of China 32260652National Natural Science Foundation of China 42376147National Science Foundation (NSF) DEB-2110403National Science Foundation (NSF) DEB-2110404NIAID NIH HHS R01 AI153356Ocean Negative Carbon Emissions (ONCE) Program N/AShandong Intramural Joint Program Fund of State Key Laboratory of Microbial Technology SKLMTIJP-2024-03Shandong Provincial Natural Science Foundation for Distinguished Young Scholars ZR2024JQ027USDA National Institute of Food and Agriculture Hatch Project 7005101
6 · The paper itself

Abstract

Gene gains and losses are a major driver of genome evolution; their precise characterization can provide insights into the origin and diversification of major lineages. Here, we examined gene family evolution of 1154 genomes from nearly all known species in the medically and technologically important yeast subphylum Saccharomycotina. We found that yeast gene family evolution differs from that of plants, animals, and filamentous ascomycetes, and is characterized by smaller overall gene numbers yet larger gene family sizes for a given gene number. Faster-evolving lineages (FELs) in yeasts experienced significantly higher rates of gene losses-commensurate with a narrowing of metabolic niche breadth-but higher speciation rates than their slower-evolving sister lineages (SELs). Gene families most often lost are those involved in mRNA splicing, carbohydrate metabolism, and cell division and are likely associated with intron loss, metabolic breadth, and non-canonical cell cycle processes. Our results highlight the significant role of gene family contractions in the evolution of yeast metabolism, genome function, and speciation, and suggest that gene family evolutionary trajectories have differed markedly across major eukaryotic lineages.

Indexed as

Evolution, MolecularGenome, FungalMultigene FamilyYeastsGenomicsPhylogenyComparative GenomicsFungiGene Family EvolutionYeast

Identifiers

PMID40425814
PMCPMC12322030

What Socratic holds

Textmetadata
LicenceCC BY
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.