Evidence map›Paper›PMID 38895429›Full record

ArticlebioRxiv : the preprint server for biology2024

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

Bo Feng, Yonglin Li, Hongyue Liu, Jacob L Steenwyk, Kyle T David, Xiaolin Tian, Biyang Xu, Carla Gonçalves, Dana A Opulente, Abigail L LaBella and 11 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Bo FengInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 0009-0001-0443-299X
Yonglin LiGuangdong 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 0009-0008-2774-9106
Hongyue LiuInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 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 0000-0002-8436-595X
Kyle T DavidDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0001-9907-789X
Xiaolin TianInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 0009-0008-9529-3227
Biyang XuInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 0009-0007-0446-2885
Carla GonçalvesDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 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 0000-0003-3224-7510
Abigail L LaBellaDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0003-0068-6703
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 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 0000-0002-5477-4250
Shengyuan ShaoInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 0009-0001-4369-3551
Zhaohao ChenInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 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 0000-0002-7536-0508
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, 3584 Utrecht, The Netherlands.ORCID 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 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 0000-0001-5765-1419
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 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.ORCID 0000-0002-2879-6317
Yuanning LiInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 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
NIAID NIH HHS R01 AI153356
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 1,154 genomes from nearly all known species in the medically and technologically important yeast subphylum Saccharomycotina. We found that yeast gene family and genome evolution are distinct from plants, animals, and filamentous ascomycetes and are characterized by small genome sizes and smaller gene numbers but larger gene family sizes. 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.

Identifiers

PMID38895429
PMCPMC11185758

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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.