Evidence map›Paper›PMID 42447157›Full record

ArticlePLoS biology2026

Flight style and metabolism shape the tempo of genome evolution in birds.

Yanzhu Ji, Lei Wu, Dongming Li, Shaohong Feng, Qi Fang, Ying Xiong, Yongbin Chang, Jacob C Cooper, Xin Yu, Kai Zhang and 16 more

Abstract read
In one paragraph

Article in PLoS biology, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Yanzhu JiState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-0335-8652
Lei WuState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Dongming LiHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Normal University, Shijiazhuang, China.
Shaohong FengEvolutionary and Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China.
Qi FangBGI-Shenzhen, Shenzhen, China.
Ying XiongHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Normal University, Shijiazhuang, China.
Yongbin ChangHenan Engineering Research Center of Bird Collisions, Zhengzhou Normal University, Zhengzhou, China.
Jacob C CooperDepartment of Biology, University of Nebraska at Kearney, Kearney, Nebraska, United States of America.
Xin YuState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Kai ZhangHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Normal University, Shijiazhuang, China.
Shiyu TangState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Huishang SheState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Huan WangState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Dezhi ZhangState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Gang SongState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Ping FanCollege of Basic Medicine, Shaanxi University of Chinese Medicine, Xianyang, China.
Jiaogen ZhouSchool of Geography and Planning, Huaiyin Normal University, Huai'an City, China.
Liang MaState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Yanhua QuState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Chenxi JiaState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Catherine SheardSchool of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom.
James Andrew DeWoodyDepartments of Forestry & Natural Resources and Biological Sciences, Purdue University, West Lafayette, Indiana, United States of America.
Joseph A TobiasDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Guojie ZhangEvolutionary and Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, China.
Weiwei ZhaiState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-7938-0226
Fumin LeiState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-9920-8167

Funding

U of Kansas/Haskell Indian Nations U.IRACDA ProjectK12GM063651 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DE GUZMAN, ROBERTO N · 2002 to 2022
$10.0M
NIGMS NIH HHS K12 GM063651
6 · The paper itself

Abstract

As a hallmark of avian ecological innovation, powered flight has fundamentally shaped diverse aspects of birds. The energy demand of flight may have mutagenic impacts on genomes, influencing how fast genomes evolve. However, the relationship between flight, metabolism, and evolutionary rates remains relatively underexplored. Leveraging 363 newly available avian genomes from >90% of avian families, we quantified three distinct types of genomic evolutionary rates to capture a broad spectrum of mutational processes. By combining four flight-related traits and three metabolic metrics, we uncovered significant associations between flight style, metabolism, and multiple evolutionary rates. Next, using a causal inference framework, we demonstrated that metabolism accounted for 43.3% of the total effect between flight and evolutionary rate, underscoring its key role. Together, our findings establish a robust connection between flight, metabolism, and evolutionary rates, offering new insights into how key innovations and associated phenotypes shape the tempo of genome evolution.

Indexed as

BirdsEvolution, MolecularFlight, AnimalGenomeAnimalsBiological EvolutionEnergy MetabolismPhenotype

Identifiers

PMID42447157
PMCPMC13367715

What OpenQuestion holds

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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 OpenQuestion graph.