Evidence map›Paper›PMID 39663511›Full record

ArticleIntegrative zoology2025

Insight Into Body Size Evolution in Aves: Based on Some Body Size-Related Genes.

Chaoyang Luo, Xionghui Xu, Chengfa Zhao, Qiuping Wang, Rongxing Wang, Datian Lang, Juan Zhang, Wenxian Hu, Yuan Mu

Abstract read
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Article in Integrative zoology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chaoyang LuoInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Xionghui XuInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Chengfa ZhaoInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Qiuping WangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Rongxing WangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Datian LangDepartment of Agronomy and Life Science, Zhaotong University, Zhaotong, Yunnan, China.
Juan ZhangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.
Wenxian HuErhai Watershed Ecological Environment Quality Testing Engineering Research Center of Yunnan Provincial Universities, Erhai Research Institute, West Yunnan University of Applied Sciences, Dali, Yunnan, China.
Yuan MuInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birds exhibit remarkable variations in body size, making them an ideal group for the study of adaptive evolution. However, the genetic mechanisms underlying body size evolution in avian species remain inadequately understood. This study investigates the evolutionary patterns of avian body size by analyzing 15 body-size-related genes, including GHSR, IGF2BP1, and IGFBP7 from the growth hormone/insulin-like growth factor axis, EIF2AK3, GALNS, NCAPG, PLOD1, and PLAG1 associated with tall stature, and ACAN, OBSL1, and GRB10 associated with short stature, four genes previously reported in avian species: ATP11A, PLXDC2, TNS3, and TUBGCP3. The results indicate significant adaptive evolution of body size-related genes across different avian lineages. Notably, in the IGF2BP1 gene, a significant positive correlation was observed between the evolutionary rate and body size, suggesting that larger bird species exhibit higher evolutionary rates of the IGF2BP1 gene. Furthermore, the IGFBP7 and PLXDC2 genes demonstrated accelerated evolution in large- and medium-sized birds, respectively, indicating distinct evolutionary patterns for these genes among birds of different sizes. The branch-site model analysis identified numerous positively selected sites, primarily concentrated near functional domains, thereby reinforcing the critical role of these genes in body size evolution. Interestingly, extensive convergent evolution was detected in lineages with larger body sizes. This study elucidates the genetic basis of avian body size evolution for the first time, identifying adaptive evolutionary patterns of body size-related genes across birds of varying sizes and documenting patterns of convergent evolution. These findings provide essential genetic data and novel insights into the adaptive evolution of body size in birds.

Indexed as

Biological EvolutionBirdsBody SizeAnimalsEvolution, MolecularPhylogenybody sizeconvergent/parallel evolutioncorrelationpositive selection

Identifiers

PMID39663511
PMCPMC12618961

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