| Issue |
BIO Web Conf.
Volume 237, 2026
2026 8th International Conference on Biotechnology and Biomedicine (ICBB 2026)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 10 | |
| Section | Molecular and Cellular Pathophysiology | |
| DOI | https://doi.org/10.1051/bioconf/202623701003 | |
| Published online | 10 June 2026 | |
Evolutionary Divergence of Fibroblast Growth Factors Across Species: Insight into Functional Diversification
Xi’an Jiaotong Liverpool University, XJTLU Wisdom Lake Academy of Pharmacy, Suzhou, 215000, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Comparing fibroblast growth factors (FGFs) across and within species and analyzing their expression at different stages of skin growth and development will enhance our understanding of their evolution and functions in skin biology. Twenty-two FGF genes were identified in Mus musculus by comparing the genomes of rodents, primates, and birds. Through phylogenetic analysis, gene structure analysis, and expression pattern assessment, the evolutionary differences and skin expression variations of the FGF gene family among species were explored. Despite the FGF gene family being highly conserved across evolutionary time, there are few instances of gene loss in birds. Moreover, significant expression differences were observed in the skin of rodents and primates, which may be linked to their evolutionary trajectories and environmental adaptations. The study also suggests FGFs and Epidermal Growth Factors (EGFs) may act synergistically in wound healing, with EGFs playing a crucial role in early stages. This research investigates the genetic architecture of the FGF gene family in Mus musculus, examines potential factors contributing to minimal gene loss and variations in skin expression across different species, and provides potential insights for further investigations into the functions of FGFs in skin.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

