Evolutionary Divergence of Fibroblast Growth Factors Across Species: Insight into Functional Diversification

Open Access

Issue		BIO Web Conf. Volume 237, 2026 2026 8^th 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

M. Shimizu, R. Sato, Endocrine Fibroblast Growth Factors in Relation to Stress Signaling, Cells 11, 505 (2022) [Google Scholar]
N. Itoh, D.M. Ornitz, Evolution of the Fgf and Fgfr gene families, Trends Genet. 20, 563–569 (2004) [Google Scholar]
D. Gospodarowicz, K.L. Jones, G. Sato, Purification of a growth factor for ovarian cells from bovine pituitary glands, Proc. Natl. Acad. Sci. U.S.A. 71, 2295–2299 (1974) [Google Scholar]
M.E. Aase-Remedios, D.E.K. Ferrier, Improved Understanding of the Role of Gene and Genome Duplications in Chordate Evolution With New Genome and Transcriptome Sequences, Front. Ecol. Evol. 9, 703163 (2021) [Google Scholar]
D. Tomé, M.S. Dias, J. Correia, R.D. Almeida, Fibroblast growth factor signaling in axons: from development to disease, Cell Commun. Signal. 21, 290 (2023) [Google Scholar]
Y. Hattori, H. Yamada, H. Mori, S. Oba, K. Yokota, M. Omi, Y. Yamamoto, K. Toyama, M. Ohnaka, K. Takahashi, H. Imai, The effect of fibroblast growth factor 2 on neovascular vessels depends on the stage of angiogenesis, Heliyon 10, e39843 (2024) [Google Scholar]
F. Pei, L. Ma, T. Guo, M. Zhang, J. Jing, Q. Wen, J. Feng, J. Lei, J. He, E. Janečková, T.V. Ho, J.F. Chen, Y. Chai, Sensory nerve regulates progenitor cells via FGF-SHH axis in tooth root morphogenesis, Development 151, dev202043 (2024) [Google Scholar]
F. Pei, L. Ma, J. Jing, J. Feng, Y. Yuan, T. Guo, X. Han, T.V. Ho, J. Lei, J. He, M. Zhang, J.F. Chen, Y. Chai, Sensory nerve niche regulates mesenchymal stem cell homeostasis via FGF/mTOR/autophagy axis, Nat. Commun. 14, 344 (2023) [Google Scholar]
O. Edirisinghe, G. Ternier, T.K.S. Kumar, Pathology and Therapeutic Significance of Fibroblast Growth Factors, Targets 3, 5 (2025) [Google Scholar]
J.J. An, W.S. Eum, H.S. Kwon, J.S. Koh, S.Y. Lee, J.H. Baek, Y.J. Cho, D.W. Kim, K.H. Han, J. Park, Protective effects of skin permeable epidermal and fibroblast growth factor against ultraviolet‐induced skin damage and human skin wrinkles, J. Cosmet. Dermatol. 12, 287–295 (2013) [Google Scholar]
V.Y. Syromiatnikova, A.I. Kvon, I.G. Starostina, M.O. Gomzikova, Strategies to enhance the efficacy of FGF2-based therapies for skin wound healing, Arch. Dermatol. Res. 316, 405 (2024) [Google Scholar]
K.W. Mok, N. Saxena, N. Heitman, L. Grisanti, D. Srivastava, M.J. Muraro, T. Jacob, R. Sennett, Z. Wang, Y. Su, L.M. Yang, A. Ma’ayan, D.M. Ornitz, M. Kasper, M. Rendl, Dermal Condensate Niche Fate Specification Occurs Prior to Formation and Is Placode Progenitor Dependent, Dev. Cell 48, 32–48.e5 (2019) [Google Scholar]
M.K. Cho, W.J. Song, C.H. Kim, Fibroblast Growth Factor 4 (FGF4) Expression in Malignant Skin Cancers, Arch. Plast. Surg. 38, 217–221 (2011) [Google Scholar]
J.S. Rubin, H. Osada, P.W. Finch, W.G. Taylor, S. Rudikoff, S.A. Aaronson, Purification and characterization of a newly identified growth factor specific for epithelial cells, Proc. Natl. Acad. Sci. U.S.A. 86, 802–806 (1989) [Google Scholar]
S. Werner, Keratinocyte growth factor: a unique player in epithelial repair processes, Cytokine Growth Factor Rev. 9, 153–165 (1998) [Google Scholar]
B. Yuan, L. Miao, D. Mei, L. Li, Z. Hu, A Signature of Genes Featuring FGF11 Revealed Aberrant Fibroblast Activation and Immune Infiltration Properties in Keloid Tissue, Emerg. Med. Int. 2022, 4452687 (2022) [Google Scholar]
Y. Yu, Y. Shen, S. Zhang, N. Wang, L. Luo, X. Zhu, X. Xu, W. Cong, L. Jin, Z. Zhu, Suppression of Cutibacterium acnes-Mediated Inflammatory Reactions by Fibroblast Growth Factor 21 in Skin, Int. J. Mol. Sci. 23, 3589 (2022) [Google Scholar]
C. Chen, H. Chen, Y. Zhang, H.R. Thomas, M.H. Frank, Y. He, R. Xia, TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data, Mol. Plant 13, 1194–1202 (2020) [Google Scholar]
K. Tamura, G. Stecher, S. Kumar, F.U. Battistuzzi, MEGA11: Molecular Evolutionary Genetics Analysis Version 11, Mol. Biol. Evol. 38, 3022–3027 (2021) [CrossRef] [Google Scholar]
I. Letunic, P. Bork, Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool, Nucleic Acids Res. 52, W78–W82 (2024) [Google Scholar]
T.L. Bailey, M. Boden, F.A. Buske, M. Frith, C.E. Grant, L. Clementi, J. Ren, W.W. Li, W.S. Noble, MEME SUITE: tools for motif discovery and searching, Nucleic Acids Res. 37, W202–W208 (2009) [Google Scholar]
M. Yang, M.K. Derbyshire, R.A. Yamashita, A. Marchler-Bauer, NCBI’s Conserved Domain Database and Tools for Protein Domain Analysis, Curr. Protoc. Bioinform. 69, e90 (2020) [Google Scholar]
C. Chen, Y. Wu, R. Xia, A painless way to customize Circos plot: From data preparation to visualization using TBtools, iMeta 1, e35 (2022) [Google Scholar]
C. Chen, Y. Wu, J. Li, X. Wang, Z. Zeng, J. Xu, Y. Liu, J. Feng, H. Chen, Y. He, R. Xia, TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining, Mol. Plant 16, 1733–1742 (2023) [Google Scholar]
M. Law, D.R. Shaw, Mouse Genome Informatics (MGI) Is the International Resource for Information on the Laboratory Mouse, Eukaryotic Genomic Databases 1757, 141–161 (2018) [Google Scholar]
M. Calafiore, Y.Y. Fu, P. Vinci, V. Arnhold, W.Y. Chang, S.A. Jansen, A. Egorova, S. Takashima, J. Kuttiyara, T. Ito, J. Serody, S. Nakae, H. Turnquist, J. van Es, H. Clevers, C.A. Lindemans, B.R. Blazar, A.M. Hanash, A tissue-intrinsic IL-33/EGF circuit promotes epithelial regeneration after intestinal injury, Nat. Commun. 14, 5411 (2023) [Google Scholar]
H. Hu, Q. Sheng, F. Yang, X. Wu, Y. Zhang, S. Wu, Y. Liu, N. Hu, C. Fu, J. Leong, R. Deng, Z. Jiang, J. Chen, Z. Wang, C. Chen, F. Chen, Y. Luo, Y. Zeng, Y. Yu, H. Xie, G. Wang, L. Zou, Enhanced Skin Wound Healing Through Chemically Modified Messenger RNA Encoding Epidermal Growth Factor (EGF), Int. Wound J. 22, e70143 (2025) [Google Scholar]
J. Gong, G. Ding, Z. Hao, Y. Li, A. Deng, C. Zhang, Elucidating the mechanism of corneal epithelial cell repair: unraveling the impact of growth factors, Front. Med. 11, 1384500 (2024) [Google Scholar]
F. Cialdai, C. Risaliti, M. Monici, Role of fibroblasts in wound healing and tissue remodeling on Earth and in space, Front. Bioeng. Biotechnol. 10, 958381 (2022) [Google Scholar]
A. Stathopoulos, B. Tam, M. Ronshaugen, M. Frasch, M. Levine, pyramus and thisbe: FGF genes that pattern the mesoderm of Drosophila embryos, Genes Dev. 18, 687–699 (2004) [Google Scholar]
D.M. Ornitz, N. Itoh, Fibroblast growth factors, Genome Biol. 2, REVIEWS3005 (2001) [Google Scholar]
T.J. Wright, R. Ladher, J. McWhirter, C. Murre, G.C. Schoenwolf, S.L. Mansour, Mouse FGF15 is the ortholog of human and chick FGF19, but is not uniquely required for otic induction, Dev. Biol. 269, 264–275 (2004) [Google Scholar]
T. Beyer, Exp. Fibroblast growth factor 22 and its potential role during skin development and repair, Cell Res. 287, 228–236 (2003) [Google Scholar]
K. Xu, B. Chai, K. Zhang, J. Xiong, Y. Zhu, J. Xu, N. An, W. Xia, H. Ji, Y. Wu, H. Li, J. Xiao, Z. Feng, H. Zhang, Topical Application of Fibroblast Growth Factor 10-PLGA Microsphere Accelerates Wound Healing via Inhibition of ER Stress, Oxid. Med. Cell. Longev. 2020, 8586314 (2020) [Google Scholar]
A.A. Lian, Y. Yamaji, K. Kajiwara, K. Takaki, H. Mori, M.W.O. Liew, E. Kotani, R. Maruta, A Bioengineering Approach for the Development of Fibroblast Growth Factor-7-Functionalized Sericin Biomaterial Applicable for the Cultivation of Keratinocytes, Int. J. Mol. Sci. 23, 9953 (2022) [Google Scholar]
M. Kawano, A. Komi-Kuramochi, M. Asada, M. Suzuki, J. Oki, J. Jiang, T. Imamura, Comprehensive analysis of FGF and FGFR expression in skin: FGF18 is highly expressed in hair follicles and capable of inducing anagen from telogen stage hair follicles, J. Invest. Dermatol. 124, 877–885 (2005) [Google Scholar]

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.