Genome-Wide Identification of S1fa Transcription Factors in Brassica napus and Screening of Key Genes BnaS1fa9 and BnaS1fa10 Responsive to Salt, Heat and Cold Stresses
Abstract
1. Introduction
2. Results
2.1. Identification and Characterization of the S1fa Gene Family in B. napus
2.2. Phylogenetic Analysis of BnaS1fa Genes
2.3. Motif Analysis, Gene Structure Analysis and Protein Tertiary Structure Prediction of BnaS1fa Genes
2.4. Prediction of Cis-Acting Elements in the Promoters of BnaS1fa Genes
2.5. Chromosomal Localization and Intraspecific Collinearity Analysis of BnaS1fa Genes
2.6. Analysis of Tissue Expression Specificity and Expression Patterns Under Abiotic Stresses of BnaS1fa Genes
2.7. Validation of BnaS1fa Genes Responses to Abiotic Stresses by qPCR
2.8. BnaS1fa9 and BnaS1fa10 Are Nuclear-Localized Transcription Factors
3. Discussion
4. Materials and Methods
4.1. Identification of BnaS1fa Genes
4.2. Construction of the BnaS1fa Phylogenetic Tree
4.3. Motif Prediction and Gene Structure Analysis of BnaS1fa Genes
4.4. Prediction of Cis-Acting Elements in the Promoters of BnaS1fa Genes
4.5. Chromosomal Localization of BnaS1fa Genes
4.6. Tissue Expression Specificity and Heat Stress Expression Pattern Analysis of BnaS1fa Genes Based on Transcriptome Data
4.7. Plant Materials and Growth Conditions
4.8. RT-qPCR Analysis of BnaS1fa Expression Patterns Under Abiotic Stresses
4.9. Subcellular Localization
4.10. Analysis of Transcriptional Activation Activity of Transcription Factors
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Zhao, H.; Niu, Y.; Dong, H.; Jia, Y.; Wang, Y. Characterization of the Function of Two S1Fa-Like Family Genes From Populus trichocarpa. Front. Plant Sci. 2021, 12, 753099. [Google Scholar] [CrossRef]
- Anwar, A.; Liu, Y.; Dong, R.; Bai, L.; Yu, X.; Li, Y. The Physiological and Molecular Mechanism of Brassinosteroid in Response to Stress: A Review. Biol. Res. 2018, 51, 46. [Google Scholar] [CrossRef]
- Nuruzzaman, M.; Sharoni, A.M.; Kikuchi, S. Roles of NAC Transcription Factors in the Regulation of Biotic and Abiotic Stress Responses in Plants. Front. Microbiol. 2013, 4, 248. [Google Scholar] [CrossRef]
- Anwar, A.; Kim, J.-K. Transgenic Breeding Approaches for Improving Abiotic Stress Tolerance: Recent Progress and Future Perspectives. Int. J. Mol. Sci. 2020, 21, 2695. [Google Scholar] [CrossRef]
- Cheng, Y.; Liang, C.; Qiu, Z.; Zhou, S.; Liu, J.; Yang, Y.; Wang, R.; Yin, J.; Ma, C.; Cui, Z.; et al. Jasmonic Acid Negatively Regulates Branch Growth in Pear. Front. Plant Sci. 2023, 14, 1105521. [Google Scholar] [CrossRef]
- Liu, C.; Jiang, X.; Liu, S.; Liu, Y.; Li, H.; Wang, Z.; Kan, J.; Yang, Q.; Li, X. Comprehensive Evolutionary Analysis of the SMXL Gene Family in Rosaceae: Further Insights into Its Origin, Expansion, Diversification, and Role in Regulating Pear Branching. Int. J. Mol. Sci. 2024, 25, 2971. [Google Scholar] [CrossRef]
- Li, J.; Han, G.; Sun, C.; Sui, N. Research Advances of MYB Transcription Factors in Plant Stress Resistance and Breeding. Plant Signal. Behav. 2019, 14, 1613131. [Google Scholar] [CrossRef]
- Sun, S.; Chen, H.; Yang, Z.; Lu, J.; Wu, D.; Luo, Q.; Jia, J.; Tan, J. Identification of WRKY Transcription Factor Family Genes in Pinus massoniana lamb. and Their Expression Patterns and Functions in Response to Drought Stress. BMC Plant Biol. 2022, 22, 424. [Google Scholar] [CrossRef]
- Grądzka, K.; Biegańska, M.; Koczyk, G.; Młodzińska, A.; Pawłowicz, I.; Kiełbowicz-Matuk, A. CHIP-Seq and Transcriptomics Reveal a New Role of Circadian-Regulated StBBX24 Protein in Potato Reproduction. BMC Plant Biol. 2025, 25, 1702. [Google Scholar] [CrossRef]
- Wang, C.; Lan, M.; Xiao, M.; Peng, Y.; Pan, H.; Deng, J.; Wu, W. Genome-Wide Identification of GATA Family Genes in Sweet Potato (Ipomoea batatas L.) and Their Expression Patterns under Abiotic Stress. Front. Genet. 2025, 16, 1635749. [Google Scholar] [CrossRef]
- Xu, S.; Feng, H.; Li, T.; Zhang, Y.; Wu, Z.; Sun, G.; Teng, N. Genome-Wide Analysis of the WRKY Gene Family in Lily and Functional Characterization of LdWRKY87 in Response to Heat Stress. New Crops 2026, 3, 100084. [Google Scholar] [CrossRef]
- Ding, X.; Guo, J.; Lv, M.; Wang, H.; Sheng, Y.; Liu, Y.; Gai, J.; Yang, S. The miR156b–GmSPL2b Module Mediates Male Fertility Regulation of Cytoplasmic Male Sterility-based Restorer Line under High-temperature Stress in Soybean. Plant Biotechnol. J. 2023, 21, 1542–1559. [Google Scholar] [CrossRef]
- Liu, C.; Fan, E.; Liu, Y.; Wang, M.; Wang, Q.; Wang, S.; Chen, S.; Yang, C.; You, X.; Qu, G. Genome-Wide Identification and Analysis of the EIN3/EIL Transcription Factor Gene Family in Doubled Haploid (DH) Poplar. Int. J. Mol. Sci. 2024, 25, 4116. [Google Scholar] [CrossRef]
- Sun, S.; Liu, X.; Zhang, T.; Yang, H.; Yu, B. Functional Characterisation of the Transcription Factor GsWRKY23 Gene from Glycine Soja in Overexpressed Soybean Composite Plants and Arabidopsis under Salt Stress. Plants 2023, 12, 3030. [Google Scholar] [CrossRef]
- Song, X.; Hou, X.; Zeng, Y.; Jia, D.; Li, Q.; Gu, Y.; Miao, H. Genome-Wide Identification and Comprehensive Analysis of WRKY Transcription Factor Family in Safflower during Drought Stress. Sci. Rep. 2023, 13, 16955. [Google Scholar] [CrossRef]
- Zhang, Y.; Zheng, J.; Linyerera, S.M.; Magwanga, R.O.; Hou, Y.; Wang, Y.; Xu, Y.; Khan, A.; Yu, S.; Zhou, Z.; et al. Overexpression and Knockdown of Cotton GhdadD Gene Reveals Its Drought and Salt Stress Tolerance Role. iScience 2024, 27, 108664. [Google Scholar] [CrossRef]
- Chen, X.; Li, H.; Pandey, M.K.; Yang, Q.; Wang, X.; Garg, V.; Li, H.; Chi, X.; Doddamani, D.; Hong, Y.; et al. Draft Genome of the Peanut A-Genome Progenitor (Arachis duranensis) Provides Insights into Geocarpy, Oil Biosynthesis, and Allergens. Proc. Natl. Acad. Sci. USA 2016, 113, 6785–6790. [Google Scholar] [CrossRef]
- Zhou, D.-X.; Bisanz-Seyer, C.; Mache, R. Molecular Cloning of a Small DNA Binding Protein with Specificity for a Tissue-Specific Negative Element within the Rps 1 Promoter. Nucleic Acids Res. 1995, 23, 1165–1169. [Google Scholar] [CrossRef]
- Wang, T.; Zou, H.; Ren, S.; Jin, B.; Lu, Z. Genome-Wide Identification, Characterization, and Expression Analysis of NF-Y Gene Family in Ginkgo Biloba Seedlings and GbNF-YA6 Involved in Heat-Stress Response and Tolerance. Int. J. Mol. Sci. 2023, 24, 12284. [Google Scholar] [CrossRef]
- Zhou, D.-X.; Li, Y.-F.; Rocipon, M. Sequence-specificInteraction between S l F, a Spinach Nuclear Factor, and a Negative &-Element Conserved in Plastid-relatedGenes. J. Biol. Chem. 1992, 267, 23515–23519. [Google Scholar]
- Kim, S.-I.; Lee, K.H.; Kwak, J.S.; Kwon, D.H.; Song, J.T.; Seo, H.S. Overexpression of Rice OsS1Fa1 Gene Confers Drought Tolerance in Arabidopsis. Plants 2021, 10, 2181. [Google Scholar] [CrossRef]
- Anwar, A.; Zhang, S.; Wang, L.-X.; Wang, F.; He, L.; Gao, J. Genome-Wide Identification and Characterization of Chinese Cabbage S1fa Transcription Factors and Their Roles in Response to Salt Stress. Antioxidants 2022, 11, 1782. [Google Scholar] [CrossRef] [PubMed]
- Gill, S.S.; Tuteja, N. Reactive Oxygen Species and Antioxidant Machinery in Abiotic Stress Tolerance in Crop Plants. Plant Physiol. Biochem. 2010, 48, 909–930. [Google Scholar] [CrossRef]
- Li, P.; Du, R.; Li, Z.; Chen, Z.; Li, J.; Du, H. An Integrated Nitrogen Utilization Gene Network and Transcriptome Analysis Reveal Candidate Genes in Response to Nitrogen Deficiency in Brassica napus. Front. Plant Sci. 2023, 14, 1187552. [Google Scholar] [CrossRef]
- Liang, Y.; Wan, N.; Cheng, Z.; Mo, Y.; Liu, B.; Liu, H.; Raboanatahiry, N.; Yin, Y.; Li, M. Whole-Genome Identification and Expression Pattern of the Vicinal Oxygen Chelate Family in Rapeseed (Brassica napus L.). Front. Plant Sci. 2017, 8, 745. [Google Scholar] [CrossRef]
- Chalhoub, B.; Denoeud, F.; Liu, S.; Parkin, I.A.P.; Tang, H.; Wang, X.; Chiquet, J.; Belcram, H.; Tong, C.; Samans, B.; et al. Early Allopolyploid Evolution in the Post-Neolithic Brassica napus Oilseed Genome. Science 2014, 345, 950–953. [Google Scholar] [CrossRef]
- Ali, E.; Hussain, S.; Jalal, F.; Khan, M.A.; Imtiaz, M.; Said, F.; Ismail, M.; Khan, S.; Ali, H.M.; Hatamleh, A.A.; et al. Salicylic Acid-Mitigates Abiotic Stress Tolerance via Altering Defense Mechanisms in Brassica napus (L.). Front. Plant Sci. 2023, 14, 1187260. [Google Scholar] [CrossRef]
- Dong, Q.; Magwanga, R.O.; Cai, X.; Lu, P.; Nyangasi Kirungu, J.; Zhou, Z.; Wang, X.; Wang, X.; Xu, Y.; Hou, Y.; et al. RNA-Sequencing, Physiological and RNAi Analyses Provide Insights into the Response Mechanism of the ABC-Mediated Resistance to Verticillium Dahliae Infection in Cotton. Genes 2019, 10, 110. [Google Scholar] [CrossRef] [PubMed]
- Chosyang, S.; Arya, P.; Kaur, M.; Singh, B. Comparative Analysis of the Aquaporin Gene Family in Cucurbitaceae: Insights into Evolutionary Patterns and Functional Diversity. BMC Plant Biol. 2026, 26, 297. [Google Scholar] [CrossRef]
- Eerapagula, R.; Singh, A.; Maurya, A.; Singh, R.; Singh, N.K.; Mahato, A.K. Genome-Wide Analysis of NAC Transcription Factors in Grain Amaranth Reveals Structural Diversity and Regulatory Features. Sci. Rep. 2025, 15, 39968. [Google Scholar] [CrossRef] [PubMed]
- Yu, W.; Kong, G.; Ya, H.; He, L.; Wu, Y.; Zhang, H. Comprehensive Analysis of the Catalase (CAT) Gene Family and Expression Patterns in Rubber Tree (Hevea brasiliensis) under Various Abiotic Stresses and Multiple Hormone Treatments. Int. J. Mol. Sci. 2023, 25, 70. [Google Scholar] [CrossRef] [PubMed]
- Qi, S.; Liu, S.; Wen, Y.; Zhang, X.; Mu, H. Analysis of Expansin Genes in Cucurbitaceae and Identification of Candidate Genes for Stress Resistance. Sci. Rep. 2025, 15, 36163. [Google Scholar] [CrossRef]
- Yu, H.; Liao, J.; Jiang, Y.; Zhong, M.; Tao, S.; Chai, S.; Wang, L.; Lin, L.; Yang, R.; Deng, X.; et al. Ecotype-specific Phenolic Acid Accumulation and Root Softness in Salvia miltiorrhiza Are Driven by Environmental and Genetic Factors. Plant Biotechnol. J. 2025, 23, 2224–2241. [Google Scholar] [CrossRef] [PubMed]
- Fernández-Roldán, P.; Moreno-Recio, M.D.; Spadoni-Revol, F.; Molina-Hidalgo, F.J.; Caballero, J.L.; Muñoz-Blanco, J.; Blanco-Portales, R.; Moyano, E. Genome-Wide Identification and Expression Analysis of Tubby-like Proteins (TLPs) in Fragaria × Ananassa Reveals Their Role in Abiotic Stress Responses. Genes 2026, 17, 158. [Google Scholar] [CrossRef]
- Ezoe, A.; Shirai, K.; Hanada, K. Degree of Functional Divergence in Duplicates Is Associated with Distinct Roles in Plant Evolution. Mol. Biol. Evol. 2021, 38, 1447–1459. [Google Scholar] [CrossRef]
- Chen, E.C.; Buen Abad Najar, C.F.; Zheng, C.; Brandts, A.; Lyons, E.; Tang, H.; Carretero-Paulet, L.; Albert, V.A.; Sankoff, D. The Dynamics of Functional Classes of Plant Genes in Rediploidized Ancient Polyploids. BMC Bioinform. 2013, 14, S19. [Google Scholar] [CrossRef][Green Version]
- Hajheidari, M.; Koncz, C.; Bucher, M. Chromatin Evolution-Key Innovations Underpinning Morphological Complexity. Front. Plant Sci. 2019, 10, 454. [Google Scholar] [CrossRef]
- Wu, Y.; Wen, J.; Xia, Y.; Zhang, L.; Du, H. Evolution and Functional Diversification of R2R3-MYB Transcription Factors in Plants. Hortic. Res. 2022, 9, uhac058. [Google Scholar] [CrossRef]
- Duran, B.O.S.; Garcia De La Serrana, D.; Zanella, B.T.T.; Perez, E.S.; Mareco, E.A.; Santos, V.B.; Carvalho, R.F.; Dal-Pai-Silva, M. An Insight on the Impact of Teleost Whole Genome Duplication on the Regulation of the Molecular Networks Controlling Skeletal Muscle Growth. PLoS ONE 2021, 16, e0255006. [Google Scholar] [CrossRef]
- Lee, J.H.; Jin, S.; Kim, S.Y.; Kim, W.; Ahn, J.H. A Fast, Efficient Chromatin Immunoprecipitation Method for Studying Protein-DNA Binding in Arabidopsis Mesophyll Protoplasts. Plant Methods 2017, 13, 42. [Google Scholar] [CrossRef] [PubMed]
- Chen, H.; Wang, T.; He, X.; Cai, X.; Lin, R.; Liang, J.; Wu, J.; King, G.; Wang, X. BRAD V3.0: An Upgraded Brassicaceae Database. Nucleic Acids Res. 2022, 50, D1432–D1441. [Google Scholar] [CrossRef] [PubMed]
- Reiser, L.; Proia, A.; Bakker, E.; Subramaniam, S.; Khosa, K.; Sawant, S.; Chen, X.; Prithvi, T.; Berardini, T.Z. Recent Major Changes to TAIR: Updates to the Database, Website, and Arabidopsis Genome. Genetics 2026, 232, iyaf248. [Google Scholar] [CrossRef]
- Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.L.; Tosatto, S.C.E.; Paladin, L.; Raj, S.; Richardson, L.J.; et al. Pfam: The Protein Families Database in 2021. Nucleic Acids Res. 2021, 49, D412–D419. [Google Scholar] [CrossRef]
- Ye, J.; McGinnis, S.; Madden, T.L. BLAST: Improvements for Better Sequence Analysis. Nucleic Acids Res. 2006, 34, W6–W9. [Google Scholar] [CrossRef]
- Finn, R.D.; Clements, J.; Eddy, S.R. HMMER Web Server: Interactive Sequence Similarity Searching. Nucleic Acids Res. 2011, 39, W29–W37. [Google Scholar] [CrossRef] [PubMed]
- Duvaud, S.; Gabella, C.; Lisacek, F.; Stockinger, H.; Ioannidis, V.; Durinx, C. Expasy, the Swiss Bioinformatics Resource Portal, as Designed by Its Users. Nucleic Acids Res. 2021, 49, W216–W227. [Google Scholar] [CrossRef]
- Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree 2—Approximately Maximum-Likelihood Trees for Large Alignments. PLoS ONE 2010, 5, e9490. [Google Scholar] [CrossRef]
- Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v6: Recent Updates to the Phylogenetic Tree Display and Annotation Tool. Nucleic Acids Res. 2024, 52, W78–W82. [Google Scholar] [CrossRef]
- Hu, B.; Jin, J.; Guo, A.-Y.; Zhang, H.; Luo, J.; Gao, G. GSDS 2.0: An Upgraded Gene Feature Visualization Server. Bioinformatics 2015, 31, 1296–1297. [Google Scholar] [CrossRef]
- Lescot, M. PlantCARE, a Database of Plant Cis-Acting Regulatory Elements and a Portal to Tools for in Silico Analysis of Promoter Sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
- Chen, C.; Wu, Y.; Li, J.; Wang, X.; Zeng, Z.; Xu, J.; Liu, Y.; Feng, J.; Chen, H.; He, Y.; et al. TBtools-II: A “One for All, All for One” Bioinformatics Platform for Biological Big-Data Mining. Mol. Plant 2023, 16, 1733–1742. [Google Scholar] [CrossRef]
- Yang, Z.; Wang, S.; Wei, L.; Huang, Y.; Liu, D.; Jia, Y.; Luo, C.; Lin, Y.; Liang, C.; Hu, Y.; et al. BnIR: A Multi-Omics Database with Various Tools for Brassica Napus Research and Breeding. Mol. Plant 2023, 16, 775–789. [Google Scholar] [CrossRef]









| Sequence ID | Number of Amino Acid | Molecular Weight | Theoretical pI | Instability Index | Aliphatic Index | Grand Average of Hydropathicity |
|---|---|---|---|---|---|---|
| BnaA01g32090D | 73 | 8068.82 | 10.11 | 21.31 | 106.71 | −0.149 |
| BnaA03g30540D | 70 | 7731.49 | 10.34 | 31.43 | 109.86 | −0.169 |
| BnaA04g04820D | 758 | 82,257.48 | 7.67 | 39.69 | 85.87 | −0.137 |
| BnaA05g28810D | 73 | 8054.75 | 10.06 | 28.36 | 105.34 | −0.138 |
| BnaA09g33670D | 76 | 8324.03 | 10.05 | 24.56 | 98.68 | −0.150 |
| BnaAnng24190D | 76 | 8144.84 | 10.06 | 26.06 | 102.5 | −0.045 |
| BnaC01g39000D | 73 | 8068.82 | 10.11 | 21.31 | 106.71 | −0.149 |
| BnaC03g35850D | 73 | 8038.71 | 10.12 | 26.88 | 105.34 | −0.116 |
| BnaC04g27370D | 743 | 80,601.76 | 7.98 | 36.69 | 86.42 | −0.107 |
| BnaC05g43280D | 73 | 8040.72 | 10.06 | 27.2 | 105.34 | −0.138 |
| BnaC06g14570D | 76 | 8144.84 | 10.06 | 26.06 | 102.5 | −0.045 |
| BnaCnng30990D | 76 | 8306 | 10.05 | 24.56 | 103.82 | −0.125 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Qi, R.; Mi, M.; Xu, C.; Guo, Q.; Dong, Y.; Chen, J.; Wei, J.; Dang, R.; Wu, Z.; Dong, B.; et al. Genome-Wide Identification of S1fa Transcription Factors in Brassica napus and Screening of Key Genes BnaS1fa9 and BnaS1fa10 Responsive to Salt, Heat and Cold Stresses. Plants 2026, 15, 1808. https://doi.org/10.3390/plants15121808
Qi R, Mi M, Xu C, Guo Q, Dong Y, Chen J, Wei J, Dang R, Wu Z, Dong B, et al. Genome-Wide Identification of S1fa Transcription Factors in Brassica napus and Screening of Key Genes BnaS1fa9 and BnaS1fa10 Responsive to Salt, Heat and Cold Stresses. Plants. 2026; 15(12):1808. https://doi.org/10.3390/plants15121808
Chicago/Turabian StyleQi, Ruisheng, Min Mi, Chunmiao Xu, Qingfan Guo, Yun Dong, Jingjing Chen, Jianye Wei, Renmei Dang, Zhaonan Wu, Bo Dong, and et al. 2026. "Genome-Wide Identification of S1fa Transcription Factors in Brassica napus and Screening of Key Genes BnaS1fa9 and BnaS1fa10 Responsive to Salt, Heat and Cold Stresses" Plants 15, no. 12: 1808. https://doi.org/10.3390/plants15121808
APA StyleQi, R., Mi, M., Xu, C., Guo, Q., Dong, Y., Chen, J., Wei, J., Dang, R., Wu, Z., Dong, B., Ma, H., & Ma, Z. (2026). Genome-Wide Identification of S1fa Transcription Factors in Brassica napus and Screening of Key Genes BnaS1fa9 and BnaS1fa10 Responsive to Salt, Heat and Cold Stresses. Plants, 15(12), 1808. https://doi.org/10.3390/plants15121808
