Submitted:
25 June 2026
Posted:
25 June 2026
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Abstract
Antarctic microorganisms experience persistent subzero temperatures and repeated freeze–thaw cycles that require specialized mechanisms for survival. Although transcriptomic studies have identified numerous cold-responsive genes, many remain annotated as hypothetical proteins with unknown functions. In this study, we investigated PL002-1792, a strongly upregulated hypothetical protein from Antarctic Flavobacterium sp. PL002 identified under severe cold stress (−20 °C versus −6 °C; log₂ fold change = 5.61, adjusted p = 1.89 × 10⁻¹³⁸). Sequence analysis revealed a 402-amino-acid protein containing a predicted Sec/SPII lipoprotein signal peptide. AlphaFold3 prediction generated a high-confidence structural model (pTM = 0.96) with an elongated β-sheet-rich architecture resembling bacterial ice-binding proteins. Comparative analysis with the ice-binding protein from Flavobacterium frigoris (FfIBP) identified conserved glycine-rich and TXT-like motifs associated with putative ice-binding surfaces. Recombinant PL002-1792 was expressed in Escherichia coli, recovered from inclusion bodies, and successfully refolded into a predominantly β-sheet-rich conformation as confirmed by circular dichroism spectroscopy. Functional assays demonstrated moderate ice recrystallisation inhibition activity, reducing relative ice crystal mean grain size to approximately 90% of the control, and significantly enhanced freeze–thaw survival, with recombinant cells retaining 67% viability after three freeze–thaw cycles compared with 27% for the empty-vector control. These findings identify PL002-1792 as a novel antifreeze-like protein and highlight the utility of structure-guided approaches for uncovering previously uncharacterized cold-adaptation mechanisms in polar microorganisms.
Keywords:
1. Introduction
2. Materials and Methods
2.1. Bacterial strain and Identification
2.2. Identification of a Cold-Responsive Candidate Protein
2.3. Signal Peptide and Motif Analysis
2.4. Homology Search Against Known Proteins
2.5. Structural prediction
2.6. Structure validation
2.7. Structural Comparison with Known Antifreeze Proteins
2.8. Identification of Putative Ice-Binding Surface
2.9. Recombinant expression
2.10. Protein refolding and structural validation
2.11. SDS-PAGE and Circular Dichroism Spectroscopy
2.12. Ice Recrystallisation Inhibition Assay
2.13. Freeze–Thaw Protection Assay
3. Results
3.1. Genome Features and Identification of a Cold-Responsive Candidate Protein
3.2. Sequence Analysis and Physicochemical Properties of PL002-1792
3.3. Signal Peptide Prediction and Conserved Motif Analysis of PL002-1792
3.4. Structural Prediction and Comparative Analysis of PL002-1792
3.5. Recombinant Expression of PL002-1792
3.6. Recovery and Refolding of Recombinant PL002-1792
3.7. Structural Validation of Refolded PL002-1792
3.8. Ice Recrystallisation Inhibition Activity of PL002-1792
3.9. PL002-1792 Enhances Freeze–Thaw Tolerance
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| MDPI | Multidisciplinary Digital Publishing Institute |
| DOAJ | Directory of open access journals |
| TLA | Three letter acronym |
| LD | Linear dichroism |
References
- Yoon, J.; Lee, H.; Han, Y.; et al. Environmental gradients shape microbial community structure and ecosystem processes in Antarctic lakes on King George Island. Sci. Rep. 2025, 15, 37519. [Google Scholar] [CrossRef] [PubMed]
- Jiang, P.; Li, Q.; Liu, B.; Liang, W. Effect of cryoprotectant-induced intracellular ice formation and crystallinity on bacteria during cryopreservation. Cryobiology 2023, 113, 104786. [Google Scholar] [CrossRef] [PubMed]
- Li, X.; Qian, S.; Song, Y.; Guo, Y.; Huang, F.; Han, D.; Zhang, C.; Blecker, C. New insights into the mechanism of freeze-induced damage based on ice crystal morphology and exudate proteomics. Food Res. Int. 2022, 161, 111757. [Google Scholar] [CrossRef] [PubMed]
- Choudhary, P.; Bhatt, S.; Chatterjee, S. From freezing to functioning: Cellular strategies of cold-adapted bacteria for surviving in extreme environments. Arch. Microbiol. 2024, 206, 329. [Google Scholar] [CrossRef] [PubMed]
- Furhan, J. Adaptation, production, and biotechnological potential of cold-adapted proteases from psychrophiles and psychrotrophs: Recent overview. J. Genet. Eng. Biotechnol. 2020, 18, 36. [Google Scholar] [CrossRef] [PubMed]
- Liu, Q.; Liu, H.-C.; Zhou, Y.-G.; Xin, Y.-H. Microevolution and adaptive strategy of psychrophilic species Flavobacterium bomense sp. nov. isolated from glaciers. Front. Microbiol. 2019, 10, 1069. [Google Scholar] [CrossRef] [PubMed]
- Montuori, E.; Saggiomo, M.; Lauritano, C. Microalgae from cold environments and their possible biotechnological applications. Mar. Drugs 2023, 21, 292. [Google Scholar] [CrossRef] [PubMed]
- Wu, X.; Yao, F.; Zhang, H.; Li, J. Antifreeze proteins and their biomimetics for cell cryopreservation: Mechanism, function and application—A review. Int. J. Biol. Macromol. 2021, 192, 1276–1291. [Google Scholar] [CrossRef] [PubMed]
- Arai, T.; Yamauchi, A.; Yang, Y.; et al. Adsorption of ice-binding proteins onto whole ice crystal surfaces does not necessarily confer a high thermal hysteresis activity. Sci. Rep. 2022, 12, 15443. [Google Scholar] [CrossRef] [PubMed]
- Ghalamara, S.; Silva, S.; Brazinha, C.; et al. Structural diversity of marine anti-freezing proteins, properties and potential applications: A review. Bioresour. Bioprocess. 2022, 9, 5. [Google Scholar] [CrossRef] [PubMed]
- Rahman, A.T.; Arai, T.; Yamauchi, A.; et al. Ice recrystallization is strongly inhibited when antifreeze proteins bind to multiple ice planes. Sci. Rep. 2019, 9, 2212. [Google Scholar] [CrossRef] [PubMed]
- Lopes, J.C.; Kinasz, C.T.; Luiz, A.M.C.; Kreusch, M.G.; Duarte, R.T.D. Frost fighters: Unveiling the potential of microbial antifreeze proteins in biotech innovation. J. Appl. Microbiol. 2024, 135, lxae140. [Google Scholar] [CrossRef] [PubMed]
- Tomalty, H.E.; Graham, L.A.; Eves, R.; Gruneberg, A.K.; Davies, P.L. Laboratory-scale isolation of insect antifreeze protein for cryobiology. Biomolecules 2019, 9, 180. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Z.; Liu, W.; Huang, Y.; Li, P. Research progress on plant anti-freeze proteins. Phyton 2024, 93, 1263–1274. [Google Scholar] [CrossRef]
- Górniak, D.; Świątecki, A.; Kowalik, J.; et al. High antagonistic activity and antibiotic resistance of flavobacteria of polar microbial freshwater mats on King George Island in maritime Antarctica. Sci. Rep. 2025, 15, 13615. [Google Scholar] [CrossRef] [PubMed]
- Králová, S.; et al. Flavobacterium flabelliforme sp. nov. and Flavobacterium geliluteum sp. nov., two multidrug-resistant psychrotrophic species isolated from Antarctica. Front. Microbiol. 2021, 12, 729977. [Google Scholar] [CrossRef] [PubMed]
- Králová, S.; et al. Flavobacterium chryseum sp. nov. and Flavobacterium psychroterrae sp. nov., novel environmental bacteria isolated from Antarctica. Int. J. Syst. Evol. Microbiol. 2018, 68, 2952–2959. [Google Scholar] [CrossRef] [PubMed]
- Xu, M.; et al. Flavobacterium sinopsychrotolerans sp. nov., isolated from a glacier. Int. J. Syst. Evol. Microbiol. 2011, 61, 2038–2042. [Google Scholar] [CrossRef] [PubMed]
- Liu, Q.; Liu, H.-C.; Zhou, Y.-G.; Xin, Y.-H. Microevolution and adaptive strategy of psychrophilic species Flavobacterium bomense sp. nov. isolated from glaciers. Front. Microbiol. 2019, 10, 1069. [Google Scholar] [CrossRef] [PubMed]
- Ijaq, J.; Chandra, D.; Ray, M.K.; Jagannadham, M.V. Investigating the functional role of hypothetical proteins from an Antarctic bacterium Pseudomonas sp. Lz4W: Emphasis on identifying proteins involved in cold adaptation. Front. Genet. 2022, 13, 825269. [Google Scholar] [CrossRef] [PubMed]
- Liu, W.; Cong, B.; Lin, J.; et al. Taxonomic identification and temperature stress tolerance mechanisms of Aequorivita marisscotiae sp. nov. Commun. Biol. 2023, 6, 1186. [Google Scholar] [CrossRef] [PubMed]
- Masnoddin, M.; Ling, C.M.W.V.; Yusof, N.A. Functional analysis of conserved hypothetical proteins from the Antarctic bacterium Pedobacter cryoconitis strain BG5 reveals protein cold adaptation and thermal tolerance strategies. Microorganisms 2022, 10, 1654. [Google Scholar] [CrossRef] [PubMed]
- Vincent, A.T. Bacterial hypothetical proteins may be of functional interest. Front. Bacteriol. 2024, 3, 1334712. [Google Scholar] [CrossRef]
- Jumper, J.; Evans, R.; Pritzel, A.; et al. Highly accurate protein structure prediction with AlphaFold. Nature 2021, 596, 583–589. [Google Scholar] [CrossRef] [PubMed]
- Pan, H.; Wu, Z.; Liu, W.; Zhang, G. AlphaFun: Structural-alignment-based proteome annotation reveals why the functionally unknown proteins (uPE1) are so understudied. J. Proteome Res. 2024, 23, 1593–1602. [Google Scholar] [CrossRef] [PubMed]
- Zhang, J.; Wang, S.; Gao, L.; Li, Q. Deep learning revolutionizes protein research: Advances in structure prediction, functional annotation, and engineered design. J. Biotechnol. 2026, 414, 91–110. [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] [PubMed]
- Gasteiger, E.; Hoogland, C.; Gattiker, A.; Duvaud, S.; Wilkins, M.R.; Appel, R.D.; Bairoch, A. Protein identification and analysis tools on the ExPASy server. In The Proteomics Protocols Handbook; Walker, J.M., Ed.; Humana Press: Totowa, NJ, USA, 2005; pp. 571–607. [Google Scholar] [CrossRef]
- Teufel, F.; Almagro Armenteros, J.J.; Johansen, A.R.; Gíslason, M.H.; Pihl, S.I.; Tsirigos, K.D.; Winther, O.; Brunak, S.; von Heijne, G.; Nielsen, H. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nat. Biotechnol. 2022, 40, 1023–1025. [Google Scholar] [CrossRef] [PubMed]
- Guo, S.; Garnham, C.P.; Whitney, J.C.; Graham, L.A.; Davies, P.L. Re-evaluation of a bacterial antifreeze protein as an adhesin with ice-binding activity. PLoS ONE 2012, 7, e48805. [Google Scholar] [CrossRef] [PubMed]
- Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef] [PubMed]
- Sayers, E.W.; Beck, J.; Bolton, E.E.; Brister, J.R.; Chan, J.; Connor, R.; Feldgarden, M.; Fine, A.M.; Funk, K.; Hoffman, J.; et al. Database resources of the National Center for Biotechnology Information in 2025. Nucleic Acids Res. 2025, 53, D20–D29. [Google Scholar] [CrossRef] [PubMed]
- Gabler, F.; Nam, S.-Z.; Till, S.; Mirdita, M.; Steinegger, M.; Söding, J.; Lupas, A.N.; Alva, V. Protein sequence analysis using the MPI bioinformatics toolkit. Curr. Protoc. Bioinform. 2020, 72, e108. [Google Scholar] [CrossRef] [PubMed]
- van Kempen, M.; Kim, S.S.; Tumescheit, C.; et al. Fast and accurate protein structure search with Foldseek. Nat. Biotechnol. 2024, 42, 243–246. [Google Scholar] [CrossRef] [PubMed]
- Pettersen, E.F.; Goddard, T.D.; Huang, C.C.; Meng, E.C.; Couch, G.S.; Croll, T.I.; Morris, J.H.; Ferrin, T.E. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Sci. 2021, 30, 70–82. [Google Scholar] [CrossRef] [PubMed]
- Wlodawer, A. Stereochemistry and validation of macromolecular structures. In Methods in Molecular Biology; Humana Press: New York, NY, USA, 2017; Vol. 1607, pp. 595–610. [Google Scholar] [CrossRef] [PubMed]
- Williams, C.J.; Headd, J.J.; Moriarty, N.W.; Prisant, M.G.; Videau, L.L.; Deis, L.N.; Verma, V.; Keedy, D.A.; Hintze, B.J.; Chen, V.B.; et al. MolProbity: More and better reference data for improved all-atom structure validation. Protein Sci. 2018, 27, 293–315. [Google Scholar] [CrossRef] [PubMed]
- Bhattacharya, D.; Cheng, J. 3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic-level energy minimization. Proteins 2013, 81, 119–131. [Google Scholar] [CrossRef] [PubMed]
- Holm, L. DALI and the persistence of protein shape. Protein Sci. 2020, 29, 128–140. [Google Scholar] [CrossRef] [PubMed]
- Davies, P.L. Ice-binding proteins: A remarkable diversity of structures for stopping and starting ice growth. Trends Biochem. Sci. 2014, 39, 548–555. [Google Scholar] [CrossRef] [PubMed]
- Garnham, C.P.; Campbell, R.L.; Davies, P.L. Anchored clathrate waters bind antifreeze proteins to ice. Proc. Natl. Acad. Sci. USA 2011, 108, 7363–7367. [Google Scholar] [CrossRef] [PubMed]
- Greenfield, N.J. Using circular dichroism spectra to estimate protein secondary structure. Nat. Protoc. 2006, 1, 2876–2890. [Google Scholar] [CrossRef] [PubMed]
- Hoang, T.; Nguyen, D.L.; Kim, B.; Choi, W.; Cho, S.M.; Kim, H.-W.; Han, S.J.; Kim, K.; Lee, J.H.; Do, H. Ice affinity purification system for recombinant proteins using a DUF3494 ice-binding protein. Int. J. Biol. Macromol. 2025, 315, 144378. [Google Scholar] [CrossRef] [PubMed]
- Hwang, J.; Kim, B.; Lee, M.J.; Kim, E.J.; Cho, S.M.; Lee, S.G.; Han, S.J.; Kim, K.; Lee, J.H.; Do, H. Importance of rigidity of ice-binding protein (FfIBP) for hyperthermal hysteresis activity and microbial survival. Int. J. Biol. Macromol. 2022, 204, 485–499. [Google Scholar] [CrossRef] [PubMed]
- Labo, J.C.; Lavin, P.; Fan, H.Y.; Abu Bakar, M.F.; Yusof, N.A. Complete genome dataset of Flavobacterium sp. strain PL002 isolated from Antarctic Porphyra algae. Data Brief. 2026, 66, 112684. [Google Scholar] [CrossRef] [PubMed]
- Cavicchioli, R. Cold-adapted archaea. Nat. Rev. Microbiol. 2006, 4, 331–343. [Google Scholar] [CrossRef] [PubMed]
- D’Amico, S.; Collins, T.; Marx, J.-C.; Feller, G.; Gerday, C. Psychrophilic microorganisms: Challenges for life. EMBO Rep. 2006, 7, 385–389. [Google Scholar] [CrossRef] [PubMed]
- De Maayer, P.; Anderson, D.; Cary, C.; Cowan, D.A. Some like it cold: Understanding the survival strategies of psychrophiles. EMBO Rep. 2014, 15, 508–517. [Google Scholar] [CrossRef] [PubMed]
- D’Amico, S.; Marx, J.-C.; Gerday, C.; Feller, G. Activity-stability relationships in extremophilic enzymes. J. Biol. Chem. 2003, 278, 7891–7896. [Google Scholar] [CrossRef] [PubMed]
- Mavromatis, K.; Tsigos, I.; Tzanodaskalaki, M.; Kokkinidis, M.; Bouriotis, V. Exploring the role of a glycine cluster in cold adaptation of an alkaline phosphatase. Eur. J. Biochem. 2002, 269, 2330–2335. [Google Scholar] [CrossRef] [PubMed]
- Siddiqui, K.S.; Cavicchioli, R. Cold-adapted enzymes. Annu. Rev. Biochem. 2006, 75, 403–433. [Google Scholar] [CrossRef] [PubMed]
- Hutchings, M.I.; Palmer, T.; Harrington, D.J.; Sutcliffe, I.C. Lipoprotein biogenesis in Gram-positive bacteria: Knowing when to hold ’em, knowing when to fold ’em. Trends Microbiol. 2009, 17, 13–21. [Google Scholar] [CrossRef] [PubMed]
- Abramson, J.; Adler, J.; Dunger, J.; Evans, R.; Green, T.; Pritzel, A.; Ronneberger, O.; Willmore, L.; Ballard, A.J.; Bambrick, J.; et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 2024, 630, 493–500. [Google Scholar] [CrossRef] [PubMed]
- Illergård, K.; Ardell, D.H.; Elofsson, A. Structure is three to ten times more conserved than sequence—A study of structural response in protein cores. Proteins 2009, 77, 499–508. [Google Scholar] [CrossRef] [PubMed]
- Garnham, C.P.; Gilbert, J.A.; Hartman, C.P.; Campbell, R.L.; Laybourn-Parry, J.; Davies, P.L. A Ca²⁺-dependent bacterial antifreeze protein domain has a novel β-helical ice-binding fold. Biochem. J. 2008, 411, 171–180. [Google Scholar] [CrossRef] [PubMed]
- Hashim, N.H.F.; Sulaiman, S.; Abu Bakar, F.D.; et al. Molecular cloning, expression and characterisation of Afp4, an antifreeze protein from Glaciozyma antarctica. Polar Biol. 2014, 37, 1495–1505. [Google Scholar] [CrossRef]
- Singh, A.; Upadhyay, V.; Upadhyay, A.K.; Singh, S.M.; Panda, A.K. Protein recovery from inclusion bodies of Escherichia coli using mild solubilization process. Microb. Cell Fact. 2015, 14, 41. [Google Scholar] [CrossRef] [PubMed]
- Bar Dolev, M.; Braslavsky, I.; Davies, P.L. Ice-binding proteins and their function. Annu. Rev. Biochem. 2016, 85, 515–542. [Google Scholar] [CrossRef] [PubMed]
- Ewart, K.V.; Lin, Q.; Hew, C.L. Structure, function and evolution of antifreeze proteins. Cell. Mol. Life Sci. 1999, 55, 271–283. [Google Scholar] [CrossRef] [PubMed]
- Gruneberg, A.K.; Graham, L.A.; Eves, R.; Agrawal, P.; Oleschuk, R.D.; Davies, P.L. Ice recrystallization inhibition activity varies with ice-binding protein type and does not correlate with thermal hysteresis. Cryobiology 2021, 99, 28–39. [Google Scholar] [CrossRef] [PubMed]
- Sun, Y.; Maltseva, D.; Liu, J.; Hooker, T., II; Mailänder, V.; Ramløv, H.; DeVries, A.L.; Bonn, M.; Meister, K. Ice recrystallization inhibition is insufficient to explain cryopreservation abilities of antifreeze proteins. Biomacromolecules 2022, 23, 1214–1220. [Google Scholar] [CrossRef] [PubMed]






| Gene ID | DEG Temperature (°C) | DEG | Pfam/InterPro hits | BLASTp top hits / % identity |
|
|---|---|---|---|---|---|
| Log2fold change | Adjusted P-value |
||||
| 1792 | -20 vs -6 | 5.61 | 1.89E-138 | LIPL48 (domain, Protein) |
87.87%_ hypothetical protein [Flavobacterium muglaense]. |
| -20 vs 15 | 4.89 | 1.10E-59 | |||
| Property | Value |
|---|---|
| Amino acid length | 402 aa |
| Molecular weight | 41.3 kDa |
| Theoretical pI | 4.70 |
| Instability index | 12.66 |
| Aliphatic index | 75.02 |
| GRAVY | −0.044 |
| Protein type | Other | Signal Peptide (Sec/SPI) | Lipoprotein signal peptide (Sec/SPII) | TAT Signal (Tat/SPI) | TAT Lipoprotein signal peptide (Tat/SPII) | Pilin-like signal peptide (Sec/SPII) |
|---|---|---|---|---|---|---|
| Likelihood | 0 | 0 | 1 | 0 | 0 | 0 |
| Secondary structure |
Content (%) |
|---|---|
| Antiparallel β-sheet (relaxed) | 17.9 |
| Antiparallel β-sheet (left-twisted) | 19.8 |
| Parallel β-sheet | 0.7 |
| Turn | 16.1 |
| Helix | 1.6 |
| Other | 44.0 |
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