Recently, researchers have discovered that psychrophilic microorganisms and cold-adapted enzymes have significant biotechnological potential. They provide many economic and ecological advantages compared with organisms and their enzymes that work at higher temperatures. For example, cold-adapted microorganisms and their cold-adapted proteins and enzymes have many biotechnological applications, in industries such as medicine, washing, textiles, food, waste management, and skin care [
5]. Cold-adapted enzymes can be produced without heating, savings in energy and money. In industrial applications, the high activity of cold-adapted enzymes helps shorten the reaction times without a reduction in efficiency or auxiliary heating, thus also reducing the energy consumption rate [
6]. For example, during leather production, cold-adapted proteases do not require additional heating and temperature adjustment, functioning at tap water temperatures compared with traditional mesophilic proteases. As a washing ingredient, cold-adapted proteases as a washing ingredient, this can be used to achieve decontamination at low temperatures, reducing the cost of environmental heating and avoiding possible colour damage resulting from high-temperature washing conditions [
7]. In cold environments, the degradation ability of endogenous microorganisms decreases with decreasing temperature, which is not conducive to waste management in cold regions. However, cold-adapted proteases can compensate for this disadvantage. For example, treating organic wastes from fisheries and aquaculture can not only avoid serious health and environmental problems but can also recycle high-value biological molecules within waste sustainably [
6].
Notably, proteases, as recognised therapeutic drugs with good tolerance, have been used in medicine for over a decade. Additionally, more than 100 years ago, proteases were used to treat chronic surface ulcers, tubulous lymphadenitis, and tubulous fibrosis [
8,
9,
10]. Proteases are primarily used for treatment in four fields: oral medicine for gastrointestinal diseases, anti-infective drugs, thrombolytic drugs for thromboembolic diseases, and local drugs for wound debridement [
11]. The majority, including thrombolytic drugs and coagulants, are used to treat blood diseases. Other approved protease therapies can be applied for digestion, muscle spasms, cosmetics, etc. such as using local proteases for selective tissue destruction to treat skin diseases (such as skin warts or actinic keratosis) [
8].
2. Sources and Mining of Cold-Adapted Protease
It was previously believed that extremely cold areas were sterile and thus did not contain any life. Additionally, there was little interest in psychrophilic microorganisms that could grow at low temperatures. However, many microorganisms provide valuable molecular sources with high biotechnological potential [
14]. As early as 1975, Morita defined psychrophilic bacteria based on their optimal growth temperatures. Their optimal growth temperature was determined to be 15 °C or lower, while the highest growth temperature was below 20 °C, and they could even grow when exposed to temperatures below 0 °C, differing from ordinary bacteria, whose optimum growth temperature is generally 20–4 °C [
15,
16]. During long-term exposure to low temperatures, cold-adapted microorganisms have evolved corresponding cold adaptation mechanisms, including increased structural flexibility of enzymes such as proteases, unique cell membrane lipid components, rapid cryoprotectant synthesis, and high cold-shock protein expression [
7]. Cold temperatures are known to limit the movement of plants and animals. Thus, microorganisms play a dominant role in the cold environment, and their biological activities also maintain nutrient flow in cold environments while contributing to the global biogeochemical cycle [
17].
Cold-adapted proteases primarily originate from cold-adapted microorganisms, which are generally found in extreme environments, such as water and mud in the deep sea, ice and frozen soil in polar regions, glaciers, mountains, and plateaus. The polar region covers an area of approximately 15%, with temperatures below 0 °C throughout the year. Glacial permafrost accounts for approximately 20% of the land area, with an average temperature below 4 °C. The oceans cover more than 70% of the earth, with an average temperature of 5 °C. These extreme environments are important habitats for cold-adapted microorganisms, which can be primarily divided into the following types: Gram-negative bacteria (
Pseudoalteromonas, Moraxella, psychrophilic bacteria,
Polar monospora, cold-resistant bacteria, etc.), gram-positive bacteria (
Arthrobacter,
Bacillus,
Micrococcus, and
Archaea, such as
Methanogens,
Rhodopseudomonas salina), yeast (
Candida,
Cryptococcus), and fungi (
Penicillium,
Cladosporium) [
7].
The Himalayas are one of the most representative areas of low-temperature environments on Earth, with its bacterial diversity being recognised for its potential to produce low-temperature active enzymes. It has also been reported that there are temperature-sensitive and -tolerant bacterial isolates in the Qomolangma Glacier Site, indicating rich diversity even in the most extreme and harsh areas [
17]. Furthermore, fungi on high-altitude glaciers are strong candidates for biotechnological applications, and according to a survey of the diversity of glacier fungi in Tirich Mir of the Dukush mountains in northern Pakistan,
Penicillium is the most common, followed by
Alternaria, which shows highly efficient low-temperature enzyme activity [
18]. Park et al. [
19] found 15,696 strains of bacteria that had been isolated from 633 seawater samples collected from the Chukchi Sea. Of these, 2526 strains (approximately 16%) were found to have protease activity after screening at a low temperature (15 °C). After 16S rRNA identification, these were found to have been primarily related to the following taxa:
Alteromonas (31%),
Staphylococcus (27%),
Pseudoalteromonas (14%),
Leeuwenhoecella (7%),
Bacillus (5%),
Thiobacillus (5%), cold-resistant bacilli (4%),
Clostridium (2%),
Acinetobacter (2%),
Pseudomonas (1%),
Halomonas (1%), and
Dukes (1%). Additionally, Kim et al. [
20] isolated 89 strains of bacteria from marine and land samples from the Svalbard Islands, Norway. Of these, 48 strains (approximately 54%), including
Pseudoalteromonas (33 strains),
Pseudomonas (10 strains),
Arthrobacter (4 strains), and
Flavobacterium (1 strain), were screened at low temperatures and observed to have protease activity.
Recently, many psychrophilic enzymes, including psychrophilic proteases, have been discovered through different biomolecular and genetic engineering technologies. These have good application potential for different industrial applications and include microbial metagenomes from cryogenic environments, psychrophilic enzymes obtained from various cold environments, including proteases [
20] and cellulases [
21,
22], xylanases [
23], amylases [
24], lipases [
25], chitinases [
26], pectinases [
27], esterases [
28,
29], and laccases [
30]. Three proteases and other enzymes of important commercial value from Antarctic soil were previously obtained using the metagenomic method [
31]. Fan et al. successfully obtained a new cold-adapted N-acyl homoserine lactoesterase from the macro microbe genome of musty tofu, which could significantly reduce the production of virulence factors and biofilms of
Pseudomonas aeruginosa PAO1 and also has the potential to become a candidate drug for treating
P. aeruginosa infections [
32]. Furthermore, Tchigvintsev et al. successfully screened several carboxylesterases from the marine metagenome, including some with excellent cold adaptation and salt tolerance [
33].
Metagenomics, as a mining method for discovering new enzyme genes in microorganisms and their communities, bypasses the technical challenge of cultivating polar microorganisms and has shown excellent application potential in many related reports. Screening environmental microbial strains is also an effective method for mining enzyme genes. This method can obtain enzyme genes with special functions through the enrichment and screening of culturable microorganisms in the corresponding environment and is characterised by being fast, simple, and suitable for large-scale screening. Arnórsdottir et al. previously reported that a cold-adapted protease Vpr had been obtained from a marine psychrophilic vibrio, and high expression was achieved using the T7 system of
Escherichia coli [
34,
35]. Additionally, Lario et al. studied a protease from cold-adapted yeast from Antarctica before purifying and sequencing it [
36]. A protease produced by cold nutritious
Bacillus fetida was isolated from Himalayan glacial soils. Through qualitative and quantitative screening, the cold-active protease Apr-BO1 was purified, which can effectively remove stains during low-temperature washing and is considered a good detergent additive [
37]. Daskaya-Dikmen et al. screened yeast strains of different genera from a cold environment in northern Turkey and screened for cold-adapted pectinases, proteases, amylases, etc. Among them, the production of cold-active amylase by
Cystosporium capitatum and pectinase by
Rhodosporomyces was first reported [
38]. The comparative study of functional genomics is another efficient and fast method of gene mining. With the progress of high-throughput sequencing technology, the number of publicly available bacterial genomes has increased significantly. Through the comparative analysis of genome sequences, we found genes encoding biological molecules and products of interest. Perfumo et al. used the comparative genomics of Psychrobacter genes to specifically identify and clone a gene that encoded a cold-active protease in isolate 94–6 PB and subsequently characterised the physical and chemical properties of the expression enzyme through in vitro analysis [
39].
3. Classification of Cold-Adapted Proteases
The conventional classification method for proteases can also be applied to classify cold-adapted proteases. Proteases can be divided into acidic, alkaline, and neutral categories according to the degree of acid–base preference. According to the method of peptide bond hydrolysis, these can be divided into endopeptidases (hydrolysis of internal peptide bonds) and exopeptidases (hydrolysis from the end). Endopeptidases are widely used in industries, depending on the chemical properties of functional groups in catalytic or active sites and can be generally divided into serine proteases, metalloproteinases, cysteine proteases, and aspartate proteases. They can be further classified according to the degree of inhibition of enzyme inhibitors [
21] into serine protease inhibitors (benzene sulfonyl fluoride PMSF), metalloproteinase inhibitors (1,10-phenanthroline and EDTA), cysteine protease inhibitors (N-ethylmaleimide), and aspartic protease inhibitors (pepsin inhibitor A). PMSF can covalently bind with serine residues to cause conformational changes in the enzyme molecule; the more serine residues in the active part of the protease, the stronger the inhibition of PMSF on the enzyme. Serine proteases are widely distributed across various taxa, indicating that serine proteases are crucial for the survival of microorganisms [
40].
If the protease activity decreases by more than 20% after treatment with inhibitors, which constitutes a significant negative impact, the protease can be classified according to the degree of inhibition. Inhibitor analysis of proteases at low temperatures can determine the type of cold-adapted protease. PMSF reduced the activity of ArcP02, ArcP08, and ArcP11 protease crude enzyme solutions by 24.8%, 39.8%, and 31.4%, respectively, whereas those of ArcP02 and ArcP08 decreased by 27.3% and 21.2%, respectively, at the same concentration of 1,10-phenanthroline. Therefore, it can be considered that the proteases produced by ArcP02, ArcP08, and ArcP11 are serine proteases, whilst ArcP02 and ArcP08 may produce additional metalloproteinases [
19].
Table 1 shows that a large proportion of the reported cold-adapted proteases belong to serine proteases [
12,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50], and a part of them belongs to metalloproteinases [
51,
52]. According to the optimal pH, most cold-adapted proteases belong to neutral proteases [
40,
50,
51,
53,
54,
55] and alkaline proteases [
41,
42,
43,
44,
45,
46,
56,
57,
58,
59]. In contrast, very few belong to acid proteases [
12,
60] because the activity of acid cold-adapted proteases contains aspartic acid residues; therefore, they are also aspartic proteases. In general, cold-adapted proteases are known to be active against various natural proteins and different types of natural and synthetic substrates, showing a wide range of substrate specificity. The cold-adapted serine proteases produced by
Chryseobacterium sp. have the highest hydrolytic activity against casein, followed by gelatin and bovine serum albumin, and the lowest on egg albumin [
40]. The cold-adapted serine peptidase produced by
Lysobacter sp. has the highest activity against azocasein, followed by gelatin and feather powder, and the lowest activity against casein, bovine serum albumin, and azo keratin [
52]. The broad substrate specificity of cold-adapted proteases is of great value in industrial applications, especially in bioremediation processes performed at low temperatures.
Table 1. Enzymatic properties of cold-adapted protease.
Source/Protease |
Temp Optima (°C) |
pH Optima |
Molecular Weight (kDa) |
Inhibitors |
Activators |
Refs. |
Alteromonas haloplanktis |
20 |
8.0–9.0 |
74–76 |
Leupeptin, PCMB |
- |
[57] |
Aspergillus ustus |
45 |
9.0 |
32 |
PMSF, DFP, Cu2+ |
- |
[45] |
Bacillus subtilis PAMC 26541 |
40 |
7.0–7.5 |
107 |
PMSF |
K+, Na+ |
[50] |
Bacillus sp. S1DI 10 |
10 |
8 |
40 |
EDTA, PMSF, Leucopeptin |
Fe2+, Mn2+, Co2+, Twain 80 |
[41] |
Bacillus subtilis WLCP1 |
15 |
10 |
38 |
PMSF |
Ca2+, Cu2+ |
[49] |
Bacillus cereus |
20 |
9.0 |
- |
EDTA, PMSF, Ca2+, Cu2+, K+ |
Co2+, Fe2+ |
[46] |
Bacillus cereus |
42 |
7.0–8.5 |
34.2 |
Mg2+, Mn2+ |
- |
[58] |
Curtobacterium luteum |
20 |
7 |
115 |
EDTA, EGTA |
Zn2+, Cr2+ |
[51] |
Colwellia sp. NJ341 |
35 |
8.0–9.0 |
60 |
PMSF, Fe2+ |
- |
[43] |
Colwellia psychrerythraea |
19 |
6–8.5 |
71 |
EDTA, Zn2+, Mn2+ |
Na+, Mg2+ |
[55] |
Candida humicola |
37 |
1–1.2 |
36 |
- |
- |
[60] |
Chryseobacterium sp. IMDY |
10 |
7.0–8.0 |
27 |
PMSF, Hg2+, Zn2+ |
Na+, Ca2+ |
[40] |
Escherichia freundii |
25 |
10.0 |
55 |
Iodoacetamide, SDS |
- |
[61] |
Flavobacterium psychrophilum |
24 |
6.0–7.0 |
62 |
Benzalkonium chloride, Na+, Phenanthroline, |
- |
[53] |
Pseudomonas lundensis |
40 |
10.4 |
46 |
EDTA, PMSF Cu2+, Zn2+, Hg2+, EDTA, SDS |
Mg2+, Ca2+ |
[56] |
Halobillus sp. SCSIO 20089 |
30 |
8 |
35 |
EDTA |
Ca2+, Mg2+, Mn2+ |
[55] |
Leucosporidium antarcticum |
25 |
6.7–7.1 |
34.4 |
- |
- |
[54] |
Lysobacter sp. |
40 |
9.0 |
35 |
PMSF, EDTA, Zn2+ |
Ca2+, Mg2+, Ba2+, Na+, NH4+, isopropyl alcohol |
[52] |
Penicillium chrysogenum FS010 |
35 |
9 |
41 |
PMSF, DFP, Cu2+, Co2+ |
Mg2+, Ca2+ |
[42] |
Psychrobacter sp. 94–6 PB |
30 |
9 |
80 |
- |
- |
[39] |
Planococcus sp. M7 |
35 |
10 |
43 |
PMSF, TNBS, EDAC, EDTA, Cu2+, Ni2+ |
Fe3+, Ca2+ |
[44] |
Pseudomonas DY |
40 |
10 |
25 |
PMSF, DFP, AEBSF |
Ca2+, Mg2+ |
[43] |
Pseudoalteromonas arctica PAMC 21717 |
30 |
9 |
37 |
LAS, SDS |
Ca2+ |
[59] |
Pedobacter cryoconitis |
40 |
8.0 |
27 |
- |
- |
[62] |
Pseudoaltermonas. sp. |
30 |
8.0 |
47 |
PMSF, Chymostatin, Trypsin |
- |
[63] |
Pseudomonas strain DY-A |
40 |
10.0 |
- |
EDTA, EGTA, SDS |
- |
[47] |
Stenotrophomonas IIIM-ST045 |
15 |
10 |
55 |
Zn2+, Cu2+, Co2+ |
Mg2+, Mn2+, Ca2+ |
[64] |
Serratia marcescens |
40 |
6.5–8.0 |
58 |
Phenanthroline, PSFM, EGTA, DTT |
- |
[48] |
Sphingomonas paucimobilis |
20–30 |
6.5–7.0 |
- |
DFP, PMSF, AEBSF |
- |
[65] |
Trichoderma Atroviride |
25 |
6.2 |
24 |
SDS, Urea |
- |
[12] |
4. Enzymatic Characteristics of Cold-Adapted Proteases
For normal growth adaptation to life under low-temperature conditions, cold-adapted microorganisms have evolved a set of gene expression sequences and special molecular mechanisms specific to low-temperature environments, in which the high expression of low-temperature active enzymes plays a key role during the process of cold adaptation. In recent decades, research on cold-adapted proteases has initially focused on exploring enzymatic characteristics, including the optimal temperature, pH, and Effects of metal ions (e.g., Hg
2+, Cd
2+, Co
2+, Mn
2+, Ca
2+, K
+, Na
+, Fe
2+, etc.) and compounds (such as SDS, PMSF, EDTA, LAS, etc.) on enzyme activity. Their optimal catalytic temperature is 10–60 °C, whilst their optimal pH is usually in the neutral to alkaline pH range of 7–10 [
1]. To date, thermostable alkaline proteases primarily originate from
Bacillus subtilis and
Bacillus licheniformis, whilst proteases from
Geomyces panorum, and yeast
Candida humicola are rare acid thermostable proteases with an optimal pH of 3.0 [
1,
56,
60]. Presently, the reported molecular weight of cold-adapted proteases is small, typically in the range of 25–60 kDa; only a few cold-adapted proteases have large molecular weights [
39,
50,
51,
57]. Organic reagents such as EDTA, PMSF, and DFP often inhibit the activity of cold-adapted protease [
41,
42,
43], as do metal ions Hg
2+, Cu
2+ and Co
2+ [
40,
66]. Metal ions, such as Mg
2+, Mn
2+, and Ca
2+ can improve the activity of cold-adapted proteases to varying degrees [
46,
58].
5. Structural Adaptations of Cold-Adapted Protease
The structure of cold-adapted proteases can be analysed from their molecular (amino acid composition and sequence, terminal composition, disulphide bond position, etc.) and three-dimensional structure. Nuclear magnetic resonance spectroscopy, site-directed mutagenesis, X-ray crystal diffraction, and freeze electron microscopy are effective methods that can be used to understand the crystal structure. Additionally, the high structural homology of enzymes at different temperatures provides an opportunity to study the structural characteristics of their adaptation to different temperatures. Through comparative analysis of the structural characteristics of cold-adapted, mesophilic, and thermophilic proteases (
Figure 1), as well as previous studies, we can understand how proteases become adapted to low temperatures. These groups comprise protein surfaces that determine the important interactions between proteins and water, which is expected to significantly impact protein function in adapting to high and low temperatures. In many thermophilic proteins, a larger proportion of non-polar surfaces is believed to help increase stability [
67,
68]. The proportion of serine residues in cold-adapted enzyme molecules of cold-adapted microorganisms is high, while the proportion of proline and acid residues is low. Owing to the high number of polar amino acid residues, these types of enzymes have a more hydrophilic interaction with solvents [
49,
69]. Therefore, the active sites of these enzymes are usually more accessible to compensate for substrate diffusion at lower temperatures. The difference between cold-adapted Vibrio proteases and more stable proteases is their strong anionic properties due to the numerous uncompensated negatively-charged residues on their surface. In some studies, the difference in surface charge distribution or the increase in the non-polar surface area has been considered to enable adaptation to low temperatures [
70,
71,
72]. On the other hand, the weakness of non-covalent interactions (such as salt bridges, hydrophobic interactions, aromatic interactions, main chains, side chains, and side chain hydrogen bonds) in some special positions can increase the core volume of enzyme molecules and make the whole molecule looser [
46], improving the conformational flexibility of proteases [
37]. However, the relationship between the number of non-covalent bonds and the temperature adaptation of enzymes cannot be determined at present. For example, the number of salt bridges in cold-adapted protease 1SH7, thermophilic protease 1IC6, and thermophilic protease 1THM was compared [
73]. The number of salt bridges in 1SH7 and 1IC6 was the same and was only two less than that in thermophilic protease 1THM. Although there have been many reported instances of salt bridges and hydrogen bonds introduced in the modification of thermal stability enhancement of many enzymes, an important aspect of their contribution to protein stability lies in their location and distribution [
73]. However, this increase in flexibility is often accompanied by decreased stability. Cold-adapted enzymes generally show low thermal stability, short half-life, and high sensitivity to low pH [
74]. In contrast, thermostable enzymes have a more rigid and compact conformation, which is more likely to protect them from instability at higher temperatures [
75].
From a kinetic point of view, a very common feature of all low-temperature active enzymes is the reduction of activation enthalpy, accompanied by negative entropy, which reduces the exponential decline of the chemical reaction rate resulting from the reduction in temperature. It has been reported that the surface flexibility of low-temperature active enzymes is the source of cold adaptability [
76]. For example, Isaksen discussed the role of protein surface mobility in determining the enthalpy centre equilibrium and subsequently proved that the surface of the enzyme is rigid through a single remote mutation of the key residue of protein water surface interaction. Therefore, cold-denatured trypsin can be transformed into a variant with medium-temperature characteristics without changing the amino acid sequence [
77]. It has been suggested that the rigidity of the surface of low-temperature active enzymes may produce a higher activation enthalpy of the catalytic reaction with fewer negative entropy components.
Figure 1. Comparison of the electrostatic surface potentials and crystal structures of (
A) 1SH7, (
B) 1IC6, and (
C) 1THM [
73]. On the right-hand side, the molecules have been rotated 180 about the y-axis. The approximate locations of substrate binding pockets, S1–S4 (nomenclature according to) and the oxyanion hole residue, N157, are labelled on the surface of the Vibrio proteinase (
A) [
78]. The positive potential is in blue and the negative potential is in red. The electrostatic surface potential was calculated using Delphi, and the graphical presentations were produced using Pymol [
63].