Antimicrobials
Antimicrobials include various natural or synthetic substances that inhibit growth or survival of microorganisms. Depending on their mechanism of action, affected organism, spectrum of activity, source, or chemical structure, antimicrobial agents can be classified into different groups. When classified by the type of microorganism they affect, antimicrobials are grouped into antibiotics, antifungals, antivirals and antiprotozoal agents. Among these, antibiotics are most widely used in protein production. In this brochure, first the modes of action and resistance of a ntibiotics will be reviewed, followed by their use in protein production as well as some alternatives to antibiotics.
Antibiotics
Modes of action
There are several modes of action of antibiotics. Namely, they can inhibit cell wall synthesis, interrupt structure and the function of the cell membrane, or inhibit of proteins synthesis, replication and transcription, or folic acid synthesis.
- Inhibition of cell wall synthesis of Gram (+) bacteria. Penicillins and cephalosporins that interfere with enzymes required for the synthesis of the peptidoglycan layer (Džidić et al, 2008).
- Interaction with the Gram (+) bacteria membrane or the inner membrane of Gram (-) bacteria. Polymixin binds to lipid A of LPS of Gram (-) bacteria leading to the disruption of bacterial outer membrane and cell death (Džidić et al, 2008).
- Inhibition of protein synthesis. Macrolides (erythromycin) bind to the 50s ribosomal unit, while aminoglycosides, such as kanamycin, bind to 30s ribosomal unit (Džidić et al, 2008).
- Replication and transcription inhibition. This includes interaction with different enzymes in these processes such as topoisomerase II (DNA gyrase) in the case of quino lones during replication (Džidić et al, 2008).
- Inhibition of folate synthesis. Inhibition of folate synthesis, a cofactor in biosynthesis of DNA and RNA building blocks, is a mode of action of sulfonamides and trimethoprim (Džidić et al, 2008).
Figure 1. Modes of Action – Antibiotic target sites with examples of specific antibiotics (Based on Etebu & Arikekpar, 2016).
Mechanisms of resistance
Resistance to antibiotics generally occurs via one of4 main mechanisms – Antibiotic inactivation, target modification, efflux of the antibiotic, and target bypass.
- Antibiotic inactivation. Biochemically, these strategies include hydrolysis, group transfer, and redox mechanisms. Extended-spectrum β-lactamases (ESBLs) mediate resistance by hydrolysis, to all penicillins, third generation cephalosporins (e.g. ceftazidime, cefotaxime, ceftriaxone) and aztreonam. Transferases inactivate aminoglycosides, chloramphenicol, streptogramin, macrolides or rifampicin (Džidić et al, 2008).
- Target modification. Altering of the antibiotic target site results in antibiotic inability to bind properly to its target. Alterations among penicillin-binding proteins result in ampicillin resistance (Džidić et al, 2008).
- Efflux of the antibiotic via efflux pumps and outer membrane permeability changes. This mechanism reduces the concentration of the antibiotics, such as, tetracyclines, macrolides, and fluoroquinolones that inhibit different aspects of protein and DNA biosynthesis, and must be inside of the cell to exert their effect (Džidić, et al, 2008).
- Target bypass. Bypassing the inactivation of a given enzyme is a mechanism characteristic for dihydrofolate reductase and synthase involved in tetrahydrofolate biosynthesis, that are inhibited by trimethoprim and sulfonamides, respectively (Džidić, et al, 2008).
Application of antibiotics in protein production
Unlike other pharmaceuticals, proteins cannot be chemically synthesized due to their complex structure and function. Different host organisms are used to synthesize proteins that have a different origin from the host and this is why they are termed ‘recombinant proteins’ (Overton, 2014).
A general framework for recombinant protein production includes: cloning of the gene of interest into an expression vector, delivering the vector into the host of choice, selection of transgenic cell lines, large scale production, and purification of the protein (Rosano et al, 2014; Overton, 2014). Green fluorescent proteins (GFPs) are often used as reporter markers to screen the cells that carry the protein of interest and the fluorescence is measured as an indicator of the expression level. Similarly, antibiotics combined with their antibiotic resistance gene (ARG) are used for the efficient straightforward selection of cells that carry the gene of interest.
However, there is a difference in the selection efficiency based on which pair of antibiotic and ARG is used (Rosano et al , 2014) and each pair establishes a different threshold below, which no cell can survive. This further explains the variability of the selection process (Guo et al, 2021). Moreover, the transgene expression rapidly declines in the absence of antibiotic indicating the importance of antibiotic selection (Guo et al, 2021). In many systems, more than one antibiotic and ARG are used.
Bacterial systems
Escherichia coli (E.coli) remains the most popular expression system over the last 40 years, ever since its first use for human somatostatin (Itakuraetal,1977) and human insulin production (Goeddel et al,1979). E. coli stands for a well-established expression platform thanks to the abundance of molecular tools and protocols for high-level production, and numerous expression plasmids, engineered strains, and cultivation strategies (Rosano et al, 2014). Other physiological characteristics, such as fast growth kinetics, with a doubling time ~ 20 min (Sezonov et al, 2007) and easily achieved high-cell density qualify E. coli as a common choice in protein production. Moreover, the transformation process is fast and easy, and can be performed in as little as 5 min (Pope and Kent, 1996).
Recent efforts have been made to compare the suitability of different antibiotic resistance genes (ARGs) as reliable reporter markers with regards to the correlation between protein expression and resistance to the specific antibiotic. The expression of Nannobody and Affibody was demonstrated in E. coli K12 MG1655 with dasher-GFP gene as a gene of interest and six ARGs as selectable markers (Rosano et al, 2014). The tunable nature of ARGs can be achieved using different concentrations of rhamnose as an expression inducer and more interestingly, the use of antibiotics can be lowered by designing a weak coupling Shine−Dalgarno (SD) sequence.
Among several commonly used laboratory antibiotics (ampicillin/carbenicillin, chloramphenicol, spectinomycin, kanamycin, gentamicin or tetracycline), and their corresponding resistance genes (bla, cat, aadA, aphA1, acc3, and tetC), the ampicillin resistance marker shows the largest dynam ic range according to rhamnose/Minimal Inhibitory Concentration (MIC) correlation (Rosano et al, 2014). This qualifies β-lactamase for the most suitable resistance marker among the five tested selectable markers. The hypothesized reason for this is the mechanism of action of β -lactamase, which doesn’t affect protein synthesis in contrast to other tested antibiotics. This implies that other ARGs that have no effects on the protein synthesis should be considered in relation to protein production efficiency, such as vancomycin and zeocin.
All markers except for gentamicin show a good correlation between rhamnose and fluorescence indicating that the expression can be tuned with rhamnose (Rosano et al, 2014). However, for chloramphenicol only concentrations up to 10 mM rhamnose show a correlation, suggesting limited tunable nature of the cat gene (Rosano et al, 2014).
The use of antibiotics can be lowered by enabling tunable translation of ARGs. This tunable effect can be achieved by sandwiching an alternative Translation Initiation Region (TIR) with a weak coupling SD sequence between the GFP and ARG (Rosano et al, 2014). In such way, the correlation between the fluorescence and MIC is preserved, while use of antibiotics is much lower.
Figure 2. Recombinant protein production in bacteria. (Partially based on Overton, 2014.)
Fungal systems
Pichia pastoris is one of the most extensively applied yeast species in pharmaceutical and biotechnological industries , also known as a “biotech yeast”. P. pastoris has been reclassified into Komagataella spp. of which K. pastoris and K. phaffii represent synonyms (Valli et al, 2016). This common host for recombinant protein production is used for both academic and commercial purposes (Yang et al, 2014)
The limiting factor of the exploitation of this yeast is the low number of selectable markers. The best-known markers for expression in yeast are zeocin-, G418-, nourseothricin- and blasticidin for K. phaffi. In addition to this, a hph gene for resistance to hygromycin B has also been used as a selectable marker (Yang et al, 2014). Both intra- and extracellular expression can be performed under hygromycin B resistance as demonstrated with GFP and Human Serum Albumin (HSA) protein.
The GFP expression under either constitutive or methanol-inducible promoter and the hph resistance gene as a selectable marker shows similar results to those previously obtained with zeocin (Yang et al, 2009). Hygromycin B is also suitable for post-transformational vector amplification (PTVA) that is commonly applied to increase plasmid copy number. This technique can be used for increasing the expression of already well-expressed proteins, as well as for poorly expressed proteins. Increasingly higher concentrations of hygromycin B (200, 700, 1500 and 4000 mg/l) can be used to perform PTVA (Yang et al, 2009). In this way, selecting the colonies with the highest level of protein of interest for each next round of PTVA results in increased protein yields after each round (Yang et al, 2009). The expression levels under hygromycin B are comparable to those obtained for vectors containing zeocin and G418 resistance (Sunga et al, 2008).
Mammalian cells
Antibiotics as selectable markers are also used in mammalian cells for recombinant protein production. Five different selectable markers NeoR, BsdR, HygR, PuroR, and BleoR genes, which confer resistance to the selective antibiotics G418/geneticin, blasticidin, hygromycin B, puromycin, and zeocin respectively, were compared with regards to their effects on the level of expression of the protein of interest and cell-to-cell variation of the expression levels (Guo et al, 2021).
The choice of selectable marker is important as it can have up to a 10-fold effect on the expression level (Guo et al, 2021). Among all tested antibiotics, use of zeocin results in the highest and most homogeneous expression of all; geneticin and blasticidin show the lowest average relative expression and high degrees of cell-to-cell variation, while use of hygromycin B and puromycin result in intermediate expression levels and variation (Guo et al, 2021).
The correlation between high cell-to-cell variation with the low transgene expression indicates that each selectable marker–antibiotic pair establishes a threshold of transgene expression below which no cell can survive (Guo et al, 2021). This can be explained by the specific resistance mechanism of each resistance gene. Namely, highly efficient and long-lived selectable marker proteins inactivate their antibiotic at very low levels of expression resulting in the survival of the ce lls expressing even the lowest level of recombinant protein, which further leads to high cell-to-cell variation (Guo et al, 2021).
NeoR and BsdR selectable marker enzymes may be highly active, stable, or both, thus resulting in low expression of transgene and high variation, while BleoR marker yields cell lines with the highest and least heterogeneous levels of transgene expression indicating that it has the lowest activity of all selectable markers. This implies that zeocin might be the most suitable for high-yield production (Guo et al, 2021). Conversely, for difficult-to-express proteins, puromycin or hygromycin B are recommended as they allow survival at lower levels of transgene expression (Guo et al, 2021).
Other antimicrobials
In some application fields of biotechnology such as gene therapy and production of therapeutic recombinant proteins, the presence of ARGs and antibiotics is not acceptable (Vandermeulen et al, 2011). This inspired the development of antibiotic marker-free selection approaches. However, such systems are not adopted commonly due to requirements of specialized strains and/or reagents.
Triclosan is a Food and Drug Administration (FDA)-approved, non-antibiotic biocide agent that affects a broad spectrum of microorganisms , including bacteria, fungi, viruses, and protozoa (“What is the biocide triclosan?”, 2021). Triclosan inhibits bacterial enoyl- acyl carrier protein reductase enzyme (ENR) encoded by fabI gene (Heath et al, 1999). When overexpressed, ENR results in triclosan reistance in E. coli (Heath et al, 1999). FabV, a functional homologue of fabI can be used efficiently to express heterologous recombinant proteins in E. coli and shows similar or better results than expression vectors containing β-lactamase (Ali et al, 2015). Some of the advantages of triclosan as a selection marker are: enhanced plasmid stability, applicability in diverse culture media, and compatibility with other selection systems (Ali & Chew, 2015). Namely, FabV-Triclosan system is compatible with use of other antibiotics, such as, chloramphenicol, kanamycin, or t etracycline that are required for certain bacterial strains either for verification purposes or to maintain additional extra-chromosomal genetic elements (Ali et al, 2015).
production of protein of interest.
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