Next Article in Journal
A Cretaceous Chafer Beetle (Coleoptera: Scarabaeidae) with Exaggerated Hind Legs—Insight from Comparative Functional Morphology into a Possible Spring Movement
Next Article in Special Issue
Genome-Based Analysis of the Potential Bioactivity of the Terrestrial Streptomyces vinaceusdrappus Strain AC-40
Previous Article in Journal
The Importance of Studying Factors That Affect the In Vitro Evaluation of Semen Quality to Predict Potential Fertility in Males
Previous Article in Special Issue
Role of Alternative Elicitor Transporters in the Onset of Plant Host Colonization by Streptomyces scabiei 87-22
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Towards the Understanding of the Function of Lanthipeptide and TOMM-Related Genes in Haloferax mediterranei

1
CESAM and Department of Biology, University of Aveiro, 3810-193 Aveiro, Portugal
2
CESAM and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biology 2023, 12(2), 236; https://doi.org/10.3390/biology12020236
Submission received: 15 December 2022 / Revised: 13 January 2023 / Accepted: 20 January 2023 / Published: 2 February 2023

Abstract

:

Simple Summary

The knowledge of the biosynthetic pathways and the biological role of secondary metabolites produced by the third domain of life is limited when compared with bacteria or eukaryotes. Herein, we investigated, in more detail, genes encoding enzymes that are predicted to be involved in the biosynthesis of peptide secondary metabolites in halophilic archaea regarding (i) their transcription, (ii) their association with antimicrobial activity, and (iii) the impact of their absence on the biomolecular profile of the cells.

Abstract

Research on secondary metabolites produced by Archaea such as ribosomally synthesized and post-translationally modified peptides (RiPPs) is limited. The genome of Haloferax mediterranei ATCC 33500 encodes lanthipeptide synthetases (medM1, medM2, and medM3) and a thiazole-forming cyclodehydratase (ycaO), possibly involved in the biosynthesis of lanthipeptides and the TOMMs haloazolisins, respectively. Lanthipeptides and TOMMs often have antimicrobial activity, and H. mediterranei has antagonistic activity towards haloarchaea shown to be independent of medM genes. This study investigated (i) the transcription of ycaO and medM genes, (ii) the involvement of YcaO in bioactivity, and (iii) the impact of YcaO and MedM-encoding genes’ absence in the biomolecular profile of H. mediterranei. The assays were performed with biomass grown in agar and included RT-qPCR, the generation of knockout mutants, bioassays, and FTIR analysis. Results suggest that ycaO and medM genes are transcriptionally active, with the highest number of transcripts observed for medM2. The deletion of ycaO gene had no effect on H. mediterranei antihaloarchaea activity. FTIR analysis of medM and ycaO knockout mutants suggest that MedMs and YcaO activity might be directly or indirectly related t lipids, a novel perspective that deserves further investigation.

Graphical Abstract

1. Introduction

In recent years, ribosomally synthesized and post-translationally modified peptides (RiPPs) have been emerging as an interesting source of novel natural products, with diverse chemical structures and functions [1]. RiPPs are divided into classes according to the nature of the post-translational modification enzymes (PTMs) that produce a modified and functional peptide [2]. Briefly, and considering the general biosynthetic mechanism, these enzymes recognize a cognate precursor peptide by binding to the leader peptide and modifying the amino acids of the core peptide in subsequent reactions [1]. At the genetic level, the biosynthetic gene clusters (BGCs) are identified by many bioinformatic approaches, which search for the presence of a gene(s) encoding the core PTM enzyme(s) characteristic of each subtype of RiPP [3]. Within the domain Archaea, BGCs encoding the biosynthesis of two subtypes of RiPPs, the lanthipeptides and TOMMs (thiazole/oxazole-modified microcins), were identified in haloarchaea, including in the Haloferax mediterranei ATCC 33500 strain [4,5].
As suggested by the name, lanthipeptides are RiPPs that contain (methyl)lanthionine residues, and the enzymes responsible for their installation define their classification. The BGCs of H. mediterranei encode three class II synthetases, generally named LanMs (Figure 1a). LanMs are bifunctional enzymes since they catalyze the dehydration of Ser and Thr to Dha and Dhb, respectively, and the cyclization reaction between Cys and Dha or Dhb to form lanthionine (Lan) or methyllanthionine (MeLan) residues, respectively [6]. In H. mediterranei, the three lanM genes were found in the chromosome (medM1) and the pHM300 megaplasmid (medM2 and medM3; Figure 1a). The possible relation of lanthipeptide production and the H. mediterranei antihaloarchaea activity was investigated by testing medM knockout mutants and it was concluded that they are not drivers of such inhibitory ability [5]. However, at the time, it was not possible to confirm that they were not haloarcheocins since it is unknown if medM BGCs are cryptic.
TOMMs are a subtype of RiPPs containing thiazole or (methyl)oxazole heterocycles and the core biosynthetic enzyme of TOMMs is a cyclodehydratase from the YcaO superfamily, also known as the D-protein [7]. The YcaO cyclodehydratases catalyze the cyclodehydration of Cys in thiazolines, and Ser or Thr in oxazolines or methyloxazolines, respectively [8]. YcaO cyclodehydratases normally work together with a C-protein, which enhances their activity. They can be encoded in the same gene, producing a bifunctional enzyme, or in separate genes [7]. H. mediterranei encodes a TOMM cluster of the haloazolisin’s family in its chromosome, which contains a fused cyclodehydratase (herein ycaO) with a barely recognizable C-protein domain [4] (Figure 1b).
The main objective of this work was to add information to the current, but scarce, knowledge on H. mediterranei RiPPs, as a case study of the haloarchaea group. More specifically, we intended to (i) determine if the medM and ycaO genes were cryptic in the conditions where the antihaloarchaea activity is detected (agar media growth), (ii) test the TOMM BGC relation with the antagonistic effect, and (iii) understand the effect, at the biomolecular level, of the absence of the YcaO and MedMs-encoding genes.

2. Materials and Methods

2.1. Culture Media

The strain H. mediterranei WR510 (H. mediterranei ΔpyrE) and its derivatives were routinely grown in YPC agar or YPC broth (Table S1) at 37 °C for the time required for each assay. Halobacterium salinarum NRC-1 was cultivated in YPCss agar or YPCss broth (Table S1) at 45 °C for 5 days or 37 °C for 7 days.

2.2. Generation of Knockout Mutants

The knockout of the ycaO gene was generated using the H. mediterranei WR510 strain as described by [9] and [5] using knockout plasmids based on the plasmid pTA131 [10]. As such, a knockout plasmid, pKO_ycaO, was constructed to allow the deletion of ycaO from the H. mediterranei WR510 genome by recombination. The plasmids were constructed via the insertion of the two flanking regions of ycaO into the lacZ of pTA131. The amplification of each flanking region was performed in a final volume of 50 μL with the 2X Platinum SuperFi PCR Master Mix (Thermo Scientific), following the manufacturer’s instructions and using the primers and annealing temperature listed in Table S2. The amplicons were purified with the NZYGelpure Kit (NZYTech, Portugal) and digested with the corresponding Anza restriction enzymes (Thermo Scientific; Table S2) in a final volume of 20 µL, according to the manufacturer’s instructions. The pTA131 was also digested in the same conditions. After digestion, the DNA was analyzed and recovered from the agarose gel with the NZYGelpure Kit (NZYTech, Portugal). Ligation was performed in a 20 µL reaction containing 5 μL of Anza T4 DNA Ligase Master Mix (Thermo Scientific), 50 ng of digested vector, 40 ng of the digested up fragment, and 40 ng of the digested down fragment. The ligation was incubated at 37 °C for 20 min and 5 μL were transformed by heat shock into 50 μL of E. coli NZY5α competent cells (NZYTech, Portugal). The transformants were selected on LB agar plates containing 50 μg/mL of ampicillin and 0.2 mg/mL of X-Gal, overnight at 37 °C. The screening of white colonies was performed by colony PCR using universal primers (lacZ MCS; Table S2). The expected amplicon size for colonies containing the recombinant plasmid was approximately 1900 bp, corresponding to the lacZ gene with the insertion of both up and down fragments. A positive colony was selected to extract pKO_ycaO with the NZYMiniprep kit (NZYTech, Portugal), and its MCS region was sequenced at StabVida (Portugal).
H. mediterranei was transformed with pKO_ycaO using the transformation PEG-mediated protocol described by [10] (Figure S2) and the pop-in transformants were selected in CAM-agar plates (Table S1), at 37 °C for 4 days. Confirmation of pop-in transformants and generation of pop-out transformants was performed as described [5,9]. Pop-out transformants were screened by PCR with the ycaO flanking region ycaO_UP_FW and ycaO_DOWN_RV primers (Table S2) to select pop-out knockout mutants, which were further confirmed by absolute qPCR targeting the ycaO deleted gene. The reactions were performed with the 2X PowerUp SYBR Green Master Mix (Thermo Fisher) as described by [5], with the primers listed in Table S2.

2.3. Viable Cells Count and Anti-Haloarchaea Activity

Liquid cultures of H. mediterranei WR510 or the knockout mutants were prepared in 5 mL of YPC broth and grown at 37 °C for 48 h, with aeration (180 rpm). Their optical density at 600 nm (OD600) was adjusted to 0.02, and 25 μL of this culture was plated as a “dot” in the center of YPC-agar plates (Figure S3) that were incubated at 37 °C for 5 days.
For viable cell counts, one plate of each biological replicate of H. mediterranei WR510 was collected every day, and the number of viable cells in the dot biomass was quantified by resuspension of the dot in four mL of YPC broth. The OD600 was measured, and viable cells were determined by counting CFU/mL as described by [11] and using four biological replicates. For the knockout of H. mediterranei ∆ycaO, the protocol applied was the same, but viable counts were performed after 4 days post-plating.
Two plates of each biological replicate of the H. mediterranei WR510 were collected for the bioactivity assay, and plates were treated for 15 min with UV light and conserved at 4 °C. On day 5, all the plates were used for overlay bioassay with the indicator strains H. salinarum or H. volcanii. The two indicator strains were grown in the appropriate YPC broth (Table S1) for 7 and 5 days, respectively, at 37 °C. The OD600 of the cultures was measured and added to 15 mL of the respective soft agar (Table S1), at a final OD600 = 0.03. Each indicator culture was then poured onto the H. mediterranei plate and incubated at 37 °C until the halo of inhibition was clearly visible for measuring. The same protocol was followed to test the bioactivity of the knockout H. mediterranei ∆ycaO, and the protocol applied was the same. However, viable counts were performed only after 4 days post-plating.

2.4. Preparation of plates for RNA extraction and FTIR analysis

The H. mediterranei strains were grown in 5 mL of YPC broth and incubated at 37 °C for 72 h, with aeration (180 rpm). The OD600nm was measured, and the cultures were diluted in YPC for a final OD600nm equal to 0.02 and a final volume of 1 mL. Plates were prepared in 15 mm Petri dishes containing approximately 10 mL of YPC agar and 25 µL of the cultures prepared, and spotted in the center of the plate (Figure S4). The plates were incubated at 37 °C for the time determined by the subsequent analysis (RNA extraction or FTIR). Five biological replicates were prepared for each strain.

2.5. RNA Extraction and cDNA Synthesis

Total RNA was extracted after 24, 48, and 72 h of growth of the strain H. mediterranei WR519 as above described. The RNA was extracted with the GRiSP Total RNA Kit—Bacteria, according to the manufacturer’s instructions and starting with resuspension of the biomass in the plates in 1 mL of YPC broth (24 h of growth). For the cultures grown for 48 and 72 h, the biomass was resuspended in 2 mL of YPC broth and the OD600nm was measured. The suspensions were further diluted in YPC broth to achieve an OD600nm of 0.5, and 1 mL was used for the RNA extraction so as not to exceed the maximum number of cells established by the manufacturer. RNA integrity was subsequently evaluated through agarose gel electrophoresis and RNA concentration was determined with Qubit (Invitrogen).
The total RNA was used to synthesize cDNA with the SuperScript VILO cDNA synthesis kit (Thermo Fisher Scientific). Prior to the synthesis, the total RNA samples were treated with DNase to remove any DNA contamination as follows: 1 μL of 10X ezDNase buffer, 1 μL of ezDNase, and varied volumes of RNA to allow the use of 250 ng and nuclease-free water up to a final volume of 10 μL. The reactions were mixed and incubated at 37 °C for 2 min. Then, the reactions were centrifuged and placed on ice, and for each reaction, a volume of 4 μL of SuperScript IV VILO Master Mix and 6 μL of nuclease-free water was added. The reverse transcription reaction was performed following the manufacturer’s instructions, and the cDNA was stored at −80 °C.

2.6. Transcriptional Analysis by qPCR

The synthesized cDNAs were used to quantify the gene transcripts of genes of the lanthipeptides and haloazolisin BGCs (medM1, medM2, medM3, and ycaO) by absolute qPCR quantification. The rpl16 transcripts, which encode the 50S ribosomal protein L16, were also quantified to use as a reference gene in normalization, as described by [12]. This strategy requires a quantification curve, which was obtained with a 10-fold dilution series of total DNA from H. mediterranei WR510, ranging from 1.73 × 105 to 1.73 × 101 copy number/μL (considering the target gene) as a DNA template. Each qPCR reaction had a final volume of 10 μL consisting of 5 μL of PowerUpTM SYBRTM Green Master Mix (Thermo Fisher Scientific), 0,5 μL of the forward primer (10 pmol/μL), 0,5 μL of the reverse primer (10 pmol/μL; Table S2), 1 μL of the template (either the diluted total DNA or a 1/10 dilution of the cDNA to test), and 3 μL of DNase-free water. Amplification was performed with the CFX96 real-time PCR system (Bio-Rad, Hercules, CA) as follows: 50 °C for 2 min, 95 °C for 2 min, and 40 cycles consisting of 95 °C for 15 s and 57–61 °C for 1 min (Table S2), followed by plate reading. Upon completion, a melting curve was obtained by submitting the amplicons to a temperature range from 65 °C to 95 °C, with an increase of 0.5 °C at 5 s intervals, in order to evaluate non-specific amplification. The reaction efficiency, R2, and quantification were calculated by the CFX Manager software (Bio-Rad), and only reactions with efficiencies of 90–110% were considered for analysis. Five biological and two technical replicates were performed for each condition tested.

2.7. FTIR Analysis

Strains of H. mediterranei WR510, ΔM1M2M3 [5], and ΔycaO (this study) were grown in plates as mentioned above. The colonies were analyzed by FTIR on the 1st, 6th, and 14th days post-plating. The analyses were conducted in the ALPHA Platinum ATR-FTIR (Bruker, Germany) at wavenumbers ranging from 4000 cm−1 to 500 cm−1 and controlled temperature (23 °C) and humidity (35%). The procedure involved the collection of the colonies with a loop to place them at the center of a crystal with a 2 mm × 2 mm horizontal single-reflection diamond, followed by drying with a cold air flow to reduce the influence of water in the spectra. The reflection diamond was cleaned with ethanol 70% and distilled water between readings. In order to better visualize the results, multivariate analysis was used. The spectra, which were obtained in the OPUS format, were converted to JCAMP.DX and analyzed by principal component analysis (PCA) using an in-house developed data analysis package—CATS build 97. Principal component analysis (PCA) was used to find the major sources of variability in the data and detect outliers and the probable presence of clusters. Before PCA, the spectra were standard normal deviation (SNV)-corrected. The data were then used to construct graphics representing the score scatter and the resultant loadings profile with the GraphPad Prism 8.0.2.

2.8. Bioinformatic Analysis

The classification of protein families and the prediction of their putative roles were investigated with the InterPro (EMBL-EBI). The genetic regions of the ycaO gene (minus 10 kb and plus 10 kb) in different halobacteria were retrieved from the NCBI database, after tblastn search of YcaO from H. mediterranei in Microbial Blast (NCBI). The alignment of the genetic regions was performed with clinker [13], considering an identity threshold between groups of genes of 0.3. The number of genomes available for haloarchaea was based on the information available in the NCBI Microbial Genomes database (accessed on 9 November 2022). The sequence similarity network was performed with the EFI-EST tool [14] using the families option (IPR003776) and an E-value of 1. The final network was visualized with Cytoscape 3.9.1. [15].

3. Results and Discussion

3.1. Characterization of H. Mediterranei Growth and Antihaloarchaeal Activity on YPC Agar

The antimicrobial activity of H. mediterranei ATCC 33500 has been characterized primarily in agar media, and it is very reduced, or even absent, in broth. However, the production of biomass has been evaluated exclusively in broth. Therefore, we considered it important to establish protocols that evaluate, for instance, growth and gene transcription, just to name a few, with cultures in solid media. Thus, we started by characterizing H. mediterranei growth and antimicrobial activity on YPC agar over 5 days. The protocol of [11] was applied for the first time to H. mediterranei WR510, and the dilution of 1 × 10−4 was identified as the most appropriate for CFU counting. The growth curve obtained (Figure 2a) showed that the number of viable cells increased exponentially within the first 24 h (1.48 × 107 ± 5.01 × 106 CFUs/mL) and continued to slowly increase up to 48 h (8.13 × 107 ± 5.44 × 106 CFUs/mL). In the following three days, the number of viable cells stabilized until reaching 2.31 × 108 ± 5.31 × 107 CFUs/mL. This was similar to that obtained when H. mediterranei WR510 was cultivated in YPC broth since it entered the stationary phase after 32 h of growth [5]. The inhibition halos were measured to understand the increase in the antimicrobial activity of H. mediterranei during the 5 days (Figure 2b,c). In the first 24 h, no inhibition was evident against any of the indicator strains (Figure 2b). Then, the inhibitory activity strongly increased between 24 and 96 h (Figure 2b) and eventually stabilized between 96 h and 120 h (Figure 2b). Thus, the largest halos against both indicators were observed after 4 or 5 days of incubation. Even so, this type of assay does not allow us to clarify whether the increase in inhibition corresponds to a higher concentration of the antimicrobial compound(s) or whether it results from a greater diffusion of the antimicrobial compound(s) over time.

3.2. Transcriptional Analysis of the Biosynthetic Enzymes of RiPPs

As aforementioned, previous studies suggested that the two lanthipeptide clusters of H. mediterranei were not associated with the production of lantibiotics [5]. This is because the deletion of medM1, medM2, and medM3 genes, which encode the lanthipeptide synthetases, did not affect the activity against haloarchaea. However, this does not prove that they are not involved in lanthipeptides with bioactivity, as they may, for example, be cryptic genes, as seen for many microbial secondary metabolites [16,17]. Therefore, in this study, we filled that gap by investigating the transcription of medM1, medM2., and medM3 genes over time. Additionally, we also quantified the transcription of the ycaO gene, before proceeding to the generation of its knockout mutant. The results (Figure 3) show that, on average, the genes medM1, medM3, and ycaO were 10X less transcribed than the rpl16 gene, which is considered a highly expressed gene. Surprisingly, the transcripts encoding the medM2 were, on average, 1.8X higher than those of the rpl16 gene. The genes rpl16, haloM1, and ycaO reside in the main chromosome, whereas medM2 and medM3 co-localize in the megaplasmid pHM300. Thus, the difference observed between medM2 and medM3 transcription was unexpected. Considering the time of growth, results show that the copy number of all the transcripts tested did not increase after 24 h of growth. In fact, we observed a tendency to maintain or decrease over the three days tested (Figure 3). These results indicate that all four genes are transcriptionally active under the conditions tested. As such, we proceeded with the deletion of the ycaO gene and the evaluation of its antihaloarchaeal activity.

3.3. Generation of Haloazolisin Knockout Mutants and Their Antihaloarchaeal Activity

As abovementioned, previous studies showed that the deletion of medM1, medM2, and medM3 genes encoding the lanthipeptide synthetases in H. mediterranei did not affect its activity against other haloarchaea [5]. However, H. mediterranei has another putative RiPP cluster in its genome, encoding the biosynthesis of a type of TOMMs named haloazolisin [4]. As TOMMs usually have antimicrobial activity, we deleted the core biosynthetic gene ycaO to evaluate its involvement in the antihaloarchaea activity of H. mediterranei. The generation and confirmation of the ΔycaO mutant followed the same stages described in [5], which involved qPCR, given its sensibility. The number of viable cells and the inhibition ability of the mutant werer assessed after four days of growth. The results showed no difference between the amount of H. mediterranei ΔycaO (8.15 × 107 ± 1.89 ×107 CFUs/mL) and H. mediterranei WR510 (7.42 × 107 ± 2.77 × 106) viable cells. Therefore, any possible difference in the antihaloarchaea activity between the two strains could not be attributed to differences in biomass. Bioassays revealed that H. mediterranei ΔycaO retained inhibitory activity against haloarchaea (Figure 4a), although the size of the halos was slightly larger than those recorded in the wildtype (Figure 4b). These types of differences were not observed for H. mediterranei lacking the three medM genes [5]. Though diffusion assays are not very accurate, the halos of ΔycaO raised some doubts about the true role of YcaO in haloarchaea. Recently, the antagonistic activity of H. mediterranei was found to be promoted primarily by halolysins, which is a subtilin-like serine protease of haloarchaea [18].

3.4. In Silico Analysis of H. Mediterranei Haloazolisin Genetic Environment

The BGCs encoding the biosynthesis of lanthipeptides of H. mediterranei were previously analyzed in detail by [5]. At the time of their description, haloazolisins were defined as TOMM BGCs from haloarchaea harboring a fused cyclodehydratase with a small C-protein domain (herein YcaO) and a recognizable precursor peptide (herein haloA) [4]. In H. mediterranei, the proposed haloA gene was found eight genes upstream of the ycaO gene (Figure 5a,c). The genes immediately upstream and downstream of the ycaO gene encode proteins of unknown function (Figure 5a). The upstream and downstream regions of the ycaO gene of different haloarchaea were aligned in order to detect genes that can possibly compose the haloazolisin BGC (Figure S5). Results show that the genetic environment of ycaO varies, but with a tendency to be very similar within species of the same genus (e.g., Haloferax), especially the upstream region that includes an ORF encoding a protein of unknown function (immediately before ycaO) and an ORF encoding a serine hydroxymethyltransferase (SHMT) (Figure 5a). In fact, these two genes are found in all haloarchaeal genomes, even if not genetically close to ycaO. The array downstream of ycaO is more variable, but tblastn searches against available haloarchaeal genomes showed that they are conserved in haloarchaea, but not always located in proximity to ycaO. Focusing on the strains from the Haloferax genus, the H. mediterranei PP predicted by [4] is dissimilar to the ones predicted for H. gibbonsii, H. volcanii, and H. alexandrinus, which are encoded and overlapped with the folD gene (Figure 5). However, a homologous ORF was found in the folD region of H. mediterranei and H. larsenii (green ORFs in Figure 5). These ORFs were likely not previously considered since they possess the UAG and UGA codons, which are translational termination codons (Figure 5b). However, according to the codon usage table, the UAG is the weakest STOP codon of H. mediterranei. Therefore, comparative analysis of the ycaO genetic region among haloarchaea did not allow the identification of putative haloazolisin BGC constituents as has been possible for other RiPPs [5,19,20]. Moreover, the ycaO gene, as well as its surroundings, is found in all haloarchaeal genomes, a characteristic that is not seen in lanthipeptides BGCs [5] or the majority of RiPPs BCGs. In fact, the YcaO protein could be involved in the biosynthetic pathway found in all haloarchaea since it is encoded in all haloarchaeal genomes (354 proteins in 316 genomes according to InterPro). The YcaO superfamily is vast, and the functions of most of these proteins are still unknown. However, they are not always associated with the biosynthesis of RiPPs [21]. For instance, Ec-YcaO seems to be a scaffold protein that enhances the RimO-dependent β-thiomethylation of E. coli ribosomal protein S12 [22] (Figure 6). In Archaea, a YcaO is involved in the thioamidation of the active site of the methyl-coenzyme M reductase, which is essential for methanogenic and methanotrophic strains [23]. However, members of this family (IPR017667) represent a distinct clade among proteins with the YcaO-like domain (IPR003776), which does not include the YcaOs found encoded in haloarchaeal genomes (Figure 6).

3.5. FTIR Analysis of H. Mediterranei Lacking RiPPs Core Biosynthetic Enzymes

From what we know, LanM proteins have been always involved in pathways generating active RiPPs. However, as discussed previously, YcaO proteins can have other biological roles in addition to the biosynthesis of RiPPs. FTIR identifies chemical bonds in a molecule by producing an infrared absorption spectrum and can therefore generate a biochemical profile of microorganisms, considered to be a highly specific fingerprint that enables accurate microbial identification and the analysis of cell components [24,25,26,27]. It is an easy-to-perform technique using bacterial colonies, while being cheap (no reagents needed) and delivering fast results. Since it was proven to be highly sensitive and reproducible, it has been widely used for the identification and differentiation of bacteria, especially clinically relevant strains and foodborne pathogens [28,29,30]. Studies applying FTIR to halophilic archaea are scarce but have proven to be useful for specimen differentiation [31]. Therefore, in order to understand whether the absence of MedMs and YcaO impacted the biomolecular profile H. mediterranei, the ΔmedM1M2M3 and ΔycaO knockout mutants were analyzed by FTIR over 14 days (Figure 7a), and the spectra obtained were interpreted based on PCA analysis (Figure 7b,c) performed for the infrared region between 1800 and 800 cm−1, which was the more suitable for our study as it included protein, lipids, and fingerprint vibrations. The PCA analysis of the first day of growth showed that ΔmedM1M2M3 is the most distinct group, located in the upper left quadrant, while ΔycaO and WR510 were scattered along the remaining quadrants (Figure 7b). The wavenumbers, which better explain the ΔmedM1M2M3 distribution, were identified in the loadings plot profile (Figure 7c) to be 1150 cm−1, 1450/1550/1650 cm−1, and 1280 cm−1, which can be assigned to the vibration of phosphodiester bonds, amides (III, II, and I) from proteins, and lipids (including fatty acids) (Figure 7c, Table 1). On the sixth day, ΔycaO was the most distinct group, located primarily in the bottom right quadrant, while ΔmedM1M2M3 and WR510 occupied the upper and bottom left quadrants. Such separation is primarily characterized by a peak around 1750 cm−1 and another at 1650 cm−1 (Figure 7b) and wavenumbers ranging from 1137–1145 cm−1 and 1180–1190 cm−1 (Figure 7c, Table 1). These represent C=O bonds and C=C bonds, respectively, from lipids (including fatty acids), phosphate, and/or oligosaccharides, amides, and/or deoxyribose (Table 1).
Intriguingly, the strain ΔycaO was shown to be the most distinctive strain at this time point of the analysis. This shift can possibly be explained by the fact that, over time, discrepancies between ΔycaO and other groups could be more significant than the differences between ΔmedM1M2M3 and other strains. PCA analysis of the results after two weeks of growth showed that most of the samples of the same strain clustered within a unique quadrant, indicating that all of them differ from each other at the molecular level (Figure 7b). At this time point, ΔycaO was located primarily at the bottom right quadrant, ΔmedM1M2M3 occupied primarily the bottom left quadrant, and all samples from the WR510 group were located in the upper right quadrant with all the replicates forming a very isolated, small cluster (Figure 7b). The control strain, WR510, is marked by a predictable distinction at the phosphodiester bond level (Figure 7c). Furthermore, both ΔmedM1M2M3 and ΔycaO differ from WR510, as they are located in the bottom left quadrant, distinguished by a large peak at approximately 1740 cm−1 characterized by contributions of C=O and/or C=C from lipids. When compared to day 6, ΔycaO lost its notable variation in the wavenumber associated with amides and/or deoxyribose (1180–1190 cm−1) but retained variations in the levels of lipids (Table 1), further suggesting that the impairment of the YcaO protein can affect the cellular lipidome or interact with lipids. Lastly, of the four identified regions associated with variation for ΔmedM1M2M3, two of those (1050, 1373–1380 cm−1) may be associated with the deletion of the corresponding genes (Table 1). Moreover, changes in amides I and II were also observed on this day (1650–1550 cm−1) (Table 1). Overall, across all days of analysis, one of the differences identified involved the vibration related to nucleic acids (C-O-C from nucleic acids, phosphodiester bonds, and deoxyribose bonds, and C-N from nucleotide bases), which might be related to the gene deletions in the mutants. However, differences in the vibration of bonds present in lipids were also constant, suggesting that MedM1, MedM2, and MedM3 enzymes and YcaO’s cellular role might be directly or indirectly related to these biomolecules.

4. Conclusions

Herein, we describe the quantification of genes putatively involved in the biosynthesis of RiPPs by haloarchaea. Such analysis is usually performed using biomass from cultures in broth. However, most RiPPs act as antimicrobials, and H. mediterranei antihaloarchaea activity was observed exclusively in agar cultures, which motivated us to use biomass from agar cultures. The results show that the genes encoding the YcaO domain containing protein and lanthipeptide synthetases are transcribed, especially medM2. Investigation of the relationship between ycaO and antihaloarchaea activity showed no impact when the gene was deleted. Thus, so far, there is no experimental evidence supporting that RiPPs BGCs found in H. mediterranei are associated with the production of antimicrobials and, therefore, might have other biological roles. Thus, we performed FTIR analysis to identify possible biomolecules affected by the absence of LanM or YcaO proteins. FTIR is a valuable tool for screening purposes as it allows the analysis of colonies, the spectra generated distinguish molecules according to their structure, and it is an easy-to-perform, sensible, and cheap analytical technique. The major differences between strains were observed after 6 days of growth, but some of them might be related to the generation of the knockout mutants (absorption of the phosphodiester bond and amide bonds). Additionally, the absorption of C=O stretching regions from lipids (1750–1740 cm−1) also varied in both mutants, indicating that they have some differences. This may not be related to the cell membrane, where lipids are the major components since, in Archaea, an ether bond connects the lipid to the glycerol instead of an ester bond, as in Bacteria. Other known compounds that have C=O with strong absorption within 1750–1735 cm−1 are beta-lactones [33]. Thus, FTIR opened up new perspectives for further studies that should focus on the biological roles of these proteins for haloarchaea.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology12020236/s1, Figure S1: Schematic summary of the construction of recombinant plasmids; Figure S2: Schematic view of the transformation of H. mediterranei WR510 and the selection of knockout mutants; Figure S3: Schematic representation of the assay applied to evaluate H. mediterranei WR510 growth and antihaloarchaea activity; Figure S4: Schematic representation of the general procedure used to prepare H. mediterranei dot plates for RNA extraction and FTIR analysis; Figure S5: Alignment of the genetic regions containing ycaO genes (red ORF) in different haloarchaea; Table S1: Composition of haloarchaea culture media; Table S2: List of primers and respective amplification parameters used for amplification of flanking regions for the construction of knockout plasmids, pTA131 screening of knockout plasmids, and pop-in transformants.

Author Contributions

Conceptualization, T.S.C. and C.M.; methodology, T.C. and E.C.; formal analysis, T.C., E.C. and C.M.; resources, S.M.; writing—original draft preparation, T.C., E.C., C.M., S.M. and T.C.; supervision, T.C. and S.M.; All authors have read and agreed to the published version of the manuscript.

Funding

Tânia Caetano was funded by national funds (OE) through FCT—Fundação para a Ciência e a Tecnologia, I.P. in the scope of the framework contract foreseen in numbers 4, 5, and 6 of article 23, of the Decree-Law 57/2016, of 29 August, changed by Law 57/2017, of July (CEECIND/01463/2017). Thanks are due to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020+LA/P/0094/2020) through national funds.

Institutional Review Board Statement

This study did not require ethical approval.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Tânia Caetano was funded by national funds (OE), through FCT—Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen in numbers 4, 5, and 6 of article 23, of the Decree-Law 57/2016 of 29 August, changed by Law 57/2017 of July (CEECIND/01463/2017). Thanks are due to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020+LA/P/0094/2020) through national funds. We also are grateful to Doctor Liliana Santos for the valuable advice in applying FTIR analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Montalbán-López, M.; Scott, T.A.; Ramesh, S.; Rahman, I.R.; van Heel, A.J.; Viel, J.H.; Bandarian, V.; Dittmann, E.; Genilloud, O.; Goto, Y.; et al. New Developments in RiPP Discovery, Enzymology and Engineering. Nat. Prod. Rep. 2021, 38, 130–239. [Google Scholar] [CrossRef]
  2. Arnison, P.G.; Bibb, M.J.; Bierbaum, G.; Bowers, A.A.; Bugni, T.S.; Bulaj, G.; Camarero, J.A.; Campopiano, D.J.; Challis, G.L.; Clardy, J.; et al. Ribosomally Synthesized and Post-Translationally Modified Peptide Natural Products: Overview and Recommendations for a Universal Nomenclature. Nat. Prod. Rep. 2013, 30, 108–160. [Google Scholar] [CrossRef]
  3. Zhong, Z.; He, B.; Li, J.; Li, Y.-X. Challenges and Advances in Genome Mining of Ribosomally Synthesized and Post-Translationally Modified Peptides (RiPPs). Synth. Syst. Biotechnol. 2020, 5, 155–172. [Google Scholar] [CrossRef]
  4. Cox, C.L.; Doroghazi, J.R.; Mitchell, D.A. The Genomic Landscape of Ribosomal Peptides Containing Thiazole and Oxazole Heterocycles. BMC Genomics 2015, 16, 778. [Google Scholar] [CrossRef]
  5. Castro, I.; Costa, H.; Turgeman-Grott, I.; Allers, T.; Mendo, S.; Caetano, T. The Lanthipeptide Biosynthetic Clusters of the Domain Archaea. Microbiol. Res. 2021, 253, 126884. [Google Scholar] [CrossRef]
  6. Repka, L.M.; Chekan, J.R.; Nair, S.K.; van der Donk, W.A. Mechanistic Understanding of Lanthipeptide Biosynthetic Enzymes. Chem. Rev. 2017, 117, 5457–5520. [Google Scholar] [CrossRef]
  7. Melby, J.O.; Nard, N.J.; Mitchell, D.A. Thiazole/Oxazole-Modified Microcins: Complex Natural Products from Ribosomal Templates. Curr. Opin. Chem. Biol. 2011, 15, 369–378. [Google Scholar] [CrossRef]
  8. Travin, D.Y.; Bikmetov, D.; Severinov, K. Translation-Targeting RiPPs and Where to Find Them. Front. Genet. 2020, 11, 1–16. [Google Scholar] [CrossRef]
  9. Bitan-Banin, G.; Ortenberg, R.; Mevarech, M. Development of a Gene Knockout System for the Halophilic Archaeon Haloferax Volcanii by Use of the PyrE Gene. J. Bacteriol. 2003, 185, 772–778. [Google Scholar] [CrossRef]
  10. Allers, T.; Ngo, H.-P.; Mevarech, M.; Lloyd, R.G. Development of Additional Selectable Markers for the Halophilic Archaeon Haloferax Volcanii Based on the LeuB and TrpA Genes. Appl. Environ. Microbiol. 2004, 70, 943–953. [Google Scholar] [CrossRef] [Green Version]
  11. Thomas, P.; Sekhar, A.C.; Upreti, R.; Mujawar, M.M.; Pasha, S.S. Optimization of Single Plate-Serial Dilution Spotting (SP-SDS) with Sample Anchoring as an Assured Method for Bacterial and Yeast Cfu Enumeration and Single Colony Isolation from Diverse Samples. Biotechnol. Rep. 2015, 8, 45–55. [Google Scholar] [CrossRef]
  12. Hwang, S.; Chavarria, N.E.; Hackley, R.K.; Schmid, A.K.; Maupin-Furlow, J.A. Gene Expression of Haloferax Volcanii on Intermediate and Abundant Sources of Fixed Nitrogen. Int. J. Mol. Sci. 2019, 20, 4784. [Google Scholar] [CrossRef]
  13. Gilchrist, C.L.M.; Chooi, Y.-H. Clinker & Clustermap.Js: Automatic Generation of Gene Cluster Comparison Figures. Bioinformatics 2021, 37, 2473–2475. [Google Scholar] [CrossRef]
  14. Zallot, R.; Oberg, N.; Gerlt, J.A. The EFI Web Resource for Genomic Enzymology Tools: Leveraging Protein, Genome, and Metagenome Databases to Discover Novel Enzymes and Metabolic Pathways. Biochemistry 2019, 58, 4169–4182. [Google Scholar] [CrossRef]
  15. Shannon, P.; Markiel, A.; Ozier, O.; Baliga, N.S.; Wang, J.T.; Ramage, D.; Amin, N.; Schwikowski, B.; Ideker, T. Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Genome Res. 2003, 13, 2498–2504. [Google Scholar] [CrossRef]
  16. Scherlach, K.; Hertweck, C. Mining and Unearthing Hidden Biosynthetic Potential. Nat. Commun. 2021, 12, 3864. [Google Scholar] [CrossRef] [PubMed]
  17. Gupta, A.; Bedre, R.; Thapa, S.S.; Sabrin, A.; Wang, G.; Dassanayake, M.; Grove, A. Global Awakening of Cryptic Biosynthetic Gene Clusters in Burkholderia Thailandensis. ACS Chem. Biol. 2017, 12, 3012–3021. [Google Scholar] [CrossRef] [PubMed]
  18. Chen, S.; Sun, S.; Wang, R.; Feng, H.; Xiang, H. Haloferax Mediterranei Halolysin R4 Confers Antagonistic and Defensive Capabilities. Appl. Environ. Microbiol. 2021, 87, e02889-20. [Google Scholar] [CrossRef]
  19. Caetano, T.; van der Donk, W.; Mendo, S. Bacteroidetes Can Be a Rich Source of Novel Lanthipeptides: The Case Study of Pedobacter Lusitanus. Microbiol. Res. 2020, 235, 126441. [Google Scholar] [CrossRef]
  20. Figueiredo, G.; Gomes, M.; Covas, C.; Mendo, S.; Caetano, T. The Unexplored Wealth of Microbial Secondary Metabolites: The Sphingobacteriaceae Case Study. Microb. Ecol. 2022, 83, 470–481. [Google Scholar] [CrossRef]
  21. Burkhart, B.J.; Schwalen, C.J.; Mann, G.; Naismith, J.H.; Mitchell, D.A. YcaO-Dependent Posttranslational Amide Activation: Biosynthesis, Structure, and Function. Chem. Rev. 2017, 117, 5389–5456. [Google Scholar] [CrossRef]
  22. Strader, M.B.; Costantino, N.; Elkins, C.A.; Chen, C.Y.; Patel, I.; Makusky, A.J.; Choy, J.S.; Court, D.L.; Markey, S.P.; Kowalak, J.A. A Proteomic and Transcriptomic Approach Reveals New Insight into β-Methylthiolation of Escherichia Coli Ribosomal Protein S12. Mol. Cell. Proteomics 2011, 10, M110.005199. [Google Scholar] [CrossRef] [PubMed]
  23. Mahanta, N.; Liu, A.; Dong, S.; Nair, S.K.; Mitchell, D.A. Enzymatic Reconstitution of Ribosomal Peptide Backbone Thioamidation. Proc. Natl. Acad. Sci. USA 2018, 115, 3030–3035. [Google Scholar] [CrossRef]
  24. Preisner, O.; Lopes, J.A.; Guiomar, R.; Machado, J.; Menezes, J.C. Fourier Transform Infrared (FT-IR) Spectroscopy in Bacteriology: Towards a Reference Method for Bacteria Discrimination. Anal. Bioanal. Chem. 2007, 387, 1739–1748. [Google Scholar] [CrossRef] [PubMed]
  25. Naumann, D. Infrared Spectroscopy in Microbiology. In Encyclopedia of Analytical Chemistry; John Wiley & Sons, Ltd.: Chichester, UK, 2006. [Google Scholar]
  26. Sivakesava, S.; Irudayaraj, J.; DebRoy, C. Differentitation of Microorganisms by FTIR-ATR and NIR Spectroscopy. Trans. ASAE 2004, 47, 951–957. [Google Scholar] [CrossRef]
  27. Mariey, L.; Signolle, J.P.; Amiel, C.; Travert, J. Discrimination, Classification, Identification of Microorganisms Using FTIR Spectroscopy and Chemometrics. Vib. Spectrosc. 2001, 26, 151–159. [Google Scholar] [CrossRef]
  28. Erukhimovitch, V.; Pavlov, V.; Talyshinsky, M.; Souprun, Y.; Huleihel, M. FTIR Microscopy as a Method for Identification of Bacterial and Fungal Infections. J. Pharm. Biomed. Anal. 2005, 37, 1105–1108. [Google Scholar] [CrossRef] [PubMed]
  29. Moreirinha, C.; Trindade, J.; Saraiva, J.A.; Almeida, A.; Delgadillo, I. MIR Spectroscopy as Alternative Method for Further Confirmation of Foodborne Pathogens Salmonella Spp. and Listeria Monocytogenes. J. Food Sci. Technol. 2018, 55, 3971–3978. [Google Scholar] [CrossRef] [PubMed]
  30. Puzey, K.A.; Gardner, P.J.; Petrova, V.K.; Donnelly, C.W.; Petrucci, G.A. Automated Species and Strain Identification of Bacteria in Complex Matrices Using FTIR Spectroscopy; Fountain, A.W., III, Gardner, P.J., Eds.; SPIE: Bellingham, WA, USA, 2008; p. 695412. [Google Scholar]
  31. Alaettin Guven, K.G. FT-IR for Rapid Discrimination of Halophilic Archaea and Bacteria. J. Phylogen. Evol. Biol. 2015, 3. [Google Scholar] [CrossRef]
  32. Movasaghi, Z.; Rehman, S.; ur Rehman, D.I. Fourier Transform Infrared (FTIR) Spectroscopy of Biological Tissues. Appl. Spectrosc. Rev. 2008, 43, 134–179. [Google Scholar] [CrossRef]
  33. Jones, R.N.; Angell, C.L.; Ito, T.; Smith, R.J.D. The Carnonyl Stretching Bands in the Infrared Spectra of the Unsaturated Lactones. Can. J. Chem. 1959, 37, 2007–2022. [Google Scholar] [CrossRef]
Figure 1. BGCs of lanthipeptides (a) and haloazolisin (b) found in H. mediterranei ATCC 33500 genome. Grey ORFs have unknown functions. A1-A3 represent putative medA structural genes and haloA encodes the structural gene predicted by [4] as haloazolisin PP. The N-terminal of ycaO gene (yellow) encodes a barely recognizable C-protein domain.
Figure 1. BGCs of lanthipeptides (a) and haloazolisin (b) found in H. mediterranei ATCC 33500 genome. Grey ORFs have unknown functions. A1-A3 represent putative medA structural genes and haloA encodes the structural gene predicted by [4] as haloazolisin PP. The N-terminal of ycaO gene (yellow) encodes a barely recognizable C-protein domain.
Biology 12 00236 g001
Figure 2. Characterization of H. mediterranei growth and antihaloarchaea activity in YPC agar for 5 days. The number of viable cells in the dot biomass growing in agar plates (a) and the size of their inhibition halos against the haloarchaea H. salinarum and H. volcanii (b). The increase in the halos against H. salinarum is also shown, as a visual example of inhibition (c).
Figure 2. Characterization of H. mediterranei growth and antihaloarchaea activity in YPC agar for 5 days. The number of viable cells in the dot biomass growing in agar plates (a) and the size of their inhibition halos against the haloarchaea H. salinarum and H. volcanii (b). The increase in the halos against H. salinarum is also shown, as a visual example of inhibition (c).
Biology 12 00236 g002
Figure 3. Quantification of transcripts encoding the lanthipeptide synthetases and the YcaO protein in H. mediterranei YPC agar cultures over three days, normalized with the gene rpl16 copy number.
Figure 3. Quantification of transcripts encoding the lanthipeptide synthetases and the YcaO protein in H. mediterranei YPC agar cultures over three days, normalized with the gene rpl16 copy number.
Biology 12 00236 g003
Figure 4. Inhibition halos of H. mediterranei WR510 and ΔycaO against H. volcanii after 4 days of growth (a) and corresponding sizes in mm (b).
Figure 4. Inhibition halos of H. mediterranei WR510 and ΔycaO against H. volcanii after 4 days of growth (a) and corresponding sizes in mm (b).
Biology 12 00236 g004
Figure 5. Alignment of the genetic environment of H. mediterranei containing the ycaO and the haloA genes with other Haloferax spp. (a), showing the function of the proteins encoded (UF stands for unknown function and, if identified, the reference to the domain is also given). The genes encoding haloazolisin’s PPs predicted by [4] are highlighted in yellow (a) and the amino acid sequences are shown in (b,c). A gene encoding a PP similar to those found in H. gibbonsii, H. volcanii, and H. alexandrinus was also identified in H. mediterranei and H. larsenii (green ORF in (a) and respective amino acid sequence in (b)), but its sequence has UAG (+) and UGA (*) codons, which are termination codons.
Figure 5. Alignment of the genetic environment of H. mediterranei containing the ycaO and the haloA genes with other Haloferax spp. (a), showing the function of the proteins encoded (UF stands for unknown function and, if identified, the reference to the domain is also given). The genes encoding haloazolisin’s PPs predicted by [4] are highlighted in yellow (a) and the amino acid sequences are shown in (b,c). A gene encoding a PP similar to those found in H. gibbonsii, H. volcanii, and H. alexandrinus was also identified in H. mediterranei and H. larsenii (green ORF in (a) and respective amino acid sequence in (b)), but its sequence has UAG (+) and UGA (*) codons, which are termination codons.
Biology 12 00236 g005
Figure 6. Sequence Similarity Network (SSN) of proteins containing the YcaO-like domain (IPR003776), where each node represents a protein encoded in the genome of Archaea or Bacteria. Groups of proteins with other domains identified as being involved in the production of RiPPs (TOMMs) are marked, as well as groups with YcaO proteins not involved in RiPPs biosynthesis (methanogens—IPR003776 and IPR041080). YcaOs of haloarchaea is found in a separate group of uncharacterized proteins. Singletons and groups with a low number of nodes were excluded.
Figure 6. Sequence Similarity Network (SSN) of proteins containing the YcaO-like domain (IPR003776), where each node represents a protein encoded in the genome of Archaea or Bacteria. Groups of proteins with other domains identified as being involved in the production of RiPPs (TOMMs) are marked, as well as groups with YcaO proteins not involved in RiPPs biosynthesis (methanogens—IPR003776 and IPR041080). YcaOs of haloarchaea is found in a separate group of uncharacterized proteins. Singletons and groups with a low number of nodes were excluded.
Biology 12 00236 g006
Figure 7. Results of FTIR analysis of H. mediterranei WR510, ΔmedM1M2M3, and ΔycaO strains grown in YPC agar plates over 14 days. Panel (a) shows the general spectra obtained (mean of all replicates), while panels (b,c) present the results of PCA analysis. (b) Scores scatter plot; (c) loadings plot profile.
Figure 7. Results of FTIR analysis of H. mediterranei WR510, ΔmedM1M2M3, and ΔycaO strains grown in YPC agar plates over 14 days. Panel (a) shows the general spectra obtained (mean of all replicates), while panels (b,c) present the results of PCA analysis. (b) Scores scatter plot; (c) loadings plot profile.
Biology 12 00236 g007
Table 1. Summary of the wavenumbers and their possible assignments that caused the observed distribution in the PCA analysis (Figure 7b,c), for each day of analysis and according to [32].
Table 1. Summary of the wavenumbers and their possible assignments that caused the observed distribution in the PCA analysis (Figure 7b,c), for each day of analysis and according to [32].
TimeStrainWavenumber
(cm−1)
Functional Group Assignments
Day 1ΔmedM1M2M31150Phosphodiester bonds
1280Amides; Nucleic acids
1450Lipids, including fatty acids; Amide III
1550Amide II
1650Amide I
Day 6ΔycaO1137–1145Phosphate and/or oligosaccharides
1180–1190Amides and/or deoxyribose
1650Amide I
1740–1750C=O from lipids
Day 14WR5101150Phosphodiester bonds
ΔycaO1430–1450Polysaccharides and/or lipids, including fatty acids; Amide III
1740–1750C=O from lipids; C=C from lipids including fatty acids
ΔmedM1M2M31050Phosphate; Oligosaccharides and/or C-O-C from nucleic acids and phospholipids
1373–1380C-N from guanines and/or cytosines; C-O and/or C-H and/or N-H
1534Amide II
1550Amide II
1650Amide I
1740–1750C=O from lipids
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.

Share and Cite

MDPI and ACS Style

Costa, T.; Cassin, E.; Moreirinha, C.; Mendo, S.; Caetano, T.S. Towards the Understanding of the Function of Lanthipeptide and TOMM-Related Genes in Haloferax mediterranei. Biology 2023, 12, 236. https://doi.org/10.3390/biology12020236

AMA Style

Costa T, Cassin E, Moreirinha C, Mendo S, Caetano TS. Towards the Understanding of the Function of Lanthipeptide and TOMM-Related Genes in Haloferax mediterranei. Biology. 2023; 12(2):236. https://doi.org/10.3390/biology12020236

Chicago/Turabian Style

Costa, Thales, Elena Cassin, Catarina Moreirinha, Sónia Mendo, and Tânia Sousa Caetano. 2023. "Towards the Understanding of the Function of Lanthipeptide and TOMM-Related Genes in Haloferax mediterranei" Biology 12, no. 2: 236. https://doi.org/10.3390/biology12020236

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop