Skip to main content
Polymers logoLink to Polymers
. 2021 Oct 13;13(20):3524. doi: 10.3390/polym13203524

Rubber Degrading Strains: Microtetraspora and Dactylosporangium

Ann Anni Basik 1,2, Jayaram Nanthini 3, Tiong Chia Yeo 2, Kumar Sudesh 1,*
Editors: Huihuang Ding, Qingbin Guo
PMCID: PMC8538451  PMID: 34685283

Abstract

Rubber composed of highly unsaturated hydrocarbons, modified through addition of chemicals and vulcanization are widely used to date. However, the usage of rubber, faces many obstacles. These elastomeric materials are difficult to be re-used and recovered, leading to high post-consumer waste and vast environmental problems. Tyres, the major rubber waste source can take up to 80 years to naturally degrade. Experiments show that the latex clearing proteins (Lcp) found in Actinobacteria were reportedly critical for the initial oxidative cleavage of poly(cis-1,4-isoprene), the major polymeric unit of rubber. Although, more than 100 rubber degrading strains have been reported, only 8 Lcp proteins isolated from Nocardia (3), Gordonia (2), Streptomyces (1), Rhodococcus (1), and Solimonas (1) have been purified and biochemically characterized. Previous studies on rubber degrading strains and Lcp enzymes, implied that they are distinct. Following this, we aim to discover additional rubber degrading strains by randomly screening 940 Actinobacterial strains isolated from various locations in Sarawak on natural rubber (NR) latex agar. A total of 18 strains from 5 genera produced clearing zones on NR latex agar, and genes encoding Lcp were identified. We report here lcp genes from Microtetraspora sp. AC03309 (lcp1 and lcp2) and Dactylosporangium sp. AC04546 (lcp1, lcp2, lcp3), together with the predicted genes related to rubber degradation. In silico analysis suggested that Microtetraspora sp. AC03309 is a distinct species closely related to Microtetraspora glauca while Dactylosporangium sp. AC04546 is a species closely related to Dactylosporangium sucinum. Genome-based characterization allowed the establishment of the strains taxonomic position and provided insights into their metabolic potential especially in biodegradation of rubber. Morphological changes and the spectrophotometric detection of aldehyde and keto groups indicated the degradation of the original material in rubber samples incubated with the strains. This confirms the strains’ ability to utilize different rubber materials (fresh latex, NR product and vulcanized rubber) as the sole carbon source. Both strains exhibited different levels of biodegradation ability. Findings on tyre utilization capability by Dactylosporangium sp. AC04546 is of interest. The final aim is to find sustainable rubber treatment methods to treat rubber wastes.

Keywords: biodegradation, Dactylosporangium, genome, latex clearing protein, Microtetraspora

1. Introduction

There is a great interest in developing environmentally sustainable methods to solve the rubber waste problem globally. Rubber consisting of poly(cis-1,4-isoprene) or poly(trans-1,4-isoprene) are highly modified through compounding and vulcanization in industrial processes and are used in more than 50,000 products today [1,2]. Rubber materials are resistant to thermal and chemical degradation. They are also difficult to re-use or recycle. And the majority of them are just discarded in landfills [3,4,5]. Robust, economical, and easily scalable methods for converting rubber products or waste into by-products or composites that ideally can be reused are desperately needed.

Rubber-degrading enzymes, produced by microbes, are a key discovery for biological rubber degradation. They consist of latex clearing protein (Lcp), mainly present in Actinobacteria and rubber oxygenases (RoxA and RoxB) found in Gram negative rubber degraders. There are 2 groups of rubber-degrading bacteria: (i) strains that produce clear zones on NR latex agar and (ii) strains that require direct contact with rubber substrates for subsequent degradation [6,7,8]. In both cases, enzymes produced by the bacteria extracellularly cleave rubber polymers containing hydrocarbon with a molecular weight (Mw) of 105 to 106 into mixtures of low Mw products C20, C25, C30 and higher oligo-isoprenoids as end products [9,10,11]. Oligomers with an Mw higher than 2000 were slowly degraded by microbes, while short oligomers of roughly 1000 Mw were rapidly consumed by the organism [12].

Actinobacteria are an integral part of the indigenous soil microflora, unique for their ability to degrade a large variety of organic materials, their high catabolic capacity, and their resilience in the face of unfavorable environmental conditions [13,14]. The same species of Actinobacteria growing in different locations or ecological niches are known to produce environmentally specific metabolites [15,16]. Biodiversity in Sarawak is a great advantage in our field of study. Actinobacteria that have evolved genes encoding catabolic enzymes that are functionally capable of degrading modified rubber are a potential solution for the end-of-life management of rubber products [4,17,18].

Our present survey of the Sarawak Biodiversity Centre (SBC) (https://www.sbc.org.my/, accessed on 5 June 2021) Actinobacteria Culture Collection is geared towards discovering novel rubber-degrading Actinobacteria. Most rubber-degrading strains discovered to date belong to the phylum, Actinobacteria (mainly Streptomyces, Gordonia, Nocardia and Rhodococcus) and are rarely found among Gram-negative bacteria and fungi [4,19,20,21]. Furthermore, several findings proved that different rubber-degrading strains possess different rubber-degrading ability. Nocardia genus, in particular Nocardia nova SH22a, has been characterized for its ability to degrade both poly(cis-1,4-isoprene) and poly(trans-1,4-isoprene) rubber [22,23]. The biochemical study of Lcp from Rhodococcus rhodocrous RPK1 showed substantial differences in its active site compared to Lcp of Streptomyces sp. K30 and Gordonia polyisoprenivorans VH2 [24]. In addition to that, a combination of different rubber oxygenases (RoxA/RoxB/Lcp) had a synergistic effect on rubber degradation [9]. The degradation rate of rubber products was also greatly improved when utilizing a consortium of rubber-degrading strains instead of using a specific strain [25,26]. To augment existing information and evaluate the diverse activities in these groups of bacteria, findings, and the characterization of new rubber degraders and their metabolic capacity, are required.

To date, a total of 248 lcp genes have been deposited into GenBank. This screening program led to the discovery of 2 new rubber-degrading genera, Microtetraspora and Dactylosporangium containing rubber-degrading genes. Limited information is available for both genera due their low isolation frequency. Classified as “rare Actinobacteria” only 22 and 16 Type strains have been published to date for Microtetraspora and Dactylosporangium, respectively [27]. There have been no reports on the biodegradation ability of Microtetraspora and Dactylosporangium, and their genome-based characterization as rubber degraders.

2. Materials and Methods

This research was carried out by firstly detecting rubber-degrading strains by screening them on natural rubber (NR) latex agar. Clear zone formation on NR latex agar indicated the ability of the strain to utilize NR latex. These strains were then morphologically and molecularly characterized. Based on the strain taxonomic and latex-clearing protein (lcp) genes characterization information, strains of interests of Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 were selected for further studies. In silico studies of their genome through genomic sequencing were used to determine the strains’ novelty (taxonomic position, rubber-degrading genes and specialty genes). Both strains were also tested for their ability to utilize NR and vulcanized rubber (VR) as the sole carbon and energy source. The research approach flow chart is depicted in Supplementary Figure S1.

2.1. Screening for Clear Zone Forming Strains on Natural Rubber (NR) Latex Agar

Natural rubber (NR) latex agar preparation: the NR Latex agar preparation was modified from Braaz et al., 2004. [28] Mineral Salts Medium (MSM) per litre [K2HPO4, 8.0 g; KH2PO4, 1.0 g; (NH4)2SO4, 0.5 g; MgSO4·7H2O, 0.2 g; NaCl, 0.1 g; Ca(NO3)2, 0.1 g; 15 g agar] were added with 0.02% (v/v) NR latex concentrate and was sterilized by autoclaving for 15 min at 121 °C, 15 psi. After sterilization, 1 mL of 100× trace element solution was added.

NR latex concentrate: Crude rubber latex consists of 6% non-rubber constituents, mainly protein. High speed centrifugation was used to remove protein from freshly collected rubber latex. Fresh latex was transferred into high-speed polycarbonate centrifuge tube and equal volume of 0.002 % (v/v) Tween 80 was added, mixed well and then separated by centrifugation (5 min at 19,320× g). This washing step was repeated. The top layer or NR latex concentrate was removed and used to prepare the NR latex agar [29].

Trace elements (100×) per 100 mL [containing CaCl2·2H2O, 0.2 g; FeSO4·7H2O, 0.2 g; Na2MoO4·H2O, 5 mg; and MnSO4, 5 mg] were filter-sterilized [30].

MSM agar with NR latex concentrate were then transferred into 6-well plates (4 mL per well). Actinobacterial cultures cultivated in Yeast Malt Extract (ISP2) broth [31] for 3 to 14 days were spotted (40 µL) onto each agar well. The plates were incubated at 28 °C for up to 4 weeks. Colonies that produced translucent clearing zones, indicating the degradation of the NR latex, were recorded.

2.2. Identification of Clear Zone Forming Strains on Natural Rubber (NR) Latex Agar

Strains producing clear zones were taxonomically identified based on their morphological features and molecular techniques. Strains that were cultivated in ISP2 agar plate were used to capture and describe their morphology. Strains that were cultivated on Soil Extract agar (SEA) were used to observed the strains spore-forming structures [32]. SEA agar promotes the strains formation of spores and are translucent, easy for direct observation using a 50× long distance (Olympus LMPLFLN, Tokyo, Japan). Molecular identification was made based on the amplification of the 16S rDNA gene using primer 27F (5′-AGAGTTTGATCMTGGCTCAG-3′) and 1492R (5′-TACGGYTACCTTGTTACGACTT-3′) with the following parameters: 5 min at 96 °C, 30 cycles of 45 s at 96 °C, 2 min at 55 °C, 4 min at 72 °C and the final extension for 7 min at 72 °C. The amplified products were sent to Apical Scientific Sdn. Bhd., Selangor, Malaysia for sequencing. Sequence quality was checked using Sequence scanner version 2.0 (Applied Biosystems, Waltham, MA, United States) [33] and assembled by manual alignment (cap contig) using BioEdit software version 7.0.5.3 (North Carolina State University, Raleigh, NC, USA) [34]. The sequences were subjected to online BLASTN analysis against the 16S ribosomal RNA sequences (Bacteria and Archaea). Phylogenetic tree was generated using MEGA X software (Penn State University, State College, PA, USA) [35].

2.3. Profiling of Latex Clearing Protein (Lcp) Genes

The presence of lcp genes in the strains that produced clearing zones on NR agar were screened and amplified using the following primers: lcp441f [5′-GGAG(TG)C(GC)GC(GC)GTCTACTACTC-3′] and lcp879r [5′-GATCGG(AG)T(TC)GAG(AGC)ACCTGC-3′] [30], lcp1f [5′-ATGGAGAATCTCAGTAGACGT-3′] and lcp1199r [5′-ATGACCGGAATGGTGATCGG-3′], designed based on the conserved regions of published lcp gene sequences (Micromonospora sp. WMMB235 (ENA accession number MDRX01000001), Micromonospora sp. TSRI0369 (ENA accession number LIVU01000002), Micromonospora sp. NRRL B-16802 (ENA accession number NZLGEB01000064), Micromonospora echinospora ATCC15837 (ENA accession number NGNT01000005). The target genes were amplified using the following parameters: 2 min at 95 °C, 30 cycles of 30 s at 95 °C, 1 min at 55–65 °C, 2 min at 72 °C and the final extension for 5 min at 72 °C. Annealing temperature was optimized for each strain.

Amplified products were sent to Apical Scientific Sdn. Bhd., Selangor, Malaysia for sequencing. Sequence quality was checked using a Sequence scanner version 2.0 (Applied Biosystems, Waltham, MA, USA) [33] and assembled by manual alignment (cap contig) using BioEdit software version 7.0.5.3 (North Carolina State University, Raleigh, NC, USA) [34]. The sequence’s blast homology was compared to the UniProt database [36]. Nucleotide sequences were translated into amino acids using ExPASy (SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland) [37] to identify the open reading frame (ORF). ORF were subjected to BlastP (GenBank, MD, USA) to obtain Protein Blast homology.

2.4. Genomic Deoxyribonucleic Acid (DNA) Isolation

Genomic DNA (gDNA) for Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 were extracted and purified using an adapted method from Moore et al., (2008) [38]. Strains were first cultivated in 20 mL ISP2 broth in a 250 mL flask at 28 °C, 180 rpm for 7 to 10 days. Harvested Actinobacterial cells were centrifuged and washed with sterile water twice to remove any growth media. The cells (~0.1 g) in PCR tubes were then resuspended in 550 µL 1xTris-EDTA buffer and mixed well. Lysozyme (for cell lysis) with final concentration of 2 mg mL−1 and 5 µL Rnase A solution (10 mg mL−1) were added and incubated at 37 °C for 90 min. Then 10% (v/v) SDS (final concentration 1% v/v) and Proteinase K 10 mg mL−1 (final concentration 1 mg mL−1) were added and incubated at 65 °C for 90 min. SDS is an anionic detergent which binds cellular proteins and lipoproteins, effectively denaturing them and promoting the dissociation of nucleic acids. 5M NaCl was added (final concentration 0.7 M) and incubated at 65 °C for 2 min, then pre-warmed CTAB (hexadecyltrimethylammonium bromide) (final concentration 1% v/v) was added and incubated at 65 °C for another 10 min. CTAB has also been proven useful for DNA extractions from bacterial cells by denaturing and precipitating the cell wall lipopolysaccharides and proteins. In the presence of monovalent cation (e.g., Na+) concentrations above 0.5 M, DNA will remain soluble.

To purify the gDNA sample, equal volume (v/v) of CIA (24: 1, chloroform: isoamyl alcohol) was added, inverted to mix, and centrifuge at 10,000 rpm for 5 min. This step was repeated twice. The top layer was transferred and added with equal volume of isopropanol. The sample is kept at −20 °C overnight to allow gDNA to precipitate. Genomic DNA was pellet by centrifuging at 14,000 rpm for 15 min. Isopropanol was removed, and the gDNA pellet washed with 70% molecular grade ethanol. Genomic DNA was pellet by centrifuging at 14,000 rpm for 15 min. Ethanol was discarded and the tube containing gDNA pellet was left to air dry. Finally, the gDNA was resuspended in 10 mM Tris-HCL buffer pH8.5. DNA quantity and quality was checked using BioSpectrophotometer (Eppendorf AG, Germany).

Genomic DNA was then analyzed for its integrity and purity using gel electrophoresis. A minimum amount of 200 ng gDNA eluted in 30 µL Tris-HCl buffer (DNA concentration 6 µg) was required for library preparation (Nextera XT Library Prep Kit, Illumina, CA, USA) prior to sequencing. The purified DNA samples were subsequently sent for genomic sequencing using Illumina MiSeq sequencer (Illumina, CA, USA) and were assembled (SPAdes) by service provider BioEasy Sdn. Bhd., Selangor, Malaysia.

Genomic DNA extraction was also carried out for all the clear zone forming strains for 16S rRNA and latex-clearing protein (lcp) gene amplification using polymerase chain reaction (PCR).

2.5. Genome Attributes and Annotation

Draft genome for Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 were annotated using RAST server version 2.0 [39], PATRIC server version 3.6.12 [40] and NCBI Prokaryotic Genome Annotation Pipeline (PGAP) [41]. Gene function annotation for Clusters of Orthologous Groups (COGs) were carried out using egg-NOG mapper v.2 [42]. COG retain the same function and are orthologous across at least three lineages, likely corresponds to an ancient, conserved domain [43]. To determine the related genes/protein and location in a pathway, the KEGG Pathway database was used [44]. Clustered regularly interspaced short palindromic repeats (CRISPRs) were used to depict the genome readability for bacteriophage exposure and genome-editing [45]. To predict the antibiotic-resistant genes, antibiotic-resistant homologs search was carried out in the CARD database (https://card.mcmaster.ca/analyze/rgi, accessed on 5 June 2021) [46]. Drug targets were identified using PARTIC server [40] and verified using DrugBank 5.0 [47].

The strains’ ability to produce secondary metabolites was predicted using The Antibiotics and Secondary Metabolite Analysis Shell (AntiSMASH) 6.0 software [48].

To determine the location of protein-coding genes (CDS) and open reading frame (ORF) on the draft genome, sequence contigs were viewed using The SEED Viewer [49] and SnapGene Viewer (https://www.snapgene.com/, accessed on 5 March 2020).

CDS and amino acid sequence for latex clearing protein (Lcp), 1-oxidoreductase beta subunit (oxiB) and 1-oxidoreductase alpha subunit (oxiA) were verified through the presence of ribosome-binding site (RBS), and comparison with sequences in UniProt [50] and GenBank database. The prediction of twin arginine translocation (Tat) signal peptides was carried out using TatP 1.0 server (Department of Health and Technology, Lyngby, Denmark) [51]. ExPASy was used to determine the predicted protein molecular weight (Mw) and their theoretical isoelectric point (pI) [37].

2.6. Taxonomic Delineation

The taxonomic position of Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 was determined using polyphasic approaches, including (i) 16S rRNA gene-based method, (ii) average nucleotide identity (ANI) using FastANI (KBase Software, U.S. Department of Energy, Washington, DC, USA) [52], (iii) in silico DNA-DNA hybridization (dDDH) estimate method and (iv) genome relatedness and phylogenetic analysis. Both dDDH and phylogenetic analysis (16S rRNA and genome) was conducted using Type (Strain) Genome Server (TYGS) (DSMZ, Braunschweig, Germany) [53]. A minimum of 20% of the genome is required to obtain the same result as the full genome [54]. Better-resolved phylogenies, based on the hundreds of housekeeping genes or even the core-genome, has been used to elucidate the phylogenetic relationships classifications based on whole genome sequences [55].

2.7. Utilization of Rubber Materials

To study the ability of Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 in utilizing different rubber materials as the sole carbon and energy source; fresh latex, rubber gloves and tyres samples were used. Fresh latex was harvested from 5-year-old rubber trees at a rubber plantation site at Kulim, Kedah, Malaysia. The latex was brought back and left to solidify at room temperature. Solid latex pieces were then cut into ~1.0 cm × 1.0 cm pieces. Steel-free tyre granules (1.0 to 3.0 mm) were obtained from a tyre recycling factory (Gcycle Tyre Recycling) in Bedong, Kedah, Malaysia. Latex gloves (PRO-CARE), disposable and non-powdered, were used in these studies. Latex gloves were cut into strips of ~0.5 cm × 1.0 cm.

For short-term evaluation under laboratory conditions, antimicrobial substances from the latex glove and tyre granules were removed prior to cultivation. The rubber materials were treated with chloroform as follows: 1 g of sample with 100 mL for 12 h. During this period the solvent was replaced one to two times with fresh chloroform. The treated material was left to air dry; then, it was sterilized by autoclaving and subsequently used as carbon source [56]. No changes in the surface (cracks and holes) of the rubber material were observed using Scanning Electron Microscope (SEM) (Quanta FEG 650, Thermo Fisher Scientific, Edinburgh, UK) before and after chloroform treatment.

Pre-culture of actively growing strains were cultivated in ISP2 broth. The culture (1 mL) were transferred into 250 mL test flasks containing 50 mL MSM and 0.5% (w/v) rubber material [56]. The inoculated flasks were then incubated at 28 °C, 180 rpm for 30 days. Test flasks without culture were used as control. All the sample studied were carried out in triplicates.

  • Morphological Observation using Scanning Electron Microscope (SEM)

Inoculated rubber samples were harvested and air-dried for direct observation. To observe the surface of the tested rubber material, the strain biofilm and mycelia on the rubber particles were removed by rinsing the rubber materials with distilled water. Then, immersing them in 96% ethanol (Sigma-Aldrich, Switzerland) for 1 h before air-drying at ambient temperature. Both washed and unwashed samples were prepared using the hexamethyldisilazane (HDMS, Sigma-Aldrich, Switzerland) method prior to SEM viewing. Samples were placed into shell vials (1.8 mL) and fixed by immersing it in McDowell-Trump fixative (Thermo Fisher Scientific, Waltham, MA, USA) solution, prepared in 0.1 M phosphate buffer (pH 7.2) (Sigma-Aldrich, Switzerland) at 4 °C for at least 2 h. The samples were then washed in 0.1 M phosphate buffer (pH 7.2) (Sigma-Aldrich, Switzerland) for 10 min, this step is repeated twice. Samples were post-fixed by immersing them in 1% (v/v) osmium tetroxide prepared in 0.1 M phosphate buffer (Sigma-Aldrich, Switzerland) (pH 7.2) for 1 h. This step was carried out in the chemical hood. Then the samples were washed by immersing them in distilled water for 10 min. This step was repeated twice. Dehydration of the samples was carried out using ethanol. Firstly, the samples were immersed in 50% ethanol (Sigma-Aldrich, Switzerland) for 15 min, followed by 75% for 15 min, 95% for 15 min (twice) and finally 100% for 20 min (3 times). The dehydrated samples were then immersed in 1 mL HDMS for 10 min. HDMS acts as a drying agent. HDMS solutions were discarded, and the samples were left to dry in the desiccator. The dried samples were then mounted onto an SEM stub using double tape, coated with gold using Quorum Q150T S sputter coater (Quorum Technologies Ltd., East Sussex, UK) for observation using SEM Quanta FEG 650 (Thermo Fisher Scientific, Edinburgh, UK).

  • Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR)

Strain biofilm and mycelia were removed from the tested rubber samples by rinsing them with distilled water. Samples were then immersed in 96% ethanol for 1 h before air-drying them at room temperature. FTIR-ATR was used to determine the formation of new, or disappearance of functional groups in the polymer units of the samples by observing the presence, increase and decrease in C=C, C-C and C-H bonds. Post-incubation samples (fresh latex, latex glove, tyre) and non-inoculated samples were analyzed using ATR-FTIR Spectrum 400 (Perkim Elmer), equipped with ATR ranging from 4000 cm−1 to 650 cm−1, with 4 cm−1 resolution.

3. Results

3.1. Screening for Clear Zone Forming Strains on Natural Rubber (NR) Latex Agar

Since 2006, Sarawak Biodiversity Centre (SBC) has been collecting environmental samples from various locations across Sarawak in efforts to isolate microbes mainly Actinobacteria and fungi as part of their inventory. To evaluate the potential application of the Actinobacterial Culture Collection as rubber degraders, a total of 940 strains were randomly selected and screened on NR latex agar. The strains tested consisted of Actinobacteria from 9 families (15 genera) and 205 Actinobacteria strains that could not be classified based on morphology (Table 1). Eighteen (18) strains were found to be capable of degrading NR latex, producing ~1 to 2 mm clearance surrounding the colony.

Table 1.

Screening of Sarawak Biodiversity Centre (SBC) Actinobacteria Culture Collection for rubber degraders.

Family Genera No. of Strains Tested Clear Zone Formation
Streptomycetaceae Streptomyces 526 2
Kitasatospora 12 0
Micromonosporaceae Micromonospora 86 6
Dactylosporangium 3 1
Streptosporangiaceae Nonomuraea 31 2
Microtetraspora 11 7
Microbispora 4 0
Herbidospora 2 0
Thermoactinomycetaceae Shimazuella 1 0
Thermomonosporaceae Actinomadura 8 0
Actinoallomurus 1 0
Pseudonocardiaceae Actinomycetospora 1 0
Thermosporotrichaceae Thermosporothrix 1 0
Mycobacteriaceae Mycobacterium 2 0
Nocardiaceae Nocardia 46 0
Others 205 0
940 18

Identification of the strains were based on the strain’s morphology, spore-forming structures, some having 16S rRNA molecular information. Others: unable to determine genus based on morphology.

3.2. Taxonomic Identification of Clear Zone Forming Strains

All of the 18 strains producing clear zones were successfully identified through PCR amplification of their 16S rDNA gene having blast homology ranging from 99.00 to 100.00% (MT005091, MT005089, MT005088, MT005098, MT005101, MT005095, MT005096, MT005104, MT005094, MT005105, MT005103, MT005100, MT005099, MT005102, MT005097, MT005093, MT005090, MT005092). Blast homology of 98.70–99.50% are putative novel species, 99.60–99.80% are putative known species and 99.90% and above are identical or closely related species [57].

Clear zone forming strains were distributed among 5 genera: Microtetraspora sp. (7 strains), Micromonospora sp. (6 strains), Streptomyces sp. (2 strains), Nonomuraea sp. (2 strains) and Dactylosporangium sp. (1 strain). Although 39% of clear zone formers identified in this study belong to Microtetraspora genus, phylogenetic distribution of 16S rRNA gene suggests that they are not identical (Supplementary Figure S2).

3.3. Profiling of Latex Clearing Protein (Lcp) Genes in Clear Zone Forming Strains

Latex-clearing protein (Lcp) is responsible for the formation of clear zones on natural rubber (NR) overlay agar plates [58]. Blast homology of the amplified gene sequence was compared to the UniProt database, resulting in 81.20 to 100.00% blast identity to closely related proteins. The amplified nucleotide sequences were curated and submitted to GenBank with the following accession numbers: MN148090, MT241322, MN148093, MN148092, MN148094, MN148095, MT252675, MN148097 MN148098, MT241320, MN148096, MT241323, MT241319, MT241318, MT241317, MT252676, MT241321, MN148089.

Lcp amino acid sequences have been reported to contain 13-residues-long highly conserved region “KTRLVHAAVRHLL” [59]. ClustalW multiple alignment of the amplified Lcp amino acid sequences obtained in this study contained the highly conserved region, except for Micromonospora sp. AC03293 and Streptomyces sp. AC04842 (Supplementary Figure S3). Although the conserved region was not detected for strain Micromonospora sp. AC03293 due to its short sequence, the Lcp blast homology was 95.90% identity to Micromonospora sp. WMMB235 lcp gene. A comparison of Lcp amino acid sequence for Micromonospora sp. AC03293 and biochemically characterized Lcp from Nocardia nova SH22a also showed close similarity (85.70%). PCR amplification of Streptomyces sp. AC04842 lcp gene region was unsuccessful. Blast homology shows that it was 85.40% identical to a hypothetical protein of Streptomyces sp. 4F (QIS63111.1). However, in a separate study, we were able to identify lcp-homologues (MT664881 and MT664882) in the draft genome of Streptomyces sp. AC04842, containing the 13-residues-long highly conserved region.

3.4. Strain of Interest: Microtetraspora sp. AC03309 (JCM 34240)

The lcp gene and the genomic characterization for both genera, Microtetraspora and Dactylosporangium have not been reported. Therefore, we chose to further explore them through: (i) morphological studies and taxonomic delineation, (ii) prediction of genes related to rubber degradation through genome sequencing, and (ii) their ability to utilize different rubber products as the sole carbon and energy source.

Microtetraspora sp. AC03309 was isolated from a soil sample collected in a forest nearby Kampung Kiding, Padawan, Sarawak in 2006.

3.4.1. Morphological Characterization of Microtetraspora sp. AC03309

Morphological characteristics of Microtetraspora sp. AC03309 can be seen in (Figure 1). Microtetraspora sp. AC03309 has blue green surface and honey gold reverse color on ISP2 agar with moderate aerial mycelia. Colony is wrinkled with regular shape; it has external short spore chains (approx. 3 µm length) with 4 spores formed on sporophore branching from aerial hyphae. Spores are slightly oval to cylindrical with smooth surfaces. It grows well at 28 °C, with poor growth at 40 °C and 45 °C on ISP2 agar.

Figure 1.

Figure 1

Microtetraspora sp. AC03309 morphology: (a) surface colony morphology on Yeast Malt Extract (ISP2) agar; (b) spore-forming structures viewed using light microscope at 750× magnification on Soil Extract agar (SEA); (c) sporophore branching from aerial mycelia viewed using Field Emission Scanning Electron Microscope (FESEM, Quattro Thermo Fisher Scientific, Lanham, MD, USA); (d) sporophore with four spores viewed using Field Emission Scanning Electron Microscope (FESEM, Quattro Thermo Fisher Scientific, Lanham, MD, USA).

3.4.2. Microtetraspora sp. AC03309 Taxonomic Delineation

The complete 16S rRNA gene sequence for Microtetraspora sp. AC03309 (1477 bp) was used for online BLASTN analysis against the 16S ribosomal RNA sequences (Bacteria and Archaea). Microtetraspora sp. AC03309 had a 98.85% identity to Microtetraspora glauca strain IFO 14761 (NR_112346.1). The recommended threshold of >98.65% 16S rRNA gene sequence similarity is used as a threshold for differentiating two species [60].

Currently, bacterial species are defined as including strains that have 95.00–96.00% of average nucleotide identity (ANI) and 70.00% of digital DDH (dDDH) [61]. Analysis between Microtetraspora sp. AC03309 and Microtetraspora glauca draft genome (TYGS, https://tygs.dsmz.de, accessed on 25 June 2021) provided an ANI estimate of 97.33%, digital DNA-DNA hybridization (dDDH) of 77.00%, together with genome-based phylogeny predicts that they belong to the same species (Figure 2). However, dDDH value of less than 79.00% suggests Microtetraspora sp. AC03309 strain to be of a distinct subspecies [53].

Figure 2.

Figure 2

Tree inferred with FastME 2.1.6.1 (Lefort et al., 2015) from GBDP distances calculated from genome sequences. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values > 60% from 100 replications, with an average branch support of 100%. The tree was rooted at the midpoint [62].

3.4.3. Microtetraspora sp. AC03309 Genomic Attributes

  • Genomic & Protein Features

The draft genome for Microtetraspora sp. AC03309 (JADDIL000000000) has a size of almost 9.5 kb (9,434,728 bp) with a DNA G+C content of 71.0 mol%. The draft genome has a capacity for 8625 protein encoding genes as well as rRNAs [5S (2), 16S (2), 23S (3)] and 64 tRNAs. Subsystem coverage is 31% which contributes to a total of 461 subsystems out of 8625 CDS predicted by RAST server (Supplementary Figure S4). Predicted proteins were further analyzed into different functional classes based on Cluster of Orthologous Groups (COGs). Out of 7006 proteins, 4995 were mapped to unique COGs, which were further classified into metabolism (33.80%), cellular processes and signaling (16.16%), information storage and processing (20.77%) and poorly characterized (19.53%) functional classes. The remaining 9.75% proteins were assigned to more than one of the COGs categories and were grouped into Multiple COG (Figure A1, Appendix A). CRISPRFinder detected two confirmed CRISPR sites accessible for bacteriophage exposure and genome modification (Table A1, Appendix A).

  • Specialty Genes:

Two antibiotic-resistant genes were predicted using CARD database (strict criteria), with functions in antibiotic resistance towards elfamycin (ARO: 3003361) and rapamycin antibiotic (ARO:3002883) (Table A2). A total of three drug targets were verified using DRUGBANK; 1 putative gene encoding Serine/threonine-protein kinase PknB, PknB [Pfam: Pkinase 379 (PF00069), PASTA (PF03793)], 1 putative gene encoding Recombinase A, RecA (Pfam: 380 PF00154), 1 putative gene encoding cell division protein FtsZ, ftsZ [Pfam: Tubulin 381 (PF00091) and FtsZ_C (PF12327] [Pfam: ProteasomePF00227] (Table A3).

  • Secondary Metabolite Clusters:

A total of 26 secondary metabolite biosynthetic gene clusters (BGCs) were predicted using AntiSMASH software (Table A4). Four BGCs showed more than a 50% similarity to known compounds (geosmin, desferrioxamine E, alkylresorcinol and catenulipeptin), 13 BGCs with less than a 50% similarity to known compounds and 9 BGCs with no match. Interestingly, 2 BGCs of type I polyketide synthase (T1PKS) were detected, with BGCs of a 25% similarity to nostopeptolide A2 and a 40% similarity to labyrinthopeptin A2. T1PKS has been extensively studied and found in fungi, producing structurally diverse bioactive molecules, with very few found in bacteria [63].

  • Sulfur Metabolism:

Desulfurization of vulcanized rubber is needed to reformulate and reuse rubber. Microorganism’s ability to break the sulfur bonds (C-S) in vulcanized rubber would provide higher surface area for latex-clearing protein (Lcp) to cleave the polymer backbone chain during biodegradation. Microtetraspora sp. AC03309 draft genome contained genes encoding for inorganic and organic sulfur metabolism (KEGG pathway ko:00920 and ko:02010). A total of 76 putative genes for sulfur metabolism were detected, with 21 genes categorized under general sulfur metabolism, 28 genes under inorganic sulfur metabolism and 27 genes under organic sulfur metabolism. Most of the genes encode organic sulfur metabolism of alkanesulfonate and inorganic sulfur assimilation of sulfate/thiosulfate metabolism (Table A5).

3.4.4. Identification of Latex Clearing Protein (Lcp) Homolog for Microtetraspora sp. AC03309

NCBI Conserved Domain Database (CDD) search, shows that Microtetraspora sp. AC03309 lcp-homologs (lcp1 gene and lcp2 gene) belongs to the DUF2236 domain-containing protein (accession pfam 09995) similar to latex-clearing protein (Lcp) for Streptomyces sp. K30. This is the first operon (lcp-oxiAB) structure reported for 2-lcp homolog located on the chromosome. Microtetraspora sp. AC03309 lcp1 and lcp2 genes were located adjacent to each other (Figure 3). Both lcp amino acid sequences showed a 58.50% similarity and contained the 13-residue long highly conserved region.

Figure 3.

Figure 3

Location of lcp1 and lcp2, and adjacent genes in Microtetraspora sp. AC03309 located on chromosome (contig 3): 1, Transcriptional regulator, TETR family; 2, Long chain fatty acid CoA ligase (EC 6.2.1.3); 3, Acetyl CoA dehydrogenase, short chain specific (EC 1.3.99.2); 4; Isoquinoline 1-oxidoreductase alpha subunit (oxiA); 5, Isoquinoline 1-oxidoreductase beta subunit (oxiB); 6, latex clearing protein 1 (lcp1); 7, latex clearing protein 2 (lcp2); 8, hypothetical protein; 9, Transcriptional regulator, TETR family; 10, MFS transporter; 11, hypothetical protein; 12, N-acetyltransferase; 13, pirin.

The lcp1 gene (MW659698) is located on contig 3 at 26,812 to 25,649 bp. CDS translation results in 427 amino acids, encoding a protein with a theoretical mass of 47.0 kDa and 5.81 pI. Twin arginine translocation (TAT) signal peptide cleavage site was predicted between 30 and 31 bp (ARA-MP). Putative ribosomal site (RBS) was detected at 2 bp upstream from the putative start codon. The lcp1 gene (1281 bp) showed 80.20% blast homology to latex clearing protein of Actinophytocola xinjiangensis (BLA60_08475). Lcp1 amino acid sequence was 51.37% similar to characterized Lcp of Gordonia polyisoprenivorans VH2 (ABV68923.1).

The lcp2 gene (MW659699) is located on contig 3 at 28,435 to 27,206 bp, 277 bp upstream of lcp1 gene. CDS translation results in 410 amino acids, encoding a protein with a theoretical mass of 44.8 kDa and 6.55 pI. A twin arginine translocation (TAT) signal peptide cleavage site was predicted between 30 and 31 bp (AQA-RT). A putative ribosomal site (RBS) was detected at 3 bp upstream from the putative start codon. The lcp2 gene (1230 bp) showed 75.50% blast homology to latex-clearing protein of Streptosporangium minutum (A0A243RYB8_9ACTN). Lcp1 amino acid sequence had a 63.66% similarity to characterized Lcp of Gordonia polyisoprenivorans VH2 (ABV68923.1).

3.4.5. Predicted Genes Involved in Rubber Degradation for Microtetraspora sp. AC03309

The degradation pathway of rubber was proposed by the identification of intermediate metabolites and experimental studies based on the genomes for Streptomyces coelicolor 1A, Nocardia sp. 835A, Steroidobacter cummioxidans sp. nov., strain 35Y, Gordonia polyisoprenivorans VH2 and Nocardia nova SH22a [12,23,64,65,66,67,68]. Based on these findings, putative genes that participate in the rubber degradation in Microtetraspora sp. AC03309 were identified in its draft genome (Table A6).

TetR-family is a regulatory mechanism that induces the production of Lcp protein during metabolization of rubber [69,70,71]. A total of 152 TETR-family genes were found. Two TETR encoding genes located near the lcp genes could be involved in the Lcp transcription (Figure 3). One TETR encoding gene is located 118 bp downstream of lcp2 and lcp1, and another was located upstream 1023 bp of lcp1 and lcp2. Lcp is secreted outside the bacterial cell via twin-arginine translocation (TAT) pathway. Four putative gene coding TAT proteins were identified. The oxiB (MZ726746) and oxiA (MZ726747) gene located downstream of lcp1 and lcp2 gene is an oxidoreductase that converts the oligo-isoprenoid terminal aldehyde group to a carboxylic acid group. Isoprenoid acids are then transported into the bacterial cell through Mammalian cell entry (Mce). Two candidate genes of MCE-family protein were found. Resulting isoprenoid acids enter the ß-oxidation cycle and are converted into acyl-CoA thioester by an acyl-CoA synthase (3 candidate genes). Acyl-CoA thioester are further catabolized by an acyl-CoA dehydrogenase (EC 1.3.8.1 & EC 1.3.8.7) (6 candidate genes). Polyunsaturated fatty acids degradation occur when 2,4-dienoyl-CoA reductase (EC 1.3.1.34) (1 candidate gene, NADH:flavin oxidoreductases, Old Yellow Enzyme family) catalyzes double bonds at the even-numbered position, followed by isomerization by enoyl-CoA hydratases (EC 4.2.1.17) (14 candidate genes). Six homologous genes for 3-hydroxyacyl-CoA dehydrogenases (EC 1.1.1.35) were identified, possibly involved in the following hydration step, responsible for the conversion of the hydroxyl derivatives into the keto. The last step of the first-oxidation cycle is predicted to be catalyzed by the thiolase/3-ketoacyl-CoA thiolase (EC 2.3.1.16) (6 candidate genes).

Mutants with a disruption of the α-methylacyl-CoA racemase (Mcr) gene lost the ability to metabolize poly-(cis-1,4-isoprene) and related methyl-branched isoprenoid compounds (Arenskötter et al., 2008). Three mcr genes (EC 5.1.99.4) were also identified in the genome of Microtetraspora sp. AC03309.

In addition, 2 candidate genes for superoxide dismutase (SodA)(EC 1.15.1.1) were also identified, believed to serve as a radical scavenger during degradation of poly(cis-1,4-isoprene), as the formation of SodA is induced during growth on rubber [72].

The presence of these genes in the genome of Microtetraspora sp. AC03309 suggests that this genome may share the same rubber degradation pathway as predicted previously.

3.5. Strain of Interest: Dactylosporangium sp. AC04546 (JCM 34239)

Dactylosporangium sp. AC04546 was isolated from a soil sample in a forest collected at Lanchang, Serian, Sarawak in 2007.

3.5.1. Morphological Characterization of Dactylosporangium sp. AC04546

Morphological characteristics of Dactylosporangium sp. AC04546 can be seen in Figure 4. Dactylosporangium sp. AC04546 has yellowish orange surface and reverse color on ISP2 agar with moderate aerial mycelia. Colony is wrinkled with regular shape; it has an oblong shaped sporangia (~1.5 µm in length) with smooth surface, emerging directly from vegetative mycelium, arranged singly or in clusters. Globose bodies (~2.0 µm in diameter) were also observed. It is a mesophilic strain, growing well at 28 °C and up to 45 °C on ISP2 agar.

Figure 4.

Figure 4

Dactylosporangium sp. AC04546 morphology: (a) surface morphology on Yeast Malt Extract (ISP2) agar; (b) spore-forming structures viewed using light microscope at 750× magnification on Soil Extract agar (SEA); (c) oblong-shaped sporangia viewed using scanning electron microscope (SEM Quanta FEG 650); (d) globose bodies viewed using scanning electron microscope (SEM Quanta FEG 650).

3.5.2. Dactylosporangium sp. AC04546 Taxonomic Delineation

The complete 16S rRNA gene sequence for Dactylosporangium sp. AC04546 (1361 bp) was used for online BLASTN analysis against the 16S ribosomal RNA sequences (Bacteria and Archaea). Dactylosporangium sp. AC04546 had a 99.85% identity to Dactylosporangium sucinum strain RY35-23 (NR_145935.1) and genome-based phylogeny also shows that they are closely related (Figure 5) (TYGS, https://tygs.dsmz.de, accessed on 25 June 2021). Bacterial species are defined as including strains that present 95.00–96.00% of average nucleotide identity (ANI) and 70.00% of digital DDH (dDDH) [61]. Due to the low dDDH value of 44.40%, Average Amino Acid identity (AAI) was carried out [73]. Kostas lab server (http://enve-omics.ce.gatech.edu/g-matrix/, accessed on 27 June 2021) was used for this purpose. Amino acid sequences for Dactylosporangium sucinum JCM 19831 was obtained from NCBI Genome Assembly data (https://www.ncbi.nlm.nih.gov/assembly, accessed on 5 July 2021). AAI comparison resulted in a similarity of 89.64%. Accordingly, strains from the same microbial species share >95.00% Average Amino Acid Identity (AAI) [74].

Figure 5.

Figure 5

Tree inferred with FastME 2.1.6.1 (Lefort et al., 2015) from GBDP distances calculated from genome sequences. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values > 60% from 100 replications, with an average branch support of 81.9%. The tree was rooted at the midpoint [62].

ANI estimate of 91.63%, AAI of 89.64% and dDDH of 44.40% suggests that Dactylosporangium sp. AC04546 is a separate species from Dactylosporangium sucinum.

3.5.3. Dactylosporangium sp. AC04546 Genomic Attributes

  • Genomic & Protein Features

The draft genome for Dactylosporangium sp. AC04546 (JAHYSG000000000) has a size of approximately 13 kb (13,028,014) with a DNA G+C content of 72.1 mol%. The draft genome has a capacity for 12,556 protein encoding genes as well as rRNAs [5S (1), 16S (4), 23S (3)] and 88 tRNAs. Dactylosporangium sp. AC04546 draft genome consists of 16% subsystem coverage which contributes to a total of 334 subsystems out of 12,556 CDS predicted by the RAST server (Supplementary Figure S5 Predicted proteins were further analyzed into different functional classes using Cluster of Orthologous Groups (COGs) (Figure A2, Appendix B). Out of 7006 proteins, 4995 were mapped to unique COGs which were further classified into metabolism (33.93%), cellular processes and signaling (32.82%), information storage and processing (17.40%) and poorly characterized (19.86%) functional classes. The remaining 13.39% proteins were assigned to more than one COGs category and were grouped into Multiple COG. A total of 11 confirmed CRISPR loci, indicates the high ability of Dactylosporangium sp. AC04546 naturally occurring genome editing system which serves as genome editing sites (Table A7, Appendix B).

  • Specialty Gene:

Antibiotic-resistant genes, 2 genes (strict criteria) with functions in antibiotic resistance towards aminoglycoside (ARO:3002644) and glycopeptide antibiotic (ARO:3005036) were detected (Table A8). Two drug targets were detected using PATRIC 539 server and verified using DRUGBANK, 1 putative gene encoding GTP binding (Pfam: 540 Tubulin (Pfam: PF00091) and FtsZ_C (Pfam: PF12327) and 1 putative gene encoding re- 541 combinase A, Rec A (Pfam: PF00154) (Table A9).

  • Secondary metabolite clusters:

AntiSMASH software predicted 19 secondary metabolite biosynthetic gene clusters (BGCs) (Table A10). Two BGCs showed more than 50% similarity to arenimycin (68%) and alkyl-O-dihydrogeranyl-methoxyhydroquinones (57%), respectively, 10 BGCs below 50%, and 7 BGCs with no similarity.

  • Urea Metabolism:

Based on the draft genome of Dactylosporangium sp. AC04546, it is predicted to be able to utilize urea as the sole nitrogen source during N-limiting conditions. Presence of putative genes for urea transporters (urtA, urtB, urtC, urtD, urtE) and urease operon (ureA, ureB, ureC, ureD, ureE, ureF, ureG) were identified [75] (Table A11). The potential of using Dactylosporangium sp. AC04546 strain or enzyme for bioremediation expands beyond rubber biodegradation.

  • Polyhydroxybutyrate Metabolism

A total of 88 putative genes involved in polyhydroxybutyrate metabolism were found. Six scenarios were predicted by The SEED Viewer but were incomplete (Figure A3). Poly-3-hydroxybutyrate (PHB) is a biological polyester present in bacteria and eukaryotic cells stored for carbon and energy storage during stress, and is extensively studied for production of biodegradable plastics [76].

3.5.4. Identification of Latex Clearing Protein (Lcp) Homolog for Dactylosporangium sp. AC04546

NCBI Conserved Domain Database (CDD) search, shows that Dactylosporangium sp. AC04546 lcp-homologs (lcp1, lcp2 and lcp3 gene) belong to the DUF2236 domain-containing protein (accession pfam 09995). All the lcp-homologs contains the 13-residue long conserved region.

The operon structure (lcp-oxiAB) of Dactylosporangium sp. AC04546 is similar to previously reported strains containing 3-lcp homologs; Streptomyces sp. CFMR-7 [77] and Actinoplanes sp. strain OR16 [78], whereby 2-lcp homologs are located adjacent to each other, followed by oxiAB genes, with 1-lcp homolog located far apart (Figure 6). The lcp2 and lcp3 gene for Dactylosporangium sp. AC04546 were located adjacent to each other on contig 82, while lcp1 gene was located on contig 1 (Figure 6). Amino acid sequences of Lcp2 and Lcp3 are 60.8% similar. Amino acid sequences for Lcp1 and Lcp2 have a similarity of 48.3% while Lcp1 and Lcp3 have a 45.3% similarity.

Figure 6.

Figure 6

Location of lcp1, lcp2 and lcp3, and adjacent genes in Dactylosporangium sp. AC04546 located on chromosome: (A) Contig 82: 1, Long chain fatty acid CoA ligase (EC 6.2.1.3); 2, Transcriptional regulator, AcrR; 3, Acetyl-CoA Acetyltransferase (EC 2.3.1.9); 4, Enoyl-CoA Hydratase [isoleucine degradation] (EC 4.2.1.17)/3-Hydroxyl-CoA dehydrogenase (EC 1.1.135)/3-Hydroxyl-CoA butyryl CoA epimerase (EC 5.1.2.3); 5, Long chain fatty acid CoA ligase (EC 6.2.1.3); 6, Oxidoreductase, GMC family; 7, ABC transporter; 8, branch chain amino acid transport ATP-binding protein LivG; 9, High affinity branched chain amino acid transport system permease protein LivH (TC 3.A.1.4.1); 10, ABC transporter substrate binding protein; 11, Acyl-CoA dehydrogenase; 12, Transcriptional regulator, TETR family; 13, oxidoreductase, short chain dehydrogenase/reductase family; 14, Transcriptional regulator, TETR family; 15, latex clearing protein gene 3 (lcp3); 16, latex clearing protein gene 2 (lcp2); 17, Isoquinoline 1-oxidoreductase beta subunit (oxiB); 18, Isoquinoline 1-oxidoreductase alpha subunit (oxiA), 19, GGDEF domain containing protein; 20, RNA polymerase sigma-70 factor. (B) Contig 1: 1, S8 family serine peptidase; 2, hypothetical protein; 3, two component system sensor histidine kinase; 4, NmrA family protein; 5, Transcriptional regulator, TETR family; 6, Transcriptional regulator, AcrR family; 7, latex clearing protein gene 1 (lcp1); 8, HTH-type transcriptional activator TipA; 9, two component system sensor histidine kinase.

The lcp1 gene (MW659700) is located on contig 1 from 364,865 to 366,085 bp. CDS translation results in 407 amino acids, encoding a protein with a theoretical mass of 44.2 kDa and 9.00 pI. Twin arginine translocation (TAT) signal peptide cleavage site was predicted to be between 40 and 41 bp (ALA-AP). Putative ribosomal site (RBS) was detected at 6 bp upstream from the putative start codon. The lcp1 gene (1221 bp) showed 80.70% blast homology to latex clearing protein of Amycolatopsis sp. YIM 10 (A0A5P9PKU1_9PSEU). Lcp1 amino acid sequence a 40.70% similarity to characterized Lcp of Gordonia polyisoprenivorans VH2.

The lcp2 gene (MW659701) is located on contig 82 from 43,562 to 44,770 bp. CDS translation results in 403 amino acids, encoding a protein with a theoretical mass of 43.8 kDa and 6.33 pI. Twin arginine translocation (TAT) signal peptide cleavage site was predicted to be between 40 and 41 bp (AGA-GA). Putative ribosomal site (RBS) was detected at 9 bp upstream from the putative start codon ATG. The lcp2 gene (1200 bp) showed 87.60 % blast homology to latex clearing protein of Nonomuraea sp. ATCC 55076 (A0A1U9ZY53_9ACTN). Lcp1 amino acid sequence had a 65.33% similarity to Lcp of Gordonia polyisoprenivorans VH2 characterized.

The lcp3 gene (MW659702) is located on contig 82 from 44,862 to 46,061 bp. CDS translation results in 400 amino acids, encoding a protein with a theoretical mass of 43.9 kDa and 5.93 pI. Twin arginine translocation (TAT) signal peptide cleavage site was predicted between 40 and 41 bp (AGA-GA). Putative ribosomal site (RBS) was detected at 9 bp upstream from the putative start codon ATG. The lcp3 gene (1224 bp) showed 84.00% blast homology to latex clearing protein of Actinophytocola xinjiangensis (A0A7Z0WP15_9PSEU). Lcp1 amino acid sequence had a 50.63% similarity to characterized Lcp of Gordonia polyisoprenivorans VH2 (ABV68923.1).

3.5.5. Predicted Genes Involved in Rubber Degradation for Dactylosporangium sp. AC04546

Putative genes that may participate in the rubber degradation in Dactylosporangium sp. AC04546 were identified in its draft genome (Table A12). Five putative TER-family gene were identified, 2 genes located 119 bp and 2218 bp downstream of the lcp2, lcp3. One gene belonging to the TETR-family, located 1431 bp downstream lcp1 gene, could be involved in the Lcp transcription (Figure 6). Lcp are secreted outside the bacterial cell via twin-arginine translocation (TAT) pathway. Four putative gene-coding TAT proteins (TatA, TatB, TatC) were identified. The oxiAB gene, located downstream of the lcp3 and lcp2 gene, is an oxidoreductase that converts the oligo-isoprenoid terminal aldehyde group to a carboxylic acid group. Oligo-isoprenoids are then transported into the bacterial cell. No specific MCE-family genes were detected. The resulting isoprenoid acids enter the ß-oxidation cycle and are converted into acyl-CoA thioester by an acyl-CoA synthase (2 candidate gene). Acyl-CoA thioester are further catabolized by an acyl-CoA dehydrogenase (EC 1.3.8.1 & EC 1.3.8.8) (6 candidate genes). Polyunsaturated fatty acids degradation occurs when 2,4-dienoyl-CoA reductase (EC 1.3.1.34) (1 candidate genes) catalyzes double bonds at the even-numbered position, followed by isomerization by enoyl-CoA hydratases (EC 4.2.1.17) (14 candidate genes). Fourteen homologous genes for 3-hydroxyacyl-CoA dehydrogenases (EC 1.1.1.35) were identified, possibly involved in the following hydration step, responsible for the conversion of the hydroxyl derivatives into the keto. The last step of the first-oxidation cycle is predicted to be catalyzed by the thiolase/3-ketoacyl-CoA thiolase (EC 2.3.1.16) (15 candidate genes).

Mutants with a disruption of the α-methylacyl-CoA racemase (Mcr) gene lost the ability to metabolize poly-(cis-1,4-isoprene) and related methyl-branched isoprenoid compounds (Arenskötter et al., 2008). Three Mcr genes (EC 5.1.99.4) were also identified in the genome of Dactylosporangium sp. AC04546.

The presence of these genes in the genome of Dactylosporangium sp. AC04546 suggests that this genome may share the same rubber degradation pathway as predicted previously.

3.6. Utilization of Rubber Materials by Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546

When cultivated in an ISP2 broth at 28 °C, 180 rpm, Microtetraspora sp. AC03309 was actively growing by Day 7 while Dactylosporangium sp. AC04546 by Day 10. Actively growing culture was used to inoculate Mineral Salts Medium (MSM) containing rubber as the sole carbon source. Rubber utilization studies were conducted separately for both strains.

After 30 days of incubation, SEM images of rubber materials showed that the strains were able to grow and utilize fresh latex, latex glove, or tyres as the sole carbon and energy source. The biodegradation of the rubber polymer begins with microbial attachment on the surface, which has thread-like appearances (yellow arrow) in comparison to non-inoculated samples [Figure 7]. Once attached, the microorganism releases degrading enzymes through its mycelia, initiating the first step of rubber degradation. This can be seen through the presence of rough, cracked, and holes (white arrow) on the rubber materials [Figure 7b,c].

Figure 7.

Figure 7

Micrographs of (a) control, rubber samples without microbial cultivation (A & D: fresh latex pieces; B & E: latex glove pieces; C & F: tyre granules); (b,c) rubber samples used as carbon source for cultivating Microtetraspora sp. AC03309 (A,B,C) and Dactylosporangium sp. AC04546 (D,E,F), incubated for 30 days, 28 °C at 180 rpm.

3.7. ATR-FTIR Analysis of Degraded Rubber Materials

ATR-FTIR spectroscopy is a useful tool to determine the formation or disappearance of functional groups of materials that indicate degradation of the original material. The infrared spectroscopy (IR) can be divided into 4 categories: (i) single bond area (4000 cm−1–2500 cm−1), (ii) triple bond region (2500 cm−1–2000 cm−1), (iii) double bond region (2000 cm−1–1500 cm−1) and (iv) fingerprint region (1500 cm−1–600 cm−1) [79]. During rubber utilization, Lcp catalyzes the oxidative C-C cleavage of poly(cis-1,4-isoprene) in natural rubber as well as in synthetic rubber by the addition of oxygen (O2) to the double bonds, leading to a mixture of oligonucleotide-isoprenoids with terminal keto and aldehyde groups (endo-type cleavage) [9,11,80].

3.7.1. Fresh Latex ATR-FTIR Profile

Figure 8 shows the ATR-FTIR profile for fresh latex (A) control, no microbial culture added, (B) cultivated with Dactylosporangium sp. AC04546, and (C) cultivated with Microtetraspora sp. AC03309.

Figure 8.

Figure 8

ATR-FTIR profile for fresh latex pieces as carbon source in MSM broth for 30 days, 28 °C, 180 rpm (A) Control (B) Dactylosporangium sp. AC04546 (C) Microtetraspora sp. AC03309.

Characteristic bands of the polyisoprene chain at 2962 cm−1, 2928 cm−1 and 2855 cm−1 were present [81]. Decreased intensity of this spectrum for Dactylosporangium sp. AC04546 and Microtetraspora sp. AC03309 indicates the degradation of fresh latex samples. Degradation of fresh latex should result in the appearance of hydroxyl, carbonyl (aldehyde, ketone, and/or carboxylic acid) and ester groups [81]. A range of between 1750 cm−1 and 1700 cm−1 describes simple carbonyl compounds (ketones, aldehydes, esters, or carboxyl). Peak below 1700 cm−1 corresponds to carbonyl with amides or carboxylates functional group, while intensity at between 1650 cm−1 and 1600 cm−1 is due to the presence of double bonds. Strong peak profile at 1200 cm−1–1000 cm−1 for Dactylosporangium sp. AC04546 is caused by C-O-C stretching vibration in esters. Similar changes of profile was also reported in natural rubber after 1 year aging at temperate temperature compared to control [82].

3.7.2. Latex Glove ATR-FTIR Profile

Figure 9 shows the ATR-FTIR profile for latex gloves in MSM with (A) control, no microbial culture added, (B) Dactylosporangium sp. AC04546, and (C) Microtetraspora sp. AC03309. Characteristic bands of the polyisoprene chain at 2962 cm−1, 2928 cm−1 and 2855 cm−1 [81] were also present in the latex glove profiles. A broad absorption band in the range of 3650 and 3250 cm−1 for Dactylosporangium sp. AC04546 and Microtetraspora sp. AC03309, is caused by O-H stretching vibrations in the carboxylic groups, as a result of rubber degradation by oxidation. At 1750 cm−1–1725 cm−1 a distinct peak for ester was detected in the profile for Dactylosporangium sp. AC04546. While a distinct peak at 1680–1630 cm−1 for amide appeared in the IR for Microtetraspora sp. AC03309, obvious change in the peak profile at 1200–1000 cm−1 was caused by C-O-C stretching vibration in esters.

Figure 9.

Figure 9

ATR-FTIR profile for latex glove strips as carbon source in MSM broth for 30 days, 28 °C, 180 rpm (A) Control (B) Dactylosporangium sp. AC04546 (C) Microtetraspora sp. AC03309.

3.7.3. Tyre ATR-FTIR Profile

Based on the IR spectra, tyre samples incubated with Dactylosporangium sp. AC04546 showed differences at 3000 cm−1 and ~1000 cm−1 (Figure 10). The broadening of peaks at ~3000 cm−1 is caused by C-H, O-H and N-H stretching, while peak intensity at ~1000 cm−1 is due to stretching vibrations of the C-C and/out of plane deformation of C=C-H [83].

Figure 10.

Figure 10

ATR-FTIR profile for tyre granules as carbon source in MSM broth for 30 days, 28 °C, 180 rpm (A) Control (B) Dactylosporangium sp. AC04546 (C) Microtetraspora sp. AC03309.

4. Discussion

We were able to quickly screen a portion of SBC Actinobacterial Culture Collection by modifying the screening method using natural rubber (NR) latex agar in 6-well plates instead of latex agar overlay technique as described by Braaz et al., (2004) [28]. We also prolonged the incubation period from 1 week to 4 weeks as some Actinobacteria strains (rare group) are known to be slow growers. Using 6-well plates, we prepared NR latex agar (without overlay) in smaller volume while utilizing minimal space. The separation of media by wells also avoids cross contamination, especially by sporulating strains. A similar method using NR latex agar in 24-well plates was not successful in detecting the formation of clear zones. Using MSM broth added with NR latex in test tubes, 6-well plate and 24-well plate did not show changes in the turbidity of the medium.

Back in 1997, a publication indicated that Microtetraspora sp. strain 3880-19B isolated from a soil sample collected in Malaysia, and Dactylosporangium thailandense DSM 43158 isolated from Thailand produced clearing zone on NR latex overlay agar [21]. However, no further studies on these strains have been reported. No molecular information or strain deposition was found for Microtetraspora sp. strain 3880-19B. When we compared the genome of Microtetraspora sp. AC03309 and Microtetraspora glauca strain NBRC 14761 using The SEED Viewer server, Microtetraspora glauca strain NRBC 14761 did not contain genes of Lcp-homolog, isoquinoline 1-oxidoreductase beta subunit (oxiB), isoquinoline 1-oxidoreductase alpha subunit (oxiA) and MCE-family protein. The genome search of Microtetraspora glauca using the GenBank database also confirms this. Only 1 genome for Microtetraspora glauca has been deposited to the NCBI Genome database. Although in silico taxonomic delineation classifies Microtetraspora sp. AC03309 as a novel subspecies under Microtetraspora glauca, based on the rubber-degrading ability and related rubber degradation gene content, we propose Microtetraspora sp. AC03309 to be considered as a novel species. In this study, we have successfully identified 7 Microtetraspora strains containing Lcp-homolog. It would be interesting also to look at the interspecies variation.

Comparison between 16S rDNA sequence of Dactylosporangium sp. AC04546 and Dactylosporangium thailandense DSM 43158 showed a similarity of 98.00%, which is below the recommended threshold of >98.65% 16S rRNA gene sequence similarity for differentiating two species [60]. Therefore, we believe both strains to be distinct. We then compared the genome of Dactylosporangium sp. AC04546 to Dactylosporangium sucinum JCM 19831. Interestingly, we found 3-Lcp homologs, putative oxiB and putative oxiA genes within the Dactylosporangium sucinum JCM 19831 genome. The lcp3 gene and the lcp2 gene were located on contig 30 together with oxiAB, while lcp1 was located on contig 19 of Dactylosporangium sucinum JCM 19831. When we compared the Lcp-homologs amino acid sequence, Lcp1 of both sequences had a 95.07% similarity, Lcp2 had a 93.03% similarity and Lcp3 had a 97.24% similarity. Four MCE-family proteins were detected in the draft genome of Dactylosporangium sucinum JCM 19831 (genome size 12,103,263 bp) and was compared to the genome of Dactylosporangium sp. AC04546 (genome size 13,028,014 bp). No blast homology was detected. Therefore, further analysis of the Dactylosporangium sp. AC04546 membrane transporter proteins involved in the rubber degradation pathway are needed. Low ANI and dDDH values for Dactylosporangium sp. AC04546 to Dactylosporangium sucinum JCM 19831 suggest that they have distinct genomic differences as a separate species, while the full length Lcp amino acid comparison did not match 100.00%.

Almost all rubber-degrading Actinobacteria, including Streptomyces, Nocardia, and Rhodococcus species have a single Lcp homolog [78]. We predict that Actinobacterial strains adapt by incorporating lcp genes into their chromosome through their plasmid (e.g., Gordonia polyisoprenivorans VH2, 1 lcp gene in plasmid and in 1 lcp gene in its chromosome). Actinobacteria have been known to adapt quickly through incorporation of genes (horizontal gene transfer, HGT). The question is whether the incorporation of Lcp-homologs impact the ability of the strain to utilize and degrade different rubber products? Previous reports indicate that different Lcp produce a variety of rubber degraded products (molecular weight, number of isoprene units, functional groups, etc) [65]. This could most likely be due to the different or synergistic mechanism of Lcp, which is yet to be explored. Lcp genes from Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 also did not cluster with other biochemically characterized Lcp (Supplementary Figure S6).

Dissimilar to other rubber products, tyres are made from vulcanized rubber and ~30% carbon black for reinforcement, rendering them more resistant to degradation. Vulcanization of rubber material through sulfur interlinkages of the poly(cis-1,4-isoprene) chains results in reduced water absorption and gas permeability of the material [65]. Based on the rubber utilization studies, we observed that both strains were able to colonize and utilize various rubber products differently. An obvious observation was the ability of Dactylosporangium sp. AC04546 to colonize the tyre samples effectively through excretion of rubber-degrading enzymes (appearance of holes on the tyre surface compared to control and samples incubated with Microtetraspora sp. AC03309). This is supported by the changes detected in the ATR-FTIR profile. Since tyres are the second largest contributor to microplastic pollution in the ocean [84], it would be interesting to study the potential of Dactylosporangium sp. AC04546 in degrading tyre wastes.

Most of the clear zone producing strains (61%) were isolated from soil samples collected from Kiding Village Forest area. The Kiding village settlement was founded in the 1840s and is located 1300 m above sea level; it is only accessible by a 3-h hike. While all the other NR latex degrading strains were isolated from secondary forest soil samples, the isolation sites for all the strains have no obvious rubber wastes or rubber materials present, so there does not appear to be an apparent evolutionary pressure for the appearance of lcp genes. Nonetheless, these strains do degrade rubber, and it is possible that this function may have been triggered by the presence of rubber particles dispersed in the environment. Recent studies have shown that rubber particles from sources such as tyres are widely dispersed. Sieber et al., (2020), estimated that 218 ktons of rubber particles from tyres are mainly deposited on road-side soils (74%), surface water (22%) and in soils (4%) [85]. Alternatively, the presence of latex producing plants in the vicinity may have contributed to the development of Lcp in these strains. Further studies would be required to confirm the reasons for this. But this observation highlights the importance of surveying microorganisms from diverse ecosystems (e.g., marine, or freshwater bodies) for their genomic background and functional ability related to biodegradation of rubber or other pollutants.

5. Conclusions

Miniaturized random screening using Sarawak’s Actinobacterial Culture Collection led to the successful identification of 18 natural rubber latex degrading Actinobacteria isolated from environmental soil samples. Two rare Actinobacteria strains with uncharacterized lcp genes, Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546 were explored. Microtetraspora sp. AC03309 a proposed novel species has 2 Lcp homologs on its chromosome, while Dactylosporangium sp. AC04546 is a proposed novel species that has 3 Lcp homologs on its chromosome. The identification of genes predicted to be involved in the rubber-degradation pathway was established for both strains and corresponds to the genes identified in other rubber-degrading Actinobacteria. The presence of other assimilation genes such as sulfur in Microtetraspora sp. AC03309, and urea and polyhydroxybutyrate in Dactylosporangium sp. AC04546 provides them with added advantages as biodegraders. Both strains were also able to colonize and utilize rubber-based materials within 30 days of incubation. Interestingly, Dactylosporangium sp. AC04546 grew well in the presence of tyre samples as the sole carbon and energy source, showing visible changes on the tyre surface seen in SEM images and changes in the ATR-FTIR spectra within 30 days of incubation. Further studies on the ability of this strain (or a combination of strains) to effectively degrade tyre products and detailed analysis of the degraded rubber products would be of interest for future research.

Acknowledgments

We would like to acknowledge the Sarawak Government for providing research funds to conduct this study. Also acknowledging the Sarawak Biodiversity Centre (SBC) staff especially those working in the Microbiology Group and the Molecular Group. We would also like to express our appreciation to the Ecobiomaterial Lab members of USM for their support. Special thanks to Gincy P. Thottathil (Ecobiomaterial Lab, USM) for her guidance in primer designs and Mohd. Farith Bin Kota (Microbiology Lab, SBC) for providing SEM images for Microtetraspora sp. AC03309.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/polym13203524/s1, Figure S1: Research approach flow chart; Figure S2: Clear zone forming strains 16S rRNA evolutionary relationships of taxa together with top 1 blast homology in GenBank database; Figure S3: Latex clearing protein (Lcp) amino acid sequence alignment of the 18 clear zone strains to determine the 13-residue long highly conserved region; Figure S4: Subsystem distribution in Microtetraspora sp. AC03309; Figure S5: Subsystem distribution in Dactylosporangium sp. AC04546; Figure S6: Phylogenetic tree of characterized Lcps and Lcps from Microtetraspora sp. AC03309 and Dactylosporangium sp. AC04546.

Appendix A

Figure A1.

Figure A1

Cluster of Orthologous (COGs) for Microtetraspora sp. AC03309 analyzed using egg-NOG mapper v.2 [42]. CELLULAR PROCESSES AND SIGNALING [D] Cell cycle control, cell division, chromosome partitioning, [M] Cell wall/membrane/envelope biogenesis, [N] Cell motility; [O] Post-translational modification, protein turnover, and chaperones, [T] Signal transduction mechanisms, [U] Intracellular trafficking, secretion, and vesicular transport, [V] Defense mechanisms [W] Extracellular structures, [Y] Nuclear structure, [Z] Cytoskeleton; INFORMATION STORAGE AND PROCESSING [A] RNA processing and modification, [B] Chromatin structure and dynamics, [J] Translation, ribosomal structure and biogenesis, [K] Transcription, [L] Replication, recombination and repair; METABOLISM [C] Energy production and conversion, [E] Amino acid transport and metabolism, [F] Nucleotide transport and metabolism, [G] Carbohydrate transport and metabolism, [H] Coenzyme transport and metabolism, [I] Lipid transport and metabolism, [P] Inorganic ion transport and metabolism, [Q] Secondary metabolites biosynthesis, transport, and catabolism; POORLY CHARACTERIZED [R] General function prediction only, [S] Function unknown.

Table A1.

Microtetraspora sp. AC03309 CRISPR array detected from CRISPRFinder server.

Contig Start (bp) Stop (bp)
1 contig000014 94,175 94,462
2 contig000145 766 977

Table A2.

Microtetraspora sp. AC03309 antibiotic resistant gene identified using CARD database.

Contig Start (bp) Stop (bp) Classification Identity (%)
1 contig000052 61,507 62,700 elfamycin (ARO: 3003361) 77
2 contig 000084 35,081 36,280 rapamycin antibiotic (ARO:3002883) 93

Table A3.

Microtetraspora sp. AC03309 drug target gene identified using PATRIC server and DrugBank server.

Contig Product Start
(bp)
Stop
(bp)
Length
(bp)
Query Coverage Identity (%)
1 Contig000007 RecA protein 27,312 25,081 1104 88 85
2 Contig000641 Serine/threonine-protein kina, pknB (EC 2.7.11.1) 35 322 288 90 88
3 Contig000054 Cell division protein, ftsZ 15,100 13,667 1434 95 92

Table A4.

Microtetraspora sp. AC03309 putative genes involved in sulfur assimilation annotated using RAST server.

Roles ORF
Inorganic sulfur: Sulfate/thiosulfate metabolism
1 3’(2’),5’-bisphosphate nucleotidase (EC 3.1.3.7) 1
2 Adenylylsulfate kinase (EC 2.7.1.25) 2
3 Adenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.10) 3
4 Ferredoxin 12
5 Ferredoxin-like protein involved in electron transfer 1
6 Ferredoxin--NADP(+) reductase, actinobacterial (eukaryote-like) type (EC 1.18.1.2) 1
7 Ferredoxin--sulfite reductase, actinobacterial type (EC 1.8.7.1) 1
8 Phosphoadenylyl-sulfate reductase [thioredoxin] (EC 1.8.4.8) 1
9 Putative sulfate permease 1
10 Sulfate adenylyltransferase subunit 1 (EC 2.7.7.4) 1
11 Sulfate adenylyltransferase subunit 2 (EC 2.7.7.4) 1
12 Sulfate adenylyltransferase, dissimilatory-type (EC 2.7.7.4) 1
13 Sulfate and thiosulfate binding protein CysP 1
14 Sulfate and thiosulfate import ATP-binding protein CysA (EC 3.6.3.25) 2
15 Sulfate transport system permease protein CysW 1
Organic sulfur: Alkanesulfonate assimilation
1 ABC-type nitrate/sulfonate/bicarbonate transport system, ATPase component 1
2 ABC-type nitrate/sulfonate/bicarbonate transport system, permease component 2
3 ABC-type nitrate/sulfonate/bicarbonate transport systems, periplasmic components 1
4 Alkanesulfonate monooxygenase (EC 1.14.14.5) 2
5 Alkanesulfonates ABC transporter ATP-binding protein 1
6 Alkanesulfonates transport system permease protein 3
7 Alkanesulfonates-binding protein 1
8 Alpha-ketoglutarate-dependent taurine dioxygenase (EC 1.14.11.17) 1
9 Arylsulfatase (EC 3.1.6.1) 1
10 FMN reductase (EC 1.5.1.29) 1
11 Putative arylsulfatase regulatory protein 1

ORF: Open reading frame.

Table A5.

Microtetraspora sp. AC03309 secondary metabolite biosynthetic gene clusters (BGCs) were predicted using AntiSMASH 6.0.

Region Type From (bp) To (bp) Most Similar Known Cluster Similarity
Region 5.1 other 406 41,026
Region 7.1 NRPS 58,409 104,012 tetronasin Polyketide 3%
Region 8.1 redox-cofactor 1 16,071
Region 8.2 lanthipeptide-class-iv 119,417 142,221
Region 11.1 lanthipeptide-class-iv 4363 27,032 blasticidin S Other 7%
Region 11.2 NRPS,T1PKS 87,888 145,746 nostopeptolide A2 Polyketide + NRP:Cyclic depsipeptide 25%
Region 14.1 T3PKS 105,469 141,262 alkylresorcinol Polyketide 66%
Region 16.1 RiPP-like 121,803 132,618
Region 17.1 terpene 20,289 46,240 hopene Terpene 46%
Region 26.1 terpene 88,473 108,659 frankiamicin Polyketide 14%
Region 28.1 NRPS 1 28,384 5-acetyl-5,10-dihydrophenazine-1-carboxylic acid/5-(2-hydroxyacetyl)-5,10-dihydrophenazine-1-carboxylic acid/endophenazine A1/endophenazine F/endophenazine G Other:Phenazine 8%
Region 34.1 betalactone,terpene 62,313 94,083 geosmin Terpene 100%
Region 39.1 lanthipeptide-class-iii 66,288 83,988
Region 44.1 NRPS 1 42,513 acarviostatin I03/acarviostatin II03/acarviostatin III03/acarviostatin IV03 Saccharide 11%
Region 44.2 T1PKS,lanthipeptide-class-iv 48,145 75,803 labyrinthopeptin A2/labyrinthopeptin A1/labyrinthopeptin A3 RiPP:Lanthipeptide 40%
Region 45.1 terpene 24,504 45,502
Region 49.1 NRPS 1 32,408 herboxidiene Polyketide 3%
Region 57.1 thiopeptide,LAP 33,174 64,696 muraymycin C1 NRP + Polyketide 7%
Region 61.1 siderophore 17,145 30,431
Region 67.1 NRPS 1 50,370 triacsins Other 25%
Region 71.1 siderophore 1 8702 desferrioxamine E Other 75%
Region 91.1 lanthipeptide-class-iv 3240 26,017 labyrinthopeptin A2/labyrinthopeptin A1/labyrinthopeptin A3 RiPP:Lanthipeptide 40%
Region 93.1 NRPS 1 28,814 catenulisporolides NRP + Polyketide 5%
Region 135.1 lanthipeptide-class-iii 1 11,872 catenulipeptin RiPP:Lanthipeptide 60%

Region, contig of the draft genome; NRPS, Non-ribosomal peptide synthetase cluster; RiPP, ribosomally synthesized and post-translationally modified peptide product (RiPP) cluster; RRE-containing, RRE-element containing cluster; saccharide, Saccharide cluster (loose strictness, likely from primary metabolism); T1PKS, Type I PKS (Polyketide synthase); T2PKS, Type II PKS; T3PKS, Type III PKS.

Table A6.

Distribution and loci of β-oxidation related putative genes in the draft genome of Microtetraspora sp. AC03309 based on RAST server analysis.

Transcriptional Regulator, TetR Family on the Same Contig as lcp Gene
Contig Start (bp) Stop (bp) Length (bp)
1 contig000003 19,522 18,260 1263
2 contig000003 28,599 29,279 681
Twin-Arginine Translocation Protein, TAT Protein (TatA, TatB, TatC)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000002 137,788 137,363 426
2 contig000113 18,270 18,629 360
3 contig000133 9169 9507 339
4 contig000133 9535 10,389 855
Mammalian Cell Entry, Mce (Mce1D, Mce1D)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000186 1797 1339 459
2 contig000629 96 284 189
Acyl-CoA synthase
Contig Start (bp) Stop (bp) Length (bp)
1 contig000004 157,269 155,719 1551
2 contig000004 152,549 150,963 1587
3 contig000033 8187 6544 1644
Acyl-CoA Dehydrogenase (EC 1.3.8.1) (EC 1.3.8.7) (Putative)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000016 19,917 20,870 954
2 contig000016 24,758 23,676 1083
3 contig000038 54,006 55,709 1704
4 contig000038 55,738 57,438 1701
5 contig000063 22,059 23,198 1140
6 contig000070 24,723 23,602 1122
2,4-dienoyl-CoA Reductase, NADH: Flavin Oxidoreductases, Old Yellow Enzyme Family
Contig Start (bp) Stop (bp) Length (bp)
1 contig000070 29,836 28,598 1239
Enoyl-CoA Hydratases (EC 4.2.1.17)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000004 157,510 158,325 816
2 contig000008 7568 6855 711
3 contig000008 11,332 12,129 798
4 contig000013 81,498 80,584 915
5 contig000014 109,166 109,984 819
6 contig000016 7177 8541 1365
7 contig000016 14,015 13,206 810
8 contig000029 64,705 66,807 2103
9 contig000030 66,724 65,951 774
10 contig000034 65,180 64,380 801
11 contig000049 15,615 14,776 840
12 contig000066 20,230 20,994 765
13 contig000084 24,228 25,004 777
14 contig000113 12,043 11,240 804
3-hydroxyacyl-CoA Dehydrogenases (EC 1.1.1.35)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 58,250 56,769 1482
2 contig000008 27,541 26,771 771
3 contig000008 35,830 36,684 855
4 contig000016 5912 5157 756
5 contig000029 64,705 66,807 2103
6 contig000628 289 86 204
3-ketoacyl-CoA Thiolase (EC 2.3.1.16)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 49,954 48,761 1194
2 contig000002 54,042 52,825 1218
3 contig000005 108,324 109,448 1125
4 contig000008 19,025 17,337 1689
5 contig000008 34,593 35,762 1170
6 contig000008 70,364 69,177 1188
7 contig000009 12,987 11,806 1182
8 contig000025 61,696 62,844 1149
9 contig000029 63,524 64,708 1185
10 contig000033 3101 1878 1224
11 contig000033 6551 5379 1173
12 contig000034 68,356 67,148 1209
13 contig000049 17,108 18,265 1158
14 contig000066 45,751 46,896 1146
15 contig000090 24,745 23,573 1173
α-Methylacyl-CoA Racemase (Mcr) (EC 5.1.99.4)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000016 8557 9753 1194
2 contig000016 110,010 111,122 1113
3 contig000032 61,506 60,388 1119
Superoxide Dismutase
Contig Start (bp) Stop (bp) Length (bp)
1 contig000020 73,292 72,687 606
2 contig000056 23,468 23,869 402

Appendix B

Figure A2.

Figure A2

Cluster of Orthologous (COGs) for Dactylosporangium sp. AC04546 analyzed using egg-NOG mapper v.2 [42]. CELLULAR PROCESSES AND SIGNALING [D] Cell cycle control, cell division, chromosome partitioning, [M] Cell wall/membrane/envelope biogenesis, [N] Cell motility; [O] Post-translational modification, protein turnover, and chaperones, [T] Signal transduction mechanisms, [U] Intracellular trafficking, secretion, and vesicular transport, [V] Defense mechanisms [W] Extracellular structures, [Y] Nuclear structure, [Z] Cytoskeleton; INFORMATION STORAGE AND PROCESSING [A] RNA processing and modification, [B] Chromatin structure and dynamics, [J] Translation, ribosomal structure and biogenesis, [K] Transcription, [L] Replication, recombination and repair; METABOLISM [C] Energy production and conversion, [E] Amino acid transport and metabolism, [F] Nucleotide transport and metabolism, [G] Carbohydrate transport and metabolism, [H] Coenzyme transport and metabolism, [I] Lipid transport and metabolism, [P] Inorganic ion transport and metabolism, [Q] Secondary metabolites biosynthesis, transport, and catabolism; POORLY CHARACTERIZED [R] General function prediction only, [S] Function unknown.

Figure A3.

Figure A3

Dactylosporangium sp. AC04546 polyhydroxybutyrate metabolism subsystem based on KEGG pathway, predicted by RAST server, and viewed using The SEED Viewer. Color on the MAP corresponds to the predicted scenario in the legend below.

Table A7.

Dactylosporangium sp. AC04546 CRISPR array detected using CRISPRFinder server.

Contig Start (bp) Stop (bp)
1 Contig000003 116,444 121,041
2 Contig000003 136,865 140,549
3 Contig000003 140,628 140,897
4 Contig000003 140,978 141,433
5 Contig000003 158,732 160,550
6 Contig000003 167,167 169,203
7 Contig 000002 176,434 176,695
8 Contig000031 68,133 68,314
9 Contig000051 75,685 76,012
10 Contig000103 11,150 11,388
11 Contig000106 41,651 41,808

Table A8.

Dactylosporangium sp. AC04546 antibiotic resistant genes identified from CARD database.

Contig Start (bp) Stop (bp) Length (bp) Classification Identity (%)
1 Contig000013 85,766 85,392 375 aminoglycoside (ARO:3003395) 83
2 Contig000013 82,643 81,450 1194 glycopeptide antibiotic (ARO:3005036) 89

Table A9.

Dactylosporangium sp. AC04546 drug target gene identified using PATRIC server, verified using DrugBank server.

Contig Product Start (bp) Stop (bp) Length (bp) Query Coverage Identity
(%)
1 contig00024 Cell division protein FtsZ, ftsZ 41,193 42,296 386 85 83
2 contig00121 RecA protein, recA 1566 517 1050 93 88

Table A10.

Dactylosporangium sp. AC04546 urease and urea transporter putative genes identified using RAST server.

Contig Start (bp) Stop (bp) Length (bp) Function
1 contig000144 11,078 11,380 303 Urease gamma subunit (EC 3.5.1.5) UreA
2 contig000144 11,377 11,682 306 Urease beta subunit (EC 3.5.1.5) UreB
3 contig000144 11,679 13,388 1710 Urease alpha subunit (EC 3.5.1.5) UreC
4 contig000144 13,391 14,050 660 Urease accessory protein UreF
5 contig000144 13,391 14,050 660 Urease accessory protein UreF
6 contig000144 13,391 14,050 660 Urease accessory protein UreF
7 contig000144 14,040 14,738 699 Urease accessory protein UreG
8 contig000144 14,040 14,738 699 Urease accessory protein UreG
9 contig000144 14,735 15,394 660 Urease accessory protein UreD
10 contig000144 14,735 15,394 660 Urease accessory protein UreD
11 contig000003 213,232 214,527 1296 Urea ABC transporter, substrate-binding protein UrtA
12 contig000003 214,640 215,524 885 Urea ABC transporter, permease protein UrtB
13 contig000003 215,521 216,615 1095 Urea ABC transporter, permease protein UrtC
14 contig000003 216,612 217,448 837 Urea ABC transporter, ATPase protein UrtD
15 contig000003 217,450 218,133 684 Urea ABC transporter, ATPase protein UrtE
16 contig000174 8890 9240 351 Urea ABC transporter, ATPase protein UrtE

Table A11.

Dactylosporangium sp. AC04546 secondary metabolite biosynthetic gene clusters (BGCs) were predicted using AntiSMASH 6.0.

Region Type From To Most Similar Known Cluster Similarity
Region 7.1 other 1 32,122
Region 7.2 butyrolactone 181,275 189,513 colabomycin E Polyketide:Type II 4%
Region 9.1 betalactone 127,964 156,777
Region 23.1 LAP 63,471 86,862
Region 28.1 terpene 63,486 89,541 hopene Terpene 46%
Region 29.1 NRPS 1 53,614 gobichelin A/gobichelin B NRP 27%
Region 33.1 redox-cofactor 47,552 69,629 lankacidin C NRP + Polyketide 20%
Region 38.1 lanthipeptide-class-iv 1 17,570 salinilactam Polyketide 8%
Region 47.1 RiPP-like 1 5832
Region 52.1 thioamide-NRP 23,205 83,117 netropsin NRP 27%
Region 58.1 redox-cofactor 54,961 76,748
Region 62.1 NAPAA 27,298 61,263
Region 79.1 terpene 39,001 58,687 isorenieratene Terpene 25%
Region 81.1 lassopeptide 19,124 41,635 siamycin I RiPP 28%
Region 87.1 T2PKS 1 51,425 arenimycin A Polyketide:Type II + Saccharide:Hybrid/tailoring 68%
Region 90.1 terpene 35,800 49,030 calicheamicin Polyketide 5%
Region 99.1 T3PKS 20,966 45,958 alkyl-O-dihydrogeranyl-methoxyhydroquinones Terpene + Polyketide 57%
Region 118.1 NRPS 8823 36,925 A54145 NRP 3%
Region 229.1 siderophore 253 6171

Region, contig of the draft genome; NRPS, Non-ribosomal peptide synthetase cluster; RiPP, ribosomally synthesized and post-translationally modified peptide product (RiPP) cluster; RRE-containing, RRE-element containing cluster; saccharide, Saccharide cluster (loose strictness, likely from primary metabolism); T1PKS, Type I PKS (Polyketide synthase); T2PKS, Type II PKS; T3PKS, Type III PKS.

Table A12.

Distribution and loci of β-oxidation related putative genes in the draft genome of Dactylosporangium sp. AC04546.

Twin-Arginine Translocation Protein, TAT Protein (TatA, TatB, TatC)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000009 102,753 102,487 267
2 contig000071 21,417 20,446 972
3 contig000071 21,698 21,432 267
4 contig000128 29,800 29,369 432
Acyl-CoA Synthase (EC 6.2.1.1)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000098 31,823 33,694 1872
2 contig000151 21,809 19,845 1965
Transcriptional Regulator, TetR Family on the Same Contig as lcp Gene
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 362,871 363,434 564
2 contig000082 7433 8032 600
3 contig000082 41,434 40,763 672
4 contig000082 43,443 42,790 654
Acyl-CoA Dehydrogenase (EC 1.3.8.1) (EC 1.3.8.8) (Putative)
Contig Start (bp) Stop (bp) Length (bp)
contig000001 308,373 309,527 1155
contig000002 210,799 211,995 1197
contig000002 226,160 224,997 1164
contig000006 79,214 80,359 1146
contig000006 91,911 93,056 1146
contig000006 109,177 110,382 1206
contig000006 123,342 124,502 1161
contig000007 32,267 31,008 1260
contig000007 42,815 43,978 1164
contig000008 111,357 112,454 1098
contig000009 125,869 124,712 1158
contig000010 136,785 135,604 1182
contig000010 151,583 150,426 1158
contig000015 106,328 105,189 1140
contig000015 125,651 124,686 966
contig000015 126,787 125,651 1137
contig000022 41,492 42,652 1161
contig000026 55,545 54,331 1215
contig000031 60,451 59240 1212
contig000032 93,065 91,926 1140
contig000039 4910 3720 1191
contig000039 26,773 27,924 1152
contig000043 24,574 26,259 1686
contig000058 40,472 41,617 1146
contig000058 44,004 45,245 1242
contig000070 60,103 61,281 1179
contig000079 56,242 57,411 1170
contig000079 57,408 58,457 1050
contig000082 5300 6439 1140
contig000082 39,644 40,777 1134
contig000095 11,194 12,378 1185
contig000095 12,375 13,523 1149
contig000102 18,437 17,304 1134
contig000108 19,517 20,767 1251
contig000116 8097 6244 1854
contig000121 6633 5491 1143
contig000128 19,042 17,828 1215
contig000154 11,134 9848 1287
contig000154 12,217 11,150 1068
contig000154 13,405 12,230 1176
contig000157 3155 4306 1152
contig000202 7053 8201 1149
contig000218 2054 126 1929
2,4-dienoyl-CoA Reductase (EC 1.3.1.34)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000007 126,818 125,733 1086
Enoyl-CoA Hydratases (EC 4.2.1.17)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 296,029 295,283 747
2 contig000001 300,636 301,421 786
3 contig000001 307,165 306,362 804
4 contig000001 329,756 330,586 831
5 contig000001 344,214 344,978 765
6 contig000002 202,945 202,163 783
7 contig000002 206,845 205,931 915
8 contig000006 81,885 81,088 798
9 contig000006 89,484 90,293 810
10 contig000006 97,828 96,953 876
11 contig000006 114,743 11,3946 798
12 contig000006 118,886 118,125 762
13 contig000006 120,324 122,495 2172
14 contig000006 124,537 125,340 804
15 contig000008 131,053 131,946 894
16 contig000009 130,569 131,345 777
17 contig000015 104,062 103,208 855
18 contig000017 101,441 100,656 786
19 contig000019 132,075 132,860 786
20 contig000025 2819 2001 819
21 contig000025 43,741 42,917 825
22 contig000027 47,243 48,025 783
23 contig000028 22,979 23,818 840
24 contig000028 26,480 28,549 2070
25 contig000031 14,833 12,764 2070
26 contig000032 69,957 70,736 780
27 contig000032 90,750 89,941 810
28 contig000039 8258 8986 729
29 contig000039 12,002 11,265 738
30 contig000039 33,697 34,668 972
31 contig000039 35,986 36,708 723
32 contig000043 48,021 50,117 2097
33 contig000045 37,575 36,832 744
34 contig000047 5992 5237 756
35 contig000048 27,562 26,795 768
36 contig000070 58,232 59,101 870
37 contig000070 61,278 62,096 819
38 contig000082 28,779 30,890 2112
39 contig000095 10,175 9405 771
40 contig000095 20,285 21,049 765
41 contig000095 30,027 29,176 852
42 contig000114 7605 8369 765
43 contig000174 16,732 17,184 453
44 contig000227 3486 2695 792
3-Hydroxyacyl-CoA Dehydrogenases (EC 1.1.1.35)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000017 39,722 41,509 1788
2 contig000018 104,278 105,594 1317
3 contig000095 18,898 18,137 762
4 contig000095 21,871 21,101 771
Thiolase/3-Ketoacyl-CoA Thiolase (EC 2.3.1.16)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 189,682 190,872 1191
2 contig000001 318,428 317,205 1224
3 contig000001 337,505 336,360 1146
4 contig000006 78,027 79,214 1188
5 contig000006 119,071 120,294 1224
6 contig000015 116,318 115,128 1191
7 contig000015 118,590 119,738 1149
8 contig000017 68,346 69,533 1188
9 contig000018 104,185 102,911 1275
10 contig000027 53,803 54,987 1185
11 contig000028 25,272 26,474 1203
12 contig000031 16,023 14,830 1194
13 contig000032 86,429 85,236 1194
14 contig000032 97,872 95,914 1959
15 contig000043 46,807 48,018 1212
16 contig000058 45,434 46,648 1215
17 contig000082 27,565 28,776 1212
18 contig000095 20,128 18,941 1188
19 contig000105 40,143 38,899 1245
20 contig000007 41,311 42,423 1113
21 contig000039 18,566 19,750 1185
α-Methylacyl-CoA Racemase (Mcr) (EC 5.1.99.4)
Contig Start (bp) Stop (bp) Length (bp)
1 contig000001 326,963 328,114 1152
2 contig000027 43,150 41,963 1188
3 contig000032 91,899 90,757 1143
4 contig000082 3034 1871 1164
5 contig000095 15,365 16,525 1161

Author Contributions

A.A.B.: Data Curation, Writing—Original Draft, Investigation, Formal Analysis, Visualization, Funding Acquisition, J.N.: Resources, Writing—Review and Editing, T.C.Y.: Project Administration, Funding Acquisition, K.S.: Supervision Project, Conceptualization, Writing—Review and Editing. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Government of Sarawak under USM grant number 304.PBIOLOGI.6501009.J136.

Data Availability Statement

Contigs used in this study were deposited into the National Centre for Biotechnology Information (NCBI) database; Microtetraspora sp. AC03309 under the BioProject ID: PRJNA668755, with BioSample Accessions SUB8307686 and Dactylosporangium sp. ACO4546 under the BioProject ID: PRJNA749440, with BioSample Accessions SUB10069292. All the other data supporting the findings of this study are available in this published article and its supplementary information files.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Cornish K. Alternative natural rubber crops: Why should we care? Technol. Innov. 2017;18:244–255. doi: 10.21300/18.4.2017.245. [DOI] [Google Scholar]
  • 2.Blaettler K.G. The Manufacturing Process of Rubber. 2018. [(accessed on 23 August 2021)]. Available online: https://sciencing.com/manufacturing-process-rubber-5206099.html.
  • 3.Valdés C., Hernández C., Morales-Vera R., Andler R. Desulfurization of vulcanized rubber particles using biological and couple microwave-chemical methods. Front. Environ. Sci. 2021;9:1–10. doi: 10.3389/fenvs.2021.633165. [DOI] [Google Scholar]
  • 4.Andler R. Bacterial and enzymatic degradation of poly(cis-1,4-isoprene) rubber: Novel biotechnological applications. Biotechnol. Adv. 2020;44:107606. doi: 10.1016/j.biotechadv.2020.107606. [DOI] [PubMed] [Google Scholar]
  • 5.Kasai D. Poly(cis-1,4-isoprene)-cleavage enzymes from natural rubber-utilizing bacteria. Biosci. Biotechnol. Biochem. 2020;84:1089–1097. doi: 10.1080/09168451.2020.1733927. [DOI] [PubMed] [Google Scholar]
  • 6.Spence D., Van Niel C.B. Bacterial decomposition of the rubber in Hevea latex. Ind. Eng. Chem. 1936;28:847–850. doi: 10.1021/ie50319a023. [DOI] [Google Scholar]
  • 7.De Vries O. Decomposition of rubber hydrocarbons by fungi. Zentbl. Bakteriol. Parasitenkd. Infekt. 1928;74:22–24. [Google Scholar]
  • 8.Shaposhnikov V., Rabotnova I., Iarmola G., Kuznetsova V., Mozokhina-Porshniakova N.N. Destructive effect of bacterial development on natural rubber. Mikrobiologiia. 1952;21:47–54. [PubMed] [Google Scholar]
  • 9.Röther W., Birke J., Grond S., Beltran J.M., Jendrossek D. Production of functionalized oligo-isoprenoids by enzymatic cleavage of rubber. Microb. Biotechnol. 2017;10:1426–1433. doi: 10.1111/1751-7915.12748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hiessl S., Schuldes J., Thürmer A., Halbsguth T., Bröker D., Angelov A., Liebl W., Daniel R., Steinbüchel A. Involvement of two latex-clearing proteins during rubber degradation and insights into the subsequent degradation pathway revealed by the genome sequence of Gordonia polyisoprenivorans strain VH2. Appl. Environ. Microbiol. 2012;78:2874–2887. doi: 10.1128/AEM.07969-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Andler R., Vivod R., Steinbüchel A. Synthesis of polyhydroxyalkanoates through the biodegradation of poly(cis-1,4-isoprene) rubber. J. Biosci. Bioeng. 2019;127:360–365. doi: 10.1016/j.jbiosc.2018.08.015. [DOI] [PubMed] [Google Scholar]
  • 12.Tsuchii A., Suzuki T., Takeda K. Microbial degradation of natural rubber vulcanizates. Appl. Environ. Microbiol. 1985;50:965–970. doi: 10.1128/aem.50.4.965-970.1985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Azadi D., Shojaei H., Mobasherizadeh S., Naser A.D. Screening, isolation and molecular identification of biodegrading mycobacteria from Iranian ecosystems and analysis of their biodegradation activity. AMB Express. 2017;7:180. doi: 10.1186/s13568-017-0472-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Goodfellow M., Williams S.T. Ecology of actinomycetes. Annu. Rev. Microbiol. 1983;37:189–216. doi: 10.1146/annurev.mi.37.100183.001201. [DOI] [PubMed] [Google Scholar]
  • 15.Manurung R., Abdullah Z.C., Ahmad F.B., Kuek C. Biodiversity-biotechnology: Gateway to discoveries; Proceedings of the Sustainable Utilization and Wealth Creation; Kuching, Sarawak, Malaysia. 19–21 November 2008. [Google Scholar]
  • 16.Hassan Q.P., Bhat A.M., Shah A.M. New and Future Developments in Microbial Biotechnology and Bioengineering: Microbial Secondary Metabolites Biochemistry and Applications. Elsevier; Amsterdam, The Netherlands: 2019. [(accessed on 25 August 2021)]. Chapter 6: Bioprospecting actinobacteria for bioactive secondary metabolites from untapped ecoregions of the Northwestern Himalayas; pp. 77–85. Available online: [DOI] [Google Scholar]
  • 17.Clark T. Enhancing the biodegradation of waste rubber discarded rubber materials; Proceedings of the International Latex Conference; Fairlawn, OH, USA. 2015. [(accessed on 24 July 2020)]. Available online: https://www.rubbernews.com/assets/PDF/RN10077285.PDF. [Google Scholar]
  • 18.Chengalroyen M.D., Dabbs E.R. The biodegradation of latex rubber: A minireview. J. Polym. Environ. 2013;21:874–880. doi: 10.1007/s10924-013-0593-z. [DOI] [Google Scholar]
  • 19.Shivlata L., Satyanarayana T. Thermophilic and alkaliphilic actinobacteria: Biology and potential applications. Front. Microbiol. 2015;6:1014. doi: 10.3389/fmicb.2015.01014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Linh D.V., Huong L.N., Tabata M., Imai S., Iijima S., Kasai D., Anh T.K., Fukuda M. Characterization and functional expression of a rubber degradation gene of a Nocardia degrader from a rubber-processing factory. J. Biosci. Bioeng. 2017;123:412–418. doi: 10.1016/j.jbiosc.2016.11.012. [DOI] [PubMed] [Google Scholar]
  • 21.Jendrossek D., Tomasi G., Kroppenstedt R.M. Bacterial degradation of natural rubber: A privilege of actinomycetes? FEMS Microbiol. Lett. 1997;150:179–188. doi: 10.1016/S0378-1097(97)00072-4. [DOI] [PubMed] [Google Scholar]
  • 22.Vivod R., Andler R., Oetermann S., Altenhoff A.L., Seipel N., Holtkamp M., Hogeback J., Karst U., Steinbüchel A. Characterization of the latex clearing protein of the poly(cis-1,4-isoprene) and poly(trans-1,4-isoprene) degrading bacterium Nocardia nova SH22a. J. Gen. Appl. Microbiol. 2019;65:293–300. doi: 10.2323/jgam.2019.01.003. [DOI] [PubMed] [Google Scholar]
  • 23.Luo Q., Hiessl S., Poehlein A., Daniel R., Steinbüchel A. Insights into the microbial degradation of rubber and gutta-percha by analysis of the complete genome of Nocardia nova SH22a. Appl. Environ. Microbiol. 2014;80:3895–3907. doi: 10.1128/AEM.00473-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Watcharakul S., Röther W., Birke J., Umsakul K., Hodgson B., Jendrossek D. Biochemical and spectroscopic characterization of purified latex clearing protein (Lcp) from newly isolated rubber degrading Rhodococcus rhodochrous strain RPK1 reveals novel properties of Lcp. BMC Microbiol. 2016;16:92. doi: 10.1186/s12866-016-0703-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Nawong C., Umsakul K., Sermwittayawong N. Rubber gloves biodegradation by a consortium, mixed culture and pure culture isolated from soil samples. Braz. J. Microbiol. 2018;49:481–488. doi: 10.1016/j.bjm.2017.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Akkharabunditsakul V., Tanrattanakul V., Umsakul K. Biodegradation of synthetic rubbers by a mixed culture isolated from various rubber factory soils in Songkhla, Thailand. Int. J. Adv. Agric. Environ. Eng. 2017;4:33–37. [Google Scholar]
  • 27.Parte A.C. LPSN-list of prokaryotic names with standing in nomenclature. Nucleic Acids Res. 2018;42:D613–D616. doi: 10.1093/nar/gkt1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Braaz R., Fischer P., Jendrossek D. Novel type of Heme-dependent oxygenase catalyzes oxidative Cleavage of rubber (poly-cis-1,4-isoprene) Appl. Environ. Microbiol. 2004;70:7388–7395. doi: 10.1128/AEM.70.12.7388-7395.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Chia K.-H., Nanthini J., Thottathil G.P., Najimudin N., Haris M.R.H.M., Sudesh K. Identification of new rubber-degrading bacterial strains from aged latex. Polym. Degrad. Stab. 2014;109:354–361. doi: 10.1016/j.polymdegradstab.2014.07.027. [DOI] [Google Scholar]
  • 30.Heisey R.M., Papadatos S. Isolation of microorganisms able to metabolize purified natural rubber. Appl. Environ. Microbiol. 1995;61:3092–3097. doi: 10.1128/aem.61.8.3092-3097.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Shirling E.B., Gottlieb D. Methods for characterization of Streptomyces species. Int. J. Syst. Bacteriol. 1966;16:340. doi: 10.1099/00207713-16-3-313. [DOI] [Google Scholar]
  • 32.Hamaki T., Suzuki M., Fudou R., Jojima Y., Kajiura T., Tabuchi A., Sen K., Shibai H. Isolation of novel bacteria and actinomycetes using soil-extract agar medium. J. Biosci. Bioeng. 2005;99:485–492. doi: 10.1263/jbb.99.485. [DOI] [PubMed] [Google Scholar]
  • 33.Applied Biosystems, Sequence Scanner. Thermo Fisher Scientific; Waltham, MA, USA: [(accessed on 5 August 2021)]. Available online: https://www.thermofisher.cn/cn/zh/home.html. [Google Scholar]
  • 34.Hall T.A. BioEdit: A user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acid Symp. Ser. 1999;41:95–98. [Google Scholar]
  • 35.Kumar S., Stecher G., Li M., Knyaz C., Tamura K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bateman A., Bridge A., Wu C. UniProt. UniProt Consortium (Online) [(accessed on 5 August 2021)]. Available online: https://www.uniprot.org/blast/
  • 37.Gasteiger E., Gattiker A., Hoogland C., Ivanyi I., Appel R.D., Bairoch A. ExPASy: The proteomics server for in-depth protein knowledge and analysis. Nucleic Acids Res. 2003;31:3784–3788. doi: 10.1093/nar/gkg563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Moore E., Arnscheidt A., Krüger A., Strömpl C., Mau M. Section 1 update: Simplified protocols for the preparation of genomic DNA from bacterial cultures. Mol. Microb. Ecol. Man. 2008 doi: 10.1007/978-1-4020-2177-0_101. [DOI] [Google Scholar]
  • 39.Aziz R.K., Bartels D., Best A.A., DeJongh M., Disz T., Edwards R.A., Formsma K., Gerdes S., Glass E.M., Kubal M., et al. The RAST server: Rapid annotations using subsystems technology. BMC Genom. 2008;9:75. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Davis J.J., Wattam A.R., Aziz R.K., Brettin T., Butler R., Butler R.M., Chlenski P., Conrad N., Dickerman A., Dietrich E.M., et al. The PATRIC bioinformatics resource center: Expanding data and analysis capabilities. Nucleic Acids Res. 2020;48:D606–D612. doi: 10.1093/nar/gkz943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Li W., O′Neill K.R., Haft D.H., DiCuccio M., Chetvernin V., Badretdin A., Coulouris G., Chitsaz F., Derbyshire M.K., Durkin A.S., et al. RefSeq: Expanding the prokaryotic genome annotation pipeline reach with protein family model curation. Nucleic Acids Res. 2020;49:1020–1028. doi: 10.1093/nar/gkaa1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Cantalapiedra C.P., Hernández-Plaza A., Letunic I., Huerta-Cepas J. EggNOG-mapper v2: Functional annotation, orthology assignments, and domain prediction at the metagenomic scale. bioRxiv. 2021 doi: 10.1101/2021.06.03.446934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Tatusov R.L., Galperin M.Y., Natale D.A., Koonin E.V. The COG database: A tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res. 2000;28:33–36. doi: 10.1093/nar/28.1.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Kanehisa M., Sato Y., Kawashima M., Furumichi M., Tanabe M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 2015;44:457–462. doi: 10.1093/nar/gkv1070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Grissa I., Vergnaud G., Pourcel C. CRISPRFinder: A web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res. 2007;35:52–57. doi: 10.1093/nar/gkm360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Alcock B.P., Raphenya A.R., Lau T.T., Tsang K.K., Bouchard M., Edalatmand A., Huynh W., Nguyen A.L., Cheng A.A., Liu S., et al. CARD: Antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res. 2020;48:D517–D525. doi: 10.1093/nar/gkz935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Wishart D.S., Feunang Y.D., Guo A.C., Lo E.J., Marcu A., Grant J.R., Sajed T., Johnson D., Li C., Sayeeda Z., et al. DrugBank 5.0: A major update to the DrugBank database for 2018. Nucleic Acids Res. 2018;46:D1074–D1082. doi: 10.1093/nar/gkx1037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Blin K., Shaw S., Kloosterman A.M., Charlop-Powers Z., van Wezel G.P., Medema M.H., Weber T. AntiSMASH 6.0: Improving cluster detection and comparison capabilities. Nucleic Acids Res. 2021;49:W29–W35. doi: 10.1093/nar/gkab335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Overbeek R., Olson R., Pusch G.D., Olsen G.J., Davis J.J., Disz T., Edwards R.A., Gerdes S., Parrello B., Shukla M., et al. The SEED and the rapid annotation of microbial genomes using subsystems technology (RAST) Nucleic Acid Symp. Ser. 2013;42:D206–D214. doi: 10.1093/nar/gkt1226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.UniProt: The universal protein knowledgebase in 2021. Nucleic Acids Res. 2021;49:D480–D489. doi: 10.1093/nar/gkaa1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Bendtsen J.D., Nielsen H., Widdick D., Palmer T., Brunak S. Prediction of twin-arginine signal peptides. BMC Bioinform. 2005;6:167. doi: 10.1186/1471-2105-6-167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Arkin A.P., Cottingham R.W., Henry C.S., Harris N.L., Stevens R.L., Maslov S., Dehal P., Ware D., Perez F., Canon S., et al. KBase: The United States Department of Energy Systems Biology Knowledgebase. Nat. Biotechnol. 2018;36:566–569. doi: 10.1038/nbt.4163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Meier-Kolthoff J.P., Göker M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat. Commun. 2019;10:2182. doi: 10.1038/s41467-019-10210-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Auch A.F., Klenk H.P., Göker M. Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs. Stand. Genomic Sci. 2010;2:142–148. doi: 10.4056/sigs.541628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Hördt A., López M.G., Meier-Kolthoff J.P., Schleuning M., Weinhold L.M., Tindall B., Gronow S., Kyrpides N.C., Woyke T., Göker M. Analysis of 1000+ type-strain genomes substantially improves taxonomic classification of Alphaproteobacteria. Front. Bioeng. Biotechnol. 2020;11:468. doi: 10.3389/fmicb.2020.00468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Berekaa M.M., Linos A., Reichelt R., Keller U., Steinbüchel A. Effect of pretreatment of rubber material on its biodegradability by various rubber degrading bacteria. FEMS Microbiol. Lett. 2000;184:199–206. doi: 10.1111/j.1574-6968.2000.tb09014.x. [DOI] [PubMed] [Google Scholar]
  • 57.Basik A.A., Juboi H., Shamsul S.S.G., Sanglier J.J., Yeo T.C. Actinomycetes isolated from Wetland and Hill Paddy during the warm and cool Seasons in Sarawak, East Malaysia. J. Microbiol. Biotechnol. Food Sci. 2020;9:774–781. [Google Scholar]
  • 58.Rose K., Tenberge K.B., Steinbüchel A. Identification and characterization of genes from Streptomyces sp. strain K30 responsible for clear zone formation on natural rubber latex and poly(cis-1,4-isoprene) rubber degradation. Biomacromolecules. 2005;6:180–188. doi: 10.1021/bm0496110. [DOI] [PubMed] [Google Scholar]
  • 59.Röther W., Austen S., Birke J., Jendrossek D. Molecular insights in the cleavage of rubber by the latex-clearing- protein (Lcp) of Streptomyces sp. strain K30. Appl. Environ. Microbiol. 2016;82:6593–6602. doi: 10.1128/AEM.02176-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Kim M., Oh H.S., Park S.C., Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int. J. Syst. Evol. Microbiol. 2014;64:346–351. doi: 10.1099/ijs.0.059774-0. [DOI] [PubMed] [Google Scholar]
  • 61.Volpiano C.G., Sant′Anna F.H., Ambrosini A., de São José J.F., Beneduzi A., Whitman W.B., de Souza E.M., Lisboa B.B., Vargas L.K., Passaglia L.M. Genomic metrics applied to Rhizobiales (Hyphomicrobiales): Species reclassification, identification of unauthentic genomes and false type strains. Front. Microbiol. 2021;12:734850. doi: 10.3389/fmicb.2021.614957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Farris J.S. Estimating phylogenetic trees from distance matrices. Am. Nat. 1972;106:645–667. doi: 10.1086/282802. [DOI] [Google Scholar]
  • 63.Wang B., Huang C., Zhao H., Benkovic S.J. Unraveling the iterative type I polyketide synthases hidden in Streptomyces. Proc. Natl. Acad. Sci. USA. 2020;117:8449–8454. doi: 10.1073/pnas.1917664117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Tsuchii A., Takeda K. Rubber-degrading enzyme from a bacterial culture. Appl. Environ. Microbiol. 1990;56:269–274. doi: 10.1128/aem.56.1.269-274.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Rose K., Steinbüchel A. Biodegradation of natural rubber and related compounds: Recent insights into a hardly understood catabolic capability of microorganisms. Appl. Environ. Microbiol. 2005;71:2803–2812. doi: 10.1128/AEM.71.6.2803-2812.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Bode H.B., Zeeck A., Pluckhahn K., Jendrossek D. Physiological and chemical investigations into microbial degradation of synthetic poly(cis-1,4-isoprene) Appl. Environ. Microbiol. 2000;66:3680–3685. doi: 10.1128/AEM.66.9.3680-3685.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Hiessl S., Böse D., Oetermann S., Eggers J., Pietruszka J., Steinbüchel A. Latex clearing protein-An oxygenase cleaving poly(cis-1,4-isoprene) rubber at the cis double bonds. Appl. Environ. Microbiol. 2014;80:5231–5240. doi: 10.1128/AEM.01502-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Sharma V., Siedenburg G., Birke J., Mobeen F., Jendrossek D., Prakash T. Metabolic and taxonomic insights into the gram-negative natural rubber degrading bacterium Steroidobacter cummioxidans sp. nov., strain 35Y. PLoS ONE. 2018;13:e0200399. doi: 10.1371/journal.pone.0197448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Oetermann S., Jongsma R., Coenen A., Keller J., Steinbüchel A. LcpR VH2—Regulating the expression of latex-clearing proteins in Gordonia polyisoprenivorans VH2. Microbiology. 2019;165:343–354. doi: 10.1099/mic.0.000755. [DOI] [PubMed] [Google Scholar]
  • 70.Yikmis M., Arenskötter M., Rose K., Lange N., Wernsmann H., Wiefel L., Steinbüchel A. Secretion and transcriptional regulation of the latex-clearing protein, Lcp, by the rubber-degrading bacterium Streptomyces sp. strain K30. Appl. Environ. Microbiol. 2008;74:5373–5382. doi: 10.1128/AEM.01001-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Coenen A., Oetermann S., Steinbüchel A. Identification of LcpRB A3 (2), a novel regulator of Lcp expression in Streptomyces coelicolor A3 (2) Appl. Microbiol. Biotechnol. 2019;103:5715–5726. doi: 10.1007/s00253-019-09896-8. [DOI] [PubMed] [Google Scholar]
  • 72.Schulte C., Arenskötter M., Berekaa M.M., Arenskötter Q., Priefert H., Steinbüchel A. Possible involvement of an extracellular superoxide dismutase (SodA) as a radical scavenger in poly(cis-1,4-isoprene) degradation. Appl. Environ. Microbiol. 2008;74:7643–7653. doi: 10.1128/AEM.01490-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Rodriguez-R L.M., Konstantinidis K.T. Bypassing cultivation to identify bacterial species. Microbe. 2014;9:111–118. doi: 10.1128/microbe.9.111.1. [DOI] [Google Scholar]
  • 74.Thompson C.C., Chimetto L., Edwards R.A., Swings J., Stackebrandt E., Thompson F.L. Microbial genomic taxonomy. BMC Genom. 2013;14:913. doi: 10.1186/1471-2164-14-913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Behera B.K., Chakraborty H.J., Patra B., Rout A.K., Dehury B., Das B.K., Sarkar D.J., Parida P.K., Raman R.K., Rao A.R., et al. Metagenomic analysis reveals bacterial and fungal diversity and their bioremediation potential from sediments of River Ganga and Yamuna in India. Front. Microbiol. 2020;11:2531. doi: 10.3389/fmicb.2020.556136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Elustondo P., Zakharian E., Pavlov E. Identification of the polyhydroxybutyrate granules in mammalian cultured cells. Chem. Biodivers. 2012;9:2597–2604. doi: 10.1002/cbdv.201200294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Nanthini J., Ong S.Y., Sudesh K. Identification of three homologous latex-clearing protein (lcp) genes from the genome of Streptomyces sp. strain CFMR 7. Gene. 2017;628:146–155. doi: 10.1016/j.gene.2017.07.039. [DOI] [PubMed] [Google Scholar]
  • 78.Gibu N., Arata T., Kuboki S., Linh D.V., Fukuda M., Steinbüchel A., Kasai D. Characterization of the genes responsible for rubber degradation in Actinoplanes sp. strain OR16. Appl. Microbiol. Biotechnol. 2020;104:7367–7376. doi: 10.1007/s00253-020-10700-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Nandiyanto A.B.D., Oktiani R., Ragadhita R. How to read and interpret FTIR spectroscope of organic material. Indones. J. Sci. Technol. 2019;4:97–118. doi: 10.17509/ijost.v4i1.15806. [DOI] [Google Scholar]
  • 80.Birke J., Jendrossek D. Rubber oxygenase and latex clearing protein cleave rubber to different products and use different cleavage mechanisms. Appl. Environ. Microbiol. 2014;80:5012–5020. doi: 10.1128/AEM.01271-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Fainleib A., Pires R.V., Lucas E.F., Soares B.G. Degradation of non-vulcanized natural rubber—Renewable resource for fine chemicals used in polymer synthesis. Polimeros. 2013;23:441–450. doi: 10.4322/polimeros.2013.070. [DOI] [Google Scholar]
  • 82.Craciun G., Manaila E., Stelescu M.D. Materials new elastomeric materials based on natural rubber obtained by electron beam irradiation for food and pharmaceutical use. Materials. 2018;9:999. doi: 10.3390/ma9120999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Allan K.M. Ph.D. Thesis. Stellenbosch University; Stellenbosch, South Africa: Mar, 2018. The Microbial Devulcanisation of Waste Ground Tyre Rubber Using Acidophilic Microorganisms. [Google Scholar]
  • 84.Kole P.J., Löhr A.J., Van Belleghem F.G.A.J., Ragas A.M.J. Wear and tear of tyres: A stealthy source of microplastics in the environment. Int. J. Environ. Res. Public Health. 2017;14:1265. doi: 10.3390/ijerph14101265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Sieber R., Kawecki D., Nowack B. Dynamic probabilistic material flow analysis of rubber release from tires into the environment. Environ. Pollut. 2020;258:113573. doi: 10.1016/j.envpol.2019.113573. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Contigs used in this study were deposited into the National Centre for Biotechnology Information (NCBI) database; Microtetraspora sp. AC03309 under the BioProject ID: PRJNA668755, with BioSample Accessions SUB8307686 and Dactylosporangium sp. ACO4546 under the BioProject ID: PRJNA749440, with BioSample Accessions SUB10069292. All the other data supporting the findings of this study are available in this published article and its supplementary information files.


Articles from Polymers are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES