A Genome-Wide Analysis of Antibiotic Producing Genes in Streptomyces globisporus SP6C4

Article information

Plant Pathol J. 2021;37(4):389-395
Publication date (electronic) : 2021 August 1
doi : https://doi.org/10.5423/PPJ.NT.03.2021.0047
1Research Institute of Life Science, Gyeongsang National University, Jinju 52828, Korea
2Division of Applied Life Science (BK21Plus) and IALS, Gyeongsang National University, Jinju 52828, Korea
*Corresponding author. Phone) +82-55-772-1922, FAX) +82-55-772-1929, E-mail) kwak@gnu.ac.kr
Handling Editor : Yong Hoon Lee
Received 2021 March 17; Revised 2021 April 5; Accepted 2021 April 7.
This article has been corrected. See Plant Pathol J. 2021 Oct 01; 37(5): 503.

Abstract

Soil is the major source of plant-associated microbes. Several fungal and bacterial species live within plant tissues. Actinomycetes are well known for producing a variety of antibiotics, and they contribute to improving plant health. In our previous report, Streptomyces globisporus SP6C4 colonized plant tissues and was able to move to other tissues from the initially colonized ones. This strain has excellent antifungal and antibacterial activities and provides a suppressive effect upon various plant diseases. Here, we report the genome-wide analysis of antibiotic producing genes in S. globisporus SP6C4. A total of 15 secondary metabolite biosynthetic gene clusters were predicted using antiSMASH. We used the CRISPR/Cas9 mutagenesis system, and each biosynthetic gene was predicted via protein basic local alignment search tool (BLAST) and rapid annotation using subsystems technology (RAST) server. Three gene clusters were shown to exhibit antifungal or antibacterial activity, viz. cluster 16 (lasso peptide), cluster 17 (thiopeptide-lantipeptide), and cluster 20 (lantipeptide). The results of the current study showed that SP6C4 has a variety of antimicrobial activities, and this strain is beneficial in agriculture.

The members of genus Streptomyces are a soil bacterium that produce various bioactive compounds (Bentley et al., 2002; Deshpande et al., 1988; Durán et al., 2018; Lee et al., 2020). Nearly 80% of the antibiotics used by humans are produced by Streptomyces (Durán et al., 2018; Harir et al., 2018; Hu et al., 2018). Many secondary metabolites produced by Streptomyces have antibacterial, antifungal, and anticancer properties (Genilloud, 2017; Gomes et al., 2017; Oskay, 2009). The genera Bacillus, Lactobacillus, Enterococcus, Streptococcus, and Lactococcus are known to produce ribosome-synthesized antibiotic peptides such as lantibiotics and bacteriocins (Cotter et al., 2005; Dischinger et al., 2009; Jabés et al., 2011). Nonribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) metabolites are synthesized by large enzymatic complexes that are mostly produced by the order Actinomycetales and Bacillus species (Ansari et al., 2004). Furthermore, the genus Streptomyces produce two-thirds of natural antibiotics, antitumor agents, and immune suppressors (Maiti et al., 2020).

The presence of Streptomyces spp. has been verified in the phyllosphere, rhizosphere, and endosphere of plants. The phyllosphere has recently drawn attention for being an important microbial habitat (Lindow and Brandl, 2003; Redford et al., 2010). In our previous study, Streptomyces globisporus strain S4-7 was well characterized as a responsible agent for the soil suppressiveness of Fusarium wilt of strawberry. This suggested the involvement of heat tolerance compounds and action in disease suppression (Cha et al., 2016). S. globisporus strain S4-7 produced a novel thiopeptide, conprimycin, which has several macrocyclic ring systems consistent with other thiopeptides (Cha et al., 2016). The bioactive conprimycin produced by S4-7 inhibits fungal cell wall biosynthesis and RNA polymerase activity (Cha et al., 2016). In addition, another antifungal lantipeptide gene (lanM) was identified and named grisin (Kim et al., 2019b).

The genome of the bacterial strain used in this study has been reported by using shotgun genome sequencing (Cha et al., 2016) and PacBio genome sequencing reported by Kim et al. (2019a). We used antiSMASH (Medema et al., 2011) to predict the secondary metabolite gene clusters in this strain. The 15 predicted antibiotic-related genes were divided into groups of linked NRPS-PKS, PKS, ribosomal protein synthase-lantipeptide, and thiopeptide (Table 1, Fig. 1). Analysis of gene expression by real-time quantitative reverse transcription-polymerase chain reaction revealed that members of the antibiotic-related genes were reliably expressed, except for cluster 13 (Fig. 2A, Supplementary Table 1). To amplify the left arm (LA) and right arm (RA) regions for each target gene by CRISPR-Cas9 mutagenesis, SP6C4 genomic DNA (1 μg) and gene-specific primers were used (Supplementary Table 2). For each gene, (1) LA and RA regions were amplified using PCR under the following conditions: initial denaturation (at 98°C for 10 min) followed by 30 cycles of denaturation (at 98°C for 1 min), annealing (at 52–58°C for 30 s, respective primer tm), elongation (at 72°C for 30 s), and final extension (at 72°C for 5 min); (2) the LA and RA regions were linked by PCR (initial denaturation [at 98°C for 30 s], five cycles for denaturation [at 98°C for 8 s], annealing [at 50°C for 30 s], elongation [at 72°C for 30 s], and extension [at 72°C for 5 min]); and (3) the target homologous regions including LA and RA were amplified (the final PCR step was similar to [1] LA and RA region PCR conditions, which changed the annealing temperature to 60°C). PCR was performed using MJ Research PTC-200 Thermal Cycler (Bio-Rad, Hercules, CA, USA). The amplicons were loaded onto a 1% agarose gel and eluted in 30 μl of elution buffer (EB buffer) (Expin GelSV kit, GeneAll Biotechnology, Seoul, Korea). A-tailing was performed with 100 mM of deoxyadenosine triphosphate (dATP) (NEB, Ipswich, MA, USA) at 70°C for 30 min, the solution was purified with 5 volumes of GB buffer (Expin GelSV kit) and eluted in 20 μl of EB buffer. The purified molecule was ligated to a pGEM-T easy vector (Promega, Madison, WI, USA) with T4 ligase (Promega) by overnight incubation at 16°C and then transformed into Escherichia coli DH5α. Transformants were detected by blue/white colony selection on LB medium (Luria broth 30 g, agar 20 g/l) with ampicillin (100 μg/ml) and 5-bromo-4-chloro-3-indolyl-β-D-galactopyranoside (X-gal, 40 μg/ml). Plasmids in white colonies were extracted using DokDo-Prep plasmid mini-prep kit (ELPIS-Biotech, Daejeon, Korea). Next, the vector and pCRISPomyces-gRNA (Cobb et al., 2015) were cut using XbaI (NEB, Ipswich, MA, USA), eluted in 30 μl of EB buffer, and a 3:1 ratio ligation was performed with 400,000 units (400 units/μl) of T4-ligase (NEB). The gRNA was cloned into pBHA (2,002 bp), the pCRISPomyces-2 was cut with BbsI (NEB), and the two fragments were ligated with T4 ligase and ligated again with the guide RNA (gRNA). The resulting plasmid was transformed into E. coli ET12567 containing pUZ8002 (Bierman et al., 1992), and transformants were recovered on LB agar containing kanamycin (30 μg/ml), chloramphenicol (25 μg/ ml), and apramycin (50 μg/ml) (Kieser et al., 2000). For seed cultures (E. coli ET12567/pUZ8002), single colonies were inoculated in LB broth containing the three antibiotics, then transferred to 10 ml of LB broth containing the antibiotics and incubated at 37°C for 9 h with shaking at 150 rpm. The cultured cells were first centrifuged (1,914 ×g for 15 min), then gently washed two times in 10 ml LB broth, centrifuged again, and thereafter suspended in 500 μl of LB broth. In a separate Eppendorf tube, 500 μl of 2× YT medium was heated to 50°C for 10 min and mixed with 10 μl of a spore stock of SP6C4 (109 cfu/ml) in 20% glycerol. The washed E. coli cells were added to the SP6C4 spore stock, mixed with a pipette, and spread on PDK agar (potato dextrose [Difco, Franklin Lakes, NJ, USA] 24 g, peptone 10 g, agar 20 g/l). After 16 h, apramycin (50 μg/ml) and nalidixic acid (25 μg/ml) were overlaid on the plates, and 7 days later, colonies were transferred two times onto PDK agar containing apramycin (50 μg/ml). Finally, each mutant was confirmed by PCR. All mutagenized strains and plasmids are shown in Table 2.

Putative antibiotic gene clusters in Streptomyces globisporus SP6C4 predicted by antiSMASH

Fig. 1

Schematic representation of deleted gene using CRISPR/Cas9 system. Left penal shows the distribution of gene functions and CRISPR/Cas9 targeted deletion sites. Group A was NRPS-PKS linked clusters, groups B and C were PKS and NRPS groups. Group D had lantipeptide and lassopeptide clusters. The cluster was characterized using antiSMASH version 4.0.0rc1 (https://antismash.secondarymetabolites.org/).

Fig. 2

Antibiotic activity and related gene clusters in SP6C4. (A) Putative antibiotic gene clusters were predicted by antiSMASH, group A (NRPS-PKS), group B (NRPS), group C (PKS), group D (lantipeptide and lassopeptide). Relative gene expression levels were analyzed by qPCR. recA served as a housekeeping gene and primer information is presented in Supplementary Table 1. Bars represent standard error. (B) Antifungal activity of knockout mutants against B. cinerea. The mutants were created by the CRISPR/Cas9 system. The mutants (10 μl on a 0.8 cm filter disk) were incubated in PDK. After 5 days, an agar block of B. cinerea (0.4 cm diameter) was inoculated at the center of the plate and incubated at 28°C for 7 days (n = 5). CK represent the SP6C4 strain treatment and the numbers on the disc indicate each mutant based on the cluster number. (C) Paenibacillus larvae and Serratia marcescens served as entomopathogens. A two-layer method was employed to evaluate antibacterial activity. SP6C4 (106 cfu/ml, 10 μl) was inoculated on PDK medium. The entomopathogens were mixed into 25 ml of pre-cooled 0.2% PDK and overlaid onto the probiotic plates (final entomopathogen concentration was 105 cfu/ml). The overlaid plates were incubated at 28°C for 5 days and the size of the inhibition zone was measured (CK, a1 to a4; 16 cluster deletion mutants, b1 to b4). Entomopathogen inhibition test data were analyzed using one-way ANOVA, P-value less than 0.05 indicates that the size of the inhibition zones from CK and 16 was significantly different.

Bacteria and plasmids used in this study

Except for the 14-cluster mutant strain, all other mutant strains showed no difference in growth and sporulation from the wild-type strains (data not shown). Antifungal Streptomyces mutant lines were confirmed using a plate assay. First, a single colony was streaked on PDK medium and cultured at 28°C for 5 days. Then the bacterial spore stock was collected with a sterilized cotton ball and filtered using a 10-ml syringe. Spore colony forming units were counted on PDK agar medium and 10 μl of samples were dropped onto 8 mm diameter paper disks on PDK agar. After sporulation (5 days post inoculation), 4 mm diameter plugs of actively growing mycelia of Botrytis cinerea were placed in the center of the plates. Fungal inhibition was evaluated after 7 days. This screening was repeated with 5 plates in each antiSMASH group and activity was defined as −, no inhibition; + (low inhibition), 0.1–0.5 cm; ++ (medium inhibition), 0.5–1 cm; +++ (strong inhibition), 1–1.5 cm; ++++ (maximum inhibition), >1.5 cm. Only the mutants in lantipeptide clusters 17 (tsrD, Conprimycin) and 20 (lanM, Grisin) were significantly less inhibitory to the gray mold pathogen (Fig. 2B). These results indicate that lantipeptide genes in the microbe play a major role in antifungal activity.

A two-layer method was used to evaluate the antibacterial activity against entomopathogenic bacteria, Paenibacillus larvae, and Serratia marcescens. Streptomyces strains were suspended to give 106 cfu/ml, and thereafter 10 μl was inoculated onto a 0.8 cm filter disk on PDK agar. P. larvae and S. marcescens were cultured in PDK broth for 3 days at 28°C, followed by mixing of 5 ml culture of each pathogen into 25 ml of pre-cooled 0.2% PDK agar and overlaying them onto plates. The plates were dried for 30 min, incubated at 28°C for 5 days, and antibacterial activity was indicated by the size of the inhibition zone around the disk. The entomopathogen growth inhibition assay was repeated five times as replications and analysis of variance (ANOVA) followed by Tukey’s honestly significant difference (Tukey’s honestly significant difference) (P = 0.05) for mean separation. All graphs were visualized using ggplots version 3.0.1, and ggplot2 version 2.1.0 in the R software package. A mutant in cluster 16, encoding a lassopeptide, was less active against entomopathogenic bacteria (Fig. 2C). These findings support the hypothesis that the strain SP6C4 carries an arsenal of antibiotics needed to provide dual protection to plants and pollinators (Kim et al., 2019a).

The bacterial isolate in the rhizosphere has antifungal activity against strawberry gray mold fungal pathogens (Cha et al., 2016; Kim et al., 2019a). Studies on Streptomyces functional genes have rarely been conducted before using the CRISPR-Cas9 system. In this study, we used the CRISPR-Cas9 system (which is faster than homologous mutagenesis) to target mutagenesis, which involves the investigation of functional genes at a genome-wide scale. Moreover, our findings improved our understanding of the SP6C4 strain.

Notes

Conflicts of Interest

Youn-Sig Kwak serves as Editor-in-Chief for the Plant Pathology Journal, but has no role in the decision to publish this article. The remaining author has declared no conflicts of interest.

Acknowledgments

This research was supported by an agenda research program funded by the Rural Development Administration (PJ15871) and the Next-Generation BioGreen 21 Program (PJ013250).

Electronic Supplementary Material

Supplementary materials are available at The Plant Pathology Journal website (http://www.ppjonline.org/).

References

Ansari MZ, Yadav G, Gokhale RS, Mohanty D. 2004;NRPS-PKS: a knowledge-based resource for analysis of NRPS/PKS megasynthases. Nucleic Acids Res 32:W405–W413.
Bentley SD, Chater KF, Cerdeño-Tárraga A-M, Challis GL, Thomson NR, James KD, Harris DE, Quail MA, Kieser H, Harper D, Bateman A, Brown S, Chandra G, Chen CW, Collins M, Cronin A, Fraser A, Goble A, Hidalgo J, Hornsby T, Howarth S, Huang C-H, Kieser T, Larke L, Murphy L, Oliver K, O’Neil S, Rabbinowitsch E, Rajandream M-A, Rutherford K, Rutter S, Seeger K, Saunders D, Sharp S, Squares R, Squares S, Taylor K, Warren T, Wietzorrek A, Woodward J, Barrell BG, Parkhill J, Hopwood DA. 2002;Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2). Nature 417:141–147.
Bierman M, Logan R, O’Brien K, Seno ET, Rao RN, Schoner BE. 1992;Plasmid cloning vectors for the conjugal transfer of DNA from Escherichia coli to Streptomyces spp. Gene 116:43–49.
Cha J-Y, Han S, Hong H-J, Cho H, Kim D, Kwon Y, Kwon S-K, Crüsemann M, Lee YB, Kim JF, Giaever G, Nislow C, Moore BS, Thomashow LS, Weller DM, Kwak Y-S. 2016;Microbial and biochemical basis of a Fusarium wilt-suppressive soil. ISME J 10:119–129.
Cobb RE, Wang Y, Zhao H. 2015;High-efficiency multiplex genome editing of Streptomyces species using an engineered CRISPR/Cas system. ACS Synth Biol 4:723–728.
Cotter PD, Hill C, Ross RP. 2005;Bacterial lantibiotics: strategies to improve therapeutic potential. Curr Protein Pept Sci 6:61–75.
Deshpande BS, Ambedkar SS, Shewale JG. 1988;Biologically active secondary metabolites from Streptomyces . Enzyme Microb Technol 10:455–473.
Dischinger J, Josten M, Szekat C, Sahl H-G, Bierbaum G. 2009;Production of the novel two-peptide lantibiotic lichenicidin by Bacillus licheniformis DSM 13. PLoS ONE 4:e6788.
Durán P, Thiergart T, Garrido-Oter R, Agler M, Kemen E, Schulze-Lefert P, Hacquard S. 2018;Microbial interkingdom interactions in roots promote Arabidopsis survival. Cell 175:973–983.
Genilloud O. 2017;Actinomycetes: still a source of novel antibiotics. Nat Prod Rep 34:1203–1232.
Gomes KM, Duarte RS, de Freire Bastos MDC. 2017;Lantibiotics produced by Actinobacteria and their potential applications (a review). Microbiology (Reading) 163:109–121.
Harir M, Bendif H, Bellahcene M, Fortas Z, Pogni R. 2018. Streptomyces secondary metabolites. Basic biology and applications of actinobacteria In : Shymaa E, ed. p. 99–122. IntechOpen. London, UK:
Hu D, Chen Y, Sun C, Jin T, Fan G, Liao Q, Mok KM, Lee M-YS. 2018;Genome guided investigation of antibiotics producing actinomycetales strain isolated from a Macau mangrove ecosystem. Sci Rep 8:14271.
Jabés D, Brunati C, Candiani G, Riva S, Romanó G, Donadio S. 2011;Efficacy of the new lantibiotic NAI-107 in experimental infections induced by multidrug-resistant Gram-positive pathogens. Antimicrob Agents Chemother 55:1671–1676.
Kieser T, Bibb MJ, Buttner MJ, Chater KF, Hopwood DA. 2000. Practical Streptomyces genetics John Innes Foundation. Norwich, UK: p. 613.
Kim D-R, Cho G, Jeon C-W, Weller DM, Thomashow LS, Paulitz TC, Kwak Y-S. 2019a;A mutualistic interaction between Streptomyces bacteria, strawberry plants and pollinating bees. Nat Commun 10:4802.
Kim D-R, Jeon C-W, Shin J-H, Weller DM, Thomashow L, Kwak Y-S. 2019b;Function and distribution of a lantipeptide in strawberry Fusarium wilt disease-suppressive soils. Mol Plant-Microbe Interact 32:306–312.
Lee N, Hwang S, Kim J, Cho S, Palsson B, Cho B-K. 2020;Mini review: genome mining approaches for the identification of secondary metabolite biosynthetic gene clusters in Streptomyces . Comput Struct Biotechnol J 18:1548–1556.
Lindow SE, Brandl MT. 2003;Microbiology of the phyllosphere. Appl Environ Microbiol 69:1875–1883.
Maiti PK, Das S, Sahoo P, Mandal S. 2020; Streptomyces sp SM01 isolated from Indian soil produces a novel antibiotic picolinamycin effective against multi drug resistant bacterial strains. Sci Rep 10:10092.
Medema MH, Blin K, Cimermancic P, de Jager V, Zakrzewski P, Fischbach MA, Weber T, Takano E, Breitling R. 2011;antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res 39:W339–W346.
Oskay M. 2009;Antifungal and antibacterial compounds from Streptomyces strains. Afr J Biotechnol 8:3007–3017.
Redford AJ, Bowers RM, Knight R, Linhart Y, Fierer N. 2010;The ecology of the phyllosphere: geographic and phylogenetic variability in the distribution of bacteria on tree leaves. Environ Microbiol 12:2885–2893.

Article information Continued

Fig. 1

Schematic representation of deleted gene using CRISPR/Cas9 system. Left penal shows the distribution of gene functions and CRISPR/Cas9 targeted deletion sites. Group A was NRPS-PKS linked clusters, groups B and C were PKS and NRPS groups. Group D had lantipeptide and lassopeptide clusters. The cluster was characterized using antiSMASH version 4.0.0rc1 (https://antismash.secondarymetabolites.org/).

Fig. 2

Antibiotic activity and related gene clusters in SP6C4. (A) Putative antibiotic gene clusters were predicted by antiSMASH, group A (NRPS-PKS), group B (NRPS), group C (PKS), group D (lantipeptide and lassopeptide). Relative gene expression levels were analyzed by qPCR. recA served as a housekeeping gene and primer information is presented in Supplementary Table 1. Bars represent standard error. (B) Antifungal activity of knockout mutants against B. cinerea. The mutants were created by the CRISPR/Cas9 system. The mutants (10 μl on a 0.8 cm filter disk) were incubated in PDK. After 5 days, an agar block of B. cinerea (0.4 cm diameter) was inoculated at the center of the plate and incubated at 28°C for 7 days (n = 5). CK represent the SP6C4 strain treatment and the numbers on the disc indicate each mutant based on the cluster number. (C) Paenibacillus larvae and Serratia marcescens served as entomopathogens. A two-layer method was employed to evaluate antibacterial activity. SP6C4 (106 cfu/ml, 10 μl) was inoculated on PDK medium. The entomopathogens were mixed into 25 ml of pre-cooled 0.2% PDK and overlaid onto the probiotic plates (final entomopathogen concentration was 105 cfu/ml). The overlaid plates were incubated at 28°C for 5 days and the size of the inhibition zone was measured (CK, a1 to a4; 16 cluster deletion mutants, b1 to b4). Entomopathogen inhibition test data were analyzed using one-way ANOVA, P-value less than 0.05 indicates that the size of the inhibition zones from CK and 16 was significantly different.

Table 1

Putative antibiotic gene clusters in Streptomyces globisporus SP6C4 predicted by antiSMASH

Groupa Clusterb Type Most similar known cluster Similarity (%)
A 1 NRPS-T1PKS Daptomycin biosynthetic gene 7
5 NRPS-T1PKS Bottromycin A2 biosynthetic gene 27
8 NRPS-T1PKS Griseobactin biosynthetic gene 100
13 NRPS-T1PKS SGR_PTMs biosynthetic gene 100
B 2 T3PKS Collismycin A biosynthetic gene 11
24 T3PKS Enduracidin biosynthetic gene 8
30 T1PKS - -
C 18 NRPS Tetonasin biosynthetic gene 11
25 NRPS Herboxidiene biosynthetic gene 6
29 NRPS C-1027 biosynthetic gene 95
D 12 Lantipeptide Amfs biosynthetic gene 100
15 Lantipeptide Labyrinthopeptin A1/A2/A3 biosynthetic gene 40
17 Thiopeptide-Lantipeptide Siomycin biosynthetic gene 7
20 Lantipeptide - -
16 Lassopeptide SRO15-2005 biosynthetic gene 100

NRPS-T1PKS, nonribosomal peptide synthetase-type I polyketide synthase; T3PKS, type III peptide synthetase; NRPS, nonribosomal peptide synthetase.

a

Group assigned by molecular backbone of product. Note Figs. 1 and 2.

b

Cluster represents the order of biosynthesis genes.

Table 2

Bacteria and plasmids used in this study

Strains/Plasmids Description Reference
Escherichia coli
 DH5α F-, Φ80dlacZΔM15, (lacZYA-argF)U169, deoR, recA1, endA1, hsdR17 (rk-, mk+), phoA, supE44, λ-, thi-1, gyrA96, relA1 Bierman et al. (1992)
 ET12567/pUZ8002 dam-13::Tn9 dcm-6 hsdM, carries RK2 derivative with defective oriT for plasmid mobilization, Kanr Bierman et al. (1992)
Streptomyces SP6C4
 SP6C4.lanA SP6C4 ΔlanA::Aprar Kim et al. (2019b)
 SP6C4. lanB SP6C4 ΔlanB:: Aprar Kim et al. (2019b)
 SP6C4. lanC SP6C4 ΔlanC:: Aprar Kim et al. (2019b)
 SP6C4. lanL-1 SP6C4 ΔlanL-1:: Aprar Kim et al. (2019b)
 SP6C4. lanL-2 SP6C4 ΔlanL-2:: Aprar Kim et al. (2019b)
 SP6C4. lanM SP6C4 ΔlanM:: Aprar Kim et al. (2019b)
 SP6C4. tsrD SP6C4 tsrD:: Aprar Kim et al. (2019b)
 SP6C4. nrps - pks 1 SP6C4 nrps - pks 1 :: Aprar This study
 SP6C4. nrps -pks 5 SP6C4 nrps -pks 5 :: Aprar This study
 SP6C4. nrps -pks 8 SP6C4 nrps -pks 8 :: Aprar This study
 SP6C4. pks 2 SP6C4 pks 2 :: Aprar This study
 SP6C4. pks 24 SP6C4 pks 24 :: Aprar This study
 SP6C4. pks 30 SP6C4 pks 30 :: Aprar This study
 SP6C4. nrps 18 SP6C4 nrps 18 :: Aprar This study
 SP6C4. nrps 24 SP6C4 nrps 24 :: Aprar This study
 SP6C4. nrps 29 SP6C4 nrps 29 :: Aprar This study
 SP6C4. lasso 17 SP6C4 lasso 17 :: Aprar This study
Plasmid/Cosmid
 pCRISPomyces-2 Amr, oriT, reppSG5(ts), oriColE1, sSpcas9, sgRNA cassette Cobb et al. (2015)
 pBHA Amr, pUC ori, gRNA clone Bioneer, Korea
 pCRSP.nrps-pks 1 pCRISPomyces-2 + Δ nrps-pks 1 editing template, nrps-pks 1 sgRNA − sSpcas9 This study
 pCRISP.nrps-pks 5 pCRISPomyces-2 + Δ nrps-pks 5 editing template, nrps-pks 5 sgRNA − sSpcas9 This study
 pCRISP.nrps-pks 8 pCRISPomyces-2 + Δ nrps-pks 8 editing template, nrps-pks 8 sgRNA − sSpcas9 This study
 pCRISP.pks 2 pCRISPomyces-2 + Δ pks 2 editing template, pks 2 sgRNA − sSpcas9 This study
 pCRISP.pks 24 pCRISPomyces-2 + Δ pks 24 editing template, pks 24 sgRNA − sSpcas9 This study
 pCRISP.pks 30 pCRISPomyces-2 + Δ pks 30 editing template, pks 30 sgRNA − sSpcas9 This study
 pCRISP.nrps 18 pCRISPomyces-2 + Δ nrps 18 editing template, nrps 18 sgRNA − sSpcas9 This study
 pCRISP.nrps 24 pCRISPomyces-2 + Δ nrps 24 editing template, nrps 24 sgRNA − sSpcas9 This study
 pCRISP.nrps 29 pCRISPomyces-2 + Δ nrps 29 editing template, nrps 29 sgRNA − sSpcas9 This study
 pCRISP.lasso 17 pCRISPomyces-2 + Δ lasso 17 editing template, lasso 17 sgRNA − sSpcas9 This study