1. Introduction
The increasing costs and negative effects of synthetic chemicals used in crop production necessitate the adoption of biological options of crop production and protection, such as crop residues, farmyard manures, composts, and plant growth-promoting (PGP) bacteria. The use of PGP bacteria has been one of the alternative strategies for improving agricultural production, as well as soil and plant health (Subramaniam 2016). Moreover, such strategies are among the sustainable agriculture practices as they are environment-friendly and have the potential to reduce the need for synthetic chemicals (Subramaniam 2016).
PGP bacteria are found mostly in soil, compost, fresh and marine water, and play an important role in the PGP, plant protection, decomposition of organic materials, and produce secondary metabolites of commercial interest. These secondary metabolites are diverse kinds of biomolecules, such as growth hormones, antibiotics, and peptides, which are degradable and less toxic, and often specific against plant pathogens (Gopalakrishnan et al. 2020).
PGP actinomycetes such as Streptomyces and their secondary metabolites were reported widely as an excellent alternative for improving nutrient availability, enhancing root and shoot growth, nitrogen fixation, grain and stover yields, solubilisation of inorganic minerals, and protecting against plant pathogens of agriculturally important crops (Aggarwal et al. 2016; Bhattacharyya et al. 2017; Vijayabharathi et al. 2018a; Vijayabharathi et al. 2018b). The attributes may be due to the production of antibiotics, chitinase, cellulase, lipase, hydrocyanic acid, siderophore, phytohormones, β-1, 3-glucanase production, and ACC-deaminase (Gopalakrishnan et al. 2021). The PGP potential of Streptomyces strains was well documented in tomato, wheat, rice, bean, chickpea, pigeonpea, sorghum, and pea (Subramaniam Gopalakrishnan 2011; Gopalakrishnan et al. 2012; Gopalakrishnan et al. 2013; Gopalakrishnan et al. 2014; Gopalakrishnan et al. 2015a; Gopalakrishnan et al. 2015b; Subramaniam 2016; Sathya et al. 2016; Subramaniam et al. 2020; Gopalakrishnan et al. 2020; Gopalakrishnan et al. 2021; Srinivas et al. 2022; Gopalakrishnan et al. 2022; Sambangi and Gopalakrishnan 2023).
While screening selected rhizospheric isolates for entomopathogenic/insecticidal activities in vitro and under greenhouse conditions, (Vijayabharathi et al. 2014) reported one of them, namely SAI-25, as a promising candidate, given its strongest activity against lepidopteran insects such as Helicoverpa armigera, Spodoptera litura, and Chilo partellus. Based on the similarity to the 16s rRNA sequence database, this strain was assigned to Streptomyces griseoplanus (Vijayabharathi et al. 2014). On further investigation, a cyclodipeptide was identified from SAI-25, namely cyclo(Trp-Phe), which showed insecticidal properties, such as antifeedant, insecticidal, and pupicidal activity, against H. armigera (Sathya et al. 2016). Furthermore, spectral analysis of the cell-free extracellular extract of SAI-25 by FTIR confirmed the presence of alcohols, amines, phenols, and protein, which not only played the role of stabilizing agent while synthesis of silver nanoparticles, but also proved as a base for the development of Streptomyces mediated nanoparticle biopesticide due to its antifungal activity against charcoal rot pathogen, Macrophomina phaseolina (Vijayabharathi et al. 2018c).
Several such strains or isolates, which were characterized for having a few plant growth-promoting features, have been further examined for the underlying genes or pathways, which include a couple of studies by the authors on multiple isolates from Streptomyces and Amycolatopsis genera (Subramaniam et al. 2020; Gandham et al. 2024). Although the entomopathogenic, antifungal properties and identification of an insecticidal metabolite (a diketopiperazine class compound) make SAI-25 a very promising PGP bacteria, the genetic and genomic basis of the known features, as well as its potential to synthesize other secondary metabolites, remain unexplored.
The current study aimed to identify the genes and pathways underlying the PGP/biocontrol traits and to predict the secondary metabolite biosynthetic potential of SAI-25 by genome mining. To answer this question, deep sequencing of the genome sequence of this isolate was done to obtain a genome assembly of SAI-25. The genome sequence was compared with existing Streptomyces genomes to confirm its taxonomic classification. The pan-genome analysis of complete genomes of the Streptomyces genus helped in identifying the core and unique genes, as well as their functional importance. Further, the annotation of the genome assembly was mined for genes or gene clusters involved in the biosynthesis of secondary metabolites, with more emphasis on the ones that have already been reported in SAI-25.
2. Materials and Methods
The workflow followed in the current study is illustrated in
Figure 1. The details are elaborated in the subsequent sections.
2.1. Microbial Strain Used in This Study
The previously identified S. griseoplanus strain, namely, SAI-25 (GenBank accession number: KF770901), isolated from a rice rhizospheric field at Karnataka, India, demonstrated previously for its plant growth promotion (PGP) and entomopathogenic traits against Helicoverpa armigera, Spodoptera litura, and Chilo partellus (Vijayabharathi et al. 2014; Sathya et al. 2016; Vijayabharathi et al. 2018c), was used in this study.
2.2. Culture of PGP Strain and Genomic DNA Isolation
Genomic DNA of SAI-25 was isolated as per the protocols mentioned in Subramaniam et al. (2020). In brief, SAI-25 was incubated for 120 h at 28° C followed by centrifugation at 10,000g for 10 minutes at 4 °C. The pellet was washed twice with STE buffer, and re-suspended in 8.55 ml STE buffer and 950 µl lysozyme (20 mg/ml STE buffer). It was first incubated for 30 min at 30 °C, followed by adding 500 µl of SDS (10%; w/v) and 50 µl of protease (20 mg/ml), and the same was kept at 37 °C for one hour. Once the incubation was over, 1.8 ml of NaCl (5 M) was gently added, along with 1.5 ml of CTAB/NaCl solution (10% w/v CTAB in 0.7 M NaCl), followed by incubation for 20 min at 65 °C. The lysate was subsequently subjected to two sequential extractions using PCI mixture (an equal volume of phenol/chloroform/isoamyl alcohol; 25:24:1 by volume), followed by centrifugation at 13,000g for 10 minutes. The aqueous phase was extracted using chloroform/isoamyl alcohol (24:1, by volume), followed by the addition of 600 µl of propan-2-ol. The DNA was either scooped up after 10 minutes or was recovered by centrifugation at 12,000g for 10 min. The pellet was washed twice using ethanol (70%; v/v), vacuum dried, and then dissolved in 2 ml of TE buffer (10 mM Tris/HCl and 1 mM EDTA, pH 8.0). Finally, RNase A (50 mg/ml) was added, and the mixture was incubated at 37 °C for two hours. It was extracted again with phenol by following the steps mentioned above. DNA was then re-precipitated from the aqueous phase by adding 100 µl of sodium acetate (3M, pH 5.3) and 600 µl of propan-2-ol. The DNA pellet was then washed with ethanol (70%; v/v), dried, and resuspended in the TE buffer. The quality of the SAI-25 DNA was checked by agarose gel electrophoresis, and followed by its quantification using NanoDrop.
2.3. Library Preparation and Sequencing
The genomic DNA thus extracted was processed to prepare libraries for whole-genome shotgun sequencing as described in our previous work (Gandham et al. 2024). Briefly, high-quality genomic DNA of ~5 μg (devoid of any contamination and exhibiting an A260/280 ratio between ~ 1.8 - 2.0, with DNA concentration ≥ 100 ng/μl) was sent to AgriGenome Labs (Kochi, India) for library preparation and next-generation sequencing using the Illumina platform. The genomic DNA was fragmented to obtain two types of libraries: i) a paired-end library with an insert size of 300 bp; and ii) a mate-pair library with an insert size of 5 Kbp. The quality of DNA fragment libraries was validated by tapestation and subsequently sequenced on the Illumina HiSeq2500, generating ~ 9.905 million paired-end reads (100 bp × 2) and ~ 6.242 million mate pair (250 bp × 2) reads.
2.4. Genome Assembly and Annotation
The whole genome sequenced paired- and mate-pair reads (Encoding: Illumina 1.9) of the bacterial genome were cleaned (by removing adapter and primer sequences, etc.) using Trimmomatic (Bolger et al. 2014). The pre-processed paired- and mate-pair reads were
de novo assembled using SOAPdenovo V2.04 and SPADES V3.10.1 assemblers (Bankevich et al. 2012). Two assemblies were assessed and compared by using QUAST, followed by discarding the contigs having a length of <500bp and coverage <5 (Gurevich et al. 2013). The GapCloser was used to close the gaps that emerged during the scaffolding process by the
de novo assembler, using the abundant pair relationships of short reads (Luo et al. 2012). To check the contamination, resulting scaffolds were subjected to NCBI BLAST database search, and scaffolds aligning to anything other than the
Streptomyces genus were discarded. The scaffold sequences were subjected to Pathosystems Resource Integration Center (PATRIC V3.6.9) (Snyder et al. 2007) and KmerFinder-3.2 (Larsen et al. 2014) searches to find the closely related genomes. To perform reference genome-based reordering, genome sequences of
Streptomyces cavourensis strain TJ430,
Streptomyces sp. CFMR 7,
Streptomyces cavourensis strain 1AS2a, and
Streptomyces atratus SCSIO-ZH16 were obtained from the NCBI microbial genomes database, followed by scaffolding using Multidraft-Based Scaffolder (MEDUSA) (Bosi et al. 2015). The completeness of gene space was estimated using BUSCO v5.2.2 (Simão et al. 2015), where the lineage dataset selection was streptomycetales_odb10. The annotation of the assembled genome of the SAI-25 strain was performed using the RAST (Rapid Annotation using Subsystem Technology) server (
https://rast.nmpdr.org/rast.cgi) via the RASTtk pipeline (accessed in December 2024)(Brettin et al. 2015).
2.5. Phylogenetic Relationship of SAI-25
To identify its taxonomic position in the Streptomyces genus, the genome sequence of the SAI-25 strain was uploaded to the Type (Strain) Genome Server (TYGS) (accessed in February 2025)(Meier-Kolthoff and Göker 2019). TYGS identified the closest type strains by constructing two phylogenetic trees based on (i) 16S rDNA gene sequences and (ii) whole genome sequences.
To obtain the taxonomic position of SAI-25 at a higher resolution, the species closest to SAI-25 in the TYGS phylogenetic tree, along with appropriate outgroups, were selected for further examination. The proteomes of i) all the strains belonging to the closest species, with completeness ≥99%, and having scaffold or higher-level assembly, ii) the three next closest type-strains in the TYGS phylogenetic tree, and iii) Peterkaempfera griseoplana, formerly Streptomyces griseoplanus (Madhaiyan et al. 2022), were retrieved from the NCBI database (accessed in March 2025). A phylogenetic tree was constructed based on the number of overlapping orthogroups among the above strains using the OrthoFinder tool (Version 3.0.1b1)(Emms and Kelly 2019).
2.6. Pan-Genome Analysis
The proteome (.faa) of all the species belonging to the Streptomyces genus with at least chromosome-level assembly and completeness of ≥98.5% were retrieved from the NCBI database (accessed in February 2025). Additionally, two more filtering criteria were applied: (i) inclusion of only reference genomes, RefSeq-annotated genomes, and those derived from type material, and (ii) exclusion of atypical genomes and metagenomically assembled genomes (MAGs). The proteome (.faa) of 98 species, including the SAI-25 strain and 97 other Streptomyces species retrieved from the NCBI database, were used as input for OrthoFinder (Version 3.0.1b1) to identify the unique genes of each species of the pangenome and the core orthogroups (orthogroups consisting of orthologs coming from all the pangenome species).
Genes not assigned to any orthogroups, and those belonging to SAI-25-specific orthogroups, were labelled as unique genes in this study. The unique genes of the SAI-25 strain were further analyzed to get functional insights using multiple strategies: the KEGG PATHWAY database (
https://www.genome.jp/kegg/) via ‘Automatic KO assignment and KEGG mapping service’ (BlastKOALA Version 3.1) (Kanehisa et al. 2016) and ‘KEGG Mapper – Reconstruct’ (Kanehisa and Sato 2020; Kanehisa et al. 2022), InterPro search (Blum et al. 2025), and NCBI BLAST followed by Reciprocal Best BLAST (Camacho et al. 2009) if no subsystem information was available in RAST annotation.
2.7. Identification of Biosynthetic Gene Clusters (BGCs) in SAI-25 Strain
Genome-wide identification of secondary metabolite biosynthesis gene clusters (BGCs) was performed using antiSMASH 7.1.0 (Blin et al. 2023). The regions that showed very little or no similarity to any known clusters were further analyzed using the KEGG PATHWAY database (described above).
2.8. Identification of Potential Genes/Enzymes Responsible for Biosynthesis of an Insecticidal Diketopiperazine Derivative, Cyclo(Trp-Phe)
The SAI-25 strain was reported to have activity of one of the Cyclodipeptides (CDPs), Cyclo(Trp-Phe). The Cyclodipeptides are typically synthesised by two unrelated biosynthetic enzyme families: by non-ribosomal peptide synthetases (NRPSs) or by cyclodipeptide synthases (CDPSs). To identify NRPS and CDPSs members in SAI-25, the Hidden Markov Models (HMMs) profiles of NRPS’ three domains, namely, i) Adenylation(A)-domain (responsible for binding and activation of amino acids; Pfam-ID: PF00501), ii) peptidyl carrier protein(PCP)-domain or the Thiolation(T)-domain (for loading the activated amino acid onto this by A-domain; Pfam-ID: PF00550), and iii) Condensation(C)-domain (for catalysing the peptide bond formation between two T-domain bounded amino acids; Pfam-ID: PF00668); and CDPSs enzyme family (Pfam-ID: PF16715), were downloaded from the Pfam database (Mishra et al. 2017; Mistry et al. 2021; Widodo and Billerbeck 2023). The
hmmsearch (HMMER 3.3.2) (
http://hmmer.org) for all the above HMM profiles was carried out against the SAI-25 strain proteome, constraining the e-value to ≤0.01.
To predict the amino acid substrate(s) that the NRPSs would bind to, the SAI-25 proteins, showing significant hits to all three domains mentioned above, were selected. The A-domain sequences of such proteins were extracted and examined for two amino-acid substrates (tryptophan and phenylalanine) using substrate-binding specific HMM profiles from the “Non-Ribosomal Peptide Synthetase Substrate Predictor” database (
https://nrpssp.usal.es/download.php) (Prieto et al. 2012).
Alternatively, the BGCs prediction tool not only identified NRPSs but also their amino acid substrates and products. Thus, the results of antiSMASH were analyzed to look for any NRPSs whose predicted substrates were tryptophan and/or phenylalanine.
2.9. Genes/Pathways Underlying PGP Features
Seven plant growth-promoting (PGP) and biocontrol traits (Siderophore+, chitinase+, cellulase+, lipase+, protease+, indole-3-acetic acid+, and hydrocyanic acid+) were observed in SAI-25 strain through biochemical assays (
Table 1). Potential genes and pathways associated with the above-mentioned PGP and biocontrol traits were identified as described in our previous work (Gandham et al. 2024). Briefly, using the KEGG PATHWAY database, keyword searches in the RAST annotation, BLAST searches against the SAI-25 strain proteome, and pan-genome-wide BLAST searches to detect possible orthologs that the KEGG PATHWAY database may have missed.
3. Results
3.1. Features of Genome Assembly of Streptomyces sp. SAI-25
An isolate from the rice rhizospheric soil was earlier characterized for having several plant-growth-promoting and biocontrol features (
Table 1)(Vijayabharathi et al. 2014). To examine the genetic or genomic basis of PGP features and to explore its biosynthetic potential, its whole genome was deeply sequenced. A total of ~51 million paired-end and ~135 million mate-pair raw reads were generated after sequencing, which were reduced to ~49 million and ~104 million reads, respectively, after their quality check (
Table 2).
After
de novo assembly of clean reads followed by scaffolding, a single scaffold of ~7.7 million bp in length was obtained. Standard assembly statistics showed a high GC content of 72.1%, a characteristic of Actinomycetes, and a very minimal number of anonymous nucleotides (0.25%) (
Table 3).
To assess the quality of genome assembly, out of 1579 reference Benchmarking Universal Single-Copy Orthologs (BUSCOs) derived from 145 genomes belonging to order streptomycetales, 1567 (99.2%) were complete (C), two were completely duplicated (D), four were fragmented (F) and eight were missing (M) in the SAI-25 strain assembly (
Figure S1). The complete BUSCOs over 99% indicated a very high degree of completeness of the generated assembly.
The annotation of the SAI-25 genome showed that it has 6,923 coding sequence regions (88.91%) with a mean length of 990 bp. It also consisted of 74 tRNA genes with a mean length of 76 bp, three rRNA genes with a mean length of 1,595 bp, 152 repeats with a mean length of 127 bp, and 81 CRISPR spacers with a mean length of 32 bp. A total of 4,560 (65.86%) proteins were assigned functional annotation, while 2,363 (34.13%) proteins were assigned as hypothetical (Tables 3, S1;
Figure 2a).
Among the 6,923 coding sequence regions, only 1,269 (19%) were classified into subsystems, comprising 1,212 non-hypothetical proteins and 57 hypothetical proteins. Amino acids and derivatives (389) were the most predominant subsystem feature, followed by carbohydrates (285), protein metabolism (213), cofactors, vitamins, prosthetic groups, pigments (166), fatty acids, lipids, and isoprenoids (162), nucleosides and nucleotides (110), DNA metabolism (105), respiration (105), iron acquisition and metabolism (57), virulence, disease, and defense (56), RNA metabolism (56), stress response (48), membrane transport (44), cell wall and capsule (36) and others (
Figure 2b). Several genes associated with antibiotic resistance, drug targets, transporters, and virulence factors were identified (
Table 4). Antibiotic resistance genes, along with their associated antimicrobial resistance (AMR) mechanisms, were also identified (
Table 5).
3.2. Phylogenetic Relationship and Taxonomic Positioning of SAI-25:
The SAI-25 strain, on its isolation, was initially assigned to
Streptomyces griseoplanus based on the similarity of its amplified 16s rRNA sequence to database sequences (GenBank ID: KF770901) (Vijayabharathi et al. 2014). However, a recent study has reclassified this species to a novel genus in the family Streptomycetaceae, namely
Peterkaempfera (Madhaiyan et al. 2022). This necessitated a re-examination of the phylogenetic relationship of SAI-25. Comparison of the complete gene sequence of 16S rRNA extracted from the SAI-25 genome against the database of type strains indicated that it is closest to two type strains belonging to
Streptomyces cavourensis (
Figure S2). The high bootstrap value of the branch leading to the clade containing SAI-25 was high (83 out of 100), but a few other branches had lower bootstrap values (
Figure S2).
A whole-genome comparison with the genomes of type strains gave a similar relationship where the SAI-25 strain was still closely related to
Streptomyces cavourensis, with an even higher bootstrap value (89 out of 100) (
Figure 3a). Thus, the phylogenetic tree obtained from TYGS (
Figure 3a) confirms that SAI-25, instead of genus
Peterkaempfera, belongs to the genus
Streptomyces.
To resolve the taxonomic positioning, the phylogenetic tree involving strains of
Streptomyces cavourensis along with appropriate outgroups (three next closest type-strains in the TYGS phylogenetic tree, and
Peterkaempfera griseoplana (formerly
Streptomyces griseoplanus)) showed that SAI-25 was relatively more closer to a few strains of
S. cavourensis than its remaining strains, indicating that SAI-25 belongs to
cavourensis species (
Figure 3b). It is possibly a novel strain as evident by its phylogenetic position, being surrounded by the strains of
Streptomyces cavourensis with a high bootstrap value (1 out of 1)(
Figure 3b).
3.3. Core Ortho-Groups and Unique Genes of SAI-25
In addition to the establishment of phylogenetic relationships, a pan-genome analysis was conducted to examine the core and unique gene sets. Comparison of proteomes of 97 representative
Streptomyces species along with SAI-25 gave a total of 15,225 orthogroups and 11,686 unassigned genes (see methods)(
Table S2). Among the 15,225 orthogroups, 1,695 orthogroups (11.13%) were present in all the 98 species (core set), and 248 orthogroups comprising of orthologs belonging to a single species (species-specific orthogroups) (1.63%) were obtained (
Table S3). A total of 418 unique genes (second highest in the pangenome) were observed in the SAI-25 strain (
Figure 4).
When these 418 unique genes were further analysed for functional characterisation by BLAST search in ‘Non-Redundant’ database, followed by ‘Reciprocal Best BLAST’; 147 out of 418 unique genes still showed partial but significant homology with genes/proteins belonging to
Streptomyces genus, with query and subject coverage ≥50% and e-value ≤0.01. Only 4 of the remaining 271 unique genes were functionally annotated (
Table 6).
3.4. Secondary Metabolite Potential of SAI-25
A total of 32 biosynthetic gene cluster (BGC) regions were predicted using antiSMASH (
Figure 5). Of these, 13 regions exhibited ≥81% similarity to known clusters. These 13 regions were responsible for biosynthesis of three siderophores (griseobactin, coelichelin and desferrioxamine B) (Lautru et al. 2005; Patzer and Braun 2010; Bellotti and Remelli 2021); geosmin, which not only tends to give earthy smell to soil but also regulates seed germination and acts as a chemical repellent/attractant to predators (nematodes and protists) and insects (Garbeva et al. 2023); naringenin, a flavonoid which alleviates abiotic stress (osmotic and salinity stress) and also contributes to pathogen resistance in plants (Yildiztugay et al. 2020; Ozfidan-Konakci et al. 2020; An et al. 2021; Sun et al. 2022); ectoine, an osmoprotectant which alleviates cadmium-induced stress in plants (Nazarov et al. 2022; Orhan et al. 2023); AmfS, whose derivative acts as extracellular morphogen for onset of aerial-mycelium (Ueda et al. 2002); keywimysin, a lasso peptide whose biological function remains unknown (Tietz et al. 2017); bafilomycin B1, a macrolide antibiotic which inhibits vacuolar-type ATPase (V-ATPase) (Bowman et al. 1988; Papini et al. 1993); 10-epi-HSAF (along with its analogues) which shows antifungal activities against plant pathogens (Hou et al. 2020); valinomycin, a potassium ionophore which demonstrates a diverse spectrum of biological activities (antibacterial, antifungal, insecticidal, etc.) (Huang et al. 2021); montanastatin, a cancer cell growth inhibitory cyclooctadepsipeptide (Pettit et al. 1999); alkylresorcinol, a polyketide which exhibits a wide range of bioactivities (antimicrobial, anti-cancer, antilipidemic, antioxidant, etc.) (Zabolotneva et al. 2022); and isorenieratene, a natural antioxidant and photo/UV damage inhibitor (Chen et al. 2019)(
Table 7)(
Table S4).
The regions that had very little or no similarity to any known cluster were subjected to KEGG PATHWAY analysis (see methods). Out of 19 such regions, only three regions (Region 18, 20, and 21) were found to be part of the existing biosynthetic pathways for secondary metabolites. Region 18 was responsible for biosynthesis of type II polyketide backbone (
Figure S3), region 20 for terpenoid backbone biosynthesis (
Figure S4), and region 21 for D-amino acid metabolism (
Figure S5).
Complete pathways for the biosynthesis of two more metabolites were discovered while examining the SAI-25 genome/proteome for genes and pathways associated with the seven PGP and biocontrol traits (discussed in section 3.6,
Table 1): (-)-Germacrene D, an aphid repellent sesquiterpenoids (Bruce et al. 2005), and (+)-Caryolan-1-ol, an antifungal volatile (Cho et al. 2017) (
Figure S6).
3.5. Potential Genes/Enzymes Responsible for Biosynthesis of an Insecticidal Diketopiperazine Derivative, Cyclo(Trp-Phe)
Since the SAI-25 strain was earlier reported to have activity of one of the Cyclodipeptides (CDPs), Cyclo(Trp-Phe), so the SAI-25 genome was searched for the two biosynthetic enzyme families: Non-ribosomal peptide synthetases (NRPSs) and cyclodipeptide synthases (CDPSs). While no hits were observed for CDPSs enzyme family, a total of 15 proteins showed hits to all three domains of NRPSs. Out of these 15 proteins, 1 had three A-domains, 6 had two A-domains, and 8 had single A-domain. Based on the RAST annotation, 8 of the above-mentioned proteins were recognised as polyketide synthase modules and related proteins; 3 were identified as hypothetical proteins; 3 were noted as siderophore biosynthesis non-ribosomal peptide synthetase modules; and 1 was annotated as capsular polysaccharide biosynthesis fatty acid synthase, WcbR. All 15 proteins identified above were part of one or the other BGCs as per the results of the antiSMASH (
Table 8). The A-domains of all 15 proteins were predicted to have affinity for multiple amino acids (including tryptophan and phenylalanine)(
Table S5). Only one protein (ID: fig|1472664.5.peg.5776) was predicted by the antiSMASH to utilize phenylalanine and tryptophan, along with 3 more substrates (Ph-Gly, Tyr, and bOH-Tyr).
3.6. Genes/Pathway underlying PGP features
The SAI-25 strain genome was analysed to identify the pathways/genes responsible for the seven experimentally validated PGP and biocontrol traits (
Table 1).
A siderophore group nonribosomal peptides biosynthesis pathway was observed to be present in the SAI-25 strain (
Figure S7;
Table S6). Additionally, 3 BGC regions responsible for the production of siderophores (griseobactin, coelichelin, and desferrioxamine B) were also observed to be present in the SAI-25 strain (
Table 7).
Enzymes having a role in chitin metabolism, such as Chitinase (eleven copies), Chitodextrinase (one copy), beta-glycosyl hydrolase (four copies), beta-N-acetylglucosaminidase (one copy), and endochitinase (one copy) were identified in the SAI-25 strain genome (
Figure S8;
Table S7). Cellulolytic enzymes such as endoglucanase, glycoside hydrolase, cellulose 1,4-beta-cellobiosidase, and beta-glucosidase were also present in the SAI-25 strain genome (
Figure S9;
Table S8)
Several kinds of lipases and proteases, which play a major role in plant growth and protection, were identified in the SAI-25 strain genome (
Table S9;
Table S10).
The Indole-3-acetamide (IAM) pathway is one of the extensively studied pathways for the biosynthesis of Indole-3-acetic acid (IAA). In this pathway, tryptophan is converted to IAM, which is then hydrolysed to IAA. Two major enzymes are required for this pathway: tryptophan monooxygenase, which converts tryptophan to IAM, and indole-3-acetamide hydrolase for hydrolysis of IAM into IAA (Tang et al. 2023). BLAST search of tryptophan monooxygenase protein sequence against SAI-25 strain proteome showed presence of its ortholog. KEGG PATHWAY analysis identified two proteins that can convert IAM into IAA (
Figure S10;
Table S11).
Three enzymes, hydrogen cyanide synthase subunit HcnA, hydrogen cyanide synthase subunit HcnB, and hydrogen cyanide synthase subunit HcnC are required for biosynthesis of hydrocyanic acid (Laville et al. 1998). Through pan-genome-wide BLAST, one ortholog of HcnA, one ortholog of HcnB, and three orthologs of HcnC were identified (
Table S12).
4. Discussion
4.1. SAI-25’s Chromosome-Level Assembly with High Completeness Will Be A Valuable Resource for Streptomyces Genome Mining
The NCBI genome database currently has 11,237
Streptomyces genomes, out of which only 1,357 (~12%) are at chromosome level or higher assembly level (
https://www.ncbi.nlm.nih.gov/datasets/genome/; accessed on April 2025). The single linear genome of SAI-25, with completeness >99% and total gap size of <20 Kb, makes it among the good quality assemblies. For a meaningful and accurate pan-genome analysis or genome mining for BGCs, the quality of assembly plays a key role, in particular, the completeness and extent of fragmentation (Lee et al. 2020).
Even for the high-quality assembly, concerns regarding the relatively higher number of hypothetical genes were raised earlier (Lee et al. 2020), and even in this genome assembly, a slightly higher fraction of hypothetical genes were observed (34%). Among the set of unique genes, surprisingly, the majority of them were hypothetical genes, indicating the limitations of annotation pipelines when it comes to species-specific genes.
4.2. Phylogenetic Analysis Corrected the Species Name From S. Griseoplanus to S. Cavourensis:
When the SAI-25 strain was first reported for its biocontrol and PGP features, it was initially assigned to S. griseoplanus species based on the 16S rRNA sequencing (Vijayabharathi et al. 2014); the taxon has recently been re-assigned to a separate genus, namely, Peterkaempfera griseoplanus, as per the NCBI taxonomy database (Madhaiyan et al. 2022). However, the availability of whole genome sequences led to the re-examination of the taxonomic assignment, and S. cavourensis emerged as the species based on comparison with whole genomes of type strains as well as that of strains of the species that were closest to the SAI-25.
S. cavourensis strains have earlier been isolated, largely from soil, and almost all were found, either experimentally or computationally, to have potential for biosynthesis of several active compounds or secondary metabolites (Wang et al. 2018; Vargas Hoyos et al. 2019; Kaaniche et al. 2020; Creencia et al. 2021). For instance, S. cavourensis strain 1AS2a, isolated from the wheat rhizosphere in the Brazilian Neotropical savanna, has a genome size similar to SAI-25 (~7.6 Mb), with a similar number of BGCs (n=30), and also exhibited strong antimicrobial activities (Vargas Hoyos et al. 2019).
As far as biosynthetic potential of different strains of S. cavourensis are concerned, the TJ430 strain isolated from mountain soil from China had proteins related to antibiotic synthesis, and tolerance or detoxification of metals (Wang et al. 2018). Another strain, TN638, isolated from an industrial waste soil, was detected having three cyclodipeptides or diketopiperazine (DKP) derivatives, and four macrotetrolides (Kaaniche et al. 2020); both groups of compounds showed strong antibacterial activity against A. tumefaciens ATCC 23308 and S. typhimurium ATCC 14028.
4.3. Presence of Sixteen Annotated And The Same Unannotated BGCS Highlights its PGP and Industrial Potential
Large-scale genome mining of Streptomyces genomes (n=1,110) has shown that Streptomyces bacteria carry BGCs in the range of 8–83 per genome, which weakly correlated with the genome size (Belknap et al. 2020). The SAI-25 genome was predicted to have 32 BGCs, which was close to the mean for this genus.
The S. griseoplanus SAI-25 used in this study exhibited insecticidal properties such as antifeedant, insecticidal, and pupicidal activity against H. armigera. The SAI-25 was also reported to have antifungal activity against the charcoal rot of sorghum pathogen Macrophomina phaseolina (Vijayabharathi et al. 2018c). The BGC prediction in the SAI-25 genome showed the presence of several metabolites with biocontrol properties. For example, Valinomycin, a potassium ionophore, reportedly has a diverse spectrum of biological activities, such as antibacterial, antifungal, and insecticidal (Huang et al. 2021). The BGC was observed for another broad-spectrum biocontrol agent, Bafilomycin B1, a macrolide antibiotic. The Bafilomycin B1 and C1 from S. cavourensis NA4 showed significant inhibitory activities against a variety of Fusarium spp. and R. solani, while being inactive against Setosphaeria turcica (Pan et al. 2015); thus, they could be used as potential biocontrol agents for soil-borne fungal diseases of plants. Yet another antifungal metabolite, a polycyclic tetramate macrolactams (PTMs) type 10-epi-HSAF, showed modest antifungal properties (Hou et al. 2020).
Besides the BGCs for biocontrol, several others were annotated for plant-growth promotion. The SAI-25 genome has BGCs for biosynthesis of several siderophores, such as Griseobactin, Coelichelin, and Desferrioxamine B, indicating their role in mineral mobilisation. In addition to siderophore, a few metabolites having a role in abiotic stress were also found (Naringenin, Ectoine, etc.). Beyond the agriculturally important secondary metabolites, SAI-25 was predicted to have BGCs with even chemotherapeutic potential, such as Alkylresorcinol and Montanastatin. However, these two metabolites didn’t overlap with the list of 38 BGCs with known chemotherapeutic potential found in Streptomyces species (Belknap et al. 2020). Surprisingly, the most common chemotherapeutic gene cluster in Streptomyces, namely, the macrolide FD-891, was missing in SAI-25.
4.4. Limited Success in Prediction of Genes/Bgcs for Cyclo(Trp-Phe) Biosynthesis Opens the Scope for Further Characterizatio
SAI-25 strain was earlier reported to produce an insecticidal cyclodipeptide, cyclo(Trp-Phe) (Sathya et al. 2016), and the BGC prediction in the SAI-25 genome also showed the presence of a few distinct classes of cyclopeptides, such as Montanastatin, a cyclooctadepsipeptide (CODP). The computational prediction of genes/BGCs for the cyclo(Trp-Phe) could only narrow down to a few candidate genes, thus remaining incomplete. Although cyclodipeptides have been reported in other strains of this species, such as S. cavourensis TN638 (Kaaniche et al. 2020), and strains of other species, such as S. leeuwenhoekii NRRL B-24963 (Zhang et al. 2021), eight different strains of Streptomyces (Liu et al. 2018); however, the substrate diversity among the cyclodipeptides could be one of the main challenges for their characterization.
4.5. Limitations and Future Directions:
Only 4 out of the 271 unique genes identified in the SAI-25 strain could be annotated, indicating the need for a more effective annotation pipeline or software. Moreover, a huge number of hypothetical genes were also found in the genome annotation. Although the SAI-25 strain has the potential to biosynthesize various secondary metabolites with a broad range of biological functions, the extent of their production and the specific conditions that stimulate their biosynthesis require further investigation. In addition, a few of the BGCs remain unannotated including the partially annotated BGC for Cyclo(Trp-Phe). The anti-pesticidal and anti-fungal activity of SAI-25 should be further explored as an alternative pest management tool that can help in exploring its utility in sustainable agriculture.
Supplementary Materials
The following supporting information can be downloaded at the website of this paper posted on Preprints.org. The online version contains supplementary material available at: Supplememtary Figures: Figure S1. BUSCO output. Figure S2. Phylogenetic tree obtained from TYGS server based on the 16s rDNA genome sequences of SAI-25 strain and 15 closest type strains. Figure S3. Biosynthesis of type II polyketide backbone pathway (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in BGC region 18 of SAI-25 strain assembly. Figure S4. Terpenoid backbone biosynthesis pathway (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in BGC region 20 of SAI-25 strain assembly. Red boxes indicate the presence of genes/proteins in SAI-25 strain assembly but not in the BGC region 20. Figure S5. D-Amino acid metabolism pathway (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in BGC region 21 of SAI-25 strain assembly. Figure S6. Biosynthesis pathway of two sesquiterpenoids; (-)-Germacrene D and (+)-Caryolan-1-ol. Green boxes indicate the presence of genes/proteins in SAI-25 strain assembly. Figure S7. Biosynthesis of siderophore group nonribosomal peptides - Reference pathway (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in SAI-25 strain assembly. The orthologs of the proteins (indicated by red square) were identified in SAI-25 strain. Figure S8. Chitin metabolism pathway (chitin is highlighted by pink circle) (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in SAI-25 strain assembly. Figure S9. Cellulose metabolism pathway (cellulose is highlighted by pink circle) (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in SAI-25 strain assembly. Figure S10. Indole-3-acetic acid metabolism pathway (Indole-3-acetic acid/Indoleacetate is highlighted by pink circle) (generated from KEGG PATHWAY database). Green boxes indicate the presence of genes/proteins in SAI-25 strain assembly.Supllememtary Tables: Table S1. Genome annotation of Streptomyces sp. SAI-25 using RAST server. Table S2. Details of the 97 species utilised for pan-genome analysis (obtained through NCBI database). Table S3. List of orthogroups identified after pan-genome analysis of 98 genomes of Streptomyces genus including SAI-25. First row contains the species names/IDs and first column contain the orthogroup names. Table S4: BGC regions and their corresponding products predicted by antiSMASH. Table S5: Substrate (amino acid) prediction of A-domains belonging to the detected NRPSs of SAI-25 strain. The rows showing phenylalanine as substrate are highlighted in yellow and the rows showing tryptophan as substrates are highlighted in orange. Table S6. Details of the genes/proteins of SAI-25 strain involved in PGP trait- Siderophore biosynthesis. Table S7. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Chitinase. Table S8. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Cellulase. Table S9. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Lipase. Table S10. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Protease. Table S11. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Indole Acetic Acid. Table S12. Details of the genes/proteins of SAI-25 strain involved in the PGP/Biocontrol trait- Hydrocyanic acid
Author Contributions
Conceptualization, RS, AR, VT and SG; Formal analysis, SN, PG and VT; Methodology, SN, PG, SV, PR, VT and SG; Supervision, AR, VT and SG; Visualization, SN and PG; Writing – original draft, SN, PG and VT; Writing – review & editing, SN, SG and VT. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no formal external funding.
Data Availability Statement
The raw reads of whole genome sequencing of microbial strain and its annotation can be accessed from NCBI using Bioproject ID- PRJNA1248749.
Acknowledgments
SN gratefully acknowledges the partial financial support (stipend) provided by the University of Hyderabad–Institution of Eminence (UoH-IoE) grant. VT acknowledges the partial financial support for sequencing work received through the DBT-Ramalingaswami Re-Entry Fellowship. We also acknowledge the Department of Biotechnology–BUILDER program for financial support in the procurement of consumables, and the CMSD High-Performance Computing facility, UoH, for assistance with data analysis. We extend our sincere thanks to Angeo Saji for his valuable suggestions on data analysis.
Declarations
Competing interests
The authors declare no competing interests.
Clinical trial number
Not applicable.
Permission to publish
Each author made a contribution to the collection and analysis of the data. The final version of the text has been reviewed and approved by all authors, who have given their agreement for publication.
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