Abstract
Six novel actinobacterial strains (BH034T, BH055, BH097, BH104, BH105 and BH106T) were isolated from developing brood in nests of the solitary bee species Anthophora bomboides from Bodega Bay, California, USA. Phylogenetic analysis based on a five-gene multilocus sequence alignment and whole-genome data positions all six strains within the genus Streptomyces, with close relation to Streptomyces endophyticus YIM 65594T and Streptomyces fractus MV32T. Through genetic and chemotaxonomic analysis, five of the isolates (BH034T, BH055, BH097, BH104 and BH105) were found to be a clade representing one species [>96% average nucleotide identity (ANI)], whereas BH106T was a distinct species (<93% ANI with each of the other isolate genomes). Within this species (BH034T-BH105), the genomes comprised on average 9.6 Mb (±0.4 Mb), encoded 8,640 (±349) predicted genes and had a G+C content of 70.9 (±0.07) mol%. The type strain, BH034T, contained iso-C16 : 0, anteiso-C15 : 0 and iso-C15 : 0 as major fatty acids and contained ll-diaminopimelic acid in the cell wall. The remaining strain, BH106T, represents a distinct species; its genome comprised 9.4 Mb, encoded 8,426 predicted genes and had a G+C content of 70.7 mol%; the major fatty acids were anteiso-C15 : 0, anteiso-C17 : 0, iso-C17 : 0 and iso-C15 : 0, and the cell wall also contained ll-diaminopimelic acid. Functional genomic analysis revealed multiple secondary metabolite gene clusters in the bee-associated Streptomyces strains, several of which were found to be absent in closely related Streptomyces species. Based on genotypic, phenotypic and chemotaxonomic analyses, strains BH034-BH105 and BH106 represent two novel species within the genus Streptomyces, for which the names Streptomyces anthophorae sp. nov. (type strain BH034T=NRRL B-65741T=DSM 119658T) and Streptomyces nidicola sp. nov. (type strain BH106T=NRRL B-65742T=DSM 119659T) are proposed.
Keywords: actinobacteria, insect, Streptomyces, symbiosis
Introduction
The genus Streptomyces (Actinomycetota) encompasses a diverse, ecologically complex and economically important group of bacteria [1,3]. Streptomyces are best recognized for their production of a multitude of bioactive natural products, including compounds with antibiotic, antifungal, anticancer, antiparasitic and immunosuppressive properties [4]. Streptomyces-derived antibiotics were among the first to be discovered (e.g. streptomycin), and many are still widely used to treat a variety of infections in humans as well as in crops and domesticated animals [3,5].
This plethora of secondary metabolites correlates with the genetic and ecological versatility and diversity within the genus Streptomyces. Members typically have large genomes, 6–12 Mb, as compared to ~5 Mb for the average bacteria [1,6]. These large genomes almost always include a number of biosynthetic gene clusters (BGCs), which are sets of genes that make the enzymatic ‘machinery’ to produce secondary metabolites [5]. These metabolites can have beneficial functions, such as eliminating competing microbes, scavenging iron, manipulating a host, attracting organisms for spore dispersal or signalling to other members of the same or other species [7]. The BGCs and the secondary metabolites they produce can vary considerably between species, and for many of these metabolites, the ecological roles are yet unknown [1].
Streptomyces typically grow as multicellular vegetative hyphae (filamentous) with highly coordinated metabolism, phenology and responses to the environment. They are generally nonmotile and produce spores for dispersal to new habitats. While they are highly prevalent and abundant in soil, Streptomyces can also be symbionts of multicellular eukaryotes, especially plants and invertebrates [8,10]. Specifically, certain insects, including beewolf wasps, bark beetles and ants, are associated with Streptomyces bacteria that produce bioactive secondary metabolites and may aid in the defence of the insects’ progeny or nutritional resources against pathogens [11,13].
In previous work, we isolated four Streptomyces strains from samples of the solitary bee Anthophora bomboides during development in the brood cell [14]. Based on amplicon sequencing, the genus Streptomyces was determined to be a core taxon within the developing brood cell of A. bomboides, and its abundance increased dramatically during the host overwintering period, when bee immunity is suppressed and fungal infections are most prevalent. Isolated strains were found to inhibit fungal growth to various degrees and were abundant in bee brood cell habitats, prompting further investigation. The strains isolated and sequenced in this study match two of the three most common bee-associated Streptomyces amplicon sequencing variants (ASVs) that were found in over half of the brood cells [14]. Additionally, the strains sequenced here were isolated from different brood cells, in three different developmental stages and seasons, and during three different years (Table 1), yet five of the six represent strains of the same species. Although it is possible that the bees are acquiring these ASVs from environmental sources that we did not previously sample, the combination of consistent Streptomyces presence, low overlap of ASVs between brood cells and environment, high prevalence of ASVs matching the sequence of the isolates and consistent re-isolation of Streptomyces anthophorae sp. nov. from the brood cells over time suggests a symbiotic association of these bacteria with A. bomboides.
Table 1. Strain sample collection metadata.
The table shows each strain, the proposed species characterization, the source from which the strain was isolated (all various developmental stages of A. bomboides) and the date on which the sample was collected. All strains were isolated from different brood cells. Superscript T indicates type strains of each proposed species.
| Strain | Proposed species | Source | Collection date |
|---|---|---|---|
| BH034T | S. anthophorae sp. nov. | Early pollen provision | 4 June 2021 |
| BH055 | S. anthophorae sp. nov. | Egg stage pollen provision | 9 June 2021 |
| BH097 | S. anthophorae sp. nov. | Overwintering prepupa | 25 October 2022 |
| BH104 | S. anthophorae sp. nov. | Overwintering prepupa | 25 October 2022 |
| BH105 | S. anthophorae sp. nov. | Pupa | 12 May 2023 |
| BH106T | Streptomyces nidicola sp. nov. | Pupa | 12 May 2023 |
Here, we report on the genomes of the four previously cultivated and two additional Streptomyces strains, each of which was isolated from distinct brood cells containing larval provisions, prepupae or pupae of A. bomboides. Based on our findings, we describe two new species, S. anthophorae sp. nov. and Streptomyces nidicola sp. nov., and provide their genomic sequences in comparison to their closest relatives.
Methods
Isolation and cultivation
Samples of the solitary bee A. bomboides were collected from Bodega Head Marine Reserve (SCSP permit issued 24 February 2020, 38.304273081815936, –123.06436189200674). Six isolates were obtained from various stages of A. bomboides’ life cycle (Table 1). These brood cells were collected and then Streptomyces were isolated from samples via repeated streak plating on tryptic soy agar (TSA) with cycloheximide (grown at 28 °C for 5–7 days). These isolates underwent preliminary identification via 16S rRNA gene Sanger sequencing as described in [14]. Once single-colony isolates were obtained, these were cryopreserved as glycerol stocks at −70 °C.
Phenotypic characterization
Morphology
To determine morphological characteristics, each strain was plated from freezer stock onto multiple media types [TSA, maltose yeast media (MYM) and oatmeal agar (OA); see Table S1, available in the online Supplementary Material] and inoculated into liquid media [supplemented Grace’s media (SGM), Gibco] and then observed every other day for 7 days, noting colony colour, changes in media colour (diffusible pigments), colony shape, colour and surface texture. Colours were described according to the ISCC-NBS colour standard [15]. A dissection microscope was used to examine whether the strain produced spores on each media type. From liquid media, 10 µl was spotted onto a glass slide every other day for 7 days to determine morphological changes in growth, especially fragmentation of the filaments, as this trait was observed to differ between close relatives Streptomyces fractus and Streptomyces endophyticus [16,17].
Salt tolerance
Salt tolerance has been observed in related species S. fractus and was thus tested for all available strains [17]. To test salt tolerance, SGM was modified with various concentrations of sodium chloride (NaCl) at 0%, 5%, 10% and 15% w/v. Isolates were grown on TSA plates, and one colony (1 µl loop) was added to 5 ml of each media. Growth was determined after 5 days by increased OD after resuspension via agitation, as compared to the control (media without inoculation).
Temperature range
Each isolate was plated on TSA plates from freezer glycerol stocks; these were kept at 5 °C in a refrigerator and 25, 28, 37, 40 and 42 °C in incubators. Plates were monitored for growth every other day. Only type strains were tested at 5 and 42 °C.
Geosmin production
Geosmin production is a common trait for Streptomyces species and is what gives soil its ‘earthy’ smell [18]. After initial observations that BH106T was less distinctly ‘earthy’ smelling than the other new isolates, geosmin production was inferred for each strain. The isolates were plated on TSA and allowed to grow for 5 days wrapped in parafilm; then, each plate was opened and the presence of geosmin was inferred by scent. This was repeated twice. Capacity for geosmin production was confirmed for all isolates via genome analysis (Table S3).
Substrate utilization
To determine the range of substrates each species could use, we purchased Biolog GEN III Microplates to determine the growth of the isolates on 71 different substrates. The type strain of each proposed species (BH034T and BH106T) and the related S. fractus MV32T and Streptomyces kunmingensis DSM 41681T were grown on TSA plates for 5 days at 28 °C, at which time colonies were picked, broken up with a sterile pipette tip in a sterile tube, vortexed in 500 µl of sterile 1% NaCl solution and left for 60 min for larger pieces to settle out of solution. The upper suspension was then added to an additional 1% NaCl solution to an initial OD600 between 0.005 and 0.007. These were kept at 28 °C for 5 days, at which time each well was assessed for growth using an inverted microscope. This procedure was completed twice for each strain.
Chemotaxonomy
The type strain for each proposed species (BH034T and BH106T) was grown on TSA for 3 days at 28 °C. Biomass was scraped gently from the surface of the media, washed in sterile molecular grade water and resuspended in isopropanol for submission. Analyses for cellular fatty acids and the isomer of 2,6-diaminopimelic acid were carried out by DSMZ Services, Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH, Braunschweig, Germany, following the protocols of [19,21].
Genome sequencing and analysis
DNA was extracted from isolated strains using the Qiagen PowerSoil Pro kit; then, DNA concentration was assessed via NanoDrop. Sanger sequencing of the 16S rRNA gene using universal bacterial primers (27F/1492R) confirmed that the strains belong to Streptomyces using NCBI blast (16S ribosomal RNA sequence database) [22,23]. The genomes were sequenced using Pacific Bioscience (PacBio, Sequel 2 using 8M chips) long-read sequencing at the Integrated Microbiome Resource of Dalhousie University [24] and assembled with Flye (v2.9.3) [25]. The quality and completeness were calculated with CheckM (v1.2.2), which determined completeness of >99% for five genomes, and over 98.5% for one genome [26]. All bee isolate genomes had very low contamination, max 1.29% as determined by CheckM. Coverage ranged from 29× (BH097) to 419× (BH105) (mean=223× and median=205×). The genome sizes ranged from 8.75 Mb (BH104) to 9.67 Mb (BH097) with G+C content ranging from 70.7 to 71.0%. For details, see Table 2.
Table 2. Genome sequencing assembly results and quality.
The table shows each strain, the proposed species characterization, genome size in Mb, the G+C content (mol%), completeness (%) and contamination (%) as determined by CheckM, number of predicted genes, coding density as a proportion, the average fold coverage of the genome, number of contigs, N50 of assembly scaffolds in Mb, number of tRNAs, number of copies of rRNA, the Whole Genome Shotgun (WGS) accession and BioSample of the genomes on NCBI and, for each type strain, the collection ID for USDA ARS and DSMZ culture collections.
| Proposed species | S. anthophorae sp. nov. | S. nidicola sp. nov. | ||||
|---|---|---|---|---|---|---|
| Strain | BH034T | BH055 | BH097 | BH104 | BH105 | BH106T |
| Genome size (Mb) | 9.62 | 9.66 | 9.67 | 8.76 | 9.67 | 9.46 |
| G+C content (mol%) | 71 | 70.9 | 71 | 70.9 | 70.9 | 70.7 |
| Completeness (%) | 99.89 | 99.46 | 99.46 | 99.89 | 99.46 | 98.61 |
| Contamination (%) | 1.29 | 1.29 | 0.43 | 1.29 | 1.29 | 0.43 |
| Predicted genes | 8,716 | 8,797 | 8,774 | 8,026 | 8,891 | 8,426 |
| Coding density | 0.894 | 0.892 | 0.893 | 0.893 | 0.894 | 0.895 |
| Fold coverage avg. | 80 | 196 | 29 | 214 | 419 | 400 |
| Contigs | 3 | 3 | 6 | 6 | 4 | 2 |
| N50 scaffolds (Mb) | 9.38 | 9.42 | 9.4 | 6.14 | 9.56 | 9.43 |
| tRNAs | 65 | 65 | 67 | 68 | 65 | 65 |
| rRNA copies | 7 | 7 | 7 | 7 | 7 | 7 |
| WGS accession | JBLWQQ000000000 | JBLWIQ010000000 | JBNBPK000000000 | JBMHXW000000000 | JBNBPJ000000000 | JBNBPI000000000 |
| BioSample genome | SAMN47132431 | SAMN46926878 | SAMN47438835 | SAMN47438836 | SAMN47438837 | SAMN47438838 |
| 16S rRNA accession | PP576370 | PP576373 | PP576371 | PP576372 | PV476755 | PV476756 |
| Collection ID USDA ARS | NRRL B-65741 | NRRL B-65742 | ||||
| Collection ID DSMZ | DSM 119658 | DSM 119659 | ||||
Similarity to known strains was determined in several ways. The full 16S rRNA gene was extracted from the genomes (as annotated by Prokka), and NCBI blast was then used to determine closest potential relatives [22,27]. This determined that S. fractus isolated from the termite gut (Amitermes hastatus) was a close relative, but the species did not yet have a genome sequence [17]. We therefore ordered the strain (MV32T) from the USDA ARS Culture Collection and sequenced it using Oxford Nanopore Technology at the Max Planck Institute for Chemical Ecology. Sequencing was done on a MinION Mk1B device using a R10.4.1 flow cell, producing 11 Gb of data. Super high-accuracy basecalling of the raw reads was performed with Guppy v6.0.1 (Nanopore Technologies), and the S. fractus MV32T genome was assembled with Flye (v2.9.2) [25], setting the minimum overlap as 10 kb and using the ‘--meta’ option. Subsequently, four rounds of polishing with Racon (v1.3.3) [28] were performed starting from the Flye assembly. After each polishing round, reads were re-aligned to the resulting assembly with minimap2 (v2.17) [29]. A final round of polishing was performed using Medaka (v1.2.0) [30]. The final genome assembly had a mean coverage of 1,100. Quality and completeness of the S. fractus MV32T genome were calculated as above; the genome is 99.89% complete, with 1.65% contamination (NCBI accession number: JBMYHI000000000).
Digital DNA–DNA hybridization (dDDH) was used to estimate the genetic relatedness between bacterial genomes based on the digital analysis of genomic sequences. It serves as a digital approximation of the traditional DNA–DNA hybridization method, which is used to determine genomic similarity and to classify bacterial species, with d0 <70% indicating species separation [31]. The DSMZ type strain genome server was used for dDDH with their continuously updated library of known genomes to determine genome overlap/relatedness among the strains and other previously sequenced Streptomyces [32,33]. It uses dDDH to compare the genomes for relatedness and generated a whole-genome phylogeny using D5 distance formula and ‘GreedyWithTrimming’ distance algorithm, while the 16S rRNA gene phylogeny used the ‘CharacterCoverage’ distance algorithm [32]. Determination of closest type strain genomes was done in two complementary ways: First, all uploaded genomes were compared against all type strain genomes available in the TYGS database via the MASH algorithm, a fast approximation of intergenomic relatedness, and the ten type strains with the smallest MASH distances chosen per user genome [34]. Second, an additional set of ten closely related type strains was determined via the 16S rRNA gene sequences. These were extracted from the user genomes using RNAmmer, and each sequence was subsequently BLASTed against the 16S rRNA gene sequence of each of the 21,293 type strains available in the TYGS database on 10 June 2024 [35]. This was used as a proxy to find the best 50 matching type strains (according to the bit score) for each uploaded genome and to subsequently calculate precise distances using the Genome blast Distance Phylogeny (GBDP) approach under the algorithm ‘coverage’ and distance formula d5. These distances were finally used to determine the 10 closest type strain genomes for each of the uploaded genomes.
Pairwise comparison of genome sequences
For the phylogenomic inference, all pairwise comparisons among the set of genomes were conducted using GBDP and accurate intergenomic distances were inferred under the algorithm ‘trimming’ and distance formula d5 [36]. One hundred distance replicates were calculated for each comparison. dDDH values and confidence intervals were calculated using the recommended settings of the GGDC 4.0.
Phylogenetic inference
The resulting intergenomic distances were used to infer a balanced minimum evolution tree with branch support via FastME 2.1.6.1 including SPR postprocessing [37]. Branch support was inferred from 100 pseudo-bootstrap replicates each. The trees were rooted at the midpoint and visualized with PhyD3 [38]. The type-based species clustering used a 70% dDDH radius around each of the 54 type strains [32]. The resulting groups are shown in Fig. 1a.
Fig. 1. Phylogenetic position of the bee-associated species S. anthophorae sp. nov. and S. nidicola sp. nov. within the genus Streptomyces. (a) Genome tree created on DSMZ server, inferred with FastME 2.1.6.1 from GBDP distances calculated from genome sequences. The branch lengths are scaled in terms of GBDP distance formula d5, scale at top left. The numbers at nodes are GBDP pseudo-bootstrap support values >70% from 100 replications. New species are represented by coloured boxes and show distinction for the two new proposed species. Tree formatted in iTOL [67]. (b) Five-gene multilocus sequence alignment was performed using genes commonly used for phylogeny in existing Streptomyces literature (atpD, gyrB, recA, rpoB and trpB), alignment performed on MAFFT with MAFFT-L-INS-i. Conserved sites (2,278) were then used to construct a neighbour-joining tree using the Jukes–Cantor model. The numbers at nodes indicate bootstrap support values >60% from 1,000 replications. Green rectangle (top) outlines the clade of five isolates representing S. anthophorae sp. nov. with the two clusters labelled as clade 1 and clade 2. The red rectangle (centre) indicates the isolate representing S. nidicola sp. nov. Branch length indicates base changes per 100 bases, scale bar in bottom left.
Average nucleotide identity
Average nucleotide identity (ANI) is a widely used metric for estimating the genetic similarity between bacterial genomes. It provides a quantitative measure of the ANI shared between the aligned regions of two genomic sequences and is commonly used in microbial taxonomy and genomics to distinguish species [39]. We utilized fastANI (v1.34) to determine ANI among the isolates and with other known genomes, using a cutoff of 95% to determine species-level relatedness [39].
Annotation
The genomes of the Streptomyces isolates were annotated with Prokka v1.14.6 [27]. Prokka was executed on the UC Davis FARM high-performance computing cluster, with default settings, the kingdom argument was set to ‘Bacteria’ and the genus argument set to ‘Streptomyces’, to optimize processing time. Prokka employs Prodigal for predicting protein-coding sequences, RNAmmer and Aragorn for identifying rRNA and tRNA genes and HMMER for small non-coding RNA detection [35,40,42]. Functional annotations utilize homology searches against UniProt and RefSeq databases [43,45]. Additionally, functional domains are annotated by searching against the Pfam database using HMMER [46]. From Prokka output, the Ghost Koala server was used to assign KO numbers to the amino acid sequences, and these were fed to KEGG Mapper to group genes into modules and pathways [47,48]. This annotation was also used for extracting multilocus sequence alignment (MLSA) gene sequences.
The genomes were analysed for BGCs using antiSMASH web server (antibiotics and Secondary Metabolite Analysis SHell, v7.0), a specialized software tool designed for the identification and annotation of secondary metabolite BGCs [49]. The analysis was conducted using the default settings of antiSMASH, which was configured to include all cluster types. AntiSMASH employs a combination of rule-based heuristics and profile hidden Markov models to predict and annotate BGCs, as well as algorithms to identify putative novel gene clusters by comparing them with known clusters in the Minimum Information about a Biosynthetic Gene cluster (MIBiG) repository [50].
The output from antiSMASH included a comprehensive list of predicted BGCs with annotations, including cluster types, core biosynthetic genes and additional tailoring and transport genes. The results were manually curated and visualized using the antiSMASH interactive HTML output, followed by export and integration with results from related genomes.
Multilocus sequence alignment
A five-gene MLSA was performed using genes commonly used for phylogeny in existing Streptomyces literature (atpD, gyrB, recA, rpoB and trpB) [51,52]. The five genes were extracted from the Prokka annotation files of each isolate and reference genome and concatenated. Multiple sequence alignments were performed using Multiple Alignment using Fast Fourier Transform (MAFFT, v7.0) online server to align the concatenated sequences [53]. The alignment parameters were configured to include the default settings unless otherwise specified. The ‘Auto’ strategy was initially used to allow MAFFT to select the appropriate algorithm based on sequence length and similarity and picked MAFFT-l-INS-i (most accurate). Following alignment, a phylogenetic tree was constructed using conserved sites (2,278) with the neighbour-joining (NJ) method within MAFFT. MAFFT computed the distance matrix using the Jukes–Cantor (JC69) model and resampling level of 1,000 for bootstrap values.
Results
Genome sequencing and analysis showed that the six new bee-isolated strains represent two novel Streptomyces species. This is based on whole-genome comparison methods (dDDH, ANI) as well as MLSA and subsequent phylogenetic analyses, combined with comparative morphology and physiology [54].
Genome comparisons
Phylogeny
The separation of the new bee isolates into two novel species is supported by the whole-genome GBDP tree and the five-gene MLSA NJ tree (atpD, gyrB, recA, rpoB and trpB), which both group BH034-BH105 into one clade, with BH106T, S. fractus MV32T and S. endophyticus YIM 65594T as closest neighbours (Fig. 1). The two trees are discordant in specific arrangement of BH106T, S. fractus MV32T and S. endophyticus YIM 65594T; the genome tree has them together in a clade sister to BH034-BH105, with BH106T more closely related to S. endophyticus YIM 65594T (Fig. 1a), whereas the MLSA separates them, with S. fractus MV32T being sister to BH034 -BH104, S. endophyticus YIM 65594T and BH106T branching off earlier (Fig. 1b). In both cases, however, the five isolates representing S. anthophorae sp. nov. (BH034-BH105) form a monophyletic clade, with two subclades (BH034T/BH097 and BH055/BH104/BH105).
Whole-genome comparisons
dDDH was used to estimate the genetic relatedness between bacterial genomes, with d0 <70% indicating species separation [31]. ANI was also used to distinguish species, with a cutoff of 95% for species separation [55].
dDDH showed that the new strains have d0 <70% to any named species with a genome sequence available in the DSMZ database (Table S2) [33]. The closest dDDH matches were S. endophyticus YIM 65594T which had a d0 of 67.7% with BH106T and S. fractus MV32T which had a d0 of 55.9% with BH034T (Table S2) [16,17]. Additionally, the ANIs between these strains and other named species were less than the accepted species boundary of 95% ANI, as the closest named species genome was S. endophyticus YIM 65594T with an ANI of 93.4% with BH106T and S. fractus MV32T with an ANI of 92.8%, also with BH106T, while all of the other new strains were below 93% ANI with any species with previously sequenced genomes.
When comparing dDDH and ANI among the new strains, we find that two distinct species are present, with BH034T, BH055, BH097, BH104 and BH105 clustering together in one clade (>96% ANI), whereas BH106T has <93% ANI with each of the other five genomes (Fig. 2). dDDH was also supportive of these two species, as within-clade d0 >70% (aside from BH104 which had d0 of 69% with BH034T and BH097), but comparing BH106T to the other new strains showed d0 between 60 and 66% (Table S2). At an even finer scale, the first species can be subdivided into two subspecies clades, with BH034T and BH097 being nearly identical (ANI 99.9%, d0 99.8) and BH055, BH104 and BH105 having over 99% ANI and d0 of 80–90.9 with one another.
Fig. 2. ANI between strains of S. anthophorae sp. nov., S. nidicola sp. nov. and closest relatives. Whole-genome ANI comparisons between strains of S. anthophorae and S. nidicola and the two most closely related previously described species (S. endophyticus YIM 65594T and S. fractus MV32T). ANI was calculated using fastANI (v1.34). Numbers represent the ANI value of the genome in the row as compared to the column. The colour of boxes with ANI values is on a gradient from yellow (lower) to dark green (higher) ANI. The cutoff for species level is 95% ANI.
BGC comparisons
AntiSMASH was used to detect and identify BGCs in the genomes of these new isolates in comparison to those of close relatives (Fig. 3, Table S3) [49]. Given an annotated genome (Prokka), antiSMASH searches and annotates BGCs based on known arrangements and gene associations, as well as certain domain traits and comparison to characterized BGCs. This allows for the prediction of the type of metabolites the cluster may produce and provides a similarity score between each predicted cluster and its closest known cluster. The related Streptomyces genomes which were used for reference and comparison were S. fractus MV32T, S. endophyticus YIM 65594T, S. kunmingensis DSM 41681T and one undescribed Streptomyces isolate from compost (NBC00311), which was identified as potentially related via 16S SSU blast and ANI.
Fig. 3. Overall composition of Biosynthetic Gene Clusters (BGCs) of S. anthophorae sp. nov., S. nidicola sp. nov. and closest relatives. (a) Principal Component Analysis (PCA) plot of BGC composition, showing distinction of BGC composition based both on species and on subclade. Analysis was limited to differentially present BGCs. Colour represents actual or proposed species, labels indicate clade within S. anthophorae sp. nov. BH034T and BH097 are identical in BGC composition and thus the points are directly overlapping. PCA made with prcomp() in R ‘stats’ package (scale=T). (b) Venn diagram showing total differentiating and shared BGCs between bee isolates and close relatives (S. anthophorae sp. nov., two clades, S. nidicola sp. nov., S. endophyticus and S. fractus). Total number of BGCs in each species or group indicated in parentheses under name. S. anthophorae sp. nov. as a species (clades 1 and 2) has the most unique BGCs at 13* (circled in green) when compared to S. endophyticus YIM 65594T and S. fractus MV32T. Clade 1 represents BH034T and BH097, clade 2 represents BH055, BH104 and BH105. Unique BGCs were not necessarily found in all strains within the clade. There are no BGCs that specifically distinguish all bee isolates from the other closest species (circled in yellow). *One of these 13 overlaps with a BGC found in S. kunmingensis DSM 41681T (not shown), leaving 12 unique BGCs when compared to the three closest relatives (see Table S3). Made with InteractiVenn [68].
S. anthophorae sp. nov. strains (BH034T, BH055, BH097, BH104 and BH105) had between 21 and 24 BGCs in their genomes, while S. nidicola sp. nov. (BH106T) had 16 BGCs. S. fractus MV32T also had 16 BGCs (15 of the 16 were the same as in BH106T); S. endophyticus YIM 65594T had 19 BGCs (Fig. 3, Table S3). The BGC composition clusters by clade within S. anthophorae sp. nov. and S. fractus MV32T closely resembles S. nidicola in composition (Fig. 3a); no unique BGCs were found in the genome of S. nidicola sp. nov. (BH106T). However, the S. anthophorae strains, taken together, contained 12 unique BGCs not found in their close relatives (S. fractus MV32T, S. endophyticus YIM 65594T and S. kunmingensis DSM 41681T). Of these 12 unique BGCs, 10 have less than 50% similarity to any known cluster, and 8 have less than 25% similarity with any known cluster (Table S3). The unique BGCs span several BGC types – as characterized by antiSMASH, these were one butyrolactone, one lanthipeptide, three non-ribosomal peptide synthase (NRPS) or NRPS-like, one redox-cofactor, one regioselectivity recognizing element-containing, two type 2 polyketide synthase (T2 PKS), one type 3 polyketide synthase (T3 PKS), one terpene and one thioamitide class. Three of the 12 were found uniformly in all of the S. anthophorae sp. nov. strains, while the others, in most cases, belonged to one of the two subclades specifically. Seven BGCs were unique to clade 2 (BH055/BH104/BH105), but only three of these were found in all three of the strains; the others were uniquely present in only one or two of the three strains in the clade (Table S3). Two BGCs were unique to S. anthophorae clade 1 (BH034T/BH097), which were identical in BGC composition (Fig. 3b).
Phenotypic differences
Morphology
S. anthophorae sp. nov.
On TSA solid media, colonies are irregular in shape and have lobate edges (Fig. 4a). The surface ranges between tightly wrinkled at the centre and flat with some wrinkles at the edge. Colonies are opaque, with a matte surface and viscoelastic texture, which tends to form a glob when picking colonies. Colonies are yellowish white to pale yellowish pink and secrete light to moderate yellowish brown diffusible pigments (Table 3). Odour is classic of geosmin production, earthy and intense. Sporulation was not observed on TSA but was observed on OA and MYM.
Fig. 4. Colony appearance of newly described Streptomyces species. (a) S. anthophorae sp. nov. BH034T and (b) S. nidicola sp. nov. BH106T on TSA media after 4 days of growth (prior to pigment release) at 28 °C. Images taken at 30× on dissection microscope with a black background to enhance contrast.
Table 3. Physiological characterization of bee-associated Streptomyces isolates representing new species and close relatives.
Rows represent each strain or species and selected differential characteristics; +, positive; +/−, weak; −, not observed; nd, no data. All data collected for this publication unless indicated with citation. See Methods for details.
| Strain or species | Diffusible pigment (TSA) | Growth at (°C) | Growth with NaCl | Spore formation | pH | Frag. in liquid TSB | Geosmin production (TSA) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | 25 | 28 | 37 | 40 | 42 | 5% | 10% | 15% | TSA | OA | MA | 4.0 | 5.0 | 7.0 | 9.0 | 10.0 | ||||
| BH034T (S. anthophorae sp. nov.) |
+/−* | +/− | + | + | + | + | + | + | + | − | − | + | − | − | +/− | + | + | +/− | + | + |
| BH055 (S. anthophorae sp. nov.) |
+ | nd | + | + | + | + | nd | + | + | − | − | + | + | nd | nd | nd | nd | nd | + | + |
| BH097 (S. anthophorae sp. nov.) |
+ | nd | + | + | + | + | nd | + | + | − | − | + | − | nd | nd | nd | nd | nd | + | + |
| BH104 (S. anthophorae sp. nov.) |
+ | nd | + | + | + | + | nd | + | + | − | − | + | − | nd | nd | nd | nd | nd | + | + |
| BH105 (S. anthophorae sp. nov.) |
+ | nd | + | + | + | + | nd | + | + | − | − | +/− | nd | nd | nd | nd | nd | nd | + | + |
| BH106T (S. nidicola sp. nov.) |
+ | +/- | + | + | + | + | + | + | + | − | − | − | − | − | − | + | +/− | − | + | +/− |
| S. fractus MV32T | − | − | + | + | + | + | + | + | + | − | − | − | − | − | − | + | +/− | − | + | + |
|
S. endophyticus YIM 65594T |
− [16] |
− [16] |
+ [16] |
+ [16] |
+ [16] |
− [16] |
nd | + [17] |
+/− [17] | nd | nd | nd | nd | − | − [16] |
+ | + [16] |
nd | − [17] |
nd |
| S. kunmingensis DSM 41681T | − | − | + | + | + | + | − | +/− [17] | +/− [17] | − | − | + | + | − | + | + | +/− | +/− | − | + |
|
S. variegatus B-16380 |
−† | − | + | + | − | nd | nd | nd | − | nd | − | + | + | nd | nd | nd | nd | nd | − | + |
Visible red and green pigments on OA media, but they do not diffuse into the surrounding agar.
Once made yellow exudate on colony surface in response to fungi.
On MYM solid media, colonies are entire with slightly ciliate edges. Dense colonies grow together to form irregular edges that curl back up and over the colonies, away from the media. The surface is yellowish white, somewhat matte, bumpy and complex with peeling back of edges. Within several days to a week, the surface becomes a matte white with sporulation. Colonies are firm and able to be scraped from the agar surface, with some breakage.
In liquid SGM, S. anthophorae initially grows in classical Streptomyces form, forming small fluffy spheres. However, after 2–3 days, the filaments fragment into smaller pieces and fall out of solution, forming a pellet.
S. nidicola sp. nov.
On TSA solid media, colonies are irregular in shape and have lobate edges that tend to be raised from the media surface on the edges, creating a ‘donut’-like appearance of early colonies, which then grow together (Fig. 4b). For older colonies or lawns, the surface ranges between tightly wrinkled (centre) and flat with raised wrinkled edges. Colonies are opaque, pale yellowish pink in colour, with matte surface and viscous to hard texture; they tend to break apart when picked. Colonies secrete pale pink to light yellowish brown diffusible pigments (Table 3). A distinct odour is often absent, but occasionally weakly earthy, suggesting geosmin production.
On MYM solid media, colonies are entire with slightly ciliate edges. Dense colonies grow together to form irregular edges which curl back up and over the colonies. Surface is pale yellowish pink, matte, bumpy and complex with peeling back of edges. Spore formation was not observed on any media tested (TSA, OA and MYM).
In liquid SGM, S. nidicola sp. nov. initially grows in classical Streptomyces form, forming small fluffy spheres. However, after 2–3 days, the filaments fragment into smaller pieces and fall out of solution.
Physiology
Noticeable diffusible pigments were only produced by the bee-isolated Streptomyces strains, with S. anthophorae sp. nov. producing light to moderate yellowish brown pigmentation to various degrees and S. nidicola sp. nov. producing a pale pink to light yellowish brown pigment on TSA. S. fractus MV32T and S. kunmingensis DSM 41681T did not produce noticeable diffusible pigmentation on TSA. Salt tolerance also differentiated the species, with all S. anthophorae sp. nov. strains being salt tolerant (10%) along with S. fractus MV32T, whereas S. endophyticus YIM 65594T, S. kunmingensis DSM 41681T and Streptomyces variegatus B-16380 are not salt tolerant, or grew only weakly (Table 3) [16]. None of the tested strains tolerated 15% NaCl. Only the new isolates as well as S. fractus MV32T fragmented after several days in liquid TSB media. Both new type strains (BH034T and BH106T) grew at 42 °C, as did S. fractus MV32T, but not S. kunmingensis DSM 41681T; S. endophyticus YIM65594T and S. variegatus B-16380 fail to grow at 37 °C [17]. Both new type strains (BH034T and BH106T) also grew weakly at 5 °C, S. fractus MV32T and S. kunmingensis DSM 41681T did not, and S. endophyticus YIM 65594T is unable to grow at 4 °C per [16]. Spore formation was observed for all S. anthophorae sp. nov. strains on OA but was not observed for S. nidicola sp. nov. nor for S. fractus MV32T on any tested media (Table 3). Growth in TSB with pH adjustment to pH 4.0, 5.0, 7.0, 9.0 and 10.0 showed that S. anthophorae sp. nov. BH034T grew weakly at pH 5.0 and 10.0 and normally between 7.0 and 9.0. S. fractus MV32T and S. nidicola sp. nov. BH106T grew normally at pH 7.0 and weakly at pH 9.0 and did not grow at the other tested pH levels.
Substrate utilization and resistance
Type strains of each proposed new species (BH034T and BH106T) as well as closely related S. fractus MV32T and S. kunmingensis DSM 41681T were tested for growth on 71 different substrates using Biolog GenIII microplates. These were compared to the literature for S. endophyticus YIM 65594T [16]. Key differences between the two bee-isolated type strains and the closely related S. fractus MV32T and S. kunmingensis DSM 41681T were that neither bee isolate was able to grow on pectin, whereas both S. fractus MV32T and S. kunmingensis DSM 41681T were able to grow weakly on it. The two bee-isolated type strains were able to grow only weakly or not at all on methyl pyruvate, l-pyroglutamic acid and l-fucose, whereas both S. fractus MV32T and S. kunmingensis DSM 41681T were able to grow normally on these substrates. BH034T was differentiated from S. endophyticus YIM 65594T literature by the ability to utilize sucrose, and BH106T was differentiated by the inability to utilize d-maltose [16].
There were also differences between the type strains of each proposed new species (BH034T and BH106T). Sucrose, d-maltose, d-fucose, d-fructose 6-PO4, l-histidine and stachyose were utilized by BH034T but not BH106T. BH106T was able to utilize γ-amino-butyric acid (GABA), l-alanine, mucic acid, acetic acid and formic acid, whereas BH034T was only able to weakly grow on these substrates. See Table 4 for select distinguishing characteristics and Table S4 for full profiles.
Table 4. Substrate utilization differs among bee-associated Streptomyces and close relatives.
Select substrates showing differential utilization. Growth was assessed using single strains inoculated into Biolog GenIII microplate with 1% NaCl solution. Growth indicated by (+), weak growth (w) and no growth (−).
| Substrate | S. anthophorae sp. nov. BH034T | S. nidicola sp. nov. BH106T | S. fractus MV32T | S. kunmingensis DSM 41681T | S. endophyticus YIM 65594T [16] |
|---|---|---|---|---|---|
| Pectin | − | − | w | w | nd |
| l-Pyroglutamic acid | w | w | + | + | nd |
| Methyl pyruvate | w | w | + | + | nd |
| l-Fucose | w | − | + | + | nd |
| d-Maltose | + | − | + | + | + |
| Sucrose | + | − | + | + | − |
| d-Fucose | + | − | + | w | nd |
| d-Fructose 6-PO4 | + | − | + | w | nd |
| l-Histidine | + | − | w | + | nd |
| Stachyose | + | − | + | w | nd |
| γ-Amino-butyric acid (GABA) | w | + | + | w | nd |
| l-Alanine | w | + | w | + | + |
| Mucic acid | w | + | + | w | nd |
| Acetic acid | w | + | w | + | nd |
| Formic acid | w | + | + | − | nd |
Chemotaxonomy
The major cellular fatty acids (>10%) in strain BH034T were iso-C16 : 0 (25.1%), anteiso-C15 : 0 (19.9%) and iso-C15 : 0 (16.2%), whereas in BH106T, the major cellular fatty acids were anteiso-C15 : 0 (25.4%), anteiso-C17: 0 (20.1%), iso-C17 : 0 (13.7%) and iso-C15 : 0 (12.9%) (Table 5). The fatty acid patterns of both strains correspond to fatty acid pattern 2 c of Kroppenstedt (1985), indicating Streptomyces genus, but differ from the reported profiles of the type strains of the closest relatives S. fractus MV32T and S. endophyticus YIM 65594T. All four strains share anteiso-C15 : 0 as a major fatty acid. The other major fatty acids distinguish one or more strains from the others. BH034T and BH106T are distinguishable from each other and the closely related species by fatty acid composition. The cell walls of BH034T and BH106T contained ll-diaminopimelic acid.
Table 5. Cellular fatty acid profiles and cell-wall ll-DAP of the bee-isolated type strains BH034ᵀ and BH106ᵀ compared with their closest related species, S. fractus MV32T [17] and S. endophyticus YIM 65594T [16].
All fatty acids for which any individual strain had over 2% are shown. Major fatty acids, defined as those comprising >10% of total fatty acids, are indicated by bold text. ll-DAP is present in all strains.
| Fatty acid/component | S. anthophorae sp. nov. BH034T | S. nidicola sp. nov. BH106T | S. fractus MV32T | S. endophyticus YIM 65594 T |
|---|---|---|---|---|
| 15:0 anteiso | 19.9 | 25.4 | 36.5 | 34.2 |
| 17:0 anteiso | 9.7 | 20.1 | 20.3 | 28.3 |
| 16:0 iso | 25.1 | 7.3 | 15.6 | 20.9 |
| 15:0 iso | 16.2 | 12.9 | 6.3 | 2.9 |
| 17:0 iso | 7.4 | 13.7 | 3.1 | 2.3 |
| 14:0 iso | 8.2 | 1.9 | 1.8 | 1.6 |
| 16:0 | 4.1 | 3.8 | 3.0 | − |
| 18:1 iso ω6c | 1.5 | 3.6 | − | − |
| 17:1 anteiso ω9c | − | − | 4.1 | 2.9 |
| 18:3 ω6c (6,9,12) | 1.5 | 2.3 | − | − |
| 16:1 iso H | 0.4 | 0.1 | 2.8 | 1.4 |
| ll-DAP | + | + | + | + |
| Source | This paper | This paper | [17] | [16] |
Discussion
Streptomyces spp. are commonly associated with plants and animals [8,10,56, 57]. These relationships are often mutualisms, with the host providing a consistent growth environment and transmission of the bacteria between generations and the Streptomyces providing protection from infection through production of secondary metabolites [10,11, 58, 59]. In previous work, we found that Streptomyces is present throughout the development of the bee A. bomboides but is especially abundant during overwintering, when the bee faces heightened pathogen pressure [14]. Four of the six strains described here have been shown to inhibit the growth of bee fungal pathogens [14], so they may be involved in the defence of the developing bees against microbial pathogens.
Genomic analysis showed that the bee isolates described here separate into two novel species, one being a clade of five closely related isolates, here named S. anthophorae sp. nov., and the other consisting of one isolate, here named S. nidicola sp. nov. This finding was supported by whole-genome comparison methods (ANI, dDDH), as well as MLSA and whole-genome trees, which confirmed the strong support for separation of these isolates from known species and into these two new species. The two species most closely related to the new isolates are S. endophyticus YIM 65594T and S. fractus MV32T (Fig. 1). Both are associated with a host, with S. endophyticus being associated with the roots of Artemisia annua and S. fractus being associated with the gut of the black mound termite (A. hastatus) [16,17]. The genome of S. endophyticus YIM 65594T was available on the NCBI, and the physiology was described [16]; thus, we used only the genome and literature review for comparisons. The genome of S. fractus was not available, but as the type strain (MV32T) was freely available from the USDA ARS Culture Collection, we ordered, sequenced and characterized it alongside the S. anthophorae and S. nidicola strains. This allowed for full genomic comparisons of these two most closely related species with the bee-isolated strains. Interestingly, the tolerance of salt and high temperature exhibited by the bee-isolated strains was most like that of S. fractus MV32T, which was also isolated from a soil-dwelling insect (black mound termite). The similarities also included fragmentation in liquid media [17].
Streptomyces are known for their production of secondary metabolites, and analysis of BGC composition in the isolate genomes as compared to the most closely related species showed that S. anthophorae sp. nov. strains have unique BGCs as compared to close relatives. The BGCs are distinct among the two clades within S. anthophorae, with clade 2 (BH055/BH104/BH105) having the highest number of unique BGCs, though they were not all consistently found in all three strains (Fig. 3). In previous work, we found that BH034T and BH097 (clade 1) showed higher inhibition of the fungal bee pathogen Ascosphaera apis than BH055 and BH104 (clade 2) [14], which indicates that one or both BGCs that differentiate the clades may encode the biosynthetic machinery for an antifungal compound.
Significance
Pathogenic fungi threaten human health, as well as the productivity of animals and plants cultivated for agriculture [60]. Infection and mortality from pathogenic fungi are increasing threat due to emerging fungal species, increasing resistance to existing antifungal compounds and limited antifungal modes of action available for therapeutic use [61]. Much effort has been dedicated to antifungal natural products discovery from soil-dwelling bacteria, marine organisms and other potential sources of novel chemistries [8,62,64]. However, isolation campaign success has been limited by context-specific metabolite production, compound rediscovery and off-target toxicity for eukaryotic host animals [65]. To overcome these challenges, host-microbe symbiotic systems have been proposed as platforms for antifungal chemistry discovery, but few systems have been leveraged to date; insect-microbe systems specifically have been shown to hold exceptional potential for novel, safe and effective antifungal chemistry [8,10, 63]. These genomes and analysis will allow further exploration of previously undescribed metabolite diversity and may yield novel antifungal agents that could be leveraged for therapeutic use.
Description of Streptomyces anthophorae sp. nov.
Streptomyces anthophorae sp. nov. (an.tho’pho.rae. N.L. gen. n. anthophorae, of the solitary bee Anthophora bomboides).
The type strain is BH034T and was isolated from a pollen provision in a brood cell of developing A. bomboides. S. anthophorae sp. nov. is a Gram-positive, filamentous bacterium [66]. It exhibits fragmenting growth in liquid media and inhibits the growth of several bee-associated filamentous fungi [14]. The temperature range for growth is 25–42 °C, with weak growth occurring at 5 °C and optimal growth between 28 and 37 °C on TSA or in liquid SGM. The pH range for growth is 5.0–10.0, optimum pH 7.0. It occasionally produces light to moderate yellowish-brown diffusible pigment on solid media and is halotolerant to 10% NaCl. It consistently produces white spores on OA and is catalase positive.
Able to utilize d-raffinose, alpha-d-glucose, gelatin, Tween 40, dextrin, alpha-d-lactose, d-mannose, d-mannitol, glycyl-l-proline, d-galacturonic acid, d-maltose, d-melibiose, d-fructose, d-arabitol, l-galactonic acid lactone, alpha-hydroxybutyric acid, d-trehalose, beta-methyl-d-glucoside, d-galactose, l-arginine, d-gluconic acid, l-lactic acid, beta-hydroxy-d,l- butyric acid, d-cellobiose, d-salicin, glycerol, l-aspartic acid, d-glucuronic acid, citric acid, alpha-keto butyric acid, gentiobiose, N-acetyl-d-glucosamine, d-fucose, d-glucose 6-PO4, l-glutamic acid, sucrose, d-fructose 6-PO4, l-histidine, d-malic acid, propionic acid, d-turanose, N-acetyl-d-galactosamine, l-rhamnose, quinic acid, l-malic acid, stachyose, N-acetyl-neuraminic acid, inosine, l-serine, d-saccharic acid and bromo-succinic acid. Able to weakly utilize d-sorbitol, methyl pyruvate, y-amino-butyric acid, l-alanine, d-lactic methyl ester, myo-inositol, glucuronamide, alpha-keto-glutaric acid, acetoacetic acid, l-fucose, mucic acid, d-aspartic acid, l-pyroglutamic acid, acetic acid, d-serine and formic acid. Unable to utilize pectin, p-hydroxyphenylacetic acid, 3-methyl glucose or N-acetyl-beta-d-mannosamine. The major cellular fatty acids (>10%) are iso-C16 : 0, anteiso-C15 : 0 and iso-C15 : 0. Whole-cell hydrolysates contain ll-diaminopimelic acid. The genome of the type strain (BH034T) is 9.62 Mb with a G+C content of 71 mol% and 8,716 predicted genes. The type strain (BH034T) is available under collection numbers NRRL B-65741 and DSM 119658 from the USDA ARS Collection and the DSMZ German Collection of Microorganisms and Cell Cultures, respectively. The genome is available on the NCBI (JBLWQQ000000000).
Description of Streptomyces nidicola sp. nov.
Streptomyces nidicola sp. nov. (ni.di’co.la. L. masc. n. nidus, nest; L. masc./fem. suff. -cola (from L. masc./fem. n. incola), inhabitant, dweller; N.L. masc. n. nidicola, nest dweller, referring to the isolation of the type strain from a solitary bee nest)
The type strain is BH106T and was isolated from an A. bomboides pupa within a brood cell. S. nidicola sp. nov. is a Gram-positive, filamentous bacterium that exhibits fragmenting growth in liquid media [66]. The temperature range for growth is 25–42 °C, with weak growth occurring at 5 °C and optimal growth between 28 and 37 °C on TSA or in liquid SGM. The pH range for growth is 7.0–9.0, optimum pH 7.0. Species produces pale pink to light yellowish brown diffusible pigment on solid TSA media and can weakly grow in 10% NaCl. It is catalase positive and did not produce spores on any tested media type. Able to utilize alpha-d-glucose, gelatin, Tween 40, dextrin, alpha-d-lactose, d-mannose, d-mannitol, glycyl-l-proline, y-amino-butyric acid, d-fructose, d-arabitol, l-alanine, l-galactonic acid lactone, d-trehalose, d-galactose, l-arginine, d-gluconic acid, beta-hydroxy-d,l- butyric acid, d-cellobiose, d-salicin, glycerol, l-aspartic acid, d-glucuronic acid, citric acid, alpha-keto butyric acid, gentiobiose, N-acetyl-d-glucosamine, l-glutamic acid, mucic acid, d-malic acid, propionic acid, N-acetyl-d-galactosamine, l-rhamnose, quinic acid, l-malic acid, acetic acid, N-acetyl-neuraminic acid, inosine, l-serine, d-saccharic acid and formic acid. Able to weakly utilize d-raffinose, d-sorbitol, d-galacturonic acid, methyl pyruvate, d-melibiose, alpha-hydroxybutyric acid, beta-methyl-d-glucoside, l-lactic acid, d-glucose 6-PO4, glucuronamide, alpha-keto-glutaric acid, acetoacetic acid, d-turanose, d-aspartic acid, l-pyroglutamic acid and bromo-succinic acid. Unable to utilize pectin, p-hydroxyphenylacetic acid, d-maltose, d-lactic methyl ester, myo-inositol, 3-methyl glucose, d-fucose, sucrose, N-acetyl-beta-d-mannosamine, l-fucose, d-fructose 6-PO4, l-histidine, stachyose or d-serine. The major fatty acids are anteiso-C15 :0, anteiso-C17:0, iso-C17 :0 and iso-C15 :0. Whole-cell hydrolysates contain ll-diaminopimelic acid.
The genome of the S. nidicola sp. nov. type strain (BH106T) is 9.4 Mb with a G+C content of 70.7% and 8,426 predicted genes. The type strain (BH106T) is available under collection numbers NRRL B-65742 and DSM 119659 from the USDA ARS Collection and the DSMZ German Collection of Microorganisms and Cell Cultures, respectively. The genome is available on the NCBI (JBNBPI000000000).
Supplementary material
Abbreviations
- ANI
average nucleotide identity
- ASV
amplicon sequencing variant
- BGC
biosynthetic gene cluster
- dDDH
digital DNA–DNA hybridization
- GBDP
Genome blast Distance Phylogeny
- MAFFT
Multiple Alignment using Fast Fourier Transform
- MLSA
multilocus sequence alignment
- MYM
maltose yeast media
- NJ
neighbour-joining
- NRPS
non-ribosomal peptide synthase
- OA
oatmeal agar
- SGM
supplemented Grace’s media
- TSA
tryptic soy agar
Footnotes
Funding: This work was funded by the National Science Foundation, award numbers DEB-1929516 and DEB-1846266.
Accession No: The GenBank data are found within the BioProject PRJNA1226272. The NCBI genome accession numbers are JBLWQQ000000000, JBNBPK000000000, JBLWIQ010000000, JBMHXW000000000, JBNBPJ000000000 and JBNBPI000000000; 16S rRNA gene sequences have accession numbers: PP576370, PP576371, PP576373, PP576372, PV476755 and PV476756 for strains BH034T, BH097, BH055, BH104, BH105 and BH106T respectively. Type strains are available under collection numbers NRRL B-65741 = DSM 119658 for S. anthophorae BH034T and NRRL B-65742 = DSM 119659 for S. nidicola BH106T from the USDA ARS Collection and the DSMZ German Collection of Microorganisms and Cell Cultures, respectively.
Contributor Information
Shawn M. Christensen, Email: smchristensen@ucdavis.edu.
Martin Kaltenpoth, Email: kaltenpoth@ice.mpg.de.
Heiko Vogel, Email: hvogel@ice.mpg.de.
Rachel L. Vannette, Email: rlvannette@ucdavis.edu.
References
- 1.Otani H, Udwary DW, Mouncey NJ. Comparative and pangenomic analysis of the genus Streptomyces. Sci Rep. 2022;12:18909. doi: 10.1038/s41598-022-21731-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Chater KF. Streptomyces inside-out: a new perspective on the bacteria that provide us with antibiotics. Philos Trans R Soc Lond B Biol Sci . 2006;361:761–768. doi: 10.1098/rstb.2005.1758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.de Lima Procópio RE, da Silva IR, Martins MK, de Azevedo JL, de Araújo JM. Antibiotics produced by Streptomyces. Braz J Infect Dis. 2012;16:466–471. doi: 10.1016/j.bjid.2012.08.014. [DOI] [PubMed] [Google Scholar]
- 4.Alam K, Mazumder A, Sikdar S, Zhao Y-M, Hao J, et al. Streptomyces: the biofactory of secondary metabolites. Front Microbiol. 13 doi: 10.3389/fmicb.2022.968053. Epub ahead of print 29 September 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lee N, Kim W, Hwang S, Lee Y, Cho S, et al. Thirty complete Streptomyces genome sequences for mining novel secondary metabolite biosynthetic gene clusters. Sci Data. 2020;7:55. doi: 10.1038/s41597-020-0395-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Seshadri R, Roux S, Huber KJ, Wu D, Yu S, et al. Expanding the genomic encyclopedia of actinobacteria with 824 isolate reference genomes. Cell Genomics. 2 doi: 10.1016/j.xgen.2022.100213. Epub ahead of print 14 December 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Deshpande BS, Ambedkar SS, Shewale JG. Biologically active secondary metabolites from Streptomyces. Enzyme Microb Technol. 1988;10:455–473. doi: 10.1016/0141-0229(88)90023-3. [DOI] [Google Scholar]
- 8.Chevrette MG, Carlson CM, Ortega HE, Thomas C, Ananiev GE, et al. The antimicrobial potential of Streptomyces from insect microbiomes. Nat Commun. 2019;10 doi: 10.1038/s41467-019-08438-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Matarrita-Carranza B, Moreira-Soto RD, Murillo-Cruz C, Mora M, Currie CR, et al. Evidence for widespread associations between neotropical hymenopteran insects and actinobacteria. Front Microbiol. 2017;8:2016. doi: 10.3389/fmicb.2017.02016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Seipke RF, Kaltenpoth M, Hutchings MI. Streptomyces as symbionts: an emerging and widespread theme? FEMS Microbiol Rev. 2012;36:862–876. doi: 10.1111/j.1574-6976.2011.00313.x. [DOI] [PubMed] [Google Scholar]
- 11.Kroiss J, Kaltenpoth M, Schneider B, Schwinger M-G, Hertweck C, et al. Symbiotic streptomycetes provide antibiotic combination prophylaxis for wasp offspring. Nat Chem Biol. 2010;6:261–263. doi: 10.1038/nchembio.331. [DOI] [PubMed] [Google Scholar]
- 12.Seipke RF, Barke J, Brearley C, Hill L, Yu DW, et al. A single Streptomyces symbiont makes multiple antifungals to support the fungus farming ant Acromyrmex octospinosus. PLoS One. 2011;6:e22028. doi: 10.1371/journal.pone.0022028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Haeder S, Wirth R, Herz H, Spiteller D. Candicidin-producing Streptomyces support leaf-cutting ants to protect their fungus garden against the pathogenic fungus Escovopsis. Proc Natl Acad Sci U S A. 2009;106:4742–4746. doi: 10.1073/pnas.0812082106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Christensen SM, Srinivas SN, McFrederick QS, Danforth BN, Buchmann SL, et al. Symbiotic bacteria and fungi proliferate in diapause and may enhance overwintering survival in a solitary bee. ISME J. 2024;18:wrae089. doi: 10.1093/ismejo/wrae089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kelly KL. The ISCC-NBS Method of Designating Colors and a Dictionary of Color Names. U.S. Department of Commerce, National Bureau of Standards; 1955. [Google Scholar]
- 16.Li J, Zhao G-Z, Zhu W-Y, Huang H-Y, Xu L-H, et al. Streptomyces endophyticus sp. nov., an endophytic actinomycete isolated from Artemisia annua L. Int J Syst Evol Microbiol. 2013;63:224–229. doi: 10.1099/ijs.0.035725-0. [DOI] [PubMed] [Google Scholar]
- 17.Rohland J, Meyers PR. Streptomyces fractus sp. nov., a novel streptomycete isolated from the gut of a South African termite. Antonie Van Leeuwenhoek. 2015;107:1127–1134. doi: 10.1007/s10482-015-0404-8. [DOI] [PubMed] [Google Scholar]
- 18.Garbeva P, Avalos M, Ulanova D, van Wezel GP, Dickschat JS. Volatile sensation: the chemical ecology of the earthy odorant geosmin. Environ Microbiol. 2023;25:1565–1574. doi: 10.1111/1462-2920.16381. [DOI] [PubMed] [Google Scholar]
- 19.Sasser M. MIDI technical note 101: Identification of bacteria by gas chromatography of cellular fatty acids. MIDI, Newark. MIDI, Inc. 1990. [13-November-2025]. https://www.researchgate.net/publication/303137579_MIDI_technical_note_101_Identification_of_bacteria_by_gas_chromatography_of_cellular_fatty_acids_MIDI_Newark accessed.
- 20.Vieira S, Huber KJ, Neumann-Schaal M, Geppert A, Luckner M, et al. Usitatibacter rugosus gen. nov., sp. nov. and Usitatibacter palustris sp. nov., novel members of Usitatibacteraceae fam. nov. within the order Nitrosomonadales isolated from soil. Int J Syst Evol Microbiol. 2021;71 doi: 10.1099/ijsem.0.004631. Epub ahead of print February 2021. [DOI] [PubMed] [Google Scholar]
- 21.Rhuland LE, Work E, Denman RF, Hoare DS. The behavior of the isomers of α,ε-diaminopimelic acid on paper chromatograms. J Am Chem Soc. 1955;77:4844–4846. doi: 10.1021/ja01623a047. [DOI] [Google Scholar]
- 22.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
- 23.Weisburg WG, Barns SM, Pelletier DA, Lane DJ. 16S ribosomal DNA amplification for phylogenetic study. J Bacteriol. 1991;173:697–703. doi: 10.1128/jb.173.2.697-703.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Comeau AM, Filloramo GV. Preparing multiplexed WGS/MetaG SMRTbell libraries with the express TPK2.0 for the PacBio Sequel2 V.1. 2023 doi: 10.17504/protocols.io.36wgq7313vk5/v1. [DOI]
- 25.Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol. 2019;37:540–546. doi: 10.1038/s41587-019-0072-8. [DOI] [PubMed] [Google Scholar]
- 26.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 28.Vaser R, Sović I, Nagarajan N, Šikić M. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res. 2017;27:737–746. doi: 10.1101/gr.214270.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018;34:3094–3100. doi: 10.1093/bioinformatics/bty191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.nanoporetech/medaka. 2025. [5-March-2025]. https://github.com/nanoporetech/medaka accessed.
- 31.Konstantinidis KT, Tiedje JM. Genomic insights that advance the species definition for prokaryotes. Proc Natl Acad Sci USA. 2005;102:2567–2572. doi: 10.1073/pnas.0409727102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Meier-Kolthoff JP, 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]
- 33.Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Göker M. TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucleic Acids Res. 2022;50:D801–D807. doi: 10.1093/nar/gkab902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH, et al. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol. 2016;17:132. doi: 10.1186/s13059-016-0997-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lagesen K, Hallin P, Rødland EA, Staerfeldt H-H, Rognes T, et al. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–3108. doi: 10.1093/nar/gkm160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Auch AF, Henz SR, Holland BR, Göker M. Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences. BMC Bioinformatics. 2006;7:350. doi: 10.1186/1471-2105-7-350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lefort V, Desper R, Gascuel O. FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program. Mol Biol Evol. 2015;32:2798–2800. doi: 10.1093/molbev/msv150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kreft L, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 2017;33:2946–2947. doi: 10.1093/bioinformatics/btx324. [DOI] [PubMed] [Google Scholar]
- 39.Ciufo S, Kannan S, Sharma S, Badretdin A, Clark K, et al. Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI. Int J Syst Evol Microbiol. 2018;68:2386–2392. doi: 10.1099/ijsem.0.002809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW, et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010;11:119. doi: 10.1186/1471-2105-11-119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Laslett D, Canback B. ARAGORN, a program to detect trna genes and tmrna genes in nucleotide sequences. Nucleic Acids Res. 2004;32:11–16. doi: 10.1093/nar/gkh152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Eddy SR. Accelerated profile HMM searches. PLoS Comput Biol. 2011;7:e1002195. doi: 10.1371/journal.pcbi.1002195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.The UniProt Consortium The UniProt consortium. UniProt: the universal protein knowledgebase. Nucleic Acids Res. 2017;45:D158–D169. doi: 10.1093/nar/gkw1099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.O’Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, et al. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 2016;44:D733–45. doi: 10.1093/nar/gkv1189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Tatusova T, Ciufo S, Fedorov B, O’Neill K, Tolstoy I. RefSeq microbial genomes database: new representation and annotation strategy. Nucl Acids Res. 2014;42:D553–D559. doi: 10.1093/nar/gkt1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Mistry J, Chuguransky S, Williams L, Qureshi M, Salazar GA, et al. Pfam: the protein families database in 2021. Nucleic Acids Res. 2021;49:D412–D419. doi: 10.1093/nar/gkaa913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kanehisa M, Sato Y, Morishima K. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J Mol Biol. 2016;428:726–731. doi: 10.1016/j.jmb.2015.11.006. [DOI] [PubMed] [Google Scholar]
- 48.Kanehisa M, Sato Y. KEGG mapper for inferring cellular functions from protein sequences. Protein Sci. 2020;29:28–35. doi: 10.1002/pro.3711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Blin K, Shaw S, Augustijn HE, Reitz ZL, Biermann F, et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic Acids Res. 2023;51:W46–W50. doi: 10.1093/nar/gkad344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Terlouw BR, Blin K, Navarro-Muñoz JC, Avalon NE, Chevrette MG, et al. MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters. Nucleic Acids Res. 2023;51:D603–D610. doi: 10.1093/nar/gkac1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Komaki H. Resolution of housekeeping gene sequences used in MLSA for the genus Streptomyces and reclassification of Streptomyces anthocyanicus and Streptomyces tricolor as heterotypic synonyms of Streptomyces violaceoruber. Int J Syst Evol Microbiol. 2022;72 doi: 10.1099/ijsem.0.005370. [DOI] [PubMed] [Google Scholar]
- 52.Labeda DP, Dunlap CA, Rong X, Huang Y, Doroghazi JR, et al. Phylogenetic relationships in the family Streptomycetaceae using multi-locus sequence analysis. Antonie van Leeuwenhoek. 2017;110:563–583. doi: 10.1007/s10482-016-0824-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Katoh K, Rozewicki J, Yamada KD. MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief Bioinformatics. 2019;20:1160–1166. doi: 10.1093/bib/bbx108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Carro L, Peix Á, Velázquez E. In: Developmental Biology in Prokaryotes and Lower Eukaryotes. Villa TG, Miguel Bouzas T, editors. Cham: Springer International Publishing; The taxonomy of bacteria in the genomic era; pp. 289–309. [Google Scholar]
- 55.Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, et al. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol. 2007;57:81–91. doi: 10.1099/ijs.0.64483-0. [DOI] [PubMed] [Google Scholar]
- 56.Barka EA, Vatsa P, Sanchez L, Gaveau-Vaillant N, Jacquard C, et al. Taxonomy, physiology, and natural products of actinobacteria. Microbiol Mol Biol Rev. 2016;80:1–43. doi: 10.1128/MMBR.00019-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Nofiani R, Ardiningsih P, Zahra STA, et al. Genome features and secondary metabolite potential of the marine symbiont Streptomyces sp. RS2. Arch Microbiol. 2023;205:244. doi: 10.1007/s00203-023-03556-2. [DOI] [PubMed] [Google Scholar]
- 58.Kaltenpoth M, Göttler W, Herzner G, Strohm E. Symbiotic bacteria protect wasp larvae from fungal infestation. Curr Biol. 2005;15:475–479. doi: 10.1016/j.cub.2004.12.084. [DOI] [PubMed] [Google Scholar]
- 59.Ingham CS, Engl T, Matarrita-Carranza B, Vogler P, Huettel B, et al. Host hydrocarbons protect symbiont transmission from a radical host defense. Proc Natl Acad Sci U S A. 2023;120:e2302721120. doi: 10.1073/pnas.2302721120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Denning DW. Global incidence and mortality of severe fungal disease. Lancet Infect Dis. 2024;24:e428–e438. doi: 10.1016/S1473-3099(23)00692-8. [DOI] [PubMed] [Google Scholar]
- 61.Nnadi NE, Carter DA. Climate change and the emergence of fungal pathogens. PLoS Pathog. 2021;17:e1009503. doi: 10.1371/journal.ppat.1009503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Watve MG, Tickoo R, Jog MM, Bhole BD. How many antibiotics are produced by the genus Streptomyces? Arch Microbiol. 2001;176:386–390. doi: 10.1007/s002030100345. [DOI] [PubMed] [Google Scholar]
- 63.Zhang Z, Zhou T, Harunari E, Oku N, Igarashi Y. Iseolides A–C, antifungal macrolides from a coral-derived actinomycete of the genus Streptomyces. J Antibiot. 2020;73:534–541. doi: 10.1038/s41429-020-0304-7. [DOI] [PubMed] [Google Scholar]
- 64.Donald L, Pipite A, Subramani R, Owen J, Keyzers RA, et al. Streptomyces: still the biggest producer of new natural secondary metabolites, a current perspective. Microbiol Res. 2022;13:418–465. doi: 10.3390/microbiolres13030031. [DOI] [Google Scholar]
- 65.Roemer T, Krysan DJ. Antifungal drug development: challenges, unmet clinical needs, and new approaches. Cold Spring Harb Perspect Med. 2014;4:a019703. doi: 10.1101/cshperspect.a019703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Parte A, Whitman WB, Goodfellow M, Kämpfer P, Busse H-J, et al. Bergey’s Manual of Systematic Bacteriology: Volume 5: The Actinobacteria. New York: Springer; 2012. [DOI] [Google Scholar]
- 67.Letunic I, Bork P. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool. Nucleic Acids Res. 2024;52:W78–W82. doi: 10.1093/nar/gkae268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Heberle H, Meirelles GV, da Silva FR, Telles GP, Minghim R. InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. BMC Bioinformatics. 2015;16:169. doi: 10.1186/s12859-015-0611-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
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