ABSTRACT
Benthic cyanobacterial mats in flowing waters are complex communities typically composed of taxa from the orders Coleofasciculales and Oscillatoriales, many of which have unresolved taxonomic positions and poorly characterized toxic potential. We collected field mats of a benthic non‐heterocytous filamentous cyanobacterium from the North and South Forks of the Shenandoah River in Northern Virginia (USA) that were dominated by a novel morphotype. Whole‐genome and 16S rRNA gene phylogenetic analyses placed this cyanobacterium within the recently described genus Limnofasciculus (Coleofasciculaceae). Genome‐based species delimitation metrics fell below accepted thresholds for bacterial species delineation relative to Limnofasciculus baicalensis, the only formally described species in the genus to date, supporting recognition of the cyanobacterium from Shenandoah River as a distinct species. Furthermore, the two Limnofasciculus species exhibited marked structural differences in the Box B helix of the 16S–23S ITS region. Comparative genomic analyses revealed a genome size similar to L. baicalensis and a conserved core gene repertoire alongside substantial divergence in biosynthetic gene cluster composition. Neither species contains biosynthetic gene clusters associated with the production of known cyanotoxins. Based on morphological, phylogenetic and genomic evidence, we describe Limnofasciculus delicatus sp. nov., supported by light microscopy and whole‐genome characterization.
Keywords: benthic cyanobacterial proliferations, freshwater flowing systems, metagenome‐assembled genomes, phylogenomics
A novel mat‐forming benthic freshwater cyanobacterium, Limnofasciculus delicatus, is described based on morphological, phylogenetic and genomic evidence from the North and South Forks of the Shenandoah River. Although Limnofasciculus delicatus lacks biosynthetic gene clusters associated with the production of known cyanotoxins, it occurs in association with anatoxin‐producing benthic cyanobacteria.

1. Introduction
Benthic cyanobacterial mat proliferations in flowing waters are increasing worldwide, threatening ecosystem stability, wildlife and domestic animals due to their high biomass and toxin production (Wood et al. 2020). In streams, the most abundant benthic neurotoxin producers include species of Microcoleus, the primary source of anatoxins, which have been linked to domestic animal mortality and adverse impacts on aquatic life (Kelly et al. 2026; Valadez‐Cano et al. 2023). This genus is common in the Shenandoah River (Northern Virginia, USA), which over the past decade has experienced increasing blooms of nuisance filamentous green algae and harmful benthic cyanobacteria, posing risks to recreational use, aquatic ecosystems and raw water supplies (Buchanan et al. 2021). The Shenandoah River, located in the Mid‐Atlantic region of the United States (Virginia and West Virginia), is the largest tributary of the Potomac River. Detection of toxins (anatoxin‐a and microcystins at concentrations below advisory thresholds) led to river closures in 2021 and 2022 and prompted a subsequent pilot investigation of benthic cyanobacterial taxonomic composition (Virginia Department of Environmental Quality 2021, 2023, 2026).
Microcoleus‐dominated mats are associated with diverse benthic assemblages sometimes comprising multiple cyanobacterial taxa, including members of the family Microcoleaceae and consistently include representatives of the family Coleofasciculaceae, which have been repeatedly detected through molecular surveys (Valadez‐Cano, Tromas, et al. 2025; Sohrab, personal communication).
The family Coleofasciculaceae (Komárek et al. 2014), with the type genus Coleofasciculus (Siegesmund et al. 2008), includes taxa characterized by filament bundles enclosed within a common sheath and trichomes with apical cells lacking calyptra. However, the recent expansion of this family has highlighted the need for taxonomic revision and refinement (Strunecký et al. 2023). Members of Coleofasciculaceae are predominantly found in terrestrial, wetland and marine intertidal environments, although several new freshwater genera have been described in recent years based on molecular evidence (Fernandes et al. 2021; Radzi et al. 2021; Jusko et al. 2024; Wu et al. 2024). The recently described genus Limnofasciculus from Lake Baikal has further expanded the ecological breadth of this family (Sorokovikova et al. 2023). To date, there is no evidence that members of Coleofasciculaceae produce the major cyanotoxins commonly monitored for water quality (e.g., microcystins, anatoxin‐a, cylindrospermopsin or saxitoxins), although biosynthetic gene clusters (BGCs) potentially encoding other secondary metabolites have been reported in Limnofasciculus (Sorokovikova et al. 2023).
Preliminary observations indicate that one of the most abundant cyanobacteria covering large areas of the Shenandoah River bottom consists of filamentous forms morphologically consistent with members of Coleofasciculaceae. However, due to the taxonomic ambiguity within this family, particularly for taxa co‐occurring with anatoxin‐producing Microcoleus, its identity and ecological role remain unclear.
The aims of this study were to: (1) determine the taxonomic placement of this abundant cyanobacterial morphospecies from the Shenandoah River using molecular phylogenetic analyses and comparative genomics; (2) assess the presence of genes and pathways associated with toxin production, and (3) formally describe the species, including its field characteristics and microscopic morphology, to facilitate consistent identification.
2. Materials and Methods
2.1. Sampling Sites and Cyanobacteria Collection
The Shenandoah River has two forks (South and North), each approximately 160 km long, which merge into the 89.5 km long Shenandoah River (US Geological Survey 2025). We obtained individual fresh mats of filamentous non‐heterocytous cyanobacteria from two river locations in 2024 and 2025. We used two field mat samples for this study as follows. Sample 1 was collected from the North Fork Shenandoah River near Strasburg (site NF11 with coordinates 38.97314, −78.35188) on 12 June 2024 by Gordon M. Selckmann. Sample 2 was collected from the South Fork Shenandoah River upstream of Front Royal (38.86766, −78.28067) on 13 August 2025 by Jacob Mormando, George Mason University (GMU). Each mat was collected by hand while wading near the shore, placed in Whirl‐pack sampling bags with river water and transported the same day to the Algal Ecology Lab at GMU's Potomac Environmental Research and Education Center (Woodbridge, Virginia) in a cooler on ice.
2.2. Sample Processing
Upon returning to the laboratory, both mat samples collected in 2024 and 2025 were processed using identical protocols to ensure that molecular and morphological data were derived from the same target taxon. Although each field sample contained a single Limnofasciculus mat, we accounted for the complexity of cyanobacterial mats, which typically comprise multiple species. Samples were first examined under a dissecting microscope at 50× magnification. Small portions of Limnofasciculus filaments were isolated from the same mat and transferred to a separate container, where they were carefully cleaned using fine forceps to remove visible Microseira wollei (Farloe ex Gomont) G.B. McGregor & Sendall ex Kenins and Microcoleus filaments present in both samples. Cleaner Limnofasciculus subsamples were then obtained by selecting small clusters of bright blue‐green filaments with consistent cell morphology, connected by mucilage in fascicles from the same mat. These subsamples were extracted from the same mat and were representative for the same organism. Subsamples designated for DNA extraction were placed in sterile 1.5 mL Eppendorf microtubes after excess water removal and stored at −80°C. Corresponding subsamples for morphological analysis were examined immediately in fresh condition. Additionally, a subsample of Limnofasciculus filaments from site NF11 (Sample 1) was preserved in 15 mL centrifuge tubes containing distilled water for toxin analysis and stored at −20°C. This approach ensured that molecular and morphological data were obtained from the same specimen and corresponded to the same target taxon, which was essential given that the study was based on field‐collected material.
2.3. Light Microscopy
Representative subsamples from the fresh field mats, which corresponded to the subsamples selected for molecular analysis, were observed and documented with an Olympus microscope BX41 with an SC30 digital camera (Olympus Imaging America, Center Valley, Pennsylvania, USA) and a Leica microscope BM4 B with a K3C digital camera (Leica Microsystems, Buffalo Grove, Illinois, USA) at magnification ×400 and ×1000 with oil immersion. We recorded morphological features such as cell width and length, colour, granulation, thylakoid position and extracellular mucilage. The size ranges given in the description of the cyanobacterial species are based on a minimum of 60 cells measured from 30 trichomes using the fresh specimen from the South Fork (Sample 2).
2.4. DNA Extraction
We used mat subsamples isolated from Sample 1 (2024) and Sample 2 (2025) as described above. Excess water was removed from 25 to 50 mg of filaments by pressing them between layers of KimWipes (Kimtech Science, Woodbridge, Ontario, Canada). The material was then transferred to ZR BashingBead Lysis Tubes (Zymo Research, Irvine, CA, USA) containing genome lysis buffer from a Quick DNA miniprep kit (Zymo Research). Bead beating was conducted for 10 min using a Vortex‐Genie 2 equipped with a Horizontal Microtube Holder attachment (Scientific Industries, Bohemia, NY, USA). After vortexing, the tubes were centrifuged briefly to remove foam and a small sample was removed for microscopic examination to ensure cell disruption had occurred. From this point forward, DNA extraction was carried out according to the manufacturer's instructions.
2.5. 16S rRNA Amplicon and Shotgun Metagenomic Sequencing
From DNA extracted from both sampled mats (Sample 1 and Sample 2), the full‐length sequence of the small ribosomal RNA subunit (16S) was PCR‐amplified using the universal primers 27F (5′‐AGRGTTYGATYMTGGCTCAG‐3′) and 1492R (5′‐RGYTACCTTGTTACGACTT‐3′) published in Callahan et al. (2019), which are modified versions of those in Lane (1991). Amplification was carried out with Phusion DNA polymerase (ThermoFisher, Waltham, MA, USA) with the provided High Fidelity buffer, 5 pmol of each primer and a BioRad C1000 thermal cycler programmed to heat to 95°C, 10 min (95°C, 30 s, 55°C, 30 s, 72°C, 30 s) × 40 cycles, followed by a 72°C, 10 min soak. Amplification of a single amplicon was confirmed using gel electrophoresis, and the amplicon was purified for sequencing using the GeneJET PCR Purification kit (Thermo Fisher Scientific, Waltham, MA, USA). Sequencing of the amplicon was completed by the commercial sequencing facility, Genewiz (Azenta Life Sciences, North Plainfield, NJ, USA) using their PCR‐EZ Long‐Read Amplicon Sequencing service. DNA extracted from the South Fork mat subsample (Sample 2, 2025) was shotgun sequenced by Azenta using their non‐human NGS Illumina paired‐read sequencing service.
2.6. Sequenced Data Processing
To process the full‐length 16S sequence, the long‐read FASTQ file received from Azenta was imported into Geneious Prime v.2025.0 (Dotmatics, Boston, MA). Reads were de novo assembled using the Geneious assembler with a maximum mismatch threshold of 15%. Sixty‐seven percent of long reads assembled into a single sequence corresponding to 16S. A fulllength 16S sequence was also identified using the short‐read shotgun data. Paired‐read FASTQ files were imported into Geneious Prime and de novo assembled using the Geneious assembler. Genious' map to reference function was used to identify candidate 16S de novo contigs using the long‐read 16S sequence as bait. This approach identified a single 16S contig. Attempts to identify alternative contigs with 16S‐containing contigs using other reference sequences (e.g., Microcoleus) identified the same contig, confirming the 16S sequence using two strategies.
For whole genome analysis from the short‐read shotgun data, Illumina adapters and low‐quality reads were removed with fastp v0.20.1 (Chen et al. 2018) using default settings. Cleaned reads were assembled into scaffolds with metaSPAdes (SPAdes v3.12.0) (Bankevich et al. 2012) using k‐mer options ‐k21,33,55,77. Metagenome‐assembled genomes (MAGs) were recovered from the assembly using the variational autoencoders for metagenomic binning pipeline (VAMB v3.0.2) (Nissen et al. 2021), MetaBAT2 v2.15–6 (Kang et al. 2015) and MaxBin v2.2.7 (Wu et al. 2016). We used DasTool v1.1.4 (Sieber et al. 2018) to recover the highest‐quality non‐redundant MAGs from each assembly. MAG quality was estimated with CheckM v1.1.3 (Parks et al. 2015). Taxonomic classification of MAGs was performed with GTDB‐Tk v2.3.2 (Chaumeil et al. 2022) implemented in the US Department of Energy Systems Biology Knowledgebase (KBase) platform (http://www.kbase.us/) (Chivian et al. 2023). GTDB‐Tk makes use of the Genome Database Taxonomy (GTDB) r220 (Parks et al. 2022).
2.7. 16S‐Based Phylogenetic Analysis
For 16S‐based phylogenetic analysis, the obtained full‐length sequence from our sampled mats was aligned to other cyanobacterial 16S sequences available in NCBI/Genbank (https://www.ncbi.nlm.nih.gov) as of July 2025. Sequences were aligned using MUSCLE using the PPP standard algorithm (Edgar 2004). A maximum likelihood tree was produced using IQTREE v.3.0.1 (Trifinopoulos et al. 2016) using the HKY model and ultrafast bootstrapping (Hoang et al. 2018).
2.8. Whole Genome Phylogenetics and Genome‐Based Species Delimitation
Open reading frames (ORFs) were predicted from the assembled cyanobacterial MAG (cMAG) and reference genomes using Prodigal v2.6.3 (Hyatt et al. 2010). Reference genomes classified within the family Coleofasciculaceae were retrieved from the GenBank database (accessed 7 December 2025) and complemented with Coleofasciculaceae MAGs previously described from aquatic systems in Atlantic Canada (Valadez‐Cano, Reyes‐Prieto, et al. 2025; Valadez‐Cano, Tromas, et al. 2025). For these previously published MAGs, raw sequencing data were retrieved and processed as described above. Only genomes with estimated completeness > 80% and contamination < 2% were retained for downstream analyses.
Whole‐genome phylogenetic reconstruction of Coleofasciculaceae genomes was performed using a single‐copy ortholog approach. Briefly, OrthoFinder v2.5.5 (Emms and Kelly 2015, 2019) was used to identify single‐copy orthogroups, which were aligned and concatenated at the protein level using MAFFT v7.490 (Katoh and Standley 2013). A maximum‐likelihood (ML) phylogeny was then inferred from the concatenated multiple sequence alignment using IQ‐TREE v2.3.2 (Minh et al. 2020), applying the Q.plant + F + R8 substitution model selected by ModelFinder (Kalyaanamoorthy et al. 2017). Branch support was assessed using 2000 ultrafast bootstrap replicates. The tree was rooted with the genome of Microcoleus sp. GLPC (family Microcoleaceae) as the outgroup (Valadez‐Cano, Reyes‐Prieto, et al. 2025).
Average amino acid identity (AAI) between genomes was calculated using FastAAI (Gerhardt et al. 2025). Average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH) values were estimated using FastANI v1.33 (Jain et al. 2018) and the Genome‐to‐Genome Distance Calculator (GGDC) web service hosted by DSMZ (Meier‐Kolthoff et al. 2013), respectively. Thresholds of 95% ANI and 70% dDDH were applied for bacterial species delineation, following established criteria (Meier‐Kolthoff et al. 2013; Richter and Rosselló‐Móra 2009).
2.9. Comparative Genome Analysis
Protein sequences from the recovered cMAG and Limnofasciculus baicalensis strain BBK‐W‐15 were functionally annotated against the KEGG database using the online tool BlastKOALA using the ‘Prokaryotes’ reference genes dataset (Kanehisa et al. 2016; Kanehisa and Goto 2000).
BGCs were predicted using the bacterial version of the online antiSMASH platform (Blin et al. 2021). Predicted BGCs were subsequently parsed and summarized using multiSMASH v0.4.0 (Zreitz 2024).
2.10. Toxin Analysis
We analysed Sample 1 (site NF11, North Fork Shenandoah River near Strasburg collected on 12 June 2024) used for DNA extraction and 16S‐based phylogenetic analysis and two additional samples, both collected on 26 June 2024: Sample SF2 (South Fork Shenandoah River at Grove Hill Boat Ramp; 38.52765, −78.59459) and Sample SF3 (South Fork Shenandoah River at Riverside Park at Elkton; 38.39648, −78.62447).
Algal material was extracted and analysed based on Aparicio‐Muriana et al. (2022). In brief, the algal material was freeze dried (Labconco 6‐L Freeze Dryer, Kansas City, Missouri, USA) and about 100 mg were mixed with 5% formic acid, homogenized (ULTRA‐TURRAX T25, IKA, Wilmington, North Carolina, USA) and centrifuged (9000 rpm, 10 min). The pellet was extracted a second time with water:methanol 20:80 v/v with sonication (20 min). After centrifugation, the extracts were combined, diluted to 25 mL with Milli‐Q water and extracted by solid‐phase extraction (Strata‐X and Oasis MCX SPE tandem cartridges). The toxin extracts were eluted with 5% NH4OH in methanol, filtered (0.20 μm PTFE), evaporated to dryness and reconstituted in 3% formic acid in acetonitrile. LC–MS/MS. Toxin analysis was performed by LC–MS/MS using a Shimadzu 8050 LCMS (Shimadzu, Columbia, Maryland, USA) using a SeQuant ZIC‐HILIC UHPLC column (150 mm × 2.1 mm, 3.5 μm, MilliporeSigma, St Louis, Missouri, USA) and binary mobile phase 0.3% formic acid and acetonitrile.
The samples were analysed for anatoxin‐a, homoanatoxin‐a, dihydroanatoxin‐a, saxitoxin, microcystin‐LR, microcystin‐RR, nodularin, cylindrospermopsin.
3. Results
3.1. 16S rRNA Phylogeny and Genome‐Based Definition of the Novel Species L. delicatus
Analysis of full‐length 16S sequences from both specimens of Limnofasciculus from the North and South Forks of the Shenandoah River revealed that they differed from one another by a single nucleotide and thus represent a very closely related taxon. Phylogenetic analyses using the full length 16S gene demonstrated that both sequences were closely related to L. baicalensis, from which they differed by 9 (South Fork specimen) and 10 (North Fork specimen) nucleotides across 1421 bp (Figure S1).
Given the high conservation of 16S rRNA sequences between the Shenandoah River samples and L. baicalensis and the limited resolution of this marker for distinguishing closely related species, we employed a whole‐genome approach, which provides a more robust framework for species delimitation in cyanobacteria, including the use of high‐quality MAGs (Dvořák et al. 2025). From shotgun data from the South Fork sample, we recovered a near‐complete cyanobacterial metagenome‐assembled genome (cMAG) with an estimated completeness of 97.8% and 0% contamination. The assembled cMAG was 6,784,069 bp in length with a GC content of 42%, values that are highly similar to the previously reported genome size (6,604,967 bp) and GC content (42%) of L. baicalensis strain BBK‐W‐15 (Sorokovikova et al. 2023). GTDB‐Tk classified the recovered cMAG at the genus level as Limnofasciculus but could not be assigned to L. baicalensis at the species level.
From the recovered Limnofasciculus MAG we obtained a single 16S sequence showing identity > 99.9% across 1421 nucleotides with the sequences from the South Fork and North Fork, indicating that the sequences and the cMAG correspond to the same taxon across both sampling sites. Consistent with the high identity of the 16S between the Limnofasciculus from the Shenandoah River and L. baicalensis BBK‐W‐15, the D1–D1′ helices predicted from the 16S–23S ITS regions were identical in both taxa, resulting in identical secondary structures (Figure 1A). In contrast, comparison of the Box B helices revealed sequence divergence that produced clear structural differences between the two taxa (Figure 1B). The Box B regions shared 89.7% pairwise identity and similar basal regions but differed in their terminal loops: four substitutions in L. baicalensis reduced the terminal loop to four nucleotides, compared with the 10‐nucleotide loop observed in the Limnofasciculus specimen from South Fork (Figure 1B).
FIGURE 1.

Comparison of (A) D1–D1′ and (B) Box B secondary structures from Limnofasciculus delicatus from the South Fork of Shenandoah River and Limnofasciculus baicalensis BBK‐W‐15 derived from the 16S–23S rRNA internal transcribed spacer (ITS) region. ITS motifs were identified using the Cyanobacterial ITS Motif Slicer (CIMS, Labrada et al. 2024) and RNA secondary structures were predicted using the IPknot web server (Sato et al. 2011).
Consistent with the 16S rRNA phylogeny, whole‐genome ML analysis placed the Limnofasciculus MAG in a well‐supported clade (100% bootstrap support) together with L. baicalensis BBK‐W‐15 and Limnofasciculus sp. NSOLA1, recently described from Oathill Lake in Nova Scotia, Canada (Valadez‐Cano, Tromas, et al. 2025) (Figure 2). This Limnofasciculus clade also included multiple unclassified Coleofasciculaceae genomes and was clearly distinct from a separate clade containing Coleofasciculus chthonoplastes (Gomont) M. Siegesmund, which was likewise strongly supported (100% bootstrap; Figure 2).
FIGURE 2.

Maximum likelihood phylogeny estimated using the Q.plant + F + R8 substitution model based on a concatenated alignment (data set available upon request) of 1085 orthogroups comprising 313,222 amino acid sites from Limnofasciculus delicatus from the South Fork of Shenandoah River and other Coleofasciculaceae genomes. Bootstrap support values ≥ 90% are indicated at the nodes. The scale bar represents amino acid substitutions per site. The tree was rooted arbitrarily using Microcoleus sp. GLPC (Microcoleaceae) as outgroup.
AAI estimates between the recovered Limnofasciculus MAG, L. baicalensis BBK‐W‐15 and Limnofasciculus sp. NSOLA1 were > 81%, whereas AAI values with all other reference genomes were < 73%. This pattern is consistent with the proposed 60%–80% AAI threshold for genus delineation (Konstantinidis and Tiedje 2005; Rodriguez‐R and Konstantinidis 2014).
To assess species‐level boundaries, we further calculated ANI and dDDH metrics. The Limnofasciculus MAG from the Shenandoah River showed ANI values of 91% and 90% with Limnofasciculus sp. NSOLA1 and L. baicalensis BBK‐W‐15, respectively, and < 84% with all other reference genomes. Also, the dDDH metrics were below 50% between each of the Limnofasciculus genomes analysed. These genome‐wide relatedness values fall far below the commonly accepted thresholds of 95% ANI and 70% dDDH for bacterial species delimitation.
Collectively, these genome‐based analyses support the assignment of Limnofasciculus sp. NSOLA1, L. baicalensis and the Limnofasciculus MAG from the Shenandoah River to the genus Limnofasciculus while recognizing them as three distinct species.
Based on the combined phylogenetic and genomic evidence which is consistent with the recent cyanobacterial taxonomy frameworks (e.g., Dvořák et al. 2025), we formally describe this benthic cyanobacterium collected from the South Fork of the Shenandoah River in 2025 as a new species Limnofasciculus delicatus Stancheva, Cahoon & Valadez‐Cano.
3.2. Comparative Genomic Analysis of Limnofasciculus Species
A total of 5880 protein‐coding sequences were predicted in L. delicatus , of which 4307 (73.2%) had an identifiable ortholog in L. baicalensis BBK‐W‐15 (Figure 3A). Conversely, L. baicalensis BBK‐W‐15 encoded 6015 protein‐coding sequences, with 4313 (71.7%) sharing orthologs with L. delicatus (Figure 3A). Approximately 30% of the coded proteins in each genome were assigned to KEGG orthology (KO) functions (Figure 3B). Among these annotated functions, 1242 KEGG orthologs were shared between the two species, representing core functional annotations, whereas 83 KEGG functions were unique to L. delicatus and 111 were unique to L. baicalensis BBK‐W‐15 (Figure 3C).
FIGURE 3.

Comparative genomic analysis of Limnofasciculus delicatus from the South Fork of Shenandoah River and Limnofasciculus baicalensis BBK‐W‐15. (A) Ortholog‐based comparison of protein‐coding genes between both genomes, showing shared and species‐specific gene content. (B) Percent of protein‐coding genes assigned to KEGG orthology (KO) functions in each genome. (C) Distribution of KEGG orthologs, highlighting shared core functions and functions unique to each species. (D) Biosynthetic gene cluster (BGC) composition identified in each genome.
To characterize the environmental adaptations of L. delicatus we examined for nif genes related to nitrogen fixation and gvp genes for gas vesicle formation, which are missing and the biosynthetic pathway for thiamine biosynthesis which was incomplete. Furthermore, we did not identify any BGCs associated with the production of known cyanotoxins in either genome. Both species harboured 13 predicted BGCs; however, their composition differed markedly (Figure 3D). L. delicatus was enriched in Type I polyketide synthase (T1PKS) and hybrid clusters, whereas L. baicalensis BBK‐W‐15 exhibited a higher prevalence of nonribosomal peptide synthetase (NRPS) and terpene‐associated clusters (Figure 3D). The proportion of the genome dedicated to secondary metabolite biosynthesis was also higher in L. delicatus (6%) than in L. baicalensis BBK‐W‐15 (3.2%). Collectively, these differences point to distinct secondary metabolite biosynthetic potentials despite similar overall BGC counts.
3.3. Toxin Analysis
All three samples tested were negative for all toxins, except for sample SF2, which tested positive for homoanatoxin‐a (3.65 ng/mg). However, microscopic analysis showed the presence of Microcoleus and Phormidium filaments within Limnofasciculus mats (Figure S2), which are likely to be responsible for homoanatoxin‐a detection.
3.4. Species Description
3.4.1. Limnofasciculus delicatus Stancheva, Cahoon & Valadez‐Cano, sp. nov. (Figures 4, 5, 6, 7)
FIGURE 4.

Field view of Limnofasciculus delicatus mats from Shenandoah River. Mats are blue‐green (A–D, G), with branched bushy appearance, attached by extensive colourless mucilage at one end (white arrows). Some mats appear more bluish due to leaking of phycocyanin from the cells in the field (C) and in lab conditions (E). Black arrow (D) indicates tree leaf trapped within mats. Single mat in a petri dish in lab conditions (F). Images A and E are from the sequenced specimen from the type locality South Fork Shenandoah River upstream of Front Royal. Scale bar for (F) = 2 cm.
FIGURE 5.

Low magnification light micrographs of Limnofasciculus delicatus mats from Shenandoah River. Mats are composed of many fascicles enclosed in a common sheath (B, F). A fascicle is a bundle with many parallel filaments (D) joined together by agglutinating colourless individual sheaths (arrows on E) and common sheaths (arrows on A) hard to distinguish. The colourless common sheath is best visible when colonized by diatoms in the bottom parts of the mats (C); the sheath is bifurcate and tapering at the tips (C). Images (C) and (E) are from the sequenced specimen from the type locality South Fork Shenandoah River upstream of Front Royal. Scale bar = 20 μm (A, D, E) and 100 μm (B, C, F).
FIGURE 6.

High magnification light micrographs of Limnofasciulus delicatus filaments from Shenandoah River. A filament enclosed in widened and lamellated colourless common sheath (A). Fascicle with parallel filaments joined together by agglutinating colourless common sheaths hard to distinguish (B). Filaments with ruptured and detached cells due to lab conditions (added distilled water and room temperature) release water‐soluble pigment phycocyanin (C). All images are from the sequenced specimen from the type locality South Fork Shenandoah River upstream of Front Royal. Images obtained by differential interference contrast light microscopy, at ×1000 magnification and immersion oil. Scale bar = 10 μm (A–C).
FIGURE 7.

High magnification light micrographs of Limnofasciculus delicatus filaments from Shenandoah River showing variation in cell morphology (A–G). Cells are quadrate to long cylindrical with distinct constrictions at the cross‐walls (A–G) and intracellular granulation (A, B, D); cell division commonly observed (black arrows on D and G). Apical cells without calyptra, bullet‐shaped, longer than wide, with variable degree of tapering of the tip from sharp (A—C) to more conical rounded (D—G); Individual sheath around each trichome (white arrows) is usually thin (D), rarely thick, diffluent at the margin (C) or with fine transverse folds (B). All images are from the sequenced specimen from the type locality South Fork Shenandoah River upstream of Front Royal. Holotype specimen (D). Images obtained by differential interference contrast light microscopy, at ×1000 magnification and immersion oil. Scale bar = 10 μm (A–C).
Macroscopic view of the mats in the field: Thallus is dark emerald/blue‐green, up to 40 cm long, approximately 5–25 cm wide, soft to touch, thick, fluffy, with long bushy (tuft‐like) pointed fasciculate outgrowths freely oscillating in the water current (Figure 4A–D,F,G). Large patches have a branched appearance due to their fasciculate structure and are attached by extensive colourless mucilage at one end. The mucilaginous attachment layer may look yellowish due to the accumulation of diatoms and sediment particles (Figure 4B,G). Large mats are typically attached to rocks and gravel and may cover large areas of the hard stream bottom. However, when the hard bottom substrate is colonized by aquatic macrophytes, Limnofasciculus mats are observed trapped within the vegetation.
Microscopic view: Thallus has a branched or bushy appearance because it is composed of many fascicles (bundles of filaments) enclosed in a common sheath (Figure 5B,F). Fascicles contain many parallel filaments, sometimes up to 30 or more (Figures 5D and 7B), intertwined or joined together by agglutinating individual (Figure 5E) and common sheaths (Figures 5A and 7A), often bifurcate at the tips (Figure 5C). Sheaths are colourless, open at the apical ends. Individual sheaths around each trichome are thin, smooth and firm (Figure 7D), rarely thick, diffluent at the margin (Figure 7C) or with fine transverse folds (Figure 7B). The individual sheaths agglutinate in a common widened and lamellated sheath (Figure 6A) that covers the fascicles and tapers to the top of the mats (Figure 5C). The colourless sheath does not stain with Lugol's.
Trichomes are dark blue‐green, cylindrical, long, straight or slightly wavy, with basal‐distal differentiation tapering towards conical apex, with distinctly constricted cells at the cross‐walls and enclosed in an individual thin colourless sheath. Trichomes are unbranched, slightly gliding; hormogonia not observed. Cells are short to long cylindrical with distinct constrictions at the cross‐walls, 4.8–8.7 μm wide; 4.5–26.7 μm long; 0.67–3.06 length to width ratio (Figure 7). Cells with radial or fasciculate thylakoid arrangement and granular content (Figure 7A–D). Cell division is commonly observed (Figure 7D,G). Minimum and maximum lengths refer to cells that had recently divided or were about to divide. Apical cells are without calyptra or thickening, bullet‐shaped with a variable degree of tapering of the tip, always longer than wide (Figure 7), 4.15–7.4 μm wide; 7.9–15 μm long; 1.12–3.03 length to width ratio.
Cell wall is thin and easily ruptured under stress, such as changing osmotic pressure by adding distilled water or increased temperature in lab conditions. In this condition, cells lose their integrity, detach and release cellular content and water‐soluble pigment phycocyanin (Figures 4E and 6C). Similar bluish colour of the fascicles was observed in the field material (Figure 4C), indicating senescing cells or filament degradation under unfavourable environmental conditions.
Holotype voucher specimen: Glutaraldehyde preserved specimen UC2110787 deposited in the University Herbarium at University of California, Berkeley. Holotype specimen is illustrated on Figure 7D.
Type locality: South Fork Shenandoah River upstream of Front Royal (38.86766, −78.28067). The sequenced specimen was collected on 13 August 2025, by Jacob Mormando.
GenBank Bioproject #: PRJNA1419196.
Etymology: The species epithet, meaning delicate, tender or fine in texture, reflects the thin cell walls and their unusually rapid degradation under stress conditions, leading to the quick extracellular release of blue, water‐soluble phycobilins.
Taxonomic notes: This aquatic cyanobacterium is morphologically most similar to two species with trichomes that have elongated cells with constricted cross walls and apical cells without thickening or calyptra that were previously classified as Microcoleus, for example, M. chthonoplastes Thuret ex Gomont (currently Coleofasciculus chthonoplastes) and M. lacustris Farlow ex Gomont, which also need reinvestigation.
M. lacustris differs by narrower trichomes and shorter apical cells (cells 3–5.7 μm wide; 4–14.5 μm long according to Komárek and Anagnostidis 2005), but descriptions in the literature are incomplete and photomicrographs are missing for reliable comparison. Since M. lacustris was described from a close geographical location (Massachusetts, Middlesex, Newton, USA) we made attempts to obtain the herbarium material (Farlow et al. 1889, catalogue numbers SD00007515 and Y.U095815) but it was not available for sequencing. Limnofasciculus baicalensis is geographically distant (benthic species in Lake Baikal, Russia) and morphologically different. The mats and cells are reddish; the trichomes are wider (7–11.6 μm according to Sorokovikova et al. 2023) and group in smaller fascicles with less than 10 trichomes in a common sheath.
Environmental data: Site NF11 (12 June 2024)—conductivity 404.2–436 μS/cm, salinity 0.19–0.21 PSU, pH 7.95–8.24, water temperature 18.09°C–19.97°C, dissolved oxygen 8.29–10.77 mg/L. Sites SF2 and SF3 (26 June 2024)– conductivity 386.8–408.1 μS/cm, salinity 0.18–0.19 PSU, pH 8.16–8.39, water temperature 23.26°C–25.03°C, dissolved oxygen 7.49–9.53 mg/L.
4. Discussion
Our study adds a second freshwater species to a recently described genus Limnofasciculus (Sorokovikova et al. 2023) and contributes to resolving taxonomic ambiguity within Coleofasciculaceae, a lineage undergoing rapid revision (Strunecký et al. 2023). Morphologically, both Limnofasciculus species have similar thallus and trichome characteristics, except for the strikingly different cell colour (red vs. cyan). The pigment composition in Limnofasciculus was not analysed by Sorokovikova et al. (2023) or in the present study; however, the observed differences in coloration are likely due to varying proportions of phycobiliproteins (phycocyanin and phycoerythrocyanin), as previously reported for several genera within the family Coleofasciculaceae (Fernandes et al. 2021).
Currently, there are 19 genera and 44 species within Coleofasciculaceae (Guiry and Guiry 2026) showing variable morphology of the trichomes and the extracellular polysaccharide sheaths. Yet, their trichomes are always unbranched, lack specialized cells such as heterocytes or spores and are composed of typically constricted cells with apical cells lacking a calyptra (Fernandes et al. 2021; Strunecký et al. 2023; Sorokovikova et al. 2023). Bushy colonies composed of fascicles with parallel trichomes in colourless sheath; blue‐green elongated cells with variable degree of constrictions at cell walls and conical to bullet‐shaped, tapering apical are morphological features shared between Limnofasciculus delicatus and other genera within Coleofasciculaceae, such as Coleofasciculus (Siegesmund et al. 2008), Funiculus (Fernandes et al. 2021), Karukerafilum (Halary et al. 2024), Paludothrix (Wu et al. 2024) and Symbiothallus (Chen et al. 2025). Despite some morphological similarities, these taxa have different ecology; they were described from marine habitats, mangroves ecosystems, soil crusts, wetlands and fungus‐cyanobacterium symbiosis from subtropical forest. Ecological and habitat characteristics play a critical role in cyanobacterial taxonomy (Johansen and Casamatta 2005). These ecological traits provide important complementary evidence to phylogenetic data and contribute significantly to species delimitation and taxonomic resolution in cyanobacteria (Komárek et al. 2014; Komárek 2016).
The genus Limnofasciculatus is reported from freshwater aquatic ecosystems only—the Lake Baikal (Sorokovikova et al. 2023) and flowing waters in Northern Virginia, USA (this study). The recovery of L. delicatus in the North Fork of the Shenandoah River in 2024 and in the South Fork of the Shenandoah River in 2025, despite their spatial separation and temporal offset, indicates that the benthic cyanobacterium is not a transient or episodic occurrence but rather a persistent component of the riverine microbial community. This temporal and geographical continuity suggests that L. delicatus is well adapted to the environmental conditions of the Shenandoah River and capable of maintaining stable populations across seasons and river segments.
Our findings expand the known ecological breadth of this recently described genus. In contrast to L. baicalensis (Sorokovikova et al. 2023) and Limnofasciculus sp. NSOLA‐1 (Valadez‐Cano, Reyes‐Prieto, et al. 2025; Valadez‐Cano, Tromas, et al. 2025), which have been identified in lentic environments, L. delicatus was consistently recovered from a lotic system. This distinction suggests that members of the genus occupy a broader range of hydrological niches than previously recognized and that adaptation to flowing‐water environments has likely occurred within Limnofasciculus. Our analyses further highlight ecological differentiation among closely related filamentous cyanobacteria, as Limnofasciculus species have thus far been observed in freshwater environments, whereas the related genus Coleofasciculus has been predominantly reported from marine microbial mats (Siegesmund et al. 2008; Marter et al. 2025). Although additional sampling is required to robustly resolve ecological boundaries between these genera, current evidence points to divergent habitat specialization.
Despite this ecological differentiation, L. delicatus and L. baicalensis exhibited high 16S rRNA gene sequence similarity (99.3%), a value that falls within the range commonly observed among members of the same bacterial species (Hackmann 2025). However, species delimitation based solely on 16S rRNA gene similarity relies on lineage‐specific thresholds that should be regarded as guideline values rather than fixed criteria (Dvořák et al. 2023). Accordingly, whole‐genome–based species delimitation using ANI and dDDH clearly supports the classification of these taxa as distinct species when evaluated against established genomic thresholds. According to the current concept of cyanobacterial taxonomy (Dvořák et al. 2025; Riesco and Trujillo 2024), 95% ANI and 70% dDDH are a standard species delineation threshold. While the 16S rRNA gene remains a valuable marker for higher‐level phylogenetic placement, its conservative evolutionary rate limits its resolving power at the species level (Jain et al. 2018). In contrast, genome‐wide metrics such as ANI and dDDH capture variations across the entire genome and provide substantially higher resolution among closely related taxa (Jain et al. 2018).
The results of the secondary structures of the D1–D1′ helix and Box‐B helix from the 16 S–23 S ITS region showed that the D1–D1′ helices were identical in both Limnofasciculus taxa, while the Box B helices revealed sequence divergence that produced clear structural differences in their terminal loops: four substitutions in L. baicalensis reduced the terminal loop to four nucleotides, compared with the 10‐nucleotide loop observed the L. delicatus . Similarly, the analysis of the secondary structures of the 16 S–23 S ITS region in recently described Microcoleus anatoxicus Stancheva & K. Y. Conklin from California (USA) showed a single nucleotide difference in D1–D1′ helix and no nucleotide differences in the Box‐B helix compared to the genetically closest Microcoleus strain from New Zealand (Conklin et al. 2020). Due to difficulties using ITS rRNA regions for taxonomy purposes discussed by Villanueva et al. (2024) we used the secondary structure dissimilarity comparison only as an optional supporting criterion for species delineation, as recommended by Dvořák et al. (2025). However, our study contributed data that can be applicable in future use of ITS variation in relation to interspecific divergence within Limnofasciculus. For example, Siegesmund et al. (2008), who analysed a large dataset of laboratory cultures of Coleofasciculus, concluded that ITS secondary structure was congruent with 16S rRNA gene phylogenies and helpful in revealing additional evolutionary diversity within the species cluster of C. chthonoplastes.
Comparative genomic analyses further revealed that approximately 70% of the genomes of L. delicatus and L. baicalensis are shared and composed largely of highly conserved functional genes, indicating the presence of a substantial core genome within the genus. Despite this high degree of genomic conservation, the two species differed markedly in their predicted secondary metabolite biosynthetic potential. Notably, L. delicatus was predicted to allocate approximately twice the genomic fraction to secondary metabolite biosynthesis compared to L. baicalensis and the composition of predicted secondary metabolite gene clusters differed substantially between the two species. Given the well‐established ecological roles of secondary metabolites in mediating microbial interactions, competition and habitat adaptation (Vining 2007), these differences suggest that the two species produce distinct suites of metabolites with potentially divergent ecological functions.
No BGCs associated with the production of known cyanotoxins were identified in any Limnofasciculus genome analysed, which is consistent with the absence of anatoxin detection in most samples, with exception of sample SF2. Anatoxins detection in mats dominated by non‐toxigenic cyanobacteria has been reported previously and attributed to the persistence of toxigenic species in the environment (Valadez‐Cano, Tromas, et al. 2025). Similarly, trace levels of anatoxin‐a were detected in field mats dominated by the saxitoxin‐producing cyanobacterium Microseira wollei, but their source was uncertain and likely attributable to other cyanobacteria present within the mats (Smith et al. 2019). Although the toxigenic potential of Limnofasciculus cannot be ruled out and further sampling is required, its cooccurrence with anatoxin‐producing Microcoleus (Valadez‐Cano, Tromas, et al. 2025) may lead to misleading interpretations of anatoxin presence in L. delicatus ‐dominated mats if the full community composition is not considered.
Previous studies have suggested that anatoxin‐producing Microcoleus lineages exhibit genome streamlining and may depend on metabolic interactions with coexisting non‐toxigenic Microcoleus or phylogenetically distinct cyanobacteria (Tee et al. 2021; Valadez‐Cano, Reyes‐Prieto, et al. 2025; Valadez‐Cano, Tromas, et al. 2025). For example, mats producing homoanatoxin‐a were strongly associated with the presence of Limnofasciculus sp. NSOLA‐1 (Valadez‐Cano, Reyes‐Prieto, et al. 2025; Valadez‐Cano, Tromas, et al. 2025). Collectively, these observations suggest that members of the genus Limnofasciculus may play an indirect yet relevant role in anatoxin‐producing benthic mats, potentially through metabolic complementation or ecological facilitation, a hypothesis that warrants targeted experimental and genomic investigation. On the other hand, the interactions with Microcoleus and other mat‐invaders may not be beneficial for Limnofascisulus growth, as indicated by the presence of terpene‐associated clusters and azole‐containing RiPPs in its genome, which have distinct chemical defence roles helping compete for resources and protecting ecological niches from competitors (Martins and Vasconcelos 2015; Machado et al. 2025).
Author Contributions
Janice Lawrence: conceptualization, investigation, writing – original draft, methodology, supervision. Gordon M. Selckmann: funding acquisition, writing – review and editing. A. Bruce Cahoon: conceptualization, investigation, funding acquisition, writing – original draft, methodology, writing – review and editing, formal analysis, supervision. Rosalina Stancheva: conceptualization, investigation, funding acquisition, writing – original draft, methodology, visualization, writing – review and editing, formal analysis, supervision. Cecilio Valadez‐Cano: conceptualization, investigation, writing – original draft, methodology, validation, visualization, writing – review and editing, formal analysis, data curation. Benoit Van Aken: formal analysis, writing – review and editing, funding acquisition.
Funding
This research was funded in part by 4‐VA, a Collaborative Partnership for Advancing the Commonwealth of Virginia grant number (M13706), and the Virginia Interstate Commission on The Potomac River Basin (grant number: 224436) and VA Department of Environmental Quality as part of the project Investigation of Drivers of Harmful Algal Blooms on the Shenandoah River. Partial support was provided by research Grant # 2222322, which was awarded to Dr. Rosalina Stancheva (Co‐PI) by the United States National Science Foundation. We thank both anonymous reviewers and the editor Dr. Astha Nautiyal for the valuable comments which have helped us improve the presentation of our study.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Figure S1: Maximum‐likelihood phylogeny based on 16S rRNA gene sequences of Limnofasciculus delicatus from the North (2014) and South Fork of Shenandoah River (2025) and representative cyanobacterial taxa.
Figure S2: Light micrographs of Limnofasciculus delicatus mat from Shenandoah River mixed with Microcoleus filament (arrows). Scale bar = 10 μm
Acknowledgements
The authors wish to express their sincere thanks to George Mason University graduate students Jacob Mormando for collecting field cyanobacterial specimens, Sydney Stubler for the help with the microscopy and Stephanie P. Jaskiewicz for the toxin analysis. We would like to thank Dr. Michael Guiry for the taxonomic consultation on the species epithet.
Data Availability Statement
The data that support the findings of this study are available in GenBank at https://www.ncbi.nlm.nih.gov, reference number PZ400688. These data were derived from the following resources available in the public domain: Bioproject PRJNA1419196, https://www.ncbi.nlm.nih.gov/genbank/—PZ400688, https://www.ncbi.nlm.nih.gov.
References
- Aparicio‐Muriana, M. M. , Carmona‐Molero R., Lara F. J., García‐Campaña A. M., and Del Olmo‐Iruela M.. 2022. “Multiclass Cyanotoxin Analysis in Reservoir Waters: Tandem Solid‐Phase Extraction Followed by Zwitterionic Hydrophilic Interaction Liquid Chromatography‐Mass Spectrometry.” Talanta 237: 122929. 10.1016/j.talanta.2021.122929. [DOI] [PubMed] [Google Scholar]
- Bankevich, A. , Nurk S., Antipov D., et al. 2012. “SPAdes: A New Genome Assembly Algorithm and Its Applications to Single‐Cell Sequencing.” Journal of Computational Biology 19: 455–477. 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blin, K. , Shaw S., Kloosterman A. M., et al. 2021. “antiSMASH 6.0: Improving Cluster Detection and Comparison Capabilities.” Nucleic Acids Research 49: W29–W35. 10.1093/nar/gkab335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buchanan, C. , Selckmann G. M., Moltz H., and Davis C.. 2021. “Rapid Response Survey of Cyanobacteria Toxin Levels Downstream of North Fork Shenandoah River Algal Bloom After Tropical Storm Ida, 2021.” Interstate Commission on the Potomac River Basin. https://www.potomacriver.org/wp‐content/uploads/2021/10/ICPRB_Rapid_Response_to_TS_Ida_FINAL3.pdf.
- Callahan, B. J. , Wong J., Heiner C., et al. 2019. “High‐Throughput Amplicon Sequencing of the Full‐Length 16S rRNA Gene With Single‐Nucleotide Resolution.” Nucleic Acids Research 47: e103. 10.1093/nar/gkz569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chaumeil, P.‐A. , Mussig A. J., Hugenholtz P., and Parks D. H.. 2022. “GTDB‐Tk v2: Memory Friendly Classification With the Genome Taxonomy Database.” Bioinformatics 38: 5315–5316. 10.1093/bioinformatics/btac672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, C. C. , Xie Q. Y., Chuang P. S., et al. 2025. “A Thallus‐Forming N‐Fixing Fungus‐Cyanobacterium Symbiosis From Subtropical Forests.” Science Advances 11, no. 7: eadt4093. 10.1126/sciadv.adt4093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, S. , Zhou Y., Chen Y., and Gu J.. 2018. “Fastp: An Ultra‐Fast All‐In‐One FASTQ Preprocessor.” Bioinformatics Oxford 34: i884–i890. 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chivian, D. , Jungbluth S. P., Dehal P. S., et al. 2023. “Metagenome‐Assembled Genome Extraction and Analysis From Microbiomes Using KBase.” Nature Protocols 18: 208–238. 10.1038/s41596-022-00747-x. [DOI] [PubMed] [Google Scholar]
- Conklin, K. Y. , Stancheva R., Otten T., et al. 2020. “Molecular and Morphological Characterization of a Novel Dihydroanatoxin‐A Producing Microcoleus Species (Cyanobacteria) From the Russian River, California, USA.” Harmfulalgae 93: 101767. [DOI] [PubMed] [Google Scholar]
- Dvořák, P. , Jahodářová E., Stanojković A., and Casamatta D. A.. 2023. “Population Genomics Meets the Taxonomy of Cyanobacteria.” Algal Research 72: 103128. 10.1016/j.algal.2023.103128. [DOI] [Google Scholar]
- Dvořák, P. , Skoupý S., Stanojković A., et al. 2025. “A Hitchhiker's Guide to Modern, Practical Cyanobacterial Taxonomy.” Journal of Phycology 616: 1536–1552. 10.1111/jpy.70102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Edgar, R. C. 2004. “MUSCLE: Multiple Sequence Alignment With High Accuracy and High Throughput.” Nucleic Acids Research 32, no. 5: 1792–1797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Emms, D. M. , and Kelly S.. 2015. “OrthoFinder: Solving Fundamental Biases in Whole Genome Comparisons Dramatically Improves Orthogroup Inference Accuracy.” Genome Biology 16: 157. 10.1186/s13059-015-0721-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Emms, D. M. , and Kelly S.. 2019. “OrthoFinder: Phylogenetic Orthology Inference for Comparative Genomics.” Genome Biology 20: 238. 10.1186/s13059-019-1832-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farlow, W. G. , Anderson C. L., and Eton D. C.. 1889. Algae Exiccatae Americae Borealis. Fasc. 5. Nos 181‐230. https://macroalgae.org/portal/collections/exsiccati/index.php?omenid=15338. [Google Scholar]
- Fernandes, V. M. C. , Giraldo‐Silva A., Roush D., and Garcia‐Pichel F.. 2021. “Coleofasciculaceae, a Monophyletic Home for the Microcoleus steenstrupii Complex and Other Desiccation‐Tolerant Filamentous Cyanobacteria.” Journal of Phycology 575: 1563–1579. 10.1111/jpy.13199. [DOI] [PubMed] [Google Scholar]
- Gerhardt, K. , Ruiz‐Perez C. A., Rodriguez‐R L. M., et al. 2025. “FastAAI: Efficient Estimation of Genome Average Amino Acid Identity and Phylum‐Level Relationships Using Tetramers of Universal Proteins.” Nucleic Acids Research 53, no. 8: gkaf348. 10.1093/nar/gkaf348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guiry, M. D. , and Guiry G. M.. 2026. “AlgaeBase.” World‐Wide Electronic Publication, University of Galway. https://www.algaebase.org.
- Hackmann, T. J. 2025. “Setting New Boundaries of 16S rRNA Gene Identity for Prokaryotic Taxonomy.” International Journal of Systematic and Evolutionary Microbiology 75, no. 4: 006747. 10.1099/ijsem.0.006747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Halary, S. , Duval C., Marie B., et al. 2024. “Genomes of Nine Biofilm‐Forming Filamentous Strains of Cyanobacteria (Genera Jaaginema, Scytonema, and Karukerafilum Gen. Nov.) Isolated From Mangrove Habitats of Guadeloupe (Lesser Antilles).” FEMS Microbes 5: xtad024. 10.1093/femsmc/xtad024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoang, D. T. , Chernomor O., Von Haeseler A., Minh B. Q., and Vinh L. S.. 2018. “UFBoot2: Improving the Ultrafast Bootstrap Approximation.” Molecular Biology and Evolution 35: 518–522. 10.1093/molbev/msx281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hyatt, D. , Chen G.‐L., Locascio P. F., Land M. L., Larimer F. W., and Hauser L. J.. 2010. “Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification.” BMC Bioinformatics 11: 119. 10.1186/1471-2105-11-119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jain, C. , Rodriguez‐R L. M., Phillippy A. M., Konstantinidis K. T., and Aluru S.. 2018. “High Throughput ANI Analysis of 90K Prokaryotic Genomes Reveals Clear Species Boundaries.” Nature Communications 9: 5114. 10.1038/s41467-018-07641-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johansen, J. R. , and Casamatta D. A.. 2005. “Recognizing Cyanobacterial Diversity Through Adoption of a New Species Paradigm.” Algological Studies 117: 71–93. 10.1127/1864-1318/2005/0117-0071. [DOI] [Google Scholar]
- Jusko, B. M. , Johansen J. R., Mehda S., Perona E., and Muñoz‐Martín M. Á.. 2024. “Four Novel Species of Kastovskya Coleofasciculaceae, Cyanobacteriota From Three Continents With a Taxonomic Revision of Symplocastrum .” Diversity 16, no. 8: 474. 10.3390/d16080474. [DOI] [Google Scholar]
- Kalyaanamoorthy, S. , Minh B. Q., Wong T. K. F., von Haeseler A., and Jermiin L. S.. 2017. “ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates.” Nature Methods 14: 587–589. 10.1038/nmeth.4285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kanehisa, M. , and Goto S.. 2000. “KEGG: Kyoto Encyclopedia of Genes and Genomes.” Nucleic Acids Research 28: 27–30. 10.1093/nar/28.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kanehisa, M. , Sato Y., and Morishima K.. 2016. “BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences.” Journal of Molecular Biology 428: 726–731. 10.1016/j.jmb.2015.11.006. [DOI] [PubMed] [Google Scholar]
- Kang, D. D. , Froula J., Egan R., and Wang Z.. 2015. “MetaBAT, an Efficient Tool for Accurately Reconstructing Single Genomes From Complex Microbial Communities.” PeerJ 3: e1165. 10.7717/peerj.1165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katoh, K. , and Standley D. M.. 2013. “MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability.” Molecular Biology and Evolution 30: 772–780. 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kelly, L. T. , Wood S. A., Bouma‐Gregson K., et al. 2026. “The Global Proliferation of Aquatic, Benthic Microcoleus: Taxonomy, Distribution, Toxin Production, Ecology and Future Directions.” Water Research 294: 125441. 10.1016/j.watres.2026.125441. [DOI] [PubMed] [Google Scholar]
- Komárek, J. 2016. “A Polyphasic Approach for the Taxonomy of Cyanobacteria: Principles and Applications.” European Journal of Phycology 51, no. 3: 346–353. 10.1080/09670262.2016.1163738. [DOI] [Google Scholar]
- Komárek, J. , and Anagnostidis K.. 2005. “Cyanoprokaryota, Teil 2: Oscillatoriales.” In Süßwasserflora von Mitteleuropa, Bd. 19/2, edited by Büdel B., Gärtner G., Krienitz L., and Schagerl M., 759. Spektrum. [Google Scholar]
- Komárek, J. , Kaštovský J., Mareš J., and Johansen J. R.. 2014. “Taxonomic Classification of Cyanoprokaryotes (Cyanobacterial Genera) 2014, Using a Polyphasic Approach.” Preslia 86: 295–335. https://www.preslia.cz/P144Komarek.pdf. [Google Scholar]
- Konstantinidis, K. T. , and Tiedje J. M.. 2005. “Towards a Genome‐Based Taxonomy for Prokaryotes.” Journal of Bacteriology 187: 6258–6264. 10.1128/JB.187.18.6258-6264.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Labrada, A. N. , McGovern A. C., Thomas L. A., Hurley C. A., Mooney R. M., and Casamatta A. D.. 2024. “The CIMS Cyanobacterial ITS Motif Slicer for Molecular Systematics.” Fottea 24: 23–26. 10.5507/fot.2023.008. [DOI] [Google Scholar]
- Lane, D. J. 1991. “16S/23S rRNA Sequencing.” In Nucleic Acid Techniques in Bacterial Systematics, edited by Stackebrandt E. and Goodfellow M., 115–175. John Wiley and Sons. [Google Scholar]
- Machado, M. J. , Jacinavicius F. R., Médice R. V., et al. 2025. “Genetic and Biochemical Diversity of Terpene Biosynthesis in Cyanobacterial Strains From Tropical Soda Lakes.” Frontiers in Microbiology 16: 1582103. 10.3389/fmicb.2025.1582103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marter, P. , Freese H. M., Ringel V., et al. 2025. “Superior Resolution Profiling of the Coleofasciculus Microbiome by Amplicon Sequencing of the Complete 16S rRNA Gene and ITS Region.” Environmental Microbiology Reports 17: e70066. 10.1111/1758-2229.70066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martins, J. , and Vasconcelos V.. 2015. “Cyanobactins From Cyanobacteria: Current Genetic and Chemical State of Knowledge.” Marine Drugs 1311: 6910–6946. 10.3390/md13116910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meier‐Kolthoff, J. P. , Auch A. F., Klenk H.‐P., and Göker M.. 2013. “Genome Sequence‐Based Species Delimitation With Confidence Intervals and Improved Distance Functions.” BMC Bioinformatics 14: 60. 10.1186/1471-2105-14-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Minh, B. Q. , Schmidt H. A., Chernomor O., et al. 2020. “IQ‐TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.” Molecular Biology and Evolution 37: 1530–1534. 10.1093/molbev/msaa015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nissen, J. N. , Johansen J., Allesøe R. L., et al. 2021. “Improved Metagenome Binning and Assembly Using Deep Variational Autoencoders.” Nature Biotechnology 39: 555–560. 10.1038/s41587-020-00777-4. [DOI] [PubMed] [Google Scholar]
- Parks, D. H. , Chuvochina M., Rinke C., Mussig A. J., Chaumeil P.‐A., and Hugenholtz P.. 2022. “GTDB: An Ongoing Census of Bacterial and Archaeal Diversity Through a Phylogenetically Consistent, Rank Normalized and Complete Genome‐Based Taxonomy.” Nucleic Acids Research 50: D785–D794. 10.1093/nar/gkab776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parks, D. H. , Imelfort M., Skennerton C. T., Hugenholtz P., and Tyson G. W.. 2015. “CheckM: Assessing the Quality of Microbial Genomes Recovered From Isolates, Single Cells, and Metagenomes.” Genome Research 25: 1043–1055. 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Radzi, R. , Merican F., Broady P., et al. 2021. “First Record of the Cyanobacterial Genus Wilmottia (Coleofasciculaceae, Oscillatoriales) From the South Orkney Islands (Antarctica).” Algae 362: 111–121. 10.4490/algae.2021.36.5.6. [DOI] [Google Scholar]
- Richter, M. , and Rosselló‐Móra R.. 2009. “Shifting the Genomic Gold Standard for the Prokaryotic Species Definition.” Proceedings of the National Academy of Sciences 106: 19126–19131. 10.1073/pnas.0906412106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Riesco, R. , and Trujillo M. E.. 2024. “Update on the Proposed Minimal Standards for the Use of Genome Data for the Taxonomy of Prokaryotes.” International Journal of Systematic and Evolutionary Microbiology 743: 006300. 10.1099/ijsem.0.006300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rodriguez‐R, L. M. , and Konstantinidis K. T.. 2014. “Bypassing Cultivation to Identify Bacterial Species.” Microbe 9: 111–118. https://www.semanticscholar.org/paper/Bypassing‐Cultivation‐To‐Identify‐Bacterial‐Species‐Konstantinidis/6e69f25ed9daac65ed59836d34ccb18e6f8df141. [Google Scholar]
- Sato, K. , Kato Y., Hamada M., Akutsu T., and Asai K.. 2011. “IPknot: Fast and Accurate Prediction of RNA Secondary Structures With Pseudoknots Using Integer Programming.” Bioinformatics 27: i85–i93. 10.1093/bioinformatics/btr215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sieber, C. M. K. , Probst A. J., Sharrar A., et al. 2018. “Recovery of Genomes From Metagenomes via a Dereplication, Aggregation and Scoring Strategy.” Nature Microbiology 3: 836–843. 10.1038/s41564-018-0171-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Siegesmund, M. A. , Johansen J. R., Karsten U., and Friedl T.. 2008. “ Coleofasciculus Gen. Nov. Cyanobacteria: Morphological and Molecular Criteria for Revision of the Genus Microcoleus Gomont.” Journal of Phycology 446: 1572–1585. 10.1111/j.1529-8817.2008.00604.x. [DOI] [PubMed] [Google Scholar]
- Smith, Z. J. , Martin R. M., Wei B., Wilhelm S. W., and Boyer G. L.. 2019. “Spatial and Temporal Variation in Paralytic Shellfish Toxin Production by Benthic Microseira (Lyngbya) wollei in a Freshwater New York Lake.” Toxins 11: 44. 10.3390/toxins11010044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sorokovikova, E. , Tikhonova I., Evseev P., et al. 2023. “ Limnofasciculus baicalensis Gen. et sp. Nov. Coleofasciculaceae, Coleofasciculales: A New Genus of Cyanobacteria Isolated From Sponge Fouling in Lake Baikal, Russia.” Microorganisms 111779: 1–24. 10.3390/microorganisms11071779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strunecký, O. , Ivanova A. P., and Mareš J.. 2023. “An Updated Classification of Cyanobacterial Orders and Families Based on Phylogenomic and Polyphasic Analysis.” Journal of Phycology 591: 12–51. 10.1111/jpy.13304. [DOI] [PubMed] [Google Scholar]
- Tee, H. S. , Wood S. A., Bouma‐Gregson K., Lear G., and Handley K. M.. 2021. “Genome Streamlining, Plasticity, and Metabolic Versatility Distinguish Co‐Occurring Toxic and Nontoxic Cyanobacterial Strains of Microcoleus.” MBio 12: e0223521. 10.1128/mBio.02235-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trifinopoulos, J. , Nguyen L.‐T., Von Haeseler A., and Minh B. Q.. 2016. “W‐IQ‐TREE: A Fast Online Phylogenetic Tool for Maximum Likelihood Analysis.” Nucleic Acids Research 44: W232–W235. 10.1093/nar/gkw256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- US Geological Survey . 2025. “National Hydrography Dataset.” Accessed January 17, 2026. https://www.usgs.gov/national‐hydrography/national‐hydrography‐dataset.
- Valadez‐Cano, C. , Reyes‐Prieto A., Beach D. G., Rafuse C., McCarron P., and Lawrence J.. 2023. “Genomic Characterization of Coexisting Anatoxin‐Producing and Non‐Toxigenic Microcoleus Subspecies in Benthic Mats From the Wolastoq, New Brunswick, Canada.” Harmful Algae 124: 102405. 10.1016/j.hal.2023.102405. [DOI] [PubMed] [Google Scholar]
- Valadez‐Cano, C. , Reyes‐Prieto A., Johnston L., et al. 2025. “The Co‐Existence of Microcoleus Strains With Gene Variations in the Anatoxin‐a Biosynthesis Cluster Can Explain the Different Toxin Profiles Observed in Freshwater Benthic Mats.” Toxicon 264: 108461. 10.1016/j.toxicon.2025.108461. [DOI] [PubMed] [Google Scholar]
- Valadez‐Cano, C. , Tromas N., Reyes‐Prieto A., et al. 2025. “Genetic Diversity and Anatoxin Profiles of Freshwater Benthic Cyanobacteria From Nova Scotia Canada.” Environmental Microbiology 27: e70067. 10.1111/1462-2920.70067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Villanueva, C. D. , Bohunická M., and Johansen J. R.. 2024. “We Are Doing It Wrong: Putting Homology Before Phylogeny in Cyanobacterial Taxonomy.” Journal of Phycology 60: 1071–1089. 10.1111/jpy.13491. [DOI] [PubMed] [Google Scholar]
- Vining, L. C. 2007. “Roles of Secondary Metabolites From Microbes.” In Ciba Foundation Symposium 171—Secondary Metabolites: Their Function and Evolution, edited by Chadwick D. J. and Whelan J., 184–198. John Wiley and Sons, Ltd. 10.1002/9780470514344.ch11. [DOI] [PubMed] [Google Scholar]
- Virginia Department of Environmental Quality . 2021. “Harmful Algae Blooms in Virginia.” https://rga.lis.virginia.gov/Published/2021/RD411/PDF.
- Virginia Department of Environmental Quality . 2023. “Investigation of Drivers of Harmful Algal Blooms on the Shenandoah River, Virginia.” https://www.deq.virginia.gov/home/showpublisheddocument/18887/638251831167970000.
- Virginia Department of Environmental Quality . 2026. “Harmful Algal Blooms.” https://www.deq.virginia.gov/news‐info/shortcuts/topics‐of‐interest/harmful‐algal‐blooms.
- Wood, S. A. , Kelly L., Bouma‐Gregson K., et al. 2020. “Toxic Benthic Freshwater Cyanobacterial Proliferations: Challenges and Solutions for Enhancing Knowledge and Improving Monitoring and Mitigation.” Freshwater Biology 65: 1824–1841. 10.1111/fwb.13532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, Y. Y. , Cheng Y., Zhang H., et al. 2024. “Discovery of a New Cyanobacterial Genus (Paludothrix gen. nov.) From the Sanyang Wetland in Eastern China, Reflecting the Latest Taxonomic Status in Coleofasciculaceae.” Diversity 171, no. 15: 1–16. 10.3390/d17010015. [DOI] [Google Scholar]
- Wu, Y.‐W. , Simmons B. A., and Singer S. W.. 2016. “MaxBin 2.0: An Automated Binning Algorithm to Recover Genomes From Multiple Metagenomic Datasets.” Bioinformatics 32: 605–607. 10.1093/bioinformatics/btv638. [DOI] [PubMed] [Google Scholar]
- Zreitz . 2024. “zreitz/multismash: v0.4.0.” 10.5281/zenodo.13737732. [DOI]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1: Maximum‐likelihood phylogeny based on 16S rRNA gene sequences of Limnofasciculus delicatus from the North (2014) and South Fork of Shenandoah River (2025) and representative cyanobacterial taxa.
Figure S2: Light micrographs of Limnofasciculus delicatus mat from Shenandoah River mixed with Microcoleus filament (arrows). Scale bar = 10 μm
Data Availability Statement
The data that support the findings of this study are available in GenBank at https://www.ncbi.nlm.nih.gov, reference number PZ400688. These data were derived from the following resources available in the public domain: Bioproject PRJNA1419196, https://www.ncbi.nlm.nih.gov/genbank/—PZ400688, https://www.ncbi.nlm.nih.gov.
