Abstract
Background
A new cassava disease outbreak was identified in indigenous communities in Oiapoque, Amapá, Brazil, characterized by stunting, proliferation of thin shoots, broom-like leaf formations, and apical dieback. These symptoms are consistent with Cassava Witches’ Broom Disease (CWBD), previously reported in other regions of South America and Asia.
Methods
Metagenomic profiling, molecular diagnostics, phylogenetic analyses, and multilocus genotyping were used to investigate microbial communities associated with symptomatic cassava plants.
Results
Rhizoctonia (Ceratobasidium) theobromae was identified as the predominant fungal species associated with symptomatic plants. Genetic analyses indicated a close relationship between Brazilian isolates and Asian reference strains, suggesting a possible transcontinental introduction and supporting an association between R. theobromae and CWBD. This represents the first confirmed report of R. theobromae in Brazil, expanding its known geographic distribution in the Americas.
Conclusion
The detection of this quarantine pathogen represents a potential threat to cassava production, food security, and preservation of indigenous cassava landraces in Brazil. These findings reinforce the need for surveillance, phytosanitary measures, and further studies on emerging fungal pathogens associated with cassava diseases.
Keywords: Amazon region, cassava, Ceratobasidium theobromae, emerging plant disease, phylogenetics, quarantine pest, witches’ broom disease
1. Introduction
Cassava (Manihot esculenta Crantz) is the primary food source for approximately one billion people across 105 nations in the tropics and has substantial economic and social value, particularly in developing nations (Bayata, 2019; Muiruri et al., 2021). In recent years, it has been increasingly utilized as a source of bioenergy, starch, biopolymers, and beyond (Fathima et al., 2023). Brazil is the sixth largest producer of cassava tuberous roots in the world, with a production of 17.82 million tons (FAO, 2022), which is almost exclusively produced to satisfy domestic market demands. Thus, cassava is a vital source of food and income for Brazilians. A hitherto unknown disease is affecting cassava in the indigenous lands of the Oiapoque region in Brazil, bordering French Guiana, presenting a serious threat to the livelihoods of people relying on cassava as their main diet. The XXIX Assembly for the Evaluation and Planning of Indigenous People and Organizations in the municipality of Oiapoque, Amapá, Brazil convened in 2023 and requested urgent action to investigate the origin of the disease and provide solutions to mitigate its impact. Cassava grown in the forest exhibited abnormal growth with deformed leaves on the shoots. Short internodes and clustered leaves produce broom-like structures typical of cassava witches’ broom disease (CWBD). Leaf yellowing and vascular necrosis are further symptoms of the disease. Previously, similar symptoms have been observed in cassava grown in Southeast Asia (SEA) (Pardo et al., 2023) and recently, were also reported in French Guiana (Pardo et al., 2024). Eventually, the disease leads to the decline and wilting of leaves and stems, resulting in very thin and small roots.
A cassava witches’ broom-like disease was already reported in the 1940s from Brazil (Silberschmidt and Campos, 1944). Subsequent studies associated the so-called “oversprouting” symptoms with phytoplasmas belonging to the 16SrIII-B group (Previous studies associated cassava oversprouting in Brazil with 16SrIII-B phytoplasmas (Silberschmidt and Campos, 1944; Flôres et al., 2013). Oversprouting is characterized primarily by generalized shoot proliferation, chlorosis, and leaf deformation, without reports of consistent vascular necrosis. In contrast, the new cassava disease observed in Oiapoque is marked not only by shoot proliferation, but also by pronounced vascular necrosis, wilting, and progressive plant decline, ultimately leading to death. Cassava affected by CWBD in Southeast Asia (SEA), including Cambodia, Laos, Vietnam, Thailand, and the Philippines, was initially considered a phytoplasma-associated disease (Pardo et al., 2023). However, subsequent studies suggest the association of Rhizoctonia theobromae with the disease.
Using high-throughput sequencing (HTS), fungal isolation, and culture-based approaches, Leiva et al. (2023) and Gil-Ordóñez et al. (2024) identified R. theobromae (syn. Ceratobasidium theobromae) in symptomatic cassava plants from Southeast Asia. High-resolution microscopy revealed fungal colonization of xylem tissues associated with vascular necrosis (Gil-Ordóñez et al., 2024), while transmission through wedge grafting further supported its association with CWBD (Leiva et al., 2023). Similarly, Landicho et al. (2024), using PCR and HTS, reported that microbial communities in CWBD-affected cassava from the Philippines were dominated by R. theobromae sequences.
Our research on CWBD in cassava from Oiapoque was guided by these previous findings. To investigate the microbial communities associated with diseased cassava, we employed a high-throughput sequencing (HTS) approach for metagenomic analysis. A large portion of the DNA sequences not mapped to the cassava genome corresponded to R. theobromae, although sequences from other microorganisms were also detected. In addition, genetic analyses based on Ca2+/calmodulin-dependent protein kinase (CAMK/CAMKL) sequences were performed to compare Brazilian isolates with reference isolates from other geographic regions. The CAMK/CAMKL locus was selected because it has been previously validated for species-specific detection of R. theobromae (Leiva et al., 2023; Gil-Ordóñez et al., 2024) and represents one of the few loci currently available in public repositories for comparative analyses across geographic regions.
2. Materials and methods
Fifty samples were collected from cassava fields in Kuai Kuai, Ariramba, Galibi, Lençol, Ahumã, Anawerá and Yanawaká, in the Oiapoque Region, Amapá, Brazil (Figure 1). Cassava fields in the indigenous territories of Amapá are established within small forest clearings locally known as “roça de toco”. Plants are distributed irregularly according to traditional agricultural practices. Because of this irregular planting pattern, structured transect-based sampling was not feasible. Therefore, a cross-sectional sampling strategy was adopted, collecting symptomatic and asymptomatic plants opportunistically across each field. Field sizes ranged from 0.1 to 1.2 ha.
Figure 1.
Collection of cassava samples from diseased plants in Kuai Kuai, Ariramba, Galibi, Lençol, Ahumã, Anawerá, and Yanawaká. Red dots indicate collection sites.
Sampling was conducted between September 18–23, 2023, with additional collections conducted during the subsequent rainy season in 2024. Fields consisted of mixed local landraces, with 3–5 cassava varieties cultivated within the same field. According to reports from indigenous farmers, prior to the outbreak, up to 68 distinct local genotypes were traditionally cultivated within the same community areas. At the time of sampling, plants ranged from 4–8 months of age.
Leaves, petioles, and stems from symptomatic cassava plants were collected (Table 1) Following SISGEN registration (AFB8348), samples were packaged in sealed containers and transported to Embrapa Mandioca e Fruticultura in Cruz das Almas, Bahia, Brazil.
Table 1.
Overview of samples collected from different villages in 2023.
| Pool | Sample n° | Symptoms | Village | Tissue | Collection year |
|---|---|---|---|---|---|
| Asymptomatic | 2657 | none | Ahumã | Leaf | 2023 |
| Asymptomatic | 2205 | none | Ariramba | Leaf | 2023 |
| Asymptomatic | 2411 | none | Lençol | Leaf | 2023 |
| Asymptomatic | 2703 | none | Anawerá | Leaf | 2023 |
| Asymptomatic | 2805 | none | Yanawaka | Leaf | 2023 |
| DWBP | 2307 | Witches’ broom | Galibi | Petiole | 2023 |
| DWBP | 2610 | Witches’ broom | Ahumã | Petiole | 2023 |
| DWBP | 2704 | Witches’ broom | Anawerá | Petiole | 2023 |
| DWBP | 2403 | Witches’ broom | Lençol | Petiole | 2023 |
| DWBP | 2809 | Witches’ broom | Yanawaka | Petiole | 2023 |
| DWBS | 2309 | Vascular necrosis | Galibi | Stem | 2023 |
| DWBS | 2401 | Vascular necrosis | Lençol | Stem | 2023 |
| DWBS | 2606 | Vascular necrosis | Ahumã | Stem | 2023 |
| DWBS | 2702 | Vascular necrosis | Anawerá | Stem | 2023 |
| DWBS | 2207 | Vascular necrosis | Ariramba | Stem | 2023 |
Asymptomatic, no visible symptoms.
DWBP, Pool of samples containing total DNA extracted from the petioles of plants exhibiting witches’ broom symptoms.
DWBS, Pool of samples containing total DNA extracted from the stems of plants displaying both witches’ broom symptoms and vascular necrosis.
Freeze-dried samples were stored at -80 °C prior to shipment to the Leibniz Institute (DSMZ, Germany).
2.1. Pathogen detection based on high throughput sequencing
HTS sequencing and subsequent bioinformatics analyses were conducted at the Plant Virus Department (Leibniz Institute DSMZ, Braunschweig, Germany). Total DNA was extracted from each sample (150 mg of stem, leaf, or petiole tissue) using the NucleoSpin® Plant II kit (MACHEREY-NAGEL GmbH & Co. KG, Germany), following the manufacturer’s instructions. DNA quality and concentration were assessed using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, USA). DNA quantification for library preparation was performed using the Qubit™ dsDNA High Sensitivity (HS) Assay Kit on a Qubit 4 Fluorometer (Thermo Fisher Scientific, USA).
HTS of total DNA from cassava was performed using tissue-specific sample pools (leaves, petioles, and stems). Equal amounts of DNA were pooled consisting of DNA from non-symptomatic leaves, petioles from witches’ broom plants, and stems with vascular necrosis. Library preparation was performed using the Illumina DNA Prep Kit (FlexM; Illumina Inc., USA) with IDT® for Illumina® DNA/RNA UD Indexes Set D (Integrated DNA Technologies, USA).
Double-stranded cDNA (ds-cDNA) was generated using commercially available kits and enzymes for rRNA depletion, reverse transcription, second-strand synthesis, and purification, following manufacturers’ instructions.
Sequencing was conducted on a NextSeq 2000 instrument using paired-end 2 × 150 bp reads. Illumina reads were quality trimmed using BBDuk (BBTools suite) to remove adapters and low-quality bases. Coverage normalization was performed using BBNorm (BBTools suite), to reduce redundancy prior to assembly. Duplicate reads were removed using Dedupe (BBTools suite). Processed Illumina reads were mapped against the M. esculenta reference genome (NCBI RefSeq assembly GCF_001659605.2, Annotation Release 101) using BBMap (BBTools suite) implemented in Geneious Prime (v2024.0; Biomatters), with unmapped reads retained for de novo assembly. De novo assemblies were performed in Geneious Prime using both the ‘Geneious de novo assembler’ and the SPAdes assembler plugin. Hybrid were generated using SPAdes within Geneious Prime.
ONT libraries were prepared using the Rapid PCR Barcoding Kit (SQK-RPB004; Oxford Nanopore Technologies, UK) and sequenced on a MinION Mk1C device using R9.4.1 flow cells (FLO-MIN106). Raw reads were base called and demultiplexed using Guppy (v6.0.1). Adapter trimming and read filtering were performed using Porechop Processed ONT reads were mapped against the M. esculenta reference genome (NCBI RefSeq assembly GCF_001659605.2) using Minimap2 v2.26 (Li, 2018), with unmapped reads retained for downstream analyses.
2.2. Bioinformatic analysis
For taxonomic profiling, de novo assembled contigs from Illumina and ONT reads were analyzed using DIAMOND-BLASTx v2.1.11 (Buchfink et al., 2015) against the NCBI non-redundant (nr) protein database (downloaded January 10, 2024). The database was supplemented with curated fungal pathogen protein sequences from the DSMZ collection that were not yet publicly available. Taxonomic assignments were performed during DIAMOND alignment. The resulting output was imported into MEGAN6 (Huson et al., 2016) for visualization and summarization.
For additional taxonomic support, trimmed reads and assembled contigs were also screened against a custom database of plant-associated fungal reference sequences using BLASTn/BLASTx. This complementary analysis was used to improve confidence in species-level identification.
Partial genome scaffolds obtained from Illumina and ONT hybrid assemblies were compared with those of closely related organisms for comparative taxonomic analyses. Pairwise comparisons were conducted using scaffolds from DWBP and DWBS samples, Rhizoctonia solani AG-1 IA (GCF_016906535.1), and Rhizoctonia theobromae LAO01 (GCA_037974915.1). Additional analyses were performed using taxonomically informative loci, including large subunit ribosomal RNA (LSU), translation elongation factor 1-alpha (tef1), RNA polymerase II subunit (rpb2), and ATP synthase subunit 6 (atp6), for comparison with reference genomes of R. theobromae strains (GCA_037974915.1, GCA_009078325.1, GCA_012932095.1).
2.3. Phylogenetic analyses
ITS rDNA regions (ITS1, 5.8S, and ITS2) from fungi associated with CWBD-affected cassava were aligned with reference isolates from various species complexes using the MUSCLE algorithm in MEGA v11 (Tamura et al., 2021). Reference sequences were selected from GenBank based on sequence similarity. Scotomyces subviolaceus and Heteroacanthella acanthophysa were used as outgroups. Phylogenetic analysis was conducted using the Maximum Likelihood (ML) method in MEGA v11 with 1000 bootstrap replicates. Pairwise nucleotide identities were calculated using T92+G substitution model selected based on BIC and AIC criteria. Trees were visualized and edited using FigTree v.1.4.4 (available at http://tree.bio.ed.ac.uk/software/figtree).
Multilocus phylogenetic analysis (MLG) was performed using concatenated sequences of the ITS region (partial 18S, ITS1, 5.8S, ITS2, and partial 28S), LSU (28S), and mitochondrial atp6 genes. This analysis included isolates of Rhizoctonia theobromae and Rhizoctonia solani. A second phylogenetic tree was constructed using ITS and LSU regions to include additional Asian R. theobromae isolates infecting cacao (Theobroma cacao) and cassava.
Pairwise nucleotide identity were calculated using the T92+G model selected using on BIC and AIC criteria. Branch support was additionally assessed using both Neighbor-Joining (NJ) and Maximum Parsimony (MP) performed alongside the MLG analyses. Trees were visualized and edited using FigTree v1.4.4.
2.4. PCR-based detection
Detection of R. theobromae was performed using the primers CWBD-CIAT-F2 (GGATGAGTTTAATCGCTCTAAC) and CWBD-CIAT-R2 (GCGCTCTGGTGTTTCAAGTTTG) (Leiva et al., 2023), targeting the putative Ca2+/calmodulin-dependent protein kinase gene (CAMK/CAMKL) (Leiva et al., 2023). PCR reactions were performed in 25 µL volumes containing standard concentrations of buffer, primers, MgCl2, dNTPs, Taq polymerase, and template DNA. PCR amplification consisted of 35 cycles with denaturation at 95 °C, annealing at 52 °C, and extension at 72 °C, and after that subjected to bidirectional Sanger sequencing. Leaves, petioles, and stems were analyzed to account for possible differences in pathogen detection among tissues. To assess assay specificity, plants displaying symptoms of anthracnose, frogskin disease, and oversprouting were collected from the Embrapa Cassava Germplasm Bank in Cruz das Almas, Bahia, Brazil, and tested using CAMK/CAMKL primers.
2.4.1. Rhizoctonia theobromae genetic diversity analysis
CAMK/CAMKL sequences obtained from Sanger sequencing were quality-checked, assembled, and manually edited to generate consensus sequences for each isolate. Given the limited availability of multilocus datasets for R. theobromae, this locus was used as a preliminary marker for comparative genetic diversity analyses. The consensus sequences were compared with those available in GenBank using BLASTn (National Center for Biotechnology Information, 2024) (cited 2024 Oct 02). Available from: https://www.ncbi.nlm.nih.gov.
The generated consensus sequences were aligned using the MUSCLE algorithm implemented in MEGA v11 together with Asian CWBD-associated isolates. Sequences were manually trimmed to a uniform length of 738 bp prior to haplotype analyses. Terminal regions containing ambiguous bases (Ns) and low-quality sites were removed to ensure improve quality, only high-confidence positions were retained for downstream analyses.
DnaSP ver. 6.12.03 (Rozas et al., 2017) was used to calculate the genetic diversity indices. Haplotype diversity (Hd) and nucleotide diversity (π) were calculated. Relationships among were evaluated using a haplotype network based on single nucleotide variation (SNV) constructed using the median-joining method using PopART 1.7 software (Leigh and Bryant, 2015). Nexus files generated in DnaSP were used as the input for PopART 1.7. Haplotype were colored according to country of origin of the R. theobromae CAMK/CAMKL DNA sequences.
3. Results
Characteristic symptoms of CWBD were observed in cassava from indigenous villages in the Oiapoque Region, Amapá, Brazil (Figures 2a–c). Symptoms included stunting and proliferation of short, thin and weak shoots on cassava stems, resulting in the formation of “brooms”, represented by short internodes, aggregated rosette-shaped leaves aggregation and vascular necrosis. In severe cases, a cotton-like mycelium oozed out of the petiole base near the buds (Figure 2e). The fungus produced characteristic aerial light-yellowish mycelia with hyphal branches at approximately 90° angles (Figure 2e). These branches exhibited constrictions at their bases, immediately followed by septa beyond the branching point (Figure 2f). As the disease progresses, chlorosis, wilting and drying of leaves, apical death, and descending plant death occur.
Figure 2.
Aspects of cassava plants with symptoms of “oversprouting” associated with a 16SrIII-B phytoplasma. Plants showing abnormal “bushy” shoot emissions and stunting (dwarfism) of young plants (a–c, e). Longitudinal section of a cassava stem showing healthy vascular tissue without necrosis (d); whitish mycelium oozing out of nodes indicating fungal infection (e); and typical “Rhizoctonia-like” hyphae isolated from petioles, stained with lactophenol blue, and observed under a light microscope (×400) (f).
Fungal isolates obtained from symptomatic cassava petioles produced slow-growing colonies on 2% malt extract agar, initially white and becoming light cream with age. Microscopic examination revealed septate hyphae with right-angle branching typical of Rhizoctonia-like fungi (Figure 2f). However, subculturing proved difficult, as isolates frequently exhibited reduced growth after successive transfers and rapidly lost viability in vitro. In several cases, cultures became senescent or failed to regrow after storage, limiting long-term maintenance. These morphological and cultural characteristics, together with the molecular data, supported the identification of the isolates as R. theobromae-like fungi, consistent with molecular data.
Three fungal isolates were initially obtained from symptomatic cassava petioles; however, due to limited stability and rapid loss of viability in culture, only one isolate remained viable for pathogenicity assays. This isolate was inoculated onto cassava plantlets under greenhouse and in vitro conditions. Inoculated plants developed localized necrotic lesions at the inoculation site, and in some cases rapid plant decline and death were observed. However, the characteristic witches’ broom phenotype, including rosette proliferation and shortened internodes, was not reproduced under controlled conditions. However, the inability to reproduce the characteristic witches’ broom phenotype indicates that the role of this fungus in the full disease expression remains unresolved.
3.1. CWBD and “oversprouting” disease
This new disease of cassava, CWBD, shares similarities with the phytoplasma-associated disease “superbrotamento” or “Brazilian witches’ broom”, herein referred to as ‘Oversprouting’. Both result in abnormal shoot proliferation and stunted plants, but “Oversprouting” is characterized by generalized stunting, excessive shoot proliferation, and leaves that are chlorotic, deformed, and smaller than normal. The new stems are unusually thin and produced in large numbers (Figure 3).
Figure 3.
Aspects of cassava plants with symptoms of “Oversprouting” caused by a 16SrIII-B phytoplasma. Plants showing abnormal “bushy” shoot emissions and stunting (dwarfism) of young plants (a–c, e). Longitudinal section of a cassava stem with a healthy appearance and intact vascular tissue (d).
In contrast to oversprouting (phytoplasma-associated), CWBD is characterized not only by dwarfism and shoot proliferation, but also by the formation of well-defined broom-like structures with markedly shortened internodes and rosette-shaped leaf clusters. A distinctive feature of CWBD is the consistent presence of vascular necrosis in affected stems, which is not observed in oversprouting. As CWBD progresses, vascular discoloration leads to wilting, apical dieback, and eventual plant death.
Molecular analyses confirmed that plants displaying oversprouting symptoms were associated exclusively with phytoplasma infection and not with Rhizoctonia. PCR amplification of the 16S rRNA gene followed by Sanger sequencing identified phytoplasma strains belonging to the 16SrIII-B subgroup, consistent with previous reports for cassava oversprouting disease (Flôres et al., 2013; Flores et al., 2023). Representative sequences obtained in this study were deposited in GenBank under accession numbers PX515190 and PX515191. Importantly, no Rhizoctonia sequences were detected in oversprouting samples, reinforcing that cassava oversprouting and cassava witches’ broom disease represent distinct disease entities with different etiological agents.
3.2. HTS sequencing for detection of pathogens
Since the symptoms observed in cassava plants closely resembled those previously described for witches’ broom disease in Asia (Leiva et al., 2023; Gil-Ordóñez et al., 2024) and recently reported in French Guiana (Pardo et al., 2024) the presence of Rhizoctonia theobromae (syn. Ceratobasidium theobromae) was investigated. To investigate potential microbial agents associated with CWBD in Brazil, Illumina sequencing was performed on pooled samples from asymptomatic plants, plants exhibiting witches’ brooms (DWBP), and plants showing vascular necrosis (DWBS) (Table 1).
Approximately 84.91% of the reads from the asymptomatic pool mapped to the cassava genome, whereas mapping rates were lower in symptomatic plants, with 78.78% in the DWBS pool and 70.76% in the DWBP pool. Notably, Rhizoctonia theobromae contigs were detected exclusively in the DWBP and DWBS pools in this study. The median number of reads obtained per pool ranged from 48, 823, 878 to 62, 648, 108, with 500 and 495 contigs identified in DWBP and DWBS, respectively (Table 2).
Table 2.
Results from Illumina sequencing after quality filtering.
| Illumina data | Samples | ||
|---|---|---|---|
| Asymptomatic | DWBP | DWBS | |
| Total reads | 62, 648, 108 | 48, 823, 878 | 60, 609, 962 |
| Total reads after normalization | 29, 673, 340 | 29, 698, 224 | 33, 353, 050 |
| % Reads mapped to cassava | 84, 91% | 70, 76% | 78, 78% |
| # Reads unmapped | 4, 476, 529 | 8, 684, 988 | 7, 076, 949 |
| Number of produced contigs | 6, 020 | 5, 250 | 4, 975 |
| Minimum Length (bp) | 489 | 431 | 357 |
| Maximum Length (bp) | 42, 266 | 53, 407 | 32, 731 |
| Rhizoctonia theobromae contigs | 0 | 500 | 495 |
Asymptomatic, DNA from a pool of asymptomatic leaves.
DWBP, DNA from petiole of plants expressing clear symptoms of cassava witches’ broom disease.
DWBS, DNA from stem of plants expressing clear symptoms of cassava witches’ broom disease and with vascular necrosis.
Total reads, Number of total reads obtained after quality check, filtering and trimming.
# Reads unmapped, Number of reads not belonging to the host.
Rhizoctonia theobromae contigs, Number of contigs assigned to Rhizoctonia and Ceratobasidium genomes.
ONT sequencing generated long-read data that corroborated the Illumina-based taxonomic assignments. No additional fungal taxa or major sequence variants were detected exclusively in the ONT dataset. Therefore, Illumina and ONT reads were combined for hybrid assembly to improve contig continuity and genome reconstruction.
3.3. Phylogenetic analyses
Previous research has shown that the genus Ceratobasidium is associated with witches’ broom disease. Hence, Rhizoctonia sp. sequences from the ITS rDNA region, including partial sequences of the 18S and 28S rDNA genes, internal transcribed spacers 1 and 2 (ITS1 and ITS2), and the 5.8S rDNA gene were analyzed. Sequences from HTS were mapped against a randomly chosen Rhizoctonia solani reference sequence (GenBank accession no. AF153800). The resulting consensus sequences were used for subsequent phylogenetic analyses. In the alignment matrices, sequences from the first report of Ceratobasidium sp. associated with cassava in Asia (Leiva et al., 2023) were used as reference sequences (Table 3).
Table 3.
Description of the isolates used for phylogenetic analysis based on the ITS rDNA region of Rhizoctonia-like species, with collection details and GenBank accession numbers.
| GenBank | Taxonomic assignation | Location | Host | Isolation source |
|---|---|---|---|---|
| AB122145 | Ceratobasidium sp. AG-k | Japan | Allium cepa | mycelium |
| AB196647 | Ceratobasidium sp. | Japan | Arachis hypogaea | mycelium |
| AB196650 | Ceratobasidium sp. AG-I | Japan | Artemisia sp. | mycelia |
| AJ427407 | Ceratobasidium sp. AGR | USA | Cucumis sp. | mycelia |
| AF354095 | Ceratobasidium sp. AGQ | Japan | Cynodon_Soil | mycelia |
| KY075643 | Ceratobasidium theobromae | China | Lonicera japonica | -- |
| KP119764 | Ceratobasidium theobromae | China | Lonicera japonica | -- |
| KP119766 | Ceratobasidium theobromae | China | Lonicera japonica | -- |
| KP119765 | Ceratobasidium theobromae | China | Lonicera japonica | -- |
| OR145521 | Ceratobasidium theobromae | Cambodia | Manihot esculenta | petiole |
| OR145522 | Ceratobasidium theobromae | Vietnam | Manihot esculenta | petiole |
| OR145523 | Ceratobasidium theobromae | Lao PDR | Manihot esculenta | petiole |
| AB286940 | Ceratobasidium sp. AG-P | Japan | -- | -- |
| AB290017 | Ceratobasidium sp. AG-E | Japan | -- | -- |
| AB000019 | Rhizoctonia solani | Japan | -- | -- |
| AY154313 | Thanatephorus cucumeris | Brazil | -- | -- |
| AF354108 | Thanatephorus cucumeris | Veracruz | Solanum tuberosum | mycelia |
| AF153804 | Rhizoctonia solani | Australia | Pterostylis acuminata | -- |
| AB286930 | Ceratobasidium sp. AG-Ba | Japan | Rice | -- |
| AB196659 | Ceratobasidium sp. AG-T | Japan | Rosa odorata | -- |
| AB196653 | Ceratobasidium sp. AG-L | Japan | Soil | mycelium |
| AB000003 | Rhizoctonia solani | Japan | Soil | -- |
| AF153800 | Rhizoctonia solani | Australia | Soil | -- |
| AB196649 | Ceratobasidium sp. AG-H | Japan | Soil | mycelia |
| AB290021 | Ceratobasidium sp. AG-C | Japan | Sugar beet | mycelia |
| KU255726 | Ceratobasidium theobromae | Indonesia | Theobroma cacao | leaf |
| KU319572 | Ceratobasidium theobromae | Indonesia | Theobroma cacao | leaf |
| KU255724 | Ceratobasidium theobromae | Indonesia | Theobroma cacao | petiole |
| KM523668 | Ceratobasidium theobromae | Indonesia | Theobroma cacao | mycelium |
| KU319573 | Ceratobasidium theobromae | Indonesia | Theobroma cacao | leaf |
| KU310940 | Ceratobasidium theobromae | India | Theobroma cacao | petiole |
| KU310941 | Ceratobasidium theobromae | India | Theobroma cacao | petiole |
| AB000004 | Rhizoctonia solani | U.S.A. | Tobacco | -- |
| AB198702 | Ceratobasidium sp. AG-D | Japan | Zoysia japonica | mycelia |
| MZ159527 | Scotomyces subviolaceus | Scotland | -- | -- |
| MT340869 | Heteroacanthella acanthophysa | -- | -- | -- |
| PQ192611 | Ceratobasidium theobromae | Brazil | Manihot esculenta | petiole |
| PQ192612 | Ceratobasidium theobromae | Brazil | Manihot esculenta | stem |
The two ITS rDNA consensus sequences assembled from the DWBS and DWBP samples were placed in a well-supported clade comprising only C. theobromae (formerly R. theobromae) (Figure 4). The subclade formed assigned isolates from cassava and cacao associated with witches’ broom disease (CWB) and vascular streak dieback (VSD), respectively.
Figure 4.
Relationship between Rhizoctonia theobromae from cassava collected from indigenous villages in the Brazilian rainforest in the Oiapoque region and others ‘Rhizoctonia-like’ species sequences available in GenBank based on the internal transcribed spacer (ITS) sequence of the rDNA. A set of isolates found causing vascular necrosis in cacao (Theobroma cacao) and honeysuckle (Lonicera japonica) and witches’ broom in cassava (M. esculenta) in Asian countries were also included. The tree was constructed using the maximum-likelihood method based on the Tamura 3-parameter with gamma distribution (T92+G) model with 1000 bootstrap replicates. Bootstrap values higher than 70% are displayed near the branch. Scotomyces subviolaceus and Heteroacanthella acanthophysa were used as outgroup.
A multilocus phylogenetic analysis (MLG) was conducted to assess the molecular relationships of Rhizoctonia theobromae isolates from Brazil. Sequence identity comparisons with the C. theobromae LAO1 reference genome (GCA_037974915.1) revealed 100% identity for the atp6 gene, 98.47% for the ITS rDNA region, and 100% for LSU, indicating a high degree of genetic similarity.
The MLGs based on ITS, LSU, and atp6 regions consistently resolved R. theobromae isolates into a distinct clade from R. solani, with strong bootstrap support of 88%, 100%, and 100% for Maximum Parsimony (MP), Neighbor-Joining (NJ), and Maximum Likelihood (ML), respectively (Figure 5a). When additional R. theobromae isolates from cassava and cacao were included in the ITS + LSU MLGs analysis, the robustness of the phylogenetic clustering remained high, with 100% bootstrap support across the NJ, MP, and ML for the R. theobromae clade (Figure 5b). A distinct subclade differentiated between cassava and cacao isolates, with bootstrap values of 66%, 68%, and 83% for cassava isolates and 86%, 83%, and 94% for cacao isolates under the NJ, MP, and ML methods, respectively (Figure 5b). The isolates used for this comparison and the respective GenBank accession numbers are listed in Table 4.
Figure 5.
Phylogenetic analysis of Rhizoctonia theobromae isolates was performed using multilocus phylogenetic analysis (MLG). (a) MLGs using Brazilian R. theobromae (syn. Cb. theobromae) isolates and additional R. solani isolates based on the ITS, LSU, and atp6 regions. (b) MLGs using ITS + LSU regions with additional isolates from cassava and cacao. Colored circles indicate the origin of the isolates.
Table 4.
Description of the Rhizoctonia solani and R. theobromae isolates used in the multilocus phylogenetic analysis (MLG) based on the ITS, LSU, and atp6 regions, with collection details and GenBank accession numbers.
| Isolate | Host | Geographic origin | Other name(s) | ITS | LSU | atp6 |
|---|---|---|---|---|---|---|
| CBS 208.84 | Bean | Japan | T.sasakii | DQ279038 | KP171642 | DQ301680 |
| SA1-1 | Soybean | Japan | T. cucumeris | KP171635 | KP171643 | DQ301602 |
| CBS 970.96 | Potato | USA, Alaska | T. cucumeris | DQ279005 | KP171648 | DQ301622 |
| LAO1 | Cassava | Lao PDR | C. theobromae | JBBBZN000000000 | ||
| DCWBS | Cassava | Brazil | C. theobromae | PQ192611 | PV639453 | PV247128 |
| DCWBP | Cassava | Brazil | C. theobromae | PQ192612 | PV639452 | PV247129 |
| South Sulawesi 1 | Cocoa | Indonesia | C. theobromae | KU255725 | KU319575 | – |
| South Sulawesi 2 | Cocoa | Indonesia | C. theobromae | KU255724 | KU319576 | – |
The nucleotide identity of over 1, 000 contigs generated for DWBS and DWBP ranged from 95.7% to 100% when compared with the R. theobromae LAO1 reference genome (GCA_037974915.1) (Table 4). These contigs were obtained through de novo assembly using hybrid Illumina and Nanopore sequencing (ENA sample number: ERA33127699). This high sequence similarity supports the identification of the fungus associated with CWBD in Brazil as R. theobromae.
3.4. PCR-based detection
To further support the hypothesis that Rhizoctonia theobromae is associated with the epidemic outbreak in the state of Amapá, Brazil, PCR analyses were performed using the primer set CWBD-CIAT-F2/R2 described by Leiva et al. (2023), targeting the coding region of a putative Ca2+/calmodulin-dependent protein kinase (CaMK) gene (GenBank accession no. KAB5596398).
Among 50 cassava samples displaying disease symptoms, 37 tested positive for R. theobromae, indicating a strong association between pathogen detection and symptom expression. Based on the sampled dataset, the apparent diagnostic sensitivity among symptomatic plants was 74% (37/50), while specificity relative to asymptomatic field plants was 93% (14/15 negative). No false positives were detected among 40 healthy control plants collected from the Germplasm Bank in Cruz das Almas, Brazil (approximately 2, 500 km from the outbreak region), indicating high analytical specificity under the tested conditions (Table 5). These results support an association between R. theobromae and CWBD in affected fields.
Table 5.
PCR analysis of field samples collected on the indigenous villages that are suffering with the outbreak (leaves, petioles and stem from plants with and without disease symptoms) showed a strong association of Rhizoctonia theobromae (Ceratobasidium theobromae) with CWBD.
| Phenotype | Number of samples | PCR (−) | PCR (+) |
|---|---|---|---|
| Asymptomatic | 15 | 14 | 1 |
| Diseased | 50 | 13 | 37 |
| Healthy* | 40 | 40 | 0 |
As means of comparison, plants randomly collected from the Embrapa Cassava Germplasm Bank expressing symptoms of anthracnose, frogskin disease and oversprouting were included.
*Plants collected from the Cassava Germplasm Bank in Cruz das Almas, Brazil, more than 2.500 km from the diseased fields, were considered healthy plants for R. theobromae infection.
DNA extracted from field samples consisted predominantly of cassava host DNA together with DNA from multiple microorganisms present in plant tissues. Consequently, the relative proportion of Rhizoctonia theobromae DNA represented only a small fraction of the total DNA recovered from infected plants. This effect was particularly evident in leaf tissues, where pathogen biomass appeared lower than in vascular tissues. Under these conditions, the low relative abundance of fungal DNA in total plant extracts reduced PCR detection efficiency and resulted in some symptomatic samples testing negative.
3.5. Rhizoctonia theobromae genetic diversity analysis
The putative pathogenicity-associated gene CAMK/CAMKL (~1, 100 bp), previously used for species-specific detection of R. theobromae, was also employed for population analysis to provide insight into the genetic diversity of the fungus in Brazil and its relationship with Asian R. theobromae isolates associated with CWBD. Eighteen high-quality CAMK/CMKL consensus sequences were retrieved from the samples and used for genetic diversity analysis (Table 6).
Table 6.
Summary of cassava isolates used in the study of the diversity of putative Ca2+/calmodulin-dependent protein kinase genes (CAMK/CAMKL).
| Sample | 1Hap. | Cultivar | Year | Country | Location | Tissue | GenBank |
|---|---|---|---|---|---|---|---|
| AP-2204 | H1 | Bâton-Uaçá | 2023 | Brazil | Ariramba | Stem | PQ202677 |
| AP-2207 | H1 | Bâton-Ló | 2023 | Brazil | Ariramba | Stem | PQ202678 |
| AP-2303 | H1 | Tête-Bleu | 2023 | Brazil | Galibi | Stem | PQ202679 |
| AP-2305 | H1 | Tête-Bleu | 2023 | Brazil | Galibi | Stem | PQ202680 |
| AP-2351 | H1 | Bolinha | 2023 | Brazil | Galibi | Petiole | PQ202682 |
| AP-2353 | H1 | Tête-Bleu | 2023 | Brazil | Galibi | Petiole | PQ202683 |
| AP-2602 | H1 | Kawa’wa | 2023 | Brazil | Ahumã | Petiole | PQ202684 |
| AP-2616 | H1 | Kalixá | 2023 | Brazil | Ahumã | Petiole | PQ202685 |
| AP-2617 | H1 | Kawa’wa | 2023 | Brazil | Ahumã | Stem | PQ202686 |
| AP-2663 | H1 | Camarão | 2023 | Brazil | Ahumã | Stem | PQ202687 |
| AP-2706 | H1 | Tucumã | 2023 | Brazil | Anawerá | Leaf | PQ202688 |
| AP-2711 | H1 | Tucumã | 2023 | Brazil | Anawerá | Stem | PQ202689 |
| AP-2713 | H1 | Xingú | 2023 | Brazil | Anawerá | Leaf | PQ202690 |
| AP-2719 | H1 | Xingú | 2023 | Brazil | Anawerá | Stem | PQ202691 |
| AP-2802 | H1 | Manteiga | 2023 | Brazil | Yanawaka | Stem | PQ202692 |
| AP-2807 | H1 | Manteiga | 2023 | Brazil | Yanawaka | Petiole | PQ202693 |
| AP-2809 | H1 | Pretinha | 2023 | Brazil | Yanawaka | Petiole | PQ202694 |
| AP-2812 | H1 | Manteiga | 2023 | Brazil | Yanawaka | Stem | PQ202695 |
| YBa-1 | H3 | KM 94 | 2012 | Vietnam | Yen Bai | Stem | OQ863061 |
| YBa-2 | H4 | KM 94 | 2012 | Vietnam | Yen Bai | Stem | OQ863062 |
| YBa-3 | H6 | KM 94 | 2012 | Vietnam | Yen Bai | Stem | OQ863063 |
| YBa-4 | H1 | KM 94 | 2012 | Vietnam | Yen Bai | Stem | OQ863064 |
| YBa-5 | H2 | KM 94 | 2012 | Vietnam | Yen Bai | Stem | OQ863065 |
| HBi-1 | H3 | SC 205 | 2012 | Vietnam | Hoa Binh | petiole | OQ863066 |
| HBi-2 | H3 | SC 205 | 2012 | Vietnam | Hoa Binh | petiole | OQ863067 |
| DNa-1 | H3 | KM 94 | 2012 | Vietnam | Dong Nai | Stem | OQ863068 |
| DNa-2 | H3 | KM 94 | 2012 | Vietnam | Dong Nai | petiole | OQ863069 |
| DNa-3 | H1 | KM 94 | 2012 | Vietnam | Dong Nai | Stem | OQ863070 |
| Kra-1 | H1 | NA | 2013 | Cambodia | Kratie | Root | OQ863071 |
| KCh-1 | H3 | NA | 2013 | Cambodia | Kampong Chan | Root | OQ863072 |
| PVe-1 | H3 | NA | 2013 | Cambodia | Prey Veng | Root | OQ863073 |
| TNi-1 | H3 | NA | 2013 | Vietnam | Tay Ninh | Root | OQ863074 |
| TNi-2 | H9 | NA | 2013 | Vietnam | Tay Ninh | Root | OQ863075 |
| Min-1 | H9 | NA | 2017 | Philippines | Mindanao | NA | OQ863076 |
| Min-2 | H8 | NA | 2017 | Philippines | Mindanao | NA | OQ863077 |
| Min-3 | H10 | NA | 2017 | Philippines | Mindanao | NA | OQ863078 |
| Ray-1 | H10 | HB 60 | 2017 | Thailand | Rayong | Root | OQ863079 |
| Ray-2 | H10 | HB80 | 2017 | Thailand | Rayong | Root | OQ863080 |
| Ray-3 | H10 | 2Ray.7 | 2017 | Thailand | Rayong | Root | OQ863081 |
| Ray-4 | H8 | Ray.86-13 | 2017 | Thailand | Rayong | Root | OQ863082 |
| Sal-1 | H1 | NA | 2020 | Lao PDR | Salavan | Leaf | OQ863083 |
| Sal-2 | H3 | NA | 2020 | Lao PDR | Salavan | Leaf | OQ863084 |
| Vie-1 | H7 | NA | 2022 | Lao PDR | Vientiane | Stem | OQ863085 |
| Vie-3 | H1 | KU50 | 2023 | Lao PDR | Vientiane | Stem | OQ863086 |
| Vie-4 | H5 | Ray.11 | 2023 | Lao PDR | Vientiane | Stem | OQ863087 |
The table includes information on sample identification, haplotype, cultivar, year of collection, country, specific location, tissue type, and corresponding GenBank accession numbers for isolates from various Asian countries and Brazil.
1Hap., Haplotype; 2Ray., Rayong.
Genetic analysis of R. theobromae based on the CAMK/CAMKL locus revealed marked differences in genetic diversity across regions. In Brazil, fungal isolates exhibited very low genetic diversity, with a Shannon diversity index of 0.12 and nucleotide diversity (π) of 0.001, suggesting limited variation within this dataset. Haplotype diversity in Brazil was 0.0, indicating the presence of a single detected haplotype. In contrast, Philippine isolates displayed higher diversity values (Shannon index = 1.56; π = 0.025; haplotype diversity = 0.85). Because this analysis is based on a single locus, these results reflect comparative genetic diversity patterns rather than definitive population structure.
A high pairwise FST value (0.68) was observed between regional datasets, and the estimated migration rate (Nm = 0.5) was calculated based on this locus. However, because these metrics were derived from a single and potentially conserved gene, they should be interpreted cautiously. These values reflect differentiation at the CAMK/CAMKL locus and do not constitute definitive evidence of broader population genetic structure. The high concentration of individuals in the H1 haplotype, particularly in Brazil, may indicate a common ancestor or founder population (Figure 6A). The H1 haplotype is shared by Vietnam, Cambodia, and Laos, suggesting genetic connections or a common ancestor. This central haplotype is connected to other less frequent haplotypes, such as H2, H3, H4, and H5, which are found in more restricted populations.
Figure 6.
Diversity analysis of Brazilian and Asian Rhizoctonia theobromae isolates. (A) haplotype network of Rhizoctonia theobromae isolates based putative Ca2+/calmodulin-dependent protein kinase gene (CAMK/CAMKL). The network shows the number of individuals for each haplotype (circle size) and the population of origin (color). The numbers in parentheses next to the branches indicate the number of mutations that separate the different haplotypes. (B) diagram illustrating the sharing of haplotypes between the five Asian populations and Brazil. Values in parentheses next to the names indicate the haplotype diversity (Hd) estimated for the population.
The H10 haplotype, which is distant from the others, suggests a greater evolutionary divergence or an older founding event. Haplotype diversity was highest in the Philippines and, to a lesser extent, in Brazil and Laos, whereas Thailand showed the lowest diversity. The H3 haplotype is shared between Vietnam and Cambodia, indicating their genetic proximity. The connection between Thailand and the Philippines for the H8/H10 haplotypes suggests genetic sharing, possibly due to spore dispersal and/or transit of infected plants (Figure 6B).
4. Discussion
The outbreak of a new cassava disease in indigenous villages in Oiapoque, Amapá, Brazil, exhibits symptoms consistent with Cassava Witches’ Broom Disease (CWBD), including stunted growth, proliferation of weak shoots, broom-like structures on stems, chlorosis, wilting, leaf senescence, and apical dieback. These symptoms closely correspond with previous descriptions of witches’ broom disease in Brazil (Silberschmidt and Campos, 1944; Flôres et al., 2013), although CWBD is further distinguished by a characteristic rosette-like broom formation and vascular necrosis, leading to plant wilting.
Metagenomic analyses of diseased cassava samples revealed consistent microbial communities across sites, with fungal genera such as Rhizoctonia theobromae, Aplosporella, Chrysoporthe, and Hebeloma detected exclusively in symptomatic plants within the surveyed areas. Notably, R. theobromae was the dominant or sole fungal taxon in many CWBD samples. While these additional genera were isolated and are currently being evaluated for their potential pathogenic role, their contribution to disease development remains under investigation. In contrast, R. theobromae showed a consistent association with CWBD symptoms across all affected sites. This aligns with recent reports identifying R. theobromae as an emerging cassava pathogen in Asia (Leiva et al., 2023) and its presence in French Guiana (Pardo et al., 2024). Our detection of R. theobromae in the Oiapoque region represents the first report of its occurrence in the Brazilian Amazon, expanding its known geographic distribution in the Americas.
Phylogenetic analysis clustered R. theobromae isolates from cassava in Brazil with other isolates from cassava and cacao in Asia. ITS-based phylogeny provides a robust framework for delineating taxa within the Rhizoctonia complex and reinforces previous findings (Guest and Keane, 2018) regarding the monophyly of the Ceratobasidiaceae family. Multilocus genotyping (MLG) revealed a high genetic similarity between the Brazilian isolates and the C. theobromae LAO1 reference genome, further supporting the association of R. theobromae with CWBD in the region. Phylogenetic resolution using both R. solani and R. theobromae sequences revealed distinct subclades for cassava and cacao isolates, indicating possible host specialization, with implications for disease epidemiology and control.
Ceratobasidium theobromae has been implicated not only in CWBD but also in vascular streak dieback (VSD) of cacao (Pardo et al., 2024; Leiva et al., 2023; Gil-Ordóñez et al., 2024; Guest and Keane, 2018). Taxonomic complexity remains, as the teleomorphic state is classified as Ceratobasidium, whereas the anamorphic state is typically named Rhizoctonia. Some studies have also placed taxa related to the genus Thanatephorus. This overlapping classification highlights the importance of molecular phylogenetic tools in resolving such taxonomic ambiguities. Following current taxonomic revisions (Oberwinkler et al., 2013; O’Donnell et al., 2025), the accepted name Rhizoctonia theobromae is used throughout this manuscript.
PCR-based detection indicated an association between symptom expression and the presence of R. theobromae, supporting its potential epidemiological relevance. The higher detection rates observed in vascular tissues, particularly stems (93%) and petioles (95%), support the hypothesis that the pathogen preferentially colonizes the vascular system, consistent with the necrosis and wilting symptoms observed in affected plants. Occasional negative PCR results in symptomatic samples are likely explained by low pathogen DNA concentrations in total plant extracts, particularly in leaf tissues where fungal biomass is limited relative to host DNA. Moreover, the high sequence identity of the CAMK locus among isolates from Brazil and Asia suggests a shared genetic background. CaMK proteins are known to regulate fungal growth and pathogenicity-related processes in several plant-pathogenic fungi. Although functional characterization of the CAMK locus in R. theobromae has not yet been experimentally demonstrated, this locus has been previously validated as a species-specific molecular marker (Leiva et al., 2023; Pardo et al., 2024; Gil-Ordóñez et al., 2024), supporting its relevance for detection and comparative epidemiological analyses.
By integrating symptomology, high-throughput sequencing, and molecular diagnostics, this study provides evidence of a strong association between R. theobromae and CWBD in Amapá, Brazil. This is the first confirmed report of this pathogen in Brazil, marking a significant phytosanitary threat to both food security and the genetic diversity of local cassava landraces cultivated by indigenous communities. The pathogen may be spread via infected planting material and infested soil, with airborne basidiospores being a plausible, although yet unconfirmed, source of primary infection.
Given these findings, urgent mitigation efforts are required to address this issue. These include strict quarantine measures, the use of certified clean planting material, surveillance of cultivation zones, and risk communication targeting farmers and communities in affected areas. Public awareness campaigns and monitoring of crop movement across regions are essential to contain the spread of the disease.
Rhizoctonia theobromae (syn. Ceratobasidium theobromae, Oncobasidium theobromae, and Thanatephorus theobromae) have recently been designated as quarantine pests by Brazil’s Ministry of Agriculture and Livestock (MAPA), with notifications registered under SEI: 21157.001205/2024-84. Independent laboratory confirmation (files N° 03575/24-GO) triggered the implementation of quarantine protocols (MAPA, 2024). The detection of this pathogen in Amapá threatens not only cassava production but also cacao (Theobroma cacao) and potentially other crops of economic importance, such as T. grandiflorum (“cupuaçú”).
Although global cassava disease management has focused predominantly on viral threats, such as Cassava Brown Streak Disease and Cassava Mosaic Disease (Uke et al., 2022; Hareesh et al., 2023), the emergence of CWBD calls for broader disease surveillance and horizon-scanning frameworks. Early detection and rapid response systems must be enhanced to prevent the establishment and spread of novel, previously unrecognized pathogens such as R. theobromae.
4.1. Conclusion
Cassava Witches’ Broom Disease (CWBD) in the Oiapoque region of Brazil is characterized by stunted growth, abnormal shoot proliferation, and distinct broom-like structures, with vascular necrosis consistently associated with R. theobromae. Metagenomic and phylogenetic analyses support an association between Rhizoctonia theobromae and CWBD in Brazil, consistent with reports from Southeast Asia. The low genetic variability observed among Brazilian isolates, including the detection of a single haplotype, is consistent with a possible recent introduction scenario, although this interpretation remains preliminary. However, the greater genetic diversity reported in Asian populations may partly reflect broader geographic and temporal sampling in that region. Therefore, while our data support a shared lineage between Brazilian and Asian isolates, additional multilocus and population-level analyses are necessary to clarify the evolutionary history and dispersal patterns of this pathogen. The inability to reproduce the full disease phenotype under controlled conditions indicates that further studies are required to establish a definitive causal role.
Author’s note
All sampling and genetic analyses were conducted under SISGEN registration AFB8348, in compliance with Brazilian Law 13.123/2015 and Decree 8.772/2016.
Acknowledgments
The authors are grateful for the professional technical support provided by M. Koerbler, B. Stein, and the staff of the DSMZ Plant Virus Department.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Empresa Brasileira de Pesquisa Agropecuária (Embrapa), the Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ), and the Alexander von Humboldt Foundation (AvH). Saulo A. S. Oliveira was supported by a research productivity fellowship from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant no. 315172/2021-5) and by a CAPES/Alexander von Humboldt experienced researcher fellowship (grant no. 88881.699110/2022-01).
Footnotes
Edited by: Tabata Rosas-Díaz, University of Malaga, Spain
Reviewed by: Edgloris Elena Marys Saravia, Instituto Venezolano de Investigaciones Cientificas (IVIC), Venezuela
Temitope Oyedele, Aberystwyth University, United Kingdom
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, PQ192611, PV639453, PV247128, PQ192612, PV639452, PV247129 https://www.ebi.ac.uk/ena, ERA33127699.
Author contributions
SA: Resources, Writing – original draft, Project administration, Data curation, Investigation, Methodology, Visualization, Writing – review & editing, Funding acquisition, Validation, Conceptualization, Software, Supervision, Formal analysis. SS: Writing – review & editing, Funding acquisition, Writing – original draft, Conceptualization, Data curation, Visualization. PM: Writing – original draft, Formal analysis, Writing – review & editing, Data curation, Methodology, Visualization. AL: Writing – review & editing, Investigation, Writing – original draft, Resources. JA: Resources, Writing – review & editing, Writing – original draft, Investigation. HS: Writing – original draft, Visualization, Investigation, Resources, Writing – review & editing. HF: Resources, Writing – original draft, Visualization, Investigation, Writing – review & editing. CR: Writing – review & editing, Writing – original draft, Investigation, Resources, Project administration. SW: Funding acquisition, Investigation, Writing – review & editing, Supervision, Software, Writing – original draft, Conceptualization, Validation, Project administration, Resources, Visualization, Methodology, Formal analysis, Data curation.
Conflict of interest
Authors SA, SS, PM, and SW were employed by company Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ).
The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, PQ192611, PV639453, PV247128, PQ192612, PV639452, PV247129 https://www.ebi.ac.uk/ena, ERA33127699.






