Next Article in Journal
SntB Affects Growth to Regulate Infecting Potential in Penicillium italicum
Previous Article in Journal
Once upon a Time, There Was a Piece of Wood: Present Knowledge and Future Perspectives in Fungal Deterioration of Wooden Cultural Heritage in Terrestrial Ecosystems and Diagnostic Tools
Previous Article in Special Issue
Chromosome-Level Assembly and Comparative Genomic Analysis of Suillus bovinus Provides Insights into the Mechanism of Mycorrhizal Symbiosis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Diversity, Prevalence and Virulence of Colletotrichum Species Causing Anthracnose on Cassava Leaves in the Northern Region of Brazil

by
Stella de C. S. Machado
1,
Josiene S. Veloso
2,
Marcos P. S. Câmara
2,
Willie A. S. Vieira
3,
Luis O. Viteri Jumbo
4,5,
Raimundo Wagner S. Aguiar
5,
Alex Sander R. Cangussu
5,
Marcos V. Giongo
4,
Cristiano B. Moraes
4,
Fabricio S. Campos
5,
Sabrina H. C. Araújo
6,
Eugênio E. Oliveira
6 and
Gil R. dos Santos
1,4,5,*
1
Programa de Pós-Graduação em Produção Vegetal, Universidade Federal do Tocantins, Gurupi 77402-970, TO, Brazil
2
Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife 52171-900, PE, Brazil
3
Departamento de Fitopatologia, Universidade de Brasília (UnB), Brasília 70910-900, DF, Brazil
4
Programa de Pós-Graduação Ciências Florestais e Ambientais, Universidade Federal do Tocantins (UFT), Gurupi 77402-970, TO, Brazil
5
Programa de Pós-Graduação em Biotecnologia, Universidade Federal do Tocantins, Gurupi 77402-970, TO, Brazil
6
Departamento de Entomologia, Universidade Federal de Viçosa (UFV), Viçosa 36570-900, MG, Brazil
*
Author to whom correspondence should be addressed.
J. Fungi 2024, 10(6), 367; https://doi.org/10.3390/jof10060367
Submission received: 14 April 2024 / Revised: 8 May 2024 / Accepted: 16 May 2024 / Published: 21 May 2024
(This article belongs to the Special Issue Plant Pathogenic Fungi: Taxonomy, Phylogeny and Morphology)

Abstract

:
Cassava (Manihot esculenta Crantz) is a staple crop widely cultivated by small farmers in tropical countries. However, despite the low level of technology required for its management, it can be affected by several diseases, with anthracnose as the main threat. There is little information about the main species of Colletotrichum that infect cassava in Brazil. Thus, the objective of this work was to study the diversity, prevalence and virulence of Colletotrichum species that cause anthracnose in cassava leaves in northern Brazil. Twenty municipalities of the Pará and Tocantins states were selected, and leaves with symptoms were collected in those locations. Pure cultures were isolated in the laboratory. Species were identified using phylogenetic analyses of multiple loci, and their pathogenicity, aggressivity and virulence levels were assessed. Our results showed the greatest diversity of Colletotrichum associated with anthracnose in cassava plants of the “Formosa” cultivar in the Tocantins and Pará states. We determined the presence of Colletotrichum chrysophilum, C. truncatum, C. siamense, C. fructicola, C. plurivorum, C. musicola and C. karsti, with C. chrysophilum as the most aggressive and virulent. Our findings provide accurate identifications of species of Colletotrichum causing anthracnose in cassava crops, which are of great relevance for cassava breeding programs (e.g., the search for genotypes with polygenic resistance since the pathogen is so diverse) and for developing anthracnose management strategies that can work efficiently against species complexes of Colletotrichum.

1. Introduction

Cassava (Manihot esculenta Crantz) is widely cultivated by small farmers in tropical countries in Africa, Asia and Latin América. Due to its easy cultivation and production of starch-rich roots, cassava is emerging as the most important tropical tuber crop [1,2]. According to the Food and Agriculture Organization of the United Nations, “cassava is very important in feeding half a billion people in the world” [3,4,5,6]. Brazil is the third-largest cassava producer in the world [7,8,9], with the State of Pará as the largest national producer. The State of Tocantins is also amongst the bigger State producers, showing the same trend of growing production and planted area [10]. In the northern region of Brazil, cultivation is predominantly low in technology, with losses in productivity due to several factors, including diseases caused by phytopathogens.
The cassava crop can be affected by several fungal diseases, and anthracnose is considered the most destructive foliar disease [11,12,13]. The symptoms are characterized by necrotic lesions of irregular shapes, distributed along the leaf blade. In young plants, it causes damage to the apical bud, causing the symptom known as “pointer drought” and, in more severe cases, the death of the plant. In adult mature plants, it can result in progressive defoliation [14,15]. In addition to attacking the leaves, anthracnose can affect the cassava plant in all its stages of development, causing canker on the stem and branches and also the death of the plant [16]. The greater incidence and severity of cassava anthracnose are found in more humid locations than in dry locations [14,17]. Under these conditions, losses caused by anthracnose can reach 90% [18]. The pathogen can be spread mainly by infected cuttings and can survive in stems and crop residues in the soil [19].
Historically, Colletotrichum gloeosporioides f.sp. manihotis has been reported as the causal agent of cassava anthracnose worldwide. During the past 20 years, molecular phylogeny has completely changed the classification of the genus Colletotrichum. Most of the early studies on anthracnose etiology were based on morphological characteristics, which is insufficient to correctly identify the diversity of Colletotrichum species associated with this disease [20,21]. Thus, accurately identifying the pathogenic species is critical to understanding the epidemiology of the disease and developing efficient control strategies.
Although there are some reports of Colletotrichum species in association with cultivated cassava [13,22,23], there is no information on the diversity, distribution and aggressiveness of the species causing anthracnose in northern Brazil. Thus, this study aimed to identify the species of the genus Colletotrichum associated with cassava in the region from southeastern Pará to northwest Tocantins, as well as determining the prevalence, aggressiveness and virulence of these species. Identifying the Colletotrichum will guide the management of anthracnose, leading to higher yields in this growing production area.

2. Material and Methods

2.1. Sampling, Isolation and Collection

From January to May 2018, symptomatic leaf samples were collected in 20 municipalities known as producers of cassava, on familiar farms in Pará (10) and Tocantins (10) States (Figure 1). In each municipality, five farms with M. esculenta in different stages of growth and maintained with family labor were sampled. In each farm, ten leaves of the upper third of the plants with typical symptoms of anthracnose were collected.
Infected tissue fragments obtained from the lesion margin, between the necrotic and healthy tissue, were disinfected in 70% ethanol for 30 s and 1% sodium hypochlorite for 1 min. The fragments were plated on potato dextrose agar (PDA) culture medium and incubated for five days at 25 °C with a photoperiod of 12 h. Isolates characteristic of the genus Colletotrichum Sutton [24] were isolated in a pure culture and stored in cryogenic tubes with sterile distilled water [25]. The isolates were deposited in the fungal collection of the Mycology Laboratory at Universidade Federal Rural de Pernambuco. Based on morphological characteristics (colony color, spore size and shape), isolates were selected randomly for level-specific identification through phylogenetic analysis.

2.2. DNA Extraction, PCR Amplification and DNA Sequencing

The Colletotrichum isolates were cultivated in PDA for 7 days at 27 °C, under a 12 h photoperiod in the Mycology Laboratory at Universidade Federal Rural de Pernambuco, PE, Brazil. Aerial mycelium was scraped from the colony surface, and genomic DNA was extracted following the cetyltrimethylammonium bromide (CTAB) protocol, with some modifications [26]. The DNA concentration was visually estimated on a 0.8% agarose gel.
The intergenic spacer between the 3′ end of the DNA lyase and the mating-type MAT1-2 (APN2/MAT-IGS) locus was initially amplified for all isolates to determine the species belonging to the Gloeosporioides complex. For those isolates in which this gene did not amplify, amplification of the partial region of the glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene was performed to identify if they belonged to other complexes and select the markers for multilocus analysis. The different haplotypes were identified using the DnaSP 4.0 software [27], and an isolate representing each haplotype was chosen at random and subjected to multilocus analysis. DNA lyase (APN2), glyceraldehyde-3-phosphate dehydrogenase-IGS (GAP2-IGS), β-tubulin (TUB2), calmodulin (CAL), chitin synthase 1 (CHS-1), histone H3 (HIS3) and actin (ACT) were amplified and sequenced for representative isolates according to the identity of the complexes. The primers used are listed in Supplementary Table S1.
The PCR conditions for APN2/MAT-IGS and APN2 constituted an initial denaturation step at 95 °C for 5 min, followed by 40 cycles at 95 °C for 30 s, 62 °C for 45 s, 72 °C for 1 min and a final extension at 72 °C for 10 min. The annealing temperature differed for each of the other genes: ACT and CAL—57 °C, GAPDH—55 °C, GAP2-IGS—58 °C, HIS3—52 °C and TUB2 and CHS-1—53 °C. PCR products were separated by electrophoresis on 1.5% agarose gel in 1.0X Tris-acetate-EDTA (TAE) buffer, photographed under UV light and purified by precipitation in ammonium acetate and ethanol. Sequencing of all loci was performed using ABI PRISM® BigDye® terminator v3 cycle sequencing kits (Applied Biosystems, Waltham, MA, USA), on the LABCEN/CCB sequencing platform at the Universidade Federal de Pernambuco, Recife, PE, Brazil.

2.3. Phylogenetic Analysis and Species Recognition

Nucleotide sequence quality analysis and consensus assembly were performed using the Staden Package v.2.0.0, 1998 [28]. All consensus sequences were compared to those from the NCBI nucleotide database using the BLAST algorithm [29], to confirm the taxonomic identities of the isolates. Sequences of Colletotrichum ex-type species were obtained from GenBank, where the sequences generated in this study were deposited (Supplementary Table S2). The alignment of the multiple sequences of each individual locus was estimated online using the G-INS-i strategy in the MAFFT 7 version [30,31], with default parameters for gap opening and extension and a 200PAM/κ = 2 nucleotide scoring matrix, and manually adjusted when necessary using MEGA6 [32].
Phylogenetic analyses were performed using Maximum Likelihood (ML) and Bayesian Inference (BI) methods for individual and concatenated genes. The ML and BI analyses were performed using RAXML-HCP2 v.7.0.4 (STAMATAKIS, 2014) and MrBayes v 3.2.1 [33], respectively, which were implemented in the CIPRES cluster (https://www.phylo.org/portal2/home.action (accessed on 13 June 2023)). ML analyses were performed with 1000 pseudo-replicates (-m GTRGAMMA -p 12345 -k -f a -N 1000 -x 12345) under the model GTRGAMMA.
Nucleotide substitution models were estimated in MrModeltest 2.3 [34], using the Akaike information criterion (AIC) for each locus individually. The concatenated matrix was partitioned with each locus with its referent nucleotide substitution model using SequenceMatrix v.1.8 [35]. Four Markov Monte Carlo chains (MCMCs) were conducted for 107 generations, and trees were sampled every 1000 generations. Convergence of all parameters was verified using Tracer v 1.5 [36], and the first 25% of generations were discarded as burn-in. FigTree version 1.4.3 [37] was used to visualize the phylogenetic tree.
Evolutionary lineages were recognized using the Genealogical Concordance Phylogenetic Species Recognition approach, as described in [38,39,40]. In this method, one lineage was considered to be independently evolved if it was strongly supported as monophyletic in the concatenated analysis and met at least one of the following criteria: one clade was concordant when it was present in most individual gene trees (i.e., minim in 4 of 7), and one clade was non-discordant when it was supported by BI (post probability 0.95) and ML (bootstrap 70%) analyses on a single gene tree and did not conflict with any other single genealogy at the same level of support.

2.4. Prevalence of Colletotrichum Species

The prevalence (P) of Colletotrichum species associated with anthracnose in M. esculenta was determined in the northern region of Brazil, separately, in the states of Pará and Tocantins, according to the municipality of collection. The prevalence was calculated with the following formula: P (%) = (Nx/Nt) × 100, where P = prevalence, Nx = number of isolates of the same species and Nt = total number of isolates [41].

2.5. Pathogenicity, Aggressiveness and Virulence

To verify the pathogenicity of Colletotrichum species, initially, the pathogenicity assay was performed on cassava leaves (Var. Formosa) close to 90 days old. Fungal inoculum was produced in Petri dishes contained PDA culture medium, under a 12 h photoperiod and 27 °C, until sporulation was confirmed. The recovered conidial suspension was adjusted to 2 × 106 conidia mL−1 and sprayed on the leaves until there was run-off. The inoculated plants were kept in a humid chamber, at a 27 °C for 36 h. Afterwards, the plants were kept in the greenhouse for 10 days when the evaluations were completed. Three replicates were used for each isolate, with one plant considered a replicate. The pathogenicity of the isolates was confirmed by the presence of typical anthracnose symptoms. The fungal pathogen was reisolated, fulfilling Koch’s Postulates. Aggressiveness, defined by the speed at which symptoms appeared, was determined on the second day after inoculation, when the first symptoms of the disease appeared on the leaves. It was measured by the % infected leaf area and the % infected leaves. Then, analysis of variance and the Tukey test were performed using the SISVAR software program [42]. Virulence was evaluated the 2nd day after inoculation and the 12th day. We evaluated the % of infected leaves and infected leaf area according to the following scale: 0 = healthy plant; 1 = <1%, 3 = 1–5%, 5 = 6–25%, 7 = 26–50% and 9 = >50% of the diseased leaf area [43]. Virulence, which corresponds to the amount of disease induced by the pathogen in the host, was evaluated by adopting the % of infected leaf area and the % of infected leaves on the 12th day of inoculation. The difference in virulence between species was evaluated by Tukey’s test, with 0.5% significance, using Sisvar v.5.7 software [42]. Normality and homogeneity tests using Package R [44] software were performed.

3. Results

3.1. Collection and Isolation

The presence of the genus Colletotrichum was detected in the twenty municipalities of the two states of Brazil. A total of 51 isolates with phenotypic characteristics of Colletotrichum were obtained from cassava with the following frequency: 42 in Pará and 9 in Tocantins States.
After reisolation in the laboratory of the samples collected and the completion of Koch’s Postulates, the pathogenicity of 44 of the inoculated isolates of Colletotrichum was confirmed. Based on their morphology, 30 of the proven pathogenic isolates were randomly chosen for level-specific identification through phylogenetic analysis.

3.2. Phylogenetic Analyses and Species Assignment

By sequencing the partial region of GAPDH and the intergenic spacer APN2/MAT-IGS of 30 Colletotrichum isolates from cassava leaves, we obtained 15 haplotypes (H1-H15). The GAPDH sequences revealed a total of eight haplotypes, whereas seven haplotypes were obtained from APN2/MAT-IGS sequences. BLAST searches revealed that haplotypes H1-H7 belong to C. gloeosporioides sensu lato, H8-H12 to C. orchidearum s. l., H13-H14 to C. boninense s. l. and H15 to C. truncatum s. l. Fifteen representative isolates were randomly chosen for further multilocus analysis. Isolates from cassava were distributed in seven main clades according to the multilocus analysis (Figure 2 and Figure 3). Following the GCPSR, all species were recognized as independent phylogenetic lineages.
One of the isolates was identified as C. truncatum, which was well-supported on both ML and BI analyses, and retrieved as monophyletic from all individual gene trees. This species was supported by high bootstrap and posterior probability values for the TUB2 and GAPDH gene trees (Figure 2). Four isolates were identified as Colletotrichum plurivorum, and one isolate was Colletotrichum musicola. Both clades were strongly supported by ML and BI analyses and were retrieved from all individual gene trees with high support, except for C. pluviorum on the CHS-1 tree. Two isolates were recognized as Colletotrichum karstii, which were nested with significant support on multilocus analyses and the individual gene trees (Figure 2).
Two isolates were nested within Colletotrichum chrysophilum, two isolates were grouped with Colletotrichum fructicola and three isolates were identified as Colletotrichum siamense. They were strongly supported in both ML and BI analyses. Meanwhile, C. chrysophilum was shown as monophyletic with high values of bootstrap and posterior probability on the APN2 and GAP-IGS gene trees, while C. fructicola presented high support on most individual gene trees. On the other hand, C. siamense was recovered from the APN2/MAT-IGS and GAP-IGS trees with strong support in both the ML and BI analyses (Figure 3).
Most species were represented by several isolates. If considering the GAPDH region, C. plurivorum comprised four haplotypes and 15 isolates (H8: 2; H9: 2; H10: 10; and H11: 1 isolate, respectively). Two species were represented by one haplotype each, C. musicola (H12: 2 isolates) and C. trucatum (H15: 1 isolate), whereas C. karsti was represented by two haplotypes (H13: 1 and H14: 1 isolate each). In contrast, the APN2/MAT-IGS region revealed that C. siamense comprised three haplotypes with five isolates (H5: 1; H6: 1; and H7: 3 isolates, respectively), while C. chrysophilum and C. fructicola were represented by two haplotypes each (H1: 1, and H2: 1 isolates, and H3: 1, and H4: 2 isolates, respectively).

3.3. Species Prevalence of Colletotrichum Isolates by Locality

A total of seven species of Colletotrichum were found in cassava crops in northern Brazil, as follows: C. fructicola, C. karsti, C. plurivorum, C. musicola, C. siamense, C. truncatum and C. chrysophilum in Para State and C. plurivorum and C. fructicola in Tocantins State (Figure 4). C. plurivorum had the highest frequency among all species (41.07%) in Pará and 80% in Tocantins States (Figure 4).

3.4. Aggressiveness and Virulence of Colletotrichum Manihot esculenta

(a)
Aggressiveness
On the first day after inoculation, there were no visible symptoms on the leaves. For all species, symptoms appeared on the second day after inoculation, but to varying degrees. Colletotrichum truncatum was the most aggressive compared with the other recovered species (F = 6.85; df= 6; p = 0.0015), causing leaf lesions in 31.8% of the plant leaves, with C. plurivorum, C fructicula and C. karsti causing leaf lesions in <20% of the leaves of M. esculenta (Figure 5A). However, despite differences in the number of infected leaves in the plants, the infected leaf areas in each leaf were similar for all species (F = 1.09; df = 6; p = 0.245) (Figure 5B).
  • (b) Virulence in cassava leaves
Ten days after inoculation, the symptoms of anthracnose in cassava plants were already well-defined (Figure 6A). The species C. chrysophilum, C. truncatum and C. siamense had a greater incidence in M. esculenta leaves, while the other species caused <30% of infection in the leaves (F = 4.06; df = 6; p = 0.014) (Figure 6B). Similarly, C. chrysophilum and C truncatum infected more than 5% of the total leaf area, while C fructicola caused <1.9% of infection (F = 11.9; d f = 6; p = 0.0001) (Figure 6C).

4. Discussion

Our results represent the first survey of Colletotrichum species associated with cassava anthracnose in commercial crops in northern Brazil. A great diversity of Colletotrichum species was found in the northern region of Brazil, with a total of seven species in the State of Pará and two in Tocantins. After isolation, pathogenicity, virulence and phylogenetic analyses, our results show that C. plurivorum, C. siamense, C. fructicola, C. chrysophilum, C. karsti, C. musicola and C. truncatum were responsible for anthracnose in cassava leaves with different levels of severity of the symptoms. Among the seven species identified, C. chrysophilum proved to be the most virulent, while C. fructicola was the least. Colletotrichum plurivorum (sic) predominated in cassava crops in both Pará and Tocantins, with a higher incidence in Tocantins. A similar prevalence has been reported in other crops across the Amazon region and northeastern states of Brazil [41]. Such a prevalence may be attributed to the species’ diversity and wide host range [12,45], or to facilitated dissemination due to small-scale farming, extensive exchange of propagation material among producers and consecutive planting lacking proper cultural treatment. Although, in crops in tropical countries, this species is reported as the main cause of anthracnose [46], including that in okra (Abelmoschus esculentus) in Para State, Brazil [47], the high prevalence of C. plurivorum found in our study is not necessarily causing significant virulence in cassava. It could be that this species of C. plurivorum is less aggressive than others or is the most well-tolerated by the cassava var. Formosa.
Colletotrichum fructicola was also found both in the Pará and Tocantins States. This species is well-distributed in several regions of Brazil, being reported different ecosystems [14,48]. Although C. fructicola is associated with anthracnose disease on several fruit crops [49,50,51,52] and others including cassava [14,22], our study revealed that this species is less aggressive and virulent than others in cassava plants var. Formosa. On the other hand, C. chrysophilum was found only in Pará State crops and with a lower prevalence; however, it was the most aggressive and virulent species in cassava crops. Our results are in accordance with those of another study [23], which reported this species in Brazil as the anthracnose agent in cassava crops. Similarly, this disease in blueberry plants [53], açaí plants [54] and banana fruits [55] was found to be caused by C. chrysophilum. Therefore, our findings could sound an alarm that there is a need for the establishment of preventive measures for this pathogen. The other species found here, C. karsti, C. musicola, C. siamense and C. truncatum, also caused anthracnose in cassava leaves but had a virulence level 3, i.e., 1–5% of leaf area affected, less than that of C. chrysophilum. However, these findings should nonetheless serve as an alert for farmers because these species have been highlighted as causes of anthracnose on others crops. For instance, C. karsti was reported in different crops in Brazil [56,57,58], along with C. musicola [59], C. siamense [60,61,62] and C. truncatum [63], and those crops could serve as reservoir hosts. There is a potential risk that when new clones of cassava different to var. Formosa are introduced, that they could be affected differently by the different species of Colletotrichum. When analyzing the results of this study and also taking into account that var. Formosa is the most cultivated cassava in the sampled producing regions of Tocantins and Pará, and considering the potential for pathogenic variability of Colletotrichum spp., it can be surmised that there is a differential interaction in response to infection for this genotype, which is revealed in aggressiveness and virulence bioassays. Therefore, as a control strategy, producers must continue planting different clones and other cassava cultivars, to avoid large epidemics of anthracnose in cultivated areas. It is known that for pathogens with high variability, the planting of one or a few cultivars in large areas stimulates the rapid breakdown of resistance, resulting in strong epidemics.
In conclusion, knowledge of the prevalence of pathogenic species, their aggressiveness and their virulence can be important information in the adoption of control measures, such as crop rotation and the use of resistant cultivars. Mapping the prevalence of these species and their virulence in each producing region can contribute to the development of genes providing resistance to pathotypes and thus raise the durability of the resistance of cultivars. There should also be a search for new sources of resistance that are more effective than those at present in controlling the disease. These measures, in addition to prolonging the useful life of cultivars, will also serve to reduce production costs, avoid high environmental risks due to the excessive use of pesticides and contribute to increasing the productivity of the cassava crop.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof10060367/s1, Table S1: Primers used in this study (sequence and reference); Table S2: Colletotrichum species complex, strains of Colletotrichum spp. included in the present study and GenBank accession numbers.

Author Contributions

Conceptualization, G.R.d.S.; Methodology, S.d.C.S.M., J.S.V., M.P.S.C., W.A.S.V. and G.R.d.S.; Validation, M.P.S.C. and S.H.C.A.; Formal analysis, J.S.V., M.P.S.C., W.A.S.V., M.V.G. and E.E.O.; Investigation, R.W.S.A. and M.V.G.; Resources, S.d.C.S.M.; Writing—original draft, S.d.C.S.M., R.W.S.A. and C.B.M.; Writing—review & editing, W.A.S.V., L.O.V.J., A.S.R.C., F.S.C., S.H.C.A., E.E.O. and G.R.d.S.; Supervision, M.P.S.C. and G.R.d.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pushpalatha, R.; Gangadharan, B. Is Cassava (Manihot esculenta Crantz) a climate “Smart” crop? A review in the context of bridging future food demand gap. Trop. Plant Biol. 2020, 13, 201–211. [Google Scholar] [CrossRef]
  2. Krishnakumar, T.; Sajeev, M.; Raju, S.; Giri, N.; Pradeepika, C.; Bansode, V. Studies on the development of cassava based reconstituted dry starch sago with modified starch as binder and characterization of its physico-functional properties. J. Environ. Biol. 2020, 41, 29–34. [Google Scholar] [CrossRef]
  3. Boukhers, I.; Boudard, F.; Morel, S.; Servent, A.; Portet, K.; Guzman, C.; Vitou, M.; Kongolo, J.; Michel, A.; Poucheret, P. Nutrition, healthcare benefits and phytochemical properties of cassava (Manihot esculenta) leaves sourced from three countries (Reunion, Guinea, and Costa Rica). Foods 2022, 11, 2027. [Google Scholar] [CrossRef]
  4. Fathima, A.A.; Sanitha, M.; Tripathi, L.; Muiruri, S. Cassava (Manihot esculenta) dual use for food and bioenergy: A review. Food Energy Secur. 2023, 12, e380. [Google Scholar] [CrossRef]
  5. Abotbina, W.; Sapuan, S.M.; Ilyas, R.A.; Sultan, M.T.H.; Alkbir, M.F.M.; Sulaiman, S.; Harussani, M.M.; Bayraktar, E. Recent developments in cassava (Manihot esculenta) based biocomposites and their potential industrial applications: A comprehensive Review. Materials 2022, 15, 6992. [Google Scholar] [CrossRef]
  6. da Silva Pereira, G.V.; da Silva Pereira, G.V.; Xavier Neves, E.M.P.; Albuquerque, G.A.; de Arimatéia Rodrigues do Rêgo, J.; Cardoso, D.N.P.; do Socorro Barros Brasil, D.; Joele, M.R.S.P. Effect of the mixture of polymers on the rheological and technological properties of composite films of acoupa weakfish (Cynoscion acoupa) and cassava starch (Manihot esculenta C.). Food Bioprocess. Technol. 2021, 14, 1199–1215. [Google Scholar] [CrossRef]
  7. FAO. Food Supply: Crops Primary Equivalent; FAO: Quebec City, QC, Canada, 2020; Volume 2022. [Google Scholar]
  8. Ono, L.T.; Taniwaki, M.H. Fungi and mycotoxins in cassava (Manihot esculenta Crantz) and its products. Braz. J. Food Technol. 2021, 24, e2020240. [Google Scholar] [CrossRef]
  9. Ono, L.T.; Silva, J.J.; Doná, S.; Martins, L.M.; Iamanaka, B.T.; Fungaro, M.H.P.; Pitt, J.I.; Taniwaki, M.H. Aspergillus section Flavi and aflatoxins in Brazilian cassava (Manihot esculenta Crantz) and products. Mycotoxin Res. 2021, 37, 221–228. [Google Scholar] [CrossRef]
  10. EMBRAPA. Mandioca em Números, Embrapa Amazônia Oriental. Available online: https://www.embrapa.br/congresso-de-mandioca-2018/mandioca-em-numeros (accessed on 7 October 2021).
  11. Wokocha, R.; Nneke, N.; Umechuruba, C. Screening Colletotrichum gloeosporioides f. sp Manihotis isolates for virulence on cassava in Akwa Ibom state of Nigeria. Agro-Science 2010, 9, 56–63. [Google Scholar] [CrossRef]
  12. Liu, X.; Shi, T.; Li, B.; Cai, J.; Li, C.; Huang, G. Colletotrichum species associated with cassava anthracnose in China. J. Phytopathol. 2019, 167, 12765. [Google Scholar] [CrossRef]
  13. Oliveira, S.A.S.; Silva, L.L.; Diamantino, M.S.A.S.; Ferreira, C.F. First Report of Colletotrichum theobromicola and C. siamense causing anthracnose on cultivated and wild cassava species in Brazil. Plant Dis. 2018, 102, 819. [Google Scholar] [CrossRef]
  14. de Oliveira, S.A.S.; da Silva, L.L.; Nascimento, D.d.S.; Diamantino, M.S.A.S.; Ferreira, C.F.; de Oliveira, T.A.S. Colletotrichum species causing cassava (Manihot esculenta Crantz) anthracnose in different eco-zones within the Recôncavo Region of Bahia, Brazil. J. Plant Dis. Prot. 2020, 127, 411–416. [Google Scholar] [CrossRef]
  15. Morais, M.d.S.; Nascimento, L.C.d.; Moreira, K.A.; Cavalcanti, M.d.S.; Oliveira, N.T.d. Levantamento e avaliação da incidência das doenças da mandioca no estado da Paraíba. Summa Phytopathol. 2013, 39, 204–206. [Google Scholar] [CrossRef]
  16. Kunkeaw, S.; Worapong, J.; Smith, D.R.; Triwitayakorn, K. An in vitro detached leaf assay for pre-screening resistance to anthracnose disease in cassava (Manihot esculenta Crantz). Australas. Plant Pathol. 2010, 39, 547–550. [Google Scholar] [CrossRef]
  17. Onyeka, T.; Owolade, O.; Ogunjobi, A.; Dixon, A.G.; Okechukwu, R.; Bamkefa, B. Prevalence and severity of bacterial blight and anthracnose diseases of cassava in different agroecological zones of Nigeria. Afr. J. Agric. Res. 2008, 3, 049–059. [Google Scholar]
  18. Sangpueak, R.; Phansak, P.; Buensanteai, N. Morphological and molecular identification of Colletotrichum species associated with cassava anthracnose in Thailand. J. Phytopathol. 2018, 166, 129–142. [Google Scholar] [CrossRef]
  19. Fokunang, C.; Dixon, A. Postharvest evaluation of Colletotrichum gloeosporiodes f. sp. manihotis on cassava genotypes. Plant Pathol. J. 2006, 5, 60–66. [Google Scholar] [CrossRef]
  20. Vieira, W.A.d.S.; Bezerra, P.A.; Silva, A.C.d.; Veloso, J.S.; Câmara, M.P.S.; Doyle, V.P. Optimal markers for the identification of Colletotrichum species. Mol. Phylogenet. Evol. 2020, 143, 106694. [Google Scholar] [CrossRef]
  21. Hyde, K.; Cai, L.; Cannon, P.; Crouch, J.; Crous, P.; Damm, U.; Goodwin, P.; Chen, H.; Johnston, P.; Jones, E. Colletotrichum names in current use. Fungal Divers. 2009, 39, 147–182. [Google Scholar]
  22. Bragança, C.; Silva, L.; Haddad, F.; Oliveira, S. First report of Colletotrichum fructicola causing anthracnose in cassava (Manihot esculenta Crantz) in Brazil. Plant Dis. 2016, 100, 857. [Google Scholar] [CrossRef]
  23. Machado, S.d.C.; Veloso, J.S.; Câmara, M.P.; Campos, F.; Sarmento, R.d.A.; Giongo, M.V.; dos Santos, G.R. First report of Colletotrichum chrysophillum causing cassava Anthracnose in Brazil. Plant Dis. 2021, 105, 1196. [Google Scholar] [CrossRef]
  24. Sutton, B.C. The Coelomycetes. Fungi Imperfecti with Pycnidia, Acervuli and Stromata; Commonwealth Mycological Institute: Kew, UK, 1980; pp. 1–696. [Google Scholar]
  25. Castellani, A. Maintenance and cultivation of common pathogenic fungi of man in sterile distilled water. Further researches. Am. J. Trop. Med. Hyg. 1967, 70, 181–184. [Google Scholar]
  26. Doyle, J.J. Isolation of plant DNA from fresh tissue. Focus 1990, 12, 13–15. [Google Scholar]
  27. Rozas, J.; Sánchez-DelBarrio, J.C.; Messeguer, X.; Rozas, R. DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics 2003, 19, 2496–2497. [Google Scholar] [CrossRef]
  28. Staden, R.; Beal, K.F.; Bonfield, J.K. The Staden Package, 1998. In Bioinformatics Methods and Protocols; Misener, S., Krawetz, S.A., Eds.; Humana Press: Totowa, NJ, USA, 1999; pp. 115–130. [Google Scholar]
  29. Johnson, M.; Zaretskaya, I.; Raytselis, Y.; Merezhuk, Y.; McGinnis, S.; Madden, T.L. NCBI BLAST: A better web interface. Nucleic. Acids. Res. 2008, 36, W5–W9. [Google Scholar] [CrossRef]
  30. Katoh, K.; Standley, D.M. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef]
  31. Katoh, K.; Rozewicki, J.; Yamada, K.D. MAFFT online service: Multiple sequence alignment, interactive sequence choice and visualization. Brief. Bioinform. 2019, 20, 1160–1166. [Google Scholar] [CrossRef]
  32. Tamura, K.; Stecher, G.; Peterson, D.; Filipski, A.; Kumar, S. MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Mol. Biol. Evol. 2013, 30, 2725–2729. [Google Scholar] [CrossRef] [PubMed]
  33. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef]
  34. Nylander, J. MrModeltest v25; Program distributed by the author; Evolutionary Biology Centre, Uppsala University: Uppsala, Sweden, 2004. [Google Scholar]
  35. Vaidya, G.; Lohman, D.J.; Meier, R. SequenceMatrix: Concatenation software for the fast assembly of multi-gene datasets with character set and codon information. Cladistics 2011, 27, 171–180. [Google Scholar] [CrossRef]
  36. Drummond, A.; Rambaut, A. Tracer v1. 5. 2007. Available online: http://beast.bio.ed.ac.uk/Tracer (accessed on 14 June 2023).
  37. Rambaut, A. FigTree-Version 1.4. 3, a Graphical Viewer of Phylogenetic Trees. 2017. Available online: http://tree.bio.ed.ac.uk/software/figtree (accessed on 14 June 2023).
  38. Dettman, J.R.; Jacobson, D.J.; Taylor, J.W. A multilocus genealogical approach to phylogenetic species recognition in the model Eukaryote Neurospora. Evolution 2003, 57, 2703–2720. [Google Scholar] [CrossRef] [PubMed]
  39. Doyle, V.P.; Oudemans, P.V.; Rehner, S.A.; Litt, A. Habitat and host indicate lineage identity in Colletotrichum gloeosporioides s.l. from wild and agricultural landscapes in North America. PLoS ONE 2013, 8, e62394. [Google Scholar] [CrossRef] [PubMed]
  40. Taylor, J.W.; Jacobson, D.J.; Kroken, S.; Kasuga, T.; Geiser, D.M.; Hibbett, D.S.; Fisher, M.C. Phylogenetic species recognition and species concepts in fungi. Fungal Genet. Biol. 2000, 31, 21–32. [Google Scholar] [CrossRef] [PubMed]
  41. Cavalcante, G.R.S.; Barguil, B.M.; Vieira, W.A.S.; Lima, W.G.; Michereff, S.J.; Doyle, V.P.; Câmara, M.P.S. Diversity, prevalence, and virulence of Colletotrichum species associated with lima bean in Brazil. Plant Dis. 2019, 103, 1961–1966. [Google Scholar] [CrossRef]
  42. Ferreira, D.F. SISVAR: A computer statistical analysis system. Ciênc. Agrotec. 2011, 35, 1039–1042. [Google Scholar] [CrossRef]
  43. Santos, G.R.d.; Café-Filho, A.C.; Leão, F.F.; César, M.; Fernandes, L.E. Progresso do crestamento gomoso e perdas na cultura da melancia. Hortic. Bras. 2005, 23, 228–232. [Google Scholar] [CrossRef]
  44. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2020. [Google Scholar]
  45. Damm, U.; Sato, T.; Alizadeh, A.; Groenewald, J.Z.; Crous, P.W. The Colletotrichum dracaenophilum, C. magnum and C. orchidearum species complexes. Stud. Mycol. 2018, 90, 71–118. [Google Scholar] [CrossRef] [PubMed]
  46. de Silva, D.D.; Groenewald, J.Z.; Crous, P.W.; Ades, P.K.; Nasruddin, A.; Mongkolporn, O.; Taylor, P.W.J. Identification, prevalence and pathogenicity of Colletotrichum species causing anthracnose of Capsicum annuum in Asia. IMA Fungus 2019, 10, 8. [Google Scholar] [CrossRef] [PubMed]
  47. Batista, I.C.A.; Boari, A.d.J.; Kauffmann, C.M.; Nechet, K.d.L. Colletotrichum plurivorum causes anthracnose on okra in Brazil. J. Plant Pathol. 2020, 102, 1331. [Google Scholar] [CrossRef]
  48. Costa, J.F.O.; Ramos-Sobrinho, R.; Chaves, T.P.; Silva, J.R.A.; Pinho, D.B.; Assunção, I.P.; Lima, G.S.A. First report of Colletotrichum fructicola causing anthracnose on Annona leaves in Brazil. Plant Dis. 2017, 101, 386. [Google Scholar] [CrossRef]
  49. Sharma, G.; Shenoy, B.D. Colletotrichum fructicola and C. siamense are involved in chilli anthracnose in India. Arch. Phytopathol. Plant Prot. 2014, 47, 1179–1194. [Google Scholar] [CrossRef]
  50. Lima, N.B.; Batista, M.V.d.A.; De Morais, M.A.; Barbosa, M.A.G.; Michereff, S.J.; Hyde, K.D.; Câmara, M.P.S. Five Colletotrichum species are responsible for mango anthracnose in northeastern Brazil. Fungal Divers. 2013, 61, 75–88. [Google Scholar] [CrossRef]
  51. Park, M.S.; Kim, B.-R.; Park, I.-H.; Hahm, S.-S. First Report of two Colletotrichum species associated with bitter rot on apple fruit in Korea—C. fructicola and C. siamense. Mycobiology 2018, 46, 154–158. [Google Scholar] [CrossRef]
  52. EFSA Panel on Plant Health (PLH); Bragard, C.; Dehnen-Schmutz, K.; Di Serio, F.; Gonthier, P.; Jacques, M.-A.; Jaques Miret, J.A.; Justesen, A.F.; MacLeod, A.; Magnusson, C.S.; et al. Pest categorisation of Colletotrichum fructicola. EFSA J. 2021, 19, e06803. [Google Scholar] [CrossRef] [PubMed]
  53. Soares, V.F.; Velho, A.C.; Stadnik, M.J. First Report of Colletotrichum chrysophilum Causing Anthracnose on Blueberry in Brazil. Plant Dis. 2022, 106, 322. [Google Scholar] [CrossRef] [PubMed]
  54. dos Santos, G.R.; de Moraes, A.J.G.; Cavalcante, A.d.P.d.S.; da Silva, G.B. First report of leaf anthracnose caused by Colletotrichum chrysophilum on açaí palm (Euterpe oleracea Mart.) in Brazil. J. Gen. Plant Pathol. 2022, 88, 212–216. [Google Scholar] [CrossRef]
  55. Vieira, W.A.S.; Lima, W.G.; Nascimento, E.S.; Michereff, S.J.; Câmara, M.P.S.; Doyle, V.P. The impact of phenotypic and molecular data on the inference of Colletotrichum diversity associated with Musa. Mycologia 2017, 109, 912–934. [Google Scholar] [CrossRef] [PubMed]
  56. Soares, V.F.; Velho, A.C.; Carachenski, A.; Astolfi, P.; Stadnik, M.J. First Report of Colletotrichum karstii causing Anthracnose on strawberry in Brazil. Plant Dis. 2021, 105, 3295. [Google Scholar] [CrossRef]
  57. Sousa, E.S.; Carvalho, G.d.S.; Barguil, B.M.; Matos, K.d.S.; Beserra, J.E.A. First report of anthracnose on Spigelia anthelmia caused by Colletotrichum karstii and Colletotrichum siamense in Brazil. J. Plant Dis. Prot. 2021, 128, 875–880. [Google Scholar] [CrossRef]
  58. Nascimento, M.B.; Bellé, C.; Azambuja, R.M.; Maich, S.L.P.; Neves, C.G.; Souza-Junior, I.T.; Jacobsen, C.R.F.; Barros, D.R. First report of Colletotrichum karstii Causing anthracnose spot on pitaya (Hylocereus undatus) in Brazil. Plant Dis. 2019, 103, 2137. [Google Scholar] [CrossRef]
  59. Boufleur, T.R.; Castro, R.R.L.; Rogério, F.; Ciampi-Guillardi, M.; Baroncelli, R.; Massola Júnior, N.S. First report of Colletotrichum musicola causing soybean anthracnose in Brazil. Plant Dis. 2020, 104, 1858. [Google Scholar] [CrossRef]
  60. Capobiango, N.P.; Pinho, D.B.; Zambolim, L.; Pereira, O.L.; Lopes, U.P. Anthracnose on strawberry fruits caused by Colletotrichum siamense in Brazil. Plant Dis. 2016, 100, 859. [Google Scholar] [CrossRef]
  61. Soares, M.G.O.; Alves, E.; Silveira, A.L.; Pereira, F.D.; Guimarães, S.S.C. Colletotrichum siamense is the main aetiological agent of anthracnose of avocado in south-eastern Brazil. Plant Pathol. 2021, 70, 154–166. [Google Scholar] [CrossRef]
  62. Fantinel, V.S.; Muniz, M.F.B.; Blume, E.; Araújo, M.M.; Poletto, T.; da Silva, T.T.; Dutra, A.F.; Maciel, C.G.; Harakava, R. First Report of Colletotrichum siamense causing anthracnose on Acca sellowiana fruits in Brazil. Plant Dis. 2017, 101, 1035. [Google Scholar] [CrossRef]
  63. Rogério, F.; Ciampi-Guillardi, M.; Barbieri, M.C.G.; Bragança, C.A.D.; Seixas, C.D.S.; Almeida, A.M.R.; Massola, N.S., Jr. Phylogeny and variability of Colletotrichum truncatum associated with soybean anthracnose in Brazil. J. Appl. Microbiol. 2017, 122, 402–415. [Google Scholar] [CrossRef]
Figure 1. Locations (green and purple) of samples collected in the Pará (gray) and Tocantins (green) states of cassava crops infested with Colletotrichum species.
Figure 1. Locations (green and purple) of samples collected in the Pará (gray) and Tocantins (green) states of cassava crops infested with Colletotrichum species.
Jof 10 00367 g001
Figure 2. Maximum likelihood tree of Colletotrichum species inferred from a concatenated alignment of the following genes: ACT, TUB2, GAPDH, CHS-1 and HIS3. Bootstrap support values (ML ≥ 70) and Bayesian posterior probability values (PP ≥ 0.95) are shown at nodes. “-” indicates non-significant support or node absence, former types are emphasized in bold Cassava isolates from the present study are highlighted in pink and marked with asterisks. The tree is rooted at the midpoint. The scale bar indicates the estimated number of replacements per site.
Figure 2. Maximum likelihood tree of Colletotrichum species inferred from a concatenated alignment of the following genes: ACT, TUB2, GAPDH, CHS-1 and HIS3. Bootstrap support values (ML ≥ 70) and Bayesian posterior probability values (PP ≥ 0.95) are shown at nodes. “-” indicates non-significant support or node absence, former types are emphasized in bold Cassava isolates from the present study are highlighted in pink and marked with asterisks. The tree is rooted at the midpoint. The scale bar indicates the estimated number of replacements per site.
Jof 10 00367 g002
Figure 3. Maximum likelihood tree of the Colletotrichum gloeosporioides species complex inferred from a concatenated alignment of Apn2/MAT-IGS, Apn2 and GAP2-IGS. Bootstrap support values (ML ≥ 70) and Bayesian posterior probability values (PP ≥ 0.95) are shown at nodes. “-” indicates non-significant support or node absence, former types are emphasized in bold. Cassava isolates from the present study are highlighted in pink and marked with asterisks. The tree is rooted at the midpoint. The scale bar indicates the estimated number of replacements per site.
Figure 3. Maximum likelihood tree of the Colletotrichum gloeosporioides species complex inferred from a concatenated alignment of Apn2/MAT-IGS, Apn2 and GAP2-IGS. Bootstrap support values (ML ≥ 70) and Bayesian posterior probability values (PP ≥ 0.95) are shown at nodes. “-” indicates non-significant support or node absence, former types are emphasized in bold. Cassava isolates from the present study are highlighted in pink and marked with asterisks. The tree is rooted at the midpoint. The scale bar indicates the estimated number of replacements per site.
Jof 10 00367 g003
Figure 4. Prevalence (%) of Colletotrichum species in cassava leaves collected from commercial areas in the states of Pará and Tocantins.
Figure 4. Prevalence (%) of Colletotrichum species in cassava leaves collected from commercial areas in the states of Pará and Tocantins.
Jof 10 00367 g004
Figure 5. Aggressiveness of Colletotrichum species on cassava plants, var. Formosa, at 2 days after inoculation. Incidence or percentage of infected leaves (A) and infected leaf area (B). Vertical bars grouped under the same horizontal line are not significantly different (Tukey < 0.05).
Figure 5. Aggressiveness of Colletotrichum species on cassava plants, var. Formosa, at 2 days after inoculation. Incidence or percentage of infected leaves (A) and infected leaf area (B). Vertical bars grouped under the same horizontal line are not significantly different (Tukey < 0.05).
Jof 10 00367 g005
Figure 6. Symptoms of anthracnose on leaves in the cassava plant, var. Formosa, on the 10th day after inoculation with Colletotrichum (A). Incidence or percentage of infected leaves (B) and infected leaf area (C). Vertical bars grouped under the same horizontal line are not significantly different (Tukey test < 0.05).
Figure 6. Symptoms of anthracnose on leaves in the cassava plant, var. Formosa, on the 10th day after inoculation with Colletotrichum (A). Incidence or percentage of infected leaves (B) and infected leaf area (C). Vertical bars grouped under the same horizontal line are not significantly different (Tukey test < 0.05).
Jof 10 00367 g006
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Machado, S.d.C.S.; Veloso, J.S.; Câmara, M.P.S.; Vieira, W.A.S.; Jumbo, L.O.V.; Aguiar, R.W.S.; Cangussu, A.S.R.; Giongo, M.V.; Moraes, C.B.; Campos, F.S.; et al. Diversity, Prevalence and Virulence of Colletotrichum Species Causing Anthracnose on Cassava Leaves in the Northern Region of Brazil. J. Fungi 2024, 10, 367. https://doi.org/10.3390/jof10060367

AMA Style

Machado SdCS, Veloso JS, Câmara MPS, Vieira WAS, Jumbo LOV, Aguiar RWS, Cangussu ASR, Giongo MV, Moraes CB, Campos FS, et al. Diversity, Prevalence and Virulence of Colletotrichum Species Causing Anthracnose on Cassava Leaves in the Northern Region of Brazil. Journal of Fungi. 2024; 10(6):367. https://doi.org/10.3390/jof10060367

Chicago/Turabian Style

Machado, Stella de C. S., Josiene S. Veloso, Marcos P. S. Câmara, Willie A. S. Vieira, Luis O. Viteri Jumbo, Raimundo Wagner S. Aguiar, Alex Sander R. Cangussu, Marcos V. Giongo, Cristiano B. Moraes, Fabricio S. Campos, and et al. 2024. "Diversity, Prevalence and Virulence of Colletotrichum Species Causing Anthracnose on Cassava Leaves in the Northern Region of Brazil" Journal of Fungi 10, no. 6: 367. https://doi.org/10.3390/jof10060367

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop