Diversidade genética de isolados de Mycosphaerella musicola obtidos de bananais do norte de Minas Gerais, Brasil por meio de marcadores RAPD

Oliveira, Janaína Ribeiro; Nietsche, Sílvia; Costa, Márcia Regina; Mizobutsi, Édson Hiydu; Oliveira, Dario Alves de

doi:10.1590/s0103-84782012005000121

Cited by 2 publications

(5 citation statements)

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“…The high genotypic diversity (97% of the isolates were distinct MLGs) found in Minas Gerais is consistent with a recombining population of a heterothallic fungus as M. musicola . This result corroborates earlier studies in Brazil in which RAPD (Moreira et al ., ; Oliveira et al ., ) or ISSR markers (Peixouto et al ., ) were used. The high genotype:isolate ratio (G:I ratio) was also observed when isolates from Africa or Indonesia were analysed using RFLP markers (Hayden et al ., ).…”

Section: Discussionmentioning

confidence: 99%

“…The state of Minas Gerais is the third largest banana producer in Brazil, accounting for 11% of total production (IBGE, ). However, little is known about the genetic structure of the M. musicola population in this state, given that the sampling employed in the previous studies focused on the northern region of the state (Oliveira et al ., ; Peixouto et al ., ). In order to make stronger inferences about the genetic structure of the M. musicola population, it is necessary to implement a better sampling scheme with larger sample size, collecting isolates from all main producing regions with the aim of obtaining smaller standard errors and consequently more precision, and to use high‐resolution genetic markers.…”

Section: Introductionmentioning

confidence: 99%

“…Little attention has been paid to the genetic structure of the M. musicola population in Brazil. To date, two studies have been conducted using RAPD (Moreira et al ., ; Oliveira et al ., ) and a third study used inter‐simple sequence repeat markers (ISSR) (Peixouto et al ., ) to assess the genetic variability among isolates of the pathogen. All studies found high genetic variability.…”

Section: Introductionmentioning

confidence: 99%

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Yellow sigatoka epidemics caused by a panmictic population of Mycosphaerella musicola in Brazil

Gomes

Douhan²,

Lehner

et al. 2017

Plant Pathology

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The genetic structure of Mycosphaerella musicola has never been investigated in Brazil to address epidemiologically related questions associated with yellow sigatoka. A total of 223 single‐conidium isolates from four regions (North, South, Zona da Mata and Triângulo Mineiro) of Minas Gerais State, Brazil, were used to assess the population genetic structure of M. musicola. Isolates were characterized regarding the frequency of the MAT1‐1‐1 or MAT1‐2‐1 idiomorphs and polymorphism at nine microsatellite loci. The mating‐type ratio in three of the four subpopulations was c. 1:1. A total of 87 alleles and 216 multilocus genotypes were identified. The overall population was in linkage equilibrium. Most (93.9%) genetic variation was detected within the subpopulations and there was weak differentiation between them. In total, eight genetic groups were detected and isolates of seven groups were present in all regions. The population of M. musicola in Minas Gerais seems to have high evolutionary potential: it is panmictic and both sexual reproduction and gene flow affect genetic variability. Strategies to avoid fungicide resistance should be enforced and breeding programmes need to consider quantitative resistance in the banana cultivars.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Yellow sigatoka epidemics caused by a panmictic population of Mycosphaerella musicola in Brazil

Gomes

Douhan²,

Lehner

et al. 2017

Plant Pathology

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“…These studies have either utilized less informative random amplified polymorphic DNA markers, as in the case of studies by Oliveira et al (2013) and Montarroyos (2005), or were restricted to only one or few sample sites, as in the study conducted by Gomes (2012). Despite these limitations, all datasets revealed high genetic variability among M. musicola isolates, as indicated by the large number of unique haplotypes and high genotypic diversity indices.…”

Section: Resultsmentioning

confidence: 99%

“…Applications have included specific primer development for molecular detection of M. musicola (Molina et al, 2001;Zapater et al, 2008), molecular diversity assessment via random amplified polymorphic DNA, (Moreira et al, 2003;Oliveira et al, 2013), restriction fragment length polymorphism (Hayden et al, 2003), and SSRs (Rocha, 2008), as well as sensitivity to fungicides based on the cytochrome b gene (Gomes, 2012).…”

Section: Introductionmentioning

confidence: 99%

Estimation of genetic structure of a Mycosphaerella musicola population using inter-simple sequence repeat markers

et al. 2015

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ABSTRACT. Among the diseases affecting banana (Musa sp), yellow Sigatoka, caused by the fungal pathogen Mycosphaerella musicola Leach, is considered one of the most important in Brazil, causing losses throughout the year. Understanding the genetic structure of pathogen populations will provide insight into the life history of pathogens, including the evolutionary processes occurring in agrosystems. Tools for estimating the possible emergence of pathogen variants with altered pathogenicity, virulence, or aggressiveness, as well as resistance to systemic fungicides, can also be developed from such data. The objective of this study was to analyze the genetic diversity and population genetics of M. musicola in the main banana-producing regions in Brazil. A total of 83 isolates collected from different banana cultivars in the Brazilian states of Bahia, Rio Grande do Norte, and Minas Gerais were evaluated using inter-simple sequence repeat markers. High variability was detected between the isolates, and 85.5% of the haplotypes were singletons in the populations. The highest source of genetic diversity (2015) (97.22%) was attributed to variations within populations. Bayesian cluster analysis revealed the presence of 2 probable ancestral groups, however, showed no relationship to population structure in terms of collection site, state of origin, or cultivar. Similarly, we detected noevidence of genetic recombination between individuals within different states, indicating that asexual cycles play a major role in M. musicola reproduction and that long-distance dispersal of the pathogen is the main factor contributing to the lack of population structure in the fungus.

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Diversidade genética de isolados de Mycosphaerella musicola obtidos de bananais do norte de Minas Gerais, Brasil por meio de marcadores RAPD

Abstract: II Diversidade genética de isolados de

Cited by 2 publications

References 5 publications

Yellow sigatoka epidemics caused by a panmictic population of Mycosphaerella musicola in Brazil

Yellow sigatoka epidemics caused by a panmictic population of Mycosphaerella musicola in Brazil

Estimation of genetic structure of a Mycosphaerella musicola population using inter-simple sequence repeat markers

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