Microsatellite markers for the fungal banana pathogen <i>Mycosphaerella musicola</i>

Molina, Carlos; Kaemmer, D.; Aponte, Samanda; Weising, Kurt; Kahl, Günter

doi:10.1046/j.1471-8278.2001.00051.x

Cited by 13 publications

(18 citation statements)

References 6 publications

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“…Polymorphisms were analysed at nine SSR loci described for M. musicola (Table ; Molina et al ., ). Primers were labelled with fluorescent dyes (HEX, NED or FAM) and two multiplex PCRs for three loci were conducted: the first with Mm SSR 31, Mm SSR 44 and Mm SSR 46 loci, and the second with Mm SSR 15, Mm SSR 23 and Mm SSR 30 loci.…”

Section: Methodsmentioning

confidence: 97%

“…() in which Southeast Asia was postulated to be the centre of origin and the source of global migrations of this pathogen. SSR markers were also developed to assess genetic variation in M. musicola (Molina et al ., ; Zapater et al ., ), but no study aimed at elucidating the genetic structure of the pathogen population in Brazil has been conducted using such markers.…”

Section: Introductionmentioning

confidence: 98%

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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: Methodsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

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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“…This strategy can be effective, but is costly in resources and time. Its use in the genus Mycosphaerella resulted in the identification of only nine microsatellites in M. graminicola (Owen et al, 1998), 11 in M. fijiensis (Neu et al, 1999) and 26 in M. musicola (Molina et al, 2001), none of which was mapped. Therefore, a great need exists for the identification and genetic mapping of additional microsatellite loci in these species.…”

Section: Introductionmentioning

confidence: 99%

Identification and genetic mapping of highly polymorphic microsatellite loci from an EST database of the septoria tritici blotch pathogen Mycosphaerella graminicola

Goodwin

Lee²,

Cavaletto

et al. 2007

Fungal Genetics and Biology

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“…We have already mentioned the use of RFLPs for population studies of M. fijiensis and M. musicola (Carlier et al 1996;Hayden et al 2003aHayden et al , 2003bHayden et al , 2005. Other molecular-based marker systems which have been developed include PCR-RFLPs for M. fijiensis (an adaptation on RFLPs which does not use labelled probes) , and microsatellite markers used in population studies of M. fijiensis (Neu et al 1999) and M. musicola (Molina et al 2001).…”

Section: Molecular Methods For Sigatoka Diagnosismentioning

confidence: 99%

Black Sigatoka disease: new technologies to strengthen eradication strategies in Australia

Jm¹,

Pattemore²,

Porchun³

et al. 2006

Austral. Plant Pathol.

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Abstract. In 2001, an incursion of Mycosphaerella fijiensis, the causal agent of black Sigatoka, was detected in Australia's largest commercial banana growing region, the Tully Banana Production Area in North Queensland. An intensive surveillance and eradication campaign was undertaken which resulted in the reinstatement of the disease-free status for black Sigatoka in 2005. This was the first time black Sigatoka had ever been eradicated from commercial plantations. The success of the eradication campaign was testament to good working relationships between scientists, growers, crop monitors, quarantine regulatory bodies and industry. A key contributing factor to the success was the deployment of a PCR-based molecular diagnostic assay, developed by the Cooperative Research Centre for Tropical Plant Protection (CRCTPP). This assay complemented morphological identification and allowed high throughput diagnosis of samples facilitating rapid decision-making during the eradication campaign. This paper describes the development and successful deployment of molecular diagnostics for black Sigatoka. Shortcomings in the gel-based assay are discussed and the advantages of highly specific real-time PCR assays, capable of differentiating between Mycosphaerella fijiensis, Mycosphaerella musicola and Mycosphaerella eumusae are outlined. Real-time assays may provide a powerful diagnostic tool for applications in surveillance, disease forecasting and resistance testing for Sigatoka leaf spot diseases.

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Microsatellite markers for the fungal banana pathogen Mycosphaerella musicola

Cited by 13 publications

References 6 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

Identification and genetic mapping of highly polymorphic microsatellite loci from an EST database of the septoria tritici blotch pathogen Mycosphaerella graminicola

Black Sigatoka disease: new technologies to strengthen eradication strategies in Australia

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