MCMaisa B. Ciampi

Maisa B. Ciampi

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Maisa B. Ciampi has a total of 3 co-authors. Here are the top co-authors by number of shared publications:

  • Eliana Gertrudes de Macedo Lemos

    Molecular Biology Laboratory, Institute for Research in Bioenergy (IPBEN) and Multiuser Laboratory for Large-Scale DNA Sequencing and Gene Expression Analysis (LMSeq), Faculty of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal 14884-900, SP, Brazil

    1 shared publication
  • Liane Rosewich Gale

    Department of Plant Pathology, University of Minnesota, St. Paul, MN USA

    1 shared publication
  • Paulo Cezar Ceresini

    Department of Crop Protection, Agricultural Engineering and Soil, São Paulo State University—UNESP, Ilha Solteira 15385-000, SP, Brazil

    1 shared publication

Latest Publications

  • Open Access

    Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA

    by Maisa B. Ciampi, Liane Rosewich Gale, Eliana G. de Macedo Lemos, Paulo C. Ceresini

    A series of multilocus sequence-based nuclear DNA markers was developed to infer the phylogeographical history of the Basidiomycetous fungal pathogen Rhizoctonia solani AG-1 IA infecting rice and soybean worldwide. The strategy was based on sequencing of cloned genomic DNA fragments (previously used as RFLP probes) and subsequent screening of fungal isolates to detect single nucleotide polymorphisms (SNPs). Ten primer pairs were designed based on these sequences, which resulted in PCR amplification of 200-320 bp size products and polymorphic sequences in all markers analyzed. By direct sequencing we identified both homokaryon and heterokaryon (i.e. dikaryon) isolates at each marker. Cloning the PCR products effectively estimated the allelic phase from heterokaryotic isolates. Information content varied among markers from 0.5 to 5.9 mutations per 100 bp. Thus, the former RFLP codominant probes were successfully converted into six distinctively variable sequence-based nuclear DNA markers. Rather than discarding low polymorphism loci, the combination of these distinctively variable anonymous nuclear markers would constitute an asset for the unbiased estimate of the phylogeographical parameters such as population sizes and divergent times, providing a more reliable species history that shaped the current population structure of R. solani AG-1 IA.