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Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA
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...
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Formato: | Texto |
Lenguaje: | English |
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Sociedade Brasileira de Genética
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036909/ https://www.ncbi.nlm.nih.gov/pubmed/21637462 http://dx.doi.org/10.1590/S1415-47572009005000063 |
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author | Ciampi, Maisa B. Gale, Liane Rosewich de Macedo Lemos, Eliana G. Ceresini, Paulo C. |
author_facet | Ciampi, Maisa B. Gale, Liane Rosewich de Macedo Lemos, Eliana G. Ceresini, Paulo C. |
author_sort | Ciampi, Maisa B. |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-3036909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-30369092011-06-02 Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA Ciampi, Maisa B. Gale, Liane Rosewich de Macedo Lemos, Eliana G. Ceresini, Paulo C. Genet Mol Biol Genetics of Microorganisms 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. Sociedade Brasileira de Genética 2009 2009-12-01 /pmc/articles/PMC3036909/ /pubmed/21637462 http://dx.doi.org/10.1590/S1415-47572009005000063 Text en Copyright © 2009, Sociedade Brasileira de Genética. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genetics of Microorganisms Ciampi, Maisa B. Gale, Liane Rosewich de Macedo Lemos, Eliana G. Ceresini, Paulo C. Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title | Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title_full | Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title_fullStr | Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title_full_unstemmed | Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title_short | Distinctively variable sequence-based nuclear DNA markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen Rhizoctonia solani AG-1 IA |
title_sort | distinctively variable sequence-based nuclear dna markers for multilocus phylogeography of the soybean- and rice-infecting fungal pathogen rhizoctonia solani ag-1 ia |
topic | Genetics of Microorganisms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036909/ https://www.ncbi.nlm.nih.gov/pubmed/21637462 http://dx.doi.org/10.1590/S1415-47572009005000063 |
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