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(GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts?
In microbiology, identification of all isolates by sequencing is still unfeasible in small research laboratories. Therefore, many yeast diversity studies follow a screening procedure consisting of clustering the yeast isolates using MSP-PCR fingerprinting, followed by identification of one or a few...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149466/ https://www.ncbi.nlm.nih.gov/pubmed/25171185 http://dx.doi.org/10.1371/journal.pone.0105870 |
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author | Ramírez-Castrillón, Mauricio Mendes, Sandra Denise Camargo Inostroza-Ponta, Mario Valente, Patricia |
author_facet | Ramírez-Castrillón, Mauricio Mendes, Sandra Denise Camargo Inostroza-Ponta, Mario Valente, Patricia |
author_sort | Ramírez-Castrillón, Mauricio |
collection | PubMed |
description | In microbiology, identification of all isolates by sequencing is still unfeasible in small research laboratories. Therefore, many yeast diversity studies follow a screening procedure consisting of clustering the yeast isolates using MSP-PCR fingerprinting, followed by identification of one or a few selected representatives of each cluster by sequencing. Although this procedure has been widely applied in the literature, it has not been properly validated. We evaluated a standardized protocol using MSP-PCR fingerprinting with the primers (GTG)(5) and M13 for the discrimination of wine associated yeasts in South Brazil. Two datasets were used: yeasts isolated from bottled wines and vineyard environments. We compared the discriminatory power of both primers in a subset of 16 strains, choosing the primer (GTG)(5) for further evaluation. Afterwards, we applied this technique to 245 strains, and compared the results with the identification obtained by partial sequencing of the LSU rRNA gene, considered as the gold standard. An array matrix was constructed for each dataset and used as input for clustering with two methods (hierarchical dendrograms and QAPGrid layout). For both yeast datasets, unrelated species were clustered in the same group. The sensitivity score of (GTG)(5) MSP-PCR fingerprinting was high, but specificity was low. As a conclusion, the yeast diversity inferred in several previous studies may have been underestimated and some isolates were probably misidentified due to the compliance to this screening procedure. |
format | Online Article Text |
id | pubmed-4149466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41494662014-09-03 (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? Ramírez-Castrillón, Mauricio Mendes, Sandra Denise Camargo Inostroza-Ponta, Mario Valente, Patricia PLoS One Research Article In microbiology, identification of all isolates by sequencing is still unfeasible in small research laboratories. Therefore, many yeast diversity studies follow a screening procedure consisting of clustering the yeast isolates using MSP-PCR fingerprinting, followed by identification of one or a few selected representatives of each cluster by sequencing. Although this procedure has been widely applied in the literature, it has not been properly validated. We evaluated a standardized protocol using MSP-PCR fingerprinting with the primers (GTG)(5) and M13 for the discrimination of wine associated yeasts in South Brazil. Two datasets were used: yeasts isolated from bottled wines and vineyard environments. We compared the discriminatory power of both primers in a subset of 16 strains, choosing the primer (GTG)(5) for further evaluation. Afterwards, we applied this technique to 245 strains, and compared the results with the identification obtained by partial sequencing of the LSU rRNA gene, considered as the gold standard. An array matrix was constructed for each dataset and used as input for clustering with two methods (hierarchical dendrograms and QAPGrid layout). For both yeast datasets, unrelated species were clustered in the same group. The sensitivity score of (GTG)(5) MSP-PCR fingerprinting was high, but specificity was low. As a conclusion, the yeast diversity inferred in several previous studies may have been underestimated and some isolates were probably misidentified due to the compliance to this screening procedure. Public Library of Science 2014-08-29 /pmc/articles/PMC4149466/ /pubmed/25171185 http://dx.doi.org/10.1371/journal.pone.0105870 Text en © 2014 Ramírez-Castrillón et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are properly credited. |
spellingShingle | Research Article Ramírez-Castrillón, Mauricio Mendes, Sandra Denise Camargo Inostroza-Ponta, Mario Valente, Patricia (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title | (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title_full | (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title_fullStr | (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title_full_unstemmed | (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title_short | (GTG)(5) MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts? |
title_sort | (gtg)(5) msp-pcr fingerprinting as a technique for discrimination of wine associated yeasts? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149466/ https://www.ncbi.nlm.nih.gov/pubmed/25171185 http://dx.doi.org/10.1371/journal.pone.0105870 |
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