Ramírez-Castrillón Mauricio, Mendes Sandra Denise Camargo, Inostroza-Ponta Mario, Valente Patricia
Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Campus do Vale, Porto Alegre, Brazil; Departamento de Microbiologia, Imunologia e Parasitologia, ICBS, Universidade Federal do Rio Grande do Sul, Rua Sarmento Leite, Porto Alegre, Brazil.
Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Campus do Vale, Porto Alegre, Brazil; Departamento de Microbiologia, Imunologia e Parasitologia, ICBS, Universidade Federal do Rio Grande do Sul, Rua Sarmento Leite, Porto Alegre, Brazil; Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina, Laboratório de Análises de Vinhos e Derivados, Estação Experimental de Videira, Campo Experimental, Videira, Brazil.
PLoS One. 2014 Aug 29;9(8):e105870. doi: 10.1371/journal.pone.0105870. eCollection 2014.
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.
在微生物学领域,对于小型研究实验室而言,通过测序鉴定所有分离株仍然不可行。因此,许多酵母多样性研究采用一种筛选程序,该程序包括使用MSP-PCR指纹图谱对酵母分离株进行聚类,然后通过测序鉴定每个聚类中的一个或几个选定代表。尽管此程序已在文献中广泛应用,但尚未得到适当验证。我们评估了一种标准化方案,该方案使用引物(GTG)5和M13进行MSP-PCR指纹图谱分析,以鉴别巴西南部与葡萄酒相关的酵母。使用了两个数据集:从瓶装葡萄酒和葡萄园环境中分离出的酵母。我们在16个菌株的子集中比较了两种引物的鉴别能力,选择引物(GTG)5进行进一步评估。之后,我们将该技术应用于245个菌株,并将结果与通过LSU rRNA基因部分测序获得的鉴定结果进行比较,后者被视为金标准。为每个数据集构建了一个阵列矩阵,并用作两种方法(层次树状图和QAPGrid布局)聚类的输入。对于这两个酵母数据集,不相关的物种被聚类在同一组中。(GTG)5 MSP-PCR指纹图谱的灵敏度得分较高,但特异性较低。结论是,先前一些研究中推断的酵母多样性可能被低估了,并且由于遵循此筛选程序,一些分离株可能被错误鉴定。