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. 2021 Jun 22;10(7):759. doi: 10.3390/antibiotics10070759

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© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Hierarchical numerical analysis of the isolates recovered from samples collected in the dry season (1) and wet season (2). The dendrograms were based in the PCR fingerprints obtained with the AP5 and AP3 primers in a composite approach using for similarity calculation the Pearson correlation coefficient. Clustering was achieved with UPGMA. Regarding the entire dendrograms, cophenetic correlation coefficients are 0.83 for the dry season and 0.79 for the wet season. The scale used represents the percentage of similarity between the PCR fingerprints. The first column represents the dendrogram, the second the relative abundance (%) of Aeromonas species and the third the relative proportion (%) of isolates based on the river of origin. AC—A. caviae, AH—A. hydrophila, AM—A. media, AV—A. veronii, A—Aeromonas sp., LA—Laje, LI—Lizandro, J—Jamor, S—Samarra.