Abstract
Proper identification and classification of the microbiota in several environments has prompted the search for rapid response molecular tools. Microsatellites are among the most widely used markers because they are distributed along the genome, are highly variable, and the fragments of different lengths describe genetic diversity. Repeated intergenic sequences (ISSR) are other molecular markers that allow obtaining variations between individuals due to the high rate of mutation that they experience. Application of the two techniques, correlating both and developing data analysis platforms, is an approach to differentiate individuals of the same species. Dendrograms were constructed from the similarity matrix analyzing the existence or absence of regions amplified by the markers, allowing them to work with various types of genomic and/or phenotypic data. This strategy was applied to study the phylogenetic analysis of the yeast populations present in an alcoholic fermentation, which permitted to describe the genetic diversity of the species using microsatellite markers and repeated short sequences in a correlation matrix. The approach presented here is novel for the analysis of yeast populations and showed vast biodiversity and a high polymorphism in the isolates evaluated. This finding was possible because of the high sensitivity of the markers and the use of the entire genome.
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We thank M.C. Octavio Salas Solano for his valuable collaboration in the isolation and prior identification of yeast strains, facilitating the continuity of this work.
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Martínez-Estrada, S.C., Soto-Cruz, N.Ó., Rojas-Contreras, J.A., López-Miranda, J., Rodríguez-Herrera, R., Páez-Lerma, J.B. (2023). Phylogenetic Analysis in Yeast Population Using Microsatellites and Simple Sequence Tandem Repeats. In: Aguilar, C.N., Abdulhameed, S., Rodriguez-Herrera, R., Sugathan, S. (eds) Microbial Biodiversity, Biotechnology and Ecosystem Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-19-4336-2_16
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