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Vasquez, G., (2021). Análisis de la comunidad bacteriana en un suelo de bosque húmedo tropical en San Martín [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/4142
Vasquez, G., Análisis de la comunidad bacteriana en un suelo de bosque húmedo tropical en San Martín []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2021. http://hdl.handle.net/11458/4142
@phdthesis{renati/1054098,
title = "Análisis de la comunidad bacteriana en un suelo de bosque húmedo tropical en San Martín",
author = "Vasquez Ramirez, Guillermo",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2021"
}
Title: Análisis de la comunidad bacteriana en un suelo de bosque húmedo tropical en San Martín
Authors(s): Vasquez Ramirez, Guillermo
Advisor(s): Rios Ruiz, Winston Franz; Valdez Núñez, Renzo Alfredo
Keywords: Comunidad bacteriana; Bosque húmedo tropical; Metagenómico; Secuenciación de ADN; Géneros identificados
OCDE field: https://purl.org/pe-repo/ocde/ford#4.05.00
Issue Date: 2021
Institution: Universidad Nacional de San Martín. Fondo Editorial
Abstract: El objetivo fue caracterizar la población bacteriana del suelo en un bosque húmedo tropical de San Martín. La Población comprende el área de la Biodiversidad nombre del lugar de estudio, 505,000m2 en tres parcelas de 10,000 m2 Las muestras de suelo fueron preparadas para extracción de ADN metagenómica según el Quick-Start Protocol DNeasy PowerLyzer Powersoil Kit (Qiagen N.V., 2016). La presencia y calidad de ADN se comprobó mediante electroforesis según (Mancilla, 2019); la secuenciación se realizó utilizando el método MiSeq Reagent Nano Kit v2 (Illumina Inc., 2018), en Fisabio, Valencia – España, el análisis de datos fue ejecutado en la plataforma Kraken Metagenomics Base Space, Illumina, que permitió obtener Unidades Taxonómicas Operativas. Las categorías taxonómicas identificadas fueron de 218 géneros de bacterias pertenecientes a 30 filotipos diferentes, siendo el más dominante el filotipo Acidobacteria, 47 clases y 106 familias. Se concluye que las características de la diversidad bacteriana son similares en el total de géneros por muestras; el suelo llega a poblar bacterias que todavía no fueron descritas ni las funciones que realizan y la comparación de librerías de niveles altitudinales muestra estadísticamente que no presentan diferencias significativas. La importante diversidad bacteriana encontrada sugiere estudios específicos en población bacteriana no identificada, así como; de especialidades importantes para la industria, preservación y suministro de cepas para diversos fines (investigación, docencia, aplicaciones biotecnológicas, etc.).
The objective was to characterize the bacterial population of the soil in a tropical humid forest of San Martín. The Population comprises the “La Biodiversidad” area 505,000m2 in three plots of 10,000 m2 The soil samples were prepared for metagenomic DNA extraction according to the Quick-Start Protocol DNeasy PowerLyzer Powersoil Kit (Qiagen N.V., 2016). The presence and quality of DNA was verified by electrophoresis according to (Mancilla, 2019); The sequencing was carried out using the MiSeq Reagent Nano Kit v2 method (Illumina Inc., 2018), in Fisabio, Valencia - Spain, the data analysis was made in the Kraken Metagenomics Base Space platform, Illumina, which allowed obtaining Operational Taxonomic Units. The taxonomic categories identified were 218 genera of bacteria belonging to 30 different phyllotypes, the most dominant being the Acidobacteria phyllotype, 47 classes and 106 families. It is concluded that the characteristics of bacterial diversity are similar in the total of genera per sample; the soil comes to populate bacteria that have not yet been described or the functions they perform and the comparison of the elevational level libraries shows statistically that they do not present significant differences. The important bacterial diversity found suggests specific studies in unidentified bacterial population, as well as; of important specialties for the industry, preservation and supply of strains for various purposes (research, teaching, biotechnological applications, etc.).
The objective was to characterize the bacterial population of the soil in a tropical humid forest of San Martín. The Population comprises the “La Biodiversidad” area 505,000m2 in three plots of 10,000 m2 The soil samples were prepared for metagenomic DNA extraction according to the Quick-Start Protocol DNeasy PowerLyzer Powersoil Kit (Qiagen N.V., 2016). The presence and quality of DNA was verified by electrophoresis according to (Mancilla, 2019); The sequencing was carried out using the MiSeq Reagent Nano Kit v2 method (Illumina Inc., 2018), in Fisabio, Valencia - Spain, the data analysis was made in the Kraken Metagenomics Base Space platform, Illumina, which allowed obtaining Operational Taxonomic Units. The taxonomic categories identified were 218 genera of bacteria belonging to 30 different phyllotypes, the most dominant being the Acidobacteria phyllotype, 47 classes and 106 families. It is concluded that the characteristics of bacterial diversity are similar in the total of genera per sample; the soil comes to populate bacteria that have not yet been described or the functions they perform and the comparison of the elevational level libraries shows statistically that they do not present significant differences. The important bacterial diversity found suggests specific studies in unidentified bacterial population, as well as; of important specialties for the industry, preservation and supply of strains for various purposes (research, teaching, biotechnological applications, etc.).
Link to repository: http://hdl.handle.net/11458/4142
Discipline: Doctorado en Producción Vegetal y Ecosistemas Agroforestales
Grade or title grantor: Universidad Nacional de San Martín. Facultad de Ciencias Agrarias
Grade or title: Doctor en Producción Vegetal y Ecosistemas Agroforestales
Juror: Rengifo Saavedra, Carlos; Palomino Alvarado, Gabriela Del Pilar; Arevalo Gardini, Enrique
Register date: 7-Nov-2021
This item is licensed under a Creative Commons License