Metagenomic data on the composition of bacterial communities in lake environment sediments for fish farming by next generation Illumina sequencing
María Custodio,
Alberto Ordinola-Zapata,
Ciro Espinoza,
Enedia Vieyra-Peña,
Richard Peñaloza,
Héctor Sánchez-Suárez,
Tessy Peralta-Ortiz
Affiliations
María Custodio
Facultad de Medicina Humana, Centro de Investigación de Medicina en Altura y Medio Ambiente, Universidad Nacional del Centro del Perú, Av. Mariscal Castilla N° 3909, Huancayo, Perú; Corresponding author.
Alberto Ordinola-Zapata
Facultad de Ingeniería Pesquera y Ciencias del Mar, Universidad Nacional de Tumbes, Calle Los Ceibos S/N, Puerto Pizarro, Tumbes, Perú
Ciro Espinoza
Facultad de Medicina Humana, Centro de Investigación de Medicina en Altura y Medio Ambiente, Universidad Nacional del Centro del Perú, Av. Mariscal Castilla N° 3909, Huancayo, Perú
Enedia Vieyra-Peña
Facultad de Ingeniería Pesquera y Ciencias del Mar, Universidad Nacional de Tumbes, Calle Los Ceibos S/N, Puerto Pizarro, Tumbes, Perú
Richard Peñaloza
Facultad de Medicina Humana, Centro de Investigación de Medicina en Altura y Medio Ambiente, Universidad Nacional del Centro del Perú, Av. Mariscal Castilla N° 3909, Huancayo, Perú
Héctor Sánchez-Suárez
Facultad de Ciencias Agrarias, Departamento Académico de Medicina Veterinaria y Zootecnia, Universidad Nacional de Tumbes, La Cruz S/N, Tumbes, Perú
Tessy Peralta-Ortiz
Facultad de Ingeniería Pesquera y Ciencias del Mar, Universidad Nacional de Tumbes, Calle Los Ceibos S/N, Puerto Pizarro, Tumbes, Perú
This article contains data on the bacterial communities of lagoon sediments with fish potential in the Central Andes of Peru. The surface sediment samples were collected from four lagoons destined for continental water fish farming. DNA extraction was performed from 0.5 g of sample through the Presto™ Soil DNA Extraction Kit. Bacterial sequencing of the 16S rRNA amplicon was performed on the DNA extracted from the sediment. At least 36 Phyla bacteria were detected, the bacterial communities being dominated by Proteobacteria, Cyanobacteria, Actinobacteria, Firmicutes, Chloroflexi. These data can be used for predictive analysis to gain a better understanding of the dynamics of bacterial communities in environments under pressure from fish farming.
