Characterization of Bacterial Communities from the Surface and Adjacent Bottom Layers of Water in the Billings Reservoir

Autor(es)

Marcondes, Marta Angela ; Nascimento, Andrezza ; Pessoa, Rodrigo ; Victor, Jefferson Russo ; Duarte, Alberto Jose da Silva ; Clissa, Patricia Bianca ; Sanabani, Sabri Saeed

• Tipo de documento: Artigo Científico
• Fonte: LIFE-BASEL; v. 12, n. 8, p. 17-pg., 2022-08-01.

Resumo

Here, we describe the bacterial diversity and physicochemical properties in freshwater samples from the surface and bottom layers of the Billings Reservoir, the largest open-air storage ecosystem in the Sao Paulo (Brazil) metropolitan area. Forty-four samples (22 from the surface and 22 from the bottom layers) were characterized based on 16S rRNA gene analysis using Illumina MiSeq. Taxonomical composition revealed an abundance of the Cyanobacteria phylum, followed by Proteobacteria, which were grouped into 1903 and 2689 different genera in the surface and the deep-water layers, respectively. Chroobacteria, Actinobacteria, Betaproteobacteria, and Alphaproteobacteria were the most dominant classes. The Shannon diversity index was in the range of 2.3-5.39 and 4.04-6.86 in the surface and bottom layers, respectively. Flavobacterium was the most predominant pathogenic genus. Temperature and phosphorus concentrations were among the most influential factors in shaping the microbial communities of both layers. Predictive functional analysis suggests that the reservoir is enriched in motility genes involved in flagellar assembly. The overall results provide new information on the diversity composition, ecological function, and health risks of the bacterial community detected in the Billings freshwater reservoir. The broad bacterial diversity indicates that the bacterioplankton communities in the reservoir were involved in multiple essential environmental processes. (AU)

• Processo FAPESP: 18/08631-3 - Composição e diversidade da comunidade bacteriana no reservatório de Billings através do sequenciamento de nova geração do gene 16S rRNA
• Beneficiário: Sabri Saeed Mohammed Ahmed Al-Sanabani
• Modalidade de apoio: Auxílio à Pesquisa - Regular