Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs

Detalhes bibliográficos
Autor(a) principal: Rojas, Martha Virginia R. [UNESP]
Data de Publicação: 2022
Outros Autores: Alonso, Diego Peres [UNESP], Dropa, Milena, Razzolini, Maria Tereza P., Carvalho, Dario Pires de, Ribeiro, Kaio Augusto Nabas, Ribolla, Paulo Eduardo M. [UNESP], Sallum, Maria Anice M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
DOI: 10.3390/microorganisms10071398
Texto Completo: http://dx.doi.org/10.3390/microorganisms10071398
http://hdl.handle.net/11449/240693
Resumo: The quality of aquatic ecosystems is a major public health concern. The assessment and management of a freshwater system and the ecological monitoring of microorganisms that are present in it can provide indicators of the environment and water quality to protect human and animal health. with bacteria is. It is a major challenge to monitor the microbiological bacterial contamination status of surface water associated with anthropogenic activities within rivers and freshwater reservoirs. Understanding the composition of aquatic microbial communities can be beneficial for the early detection of pathogens, improving our knowledge of their ecological niches, and characterizing the assemblages of microbiota responsible for the degradation of contaminants and microbial substrates. The present study aimed to characterize the bacterial microbiota of water samples collected alongside the Madeira River and its small tributaries in rural areas near the Santo Antonio Energia hydroelectric power plant (SAE) reservoir in the municipality of Porto Velho, Rondonia state, Western Brazil. An Illumina 16s rRNA metagenomic approach was employed and the physicochemical characteristics of the water sample were assessed. We hypothesized that both water metagenomics and physicochemical parameters would vary across sampling sites. The most abundant genera found in the study were Acinetobacter, Deinococcus, and Pseudomonas. PERMANOVA and ANCOM analysis revealed that collection points sampled at the G4 location presented a significantly different microbiome compared to any other group, with the Chlamidomonadaceae family and Enhydrobacter genus being significantly more abundant. Our findings support the use of metagenomics to assess water quality standards for the protection of human and animal health in this microgeographic region.
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spelling Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs16Sbacterial communityCulicidaeMansoniametagenomicsThe quality of aquatic ecosystems is a major public health concern. The assessment and management of a freshwater system and the ecological monitoring of microorganisms that are present in it can provide indicators of the environment and water quality to protect human and animal health. with bacteria is. It is a major challenge to monitor the microbiological bacterial contamination status of surface water associated with anthropogenic activities within rivers and freshwater reservoirs. Understanding the composition of aquatic microbial communities can be beneficial for the early detection of pathogens, improving our knowledge of their ecological niches, and characterizing the assemblages of microbiota responsible for the degradation of contaminants and microbial substrates. The present study aimed to characterize the bacterial microbiota of water samples collected alongside the Madeira River and its small tributaries in rural areas near the Santo Antonio Energia hydroelectric power plant (SAE) reservoir in the municipality of Porto Velho, Rondonia state, Western Brazil. An Illumina 16s rRNA metagenomic approach was employed and the physicochemical characteristics of the water sample were assessed. We hypothesized that both water metagenomics and physicochemical parameters would vary across sampling sites. The most abundant genera found in the study were Acinetobacter, Deinococcus, and Pseudomonas. PERMANOVA and ANCOM analysis revealed that collection points sampled at the G4 location presented a significantly different microbiome compared to any other group, with the Chlamidomonadaceae family and Enhydrobacter genus being significantly more abundant. Our findings support the use of metagenomics to assess water quality standards for the protection of human and animal health in this microgeographic region.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação para o Desenvolvimento da UNESP (FUNDUNESP)Departamento de Epidemiologia Faculdade de Saúde Pública Universidade de São PauloFUNDUNESP—Fundação para o Desenvolvimento da UNESPInstituto de Biotecnologia da UNESP (IBTEC-Campus Botucatu)Departamento de Saúde Ambiental Faculdade de Saúde Pública Universidade de São PauloSanto Antônio EnergiaFUNDUNESP—Fundação para o Desenvolvimento da UNESPInstituto de Biotecnologia da UNESP (IBTEC-Campus Botucatu)CNPq: 301877/2016-5Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Santo Antônio EnergiaRojas, Martha Virginia R. [UNESP]Alonso, Diego Peres [UNESP]Dropa, MilenaRazzolini, Maria Tereza P.Carvalho, Dario Pires deRibeiro, Kaio Augusto NabasRibolla, Paulo Eduardo M. [UNESP]Sallum, Maria Anice M.2023-03-01T20:28:37Z2023-03-01T20:28:37Z2022-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/microorganisms10071398Microorganisms, v. 10, n. 7, 2022.2076-2607http://hdl.handle.net/11449/24069310.3390/microorganisms100713982-s2.0-85136389717Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMicroorganismsinfo:eu-repo/semantics/openAccess2023-03-01T20:28:37Zoai:repositorio.unesp.br:11449/240693Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:53:55.556742Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
title Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
spellingShingle Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
Rojas, Martha Virginia R. [UNESP]
16S
bacterial community
Culicidae
Mansonia
metagenomics
Rojas, Martha Virginia R. [UNESP]
16S
bacterial community
Culicidae
Mansonia
metagenomics
title_short Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
title_full Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
title_fullStr Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
title_full_unstemmed Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
title_sort Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
author Rojas, Martha Virginia R. [UNESP]
author_facet Rojas, Martha Virginia R. [UNESP]
Rojas, Martha Virginia R. [UNESP]
Alonso, Diego Peres [UNESP]
Dropa, Milena
Razzolini, Maria Tereza P.
Carvalho, Dario Pires de
Ribeiro, Kaio Augusto Nabas
Ribolla, Paulo Eduardo M. [UNESP]
Sallum, Maria Anice M.
Alonso, Diego Peres [UNESP]
Dropa, Milena
Razzolini, Maria Tereza P.
Carvalho, Dario Pires de
Ribeiro, Kaio Augusto Nabas
Ribolla, Paulo Eduardo M. [UNESP]
Sallum, Maria Anice M.
author_role author
author2 Alonso, Diego Peres [UNESP]
Dropa, Milena
Razzolini, Maria Tereza P.
Carvalho, Dario Pires de
Ribeiro, Kaio Augusto Nabas
Ribolla, Paulo Eduardo M. [UNESP]
Sallum, Maria Anice M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
Santo Antônio Energia
dc.contributor.author.fl_str_mv Rojas, Martha Virginia R. [UNESP]
Alonso, Diego Peres [UNESP]
Dropa, Milena
Razzolini, Maria Tereza P.
Carvalho, Dario Pires de
Ribeiro, Kaio Augusto Nabas
Ribolla, Paulo Eduardo M. [UNESP]
Sallum, Maria Anice M.
dc.subject.por.fl_str_mv 16S
bacterial community
Culicidae
Mansonia
metagenomics
topic 16S
bacterial community
Culicidae
Mansonia
metagenomics
description The quality of aquatic ecosystems is a major public health concern. The assessment and management of a freshwater system and the ecological monitoring of microorganisms that are present in it can provide indicators of the environment and water quality to protect human and animal health. with bacteria is. It is a major challenge to monitor the microbiological bacterial contamination status of surface water associated with anthropogenic activities within rivers and freshwater reservoirs. Understanding the composition of aquatic microbial communities can be beneficial for the early detection of pathogens, improving our knowledge of their ecological niches, and characterizing the assemblages of microbiota responsible for the degradation of contaminants and microbial substrates. The present study aimed to characterize the bacterial microbiota of water samples collected alongside the Madeira River and its small tributaries in rural areas near the Santo Antonio Energia hydroelectric power plant (SAE) reservoir in the municipality of Porto Velho, Rondonia state, Western Brazil. An Illumina 16s rRNA metagenomic approach was employed and the physicochemical characteristics of the water sample were assessed. We hypothesized that both water metagenomics and physicochemical parameters would vary across sampling sites. The most abundant genera found in the study were Acinetobacter, Deinococcus, and Pseudomonas. PERMANOVA and ANCOM analysis revealed that collection points sampled at the G4 location presented a significantly different microbiome compared to any other group, with the Chlamidomonadaceae family and Enhydrobacter genus being significantly more abundant. Our findings support the use of metagenomics to assess water quality standards for the protection of human and animal health in this microgeographic region.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-01
2023-03-01T20:28:37Z
2023-03-01T20:28:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/microorganisms10071398
Microorganisms, v. 10, n. 7, 2022.
2076-2607
http://hdl.handle.net/11449/240693
10.3390/microorganisms10071398
2-s2.0-85136389717
url http://dx.doi.org/10.3390/microorganisms10071398
http://hdl.handle.net/11449/240693
identifier_str_mv Microorganisms, v. 10, n. 7, 2022.
2076-2607
10.3390/microorganisms10071398
2-s2.0-85136389717
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Microorganisms
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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dc.identifier.doi.none.fl_str_mv 10.3390/microorganisms10071398