Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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. |
id |
UNSP_5fd84c61e12ce868ed7c702bab477a71 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/240693 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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 |
|
_version_ |
1822182325995175936 |
dc.identifier.doi.none.fl_str_mv |
10.3390/microorganisms10071398 |