Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs
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 bacteri...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/10/7/1398 |
| _version_ | 1797416865684783104 |
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| author | Martha Virginia R. Rojas Diego Peres Alonso Milena Dropa Maria Tereza P. Razzolini Dario Pires de Carvalho Kaio Augusto Nabas Ribeiro Paulo Eduardo M. Ribolla Maria Anice M. Sallum |
| author_facet | Martha Virginia R. Rojas Diego Peres Alonso Milena Dropa Maria Tereza P. Razzolini Dario Pires de Carvalho Kaio Augusto Nabas Ribeiro Paulo Eduardo M. Ribolla Maria Anice M. Sallum |
| author_sort | Martha Virginia R. Rojas |
| collection | DOAJ |
| 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 <i>Acinetobacter</i>, <i>Deinococcus</i>, and <i>Pseudomonas</i>. 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 <i>Chlamidomonadaceae</i> family and <i>Enhydrobacter</i> 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. |
| first_indexed | 2024-03-09T06:10:23Z |
| format | Article |
| id | doaj.art-61e96e3457fd4646b573f4485d712d06 |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-09T06:10:23Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-61e96e3457fd4646b573f4485d712d062023-12-03T11:59:12ZengMDPI AGMicroorganisms2076-26072022-07-01107139810.3390/microorganisms10071398Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric ReservoirsMartha Virginia R. Rojas0Diego Peres Alonso1Milena Dropa2Maria Tereza P. Razzolini3Dario Pires de Carvalho4Kaio Augusto Nabas Ribeiro5Paulo Eduardo M. Ribolla6Maria Anice M. Sallum7Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, BrazilDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, BrazilDepartamento de Saúde Ambiental, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, BrazilDepartamento de Saúde Ambiental, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, BrazilSanto Antônio Energia, Porto Velho 76805-812, BrazilSanto Antônio Energia, Porto Velho 76805-812, BrazilInstituto de Biotecnologia da UNESP (IBTEC-Campus Botucatu), São Paulo 18607-440, BrazilDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, BrazilThe 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 <i>Acinetobacter</i>, <i>Deinococcus</i>, and <i>Pseudomonas</i>. 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 <i>Chlamidomonadaceae</i> family and <i>Enhydrobacter</i> 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.https://www.mdpi.com/2076-2607/10/7/1398bacterial communitymetagenomics16SMansoniaCulicidae |
| spellingShingle | Martha Virginia R. Rojas Diego Peres Alonso Milena Dropa Maria Tereza P. Razzolini Dario Pires de Carvalho Kaio Augusto Nabas Ribeiro Paulo Eduardo M. Ribolla Maria Anice M. Sallum Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs Microorganisms bacterial community metagenomics 16S Mansonia Culicidae |
| title | 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 |
| title_full_unstemmed | Next-Generation High-Throughput Sequencing to Evaluate Bacterial Communities in Freshwater Ecosystem in Hydroelectric Reservoirs |
| title_short | 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 |
| topic | bacterial community metagenomics 16S Mansonia Culicidae |
| url | https://www.mdpi.com/2076-2607/10/7/1398 |
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