Impacts of soybean agriculture on the resistome of the Amazonian soil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Digital do Instituto Evandro Chagas (Patuá) |
Texto Completo: | https://patua.iec.gov.br/handle/iec/4672 |
Resumo: | The soils of the Amazon are complex environments with different organisms cohabiting in continuous adaptation processes; this changes significantly when these environments are modified for the development of agricultural activities that alter the chemical, macro, and microbiological compositions. The metagenomic variations and the levels of the environmental impact of four different soil samples from the Amazon region were evaluated, emphasizing the resistome. Soil samples from the organic phase from the different forest, pasture, and transgenic soybean monocultures of 2–14 years old were collected in triplicate at each site. The samples were divided into two groups, and one group was pre-treated to obtain genetic material to perform sequencing for metagenomic analysis; another group carried out the chemical characterization of the soil, determining the pH, the content of cations, and heavy metals; these were carried out in addition to identifying with different databases the components of the microbiological communities, functional genes, antibiotic and biocide resistance genes. A greater diversity of antibiotic resistance genes was observed in the forest soil. In contrast, in monoculture soils, a large number of biocide resistance genes were evidenced, highlighting the diversity and abundance of crop soils, which showed better resistance to heavy metals than other compounds, with a possible dominance of resistance to iron due to the presence of the acn gene. For up to 600 different genes for resistance to antibiotics and 256 genes for biocides were identified, most of which were for heavy metals. The most prevalent was resistance to tetracycline, cephalosporin, penam, fluoroquinolone, chloramphenicol, carbapenem, macrolide, and aminoglycoside, providing evidence for the co-selection of these resistance genes in different soils. Furthermore, the influence of vegetation cover on the forest floor was notable as a protective factor against the impact of human contamination. Regarding chemical characterization, the presence of heavy metals, different stress response mechanisms in monoculture soils, and the abundance of mobile genetic elements in crop and pasture soils stand out. The elimination of the forest increases the diversity of genes for resistance to biocides, favoring the selection of genes for resistance to antibiotics in soils. |
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Alegria, Oscar Victor CardenasQuaresma, Marielle PiresDantas, Carlos Willian DiasLobato, Elaine Maria Silva GuedesAragão, Andressa de OliveiraSilva, Sandro Patroca daSilva, Amanda Costa Barros daCruz, Ana Cecília RibeiroRamos, Rommel Thiago JucáCarneiro, Adriana Ribeiro2022-10-11T12:33:51Z2022-10-11T12:33:51Z2022ALEGRIA, Oscar Cardenas et al. Impacts of soybean agriculture on the resistome of the Amazonian soil. Frontiers in Microbiology, v. 13, n. 948188, 2022. DOI: https://doi.org/10.3389/fmicb.2022.948188. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500545/pdf/fmicb-13-948188.pdf.1664-302Xhttps://patua.iec.gov.br/handle/iec/467210.3389/fmicb.2022.948188The soils of the Amazon are complex environments with different organisms cohabiting in continuous adaptation processes; this changes significantly when these environments are modified for the development of agricultural activities that alter the chemical, macro, and microbiological compositions. The metagenomic variations and the levels of the environmental impact of four different soil samples from the Amazon region were evaluated, emphasizing the resistome. Soil samples from the organic phase from the different forest, pasture, and transgenic soybean monocultures of 2–14 years old were collected in triplicate at each site. The samples were divided into two groups, and one group was pre-treated to obtain genetic material to perform sequencing for metagenomic analysis; another group carried out the chemical characterization of the soil, determining the pH, the content of cations, and heavy metals; these were carried out in addition to identifying with different databases the components of the microbiological communities, functional genes, antibiotic and biocide resistance genes. A greater diversity of antibiotic resistance genes was observed in the forest soil. In contrast, in monoculture soils, a large number of biocide resistance genes were evidenced, highlighting the diversity and abundance of crop soils, which showed better resistance to heavy metals than other compounds, with a possible dominance of resistance to iron due to the presence of the acn gene. For up to 600 different genes for resistance to antibiotics and 256 genes for biocides were identified, most of which were for heavy metals. The most prevalent was resistance to tetracycline, cephalosporin, penam, fluoroquinolone, chloramphenicol, carbapenem, macrolide, and aminoglycoside, providing evidence for the co-selection of these resistance genes in different soils. Furthermore, the influence of vegetation cover on the forest floor was notable as a protective factor against the impact of human contamination. Regarding chemical characterization, the presence of heavy metals, different stress response mechanisms in monoculture soils, and the abundance of mobile genetic elements in crop and pasture soils stand out. The elimination of the forest increases the diversity of genes for resistance to biocides, favoring the selection of genes for resistance to antibiotics in soils.Funded National Research Council (CNPq), Alliance Program for Education and Training—PAEC-OEA-GCUB 2017, within the scope of the Cooperation Agreement between the Organization of American States (OAS) and the Coimbra Group of Brazilian Universities (CGUB) and L’Oréal Brasil-UNESCOABC For Women in Science.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil.Federal University of Minas Gerais. Institute of Biological Sciences. Belo Horizonte, MG, Brazil.Federal Rural University of the Amazon. Department of Soil Science. Paragominas, PA, Brazil.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil / Federal University of Minas Gerais. Institute of Biological Sciences. Belo Horizonte, MG, Brazil.Federal University of Pará. Institute of Biological Sciences. Center of Genomics and System Biology. Laboratory of Genomic and Bioinformatics. Belém, PA, Brazil.engFrontiers MediaImpacts of soybean agriculture on the resistome of the Amazonian soilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAnálise do SoloMicrobiologia do SoloPseudomonas aeruginosaResistomaMetagenômicaAgriculturaSojainfo:eu-repo/semantics/openAccessreponame:Repositório Digital do Instituto Evandro Chagas (Patuá)instname:Instituto Evandro Chagas (IEC)instacron:IECORIGINALImpacts of soybean agriculture on the resistome of the Amazonian soil.pdfImpacts of soybean agriculture on the resistome of the Amazonian soil.pdfapplication/pdf3946332https://patua.iec.gov.br/bitstreams/b8139754-6f22-4578-a7c8-c304f6d5461e/downloadc5b2872bb0149c8a5dd35f48ef6b82b9MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82182https://patua.iec.gov.br/bitstreams/70b70769-fdd7-47d4-9b42-aa1edad6cbad/download11832eea31b16df8613079d742d61793MD52TEXTImpacts of soybean agriculture on the resistome of the Amazonian soil.pdf.txtImpacts of soybean agriculture on the resistome of the Amazonian soil.pdf.txtExtracted texttext/plain72461https://patua.iec.gov.br/bitstreams/b2540bc9-7978-4fdb-9a07-100d681543b1/downloade689aee5e45199067955e669682aa511MD55THUMBNAILImpacts of soybean agriculture on the resistome of the Amazonian soil.pdf.jpgImpacts of soybean agriculture on the resistome of the Amazonian soil.pdf.jpgGenerated Thumbnailimage/jpeg4746https://patua.iec.gov.br/bitstreams/e4ef36e7-5f9e-4639-9aed-f2b3d1116bed/download12f5c13b87cbc5ffb2ca8f44215a3c63MD56iec/46722023-05-16 17:59:57.151oai:patua.iec.gov.br:iec/4672https://patua.iec.gov.brRepositório InstitucionalPUBhttps://patua.iec.gov.br/oai/requestclariceneta@iec.gov.br || Biblioteca@iec.gov.bropendoar:2023-05-16T17:59:57Repositório Digital do Instituto Evandro Chagas (Patuá) - Instituto Evandro Chagas (IEC)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 |
dc.title.pt_BR.fl_str_mv |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
title |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
spellingShingle |
Impacts of soybean agriculture on the resistome of the Amazonian soil Alegria, Oscar Victor Cardenas Análise do Solo Microbiologia do Solo Pseudomonas aeruginosa Resistoma Metagenômica Agricultura Soja |
title_short |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
title_full |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
title_fullStr |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
title_full_unstemmed |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
title_sort |
Impacts of soybean agriculture on the resistome of the Amazonian soil |
author |
Alegria, Oscar Victor Cardenas |
author_facet |
Alegria, Oscar Victor Cardenas Quaresma, Marielle Pires Dantas, Carlos Willian Dias Lobato, Elaine Maria Silva Guedes Aragão, Andressa de Oliveira Silva, Sandro Patroca da Silva, Amanda Costa Barros da Cruz, Ana Cecília Ribeiro Ramos, Rommel Thiago Jucá Carneiro, Adriana Ribeiro |
author_role |
author |
author2 |
Quaresma, Marielle Pires Dantas, Carlos Willian Dias Lobato, Elaine Maria Silva Guedes Aragão, Andressa de Oliveira Silva, Sandro Patroca da Silva, Amanda Costa Barros da Cruz, Ana Cecília Ribeiro Ramos, Rommel Thiago Jucá Carneiro, Adriana Ribeiro |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Alegria, Oscar Victor Cardenas Quaresma, Marielle Pires Dantas, Carlos Willian Dias Lobato, Elaine Maria Silva Guedes Aragão, Andressa de Oliveira Silva, Sandro Patroca da Silva, Amanda Costa Barros da Cruz, Ana Cecília Ribeiro Ramos, Rommel Thiago Jucá Carneiro, Adriana Ribeiro |
dc.subject.decsPrimary.pt_BR.fl_str_mv |
Análise do Solo Microbiologia do Solo Pseudomonas aeruginosa Resistoma Metagenômica Agricultura Soja |
topic |
Análise do Solo Microbiologia do Solo Pseudomonas aeruginosa Resistoma Metagenômica Agricultura Soja |
description |
The soils of the Amazon are complex environments with different organisms cohabiting in continuous adaptation processes; this changes significantly when these environments are modified for the development of agricultural activities that alter the chemical, macro, and microbiological compositions. The metagenomic variations and the levels of the environmental impact of four different soil samples from the Amazon region were evaluated, emphasizing the resistome. Soil samples from the organic phase from the different forest, pasture, and transgenic soybean monocultures of 2–14 years old were collected in triplicate at each site. The samples were divided into two groups, and one group was pre-treated to obtain genetic material to perform sequencing for metagenomic analysis; another group carried out the chemical characterization of the soil, determining the pH, the content of cations, and heavy metals; these were carried out in addition to identifying with different databases the components of the microbiological communities, functional genes, antibiotic and biocide resistance genes. A greater diversity of antibiotic resistance genes was observed in the forest soil. In contrast, in monoculture soils, a large number of biocide resistance genes were evidenced, highlighting the diversity and abundance of crop soils, which showed better resistance to heavy metals than other compounds, with a possible dominance of resistance to iron due to the presence of the acn gene. For up to 600 different genes for resistance to antibiotics and 256 genes for biocides were identified, most of which were for heavy metals. The most prevalent was resistance to tetracycline, cephalosporin, penam, fluoroquinolone, chloramphenicol, carbapenem, macrolide, and aminoglycoside, providing evidence for the co-selection of these resistance genes in different soils. Furthermore, the influence of vegetation cover on the forest floor was notable as a protective factor against the impact of human contamination. Regarding chemical characterization, the presence of heavy metals, different stress response mechanisms in monoculture soils, and the abundance of mobile genetic elements in crop and pasture soils stand out. The elimination of the forest increases the diversity of genes for resistance to biocides, favoring the selection of genes for resistance to antibiotics in soils. |
publishDate |
2022 |
dc.date.accessioned.fl_str_mv |
2022-10-11T12:33:51Z |
dc.date.available.fl_str_mv |
2022-10-11T12:33:51Z |
dc.date.issued.fl_str_mv |
2022 |
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.citation.fl_str_mv |
ALEGRIA, Oscar Cardenas et al. Impacts of soybean agriculture on the resistome of the Amazonian soil. Frontiers in Microbiology, v. 13, n. 948188, 2022. DOI: https://doi.org/10.3389/fmicb.2022.948188. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500545/pdf/fmicb-13-948188.pdf. |
dc.identifier.uri.fl_str_mv |
https://patua.iec.gov.br/handle/iec/4672 |
dc.identifier.issn.-.fl_str_mv |
1664-302X |
dc.identifier.doi.pt_BR.fl_str_mv |
10.3389/fmicb.2022.948188 |
identifier_str_mv |
ALEGRIA, Oscar Cardenas et al. Impacts of soybean agriculture on the resistome of the Amazonian soil. Frontiers in Microbiology, v. 13, n. 948188, 2022. DOI: https://doi.org/10.3389/fmicb.2022.948188. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500545/pdf/fmicb-13-948188.pdf. 1664-302X 10.3389/fmicb.2022.948188 |
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https://patua.iec.gov.br/handle/iec/4672 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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Frontiers Media |
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Frontiers Media |
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