Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah

Autores
El Mujtar, Veronica Andrea; Gregorutti, Viviana Carolina; Eclesia, Roxana Paola; Wingeyer, Ana Beatriz; Lezana, Lucrecia; Canavelli, Sonia Beatriz; Tittonell, Pablo Adrian
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Although it is well established that land use and management affects soil microbial biodiversity, with consequences for soil-mediated ecosystem services, knowledge on human-induced variability in soil bacterial and fungal communities is more abundant for cropping than for livestock systems. In particular, grazing management affects vegetation cover and light availability to lower vegetation layers, particularly in wooded grazing ecosystems. Our objective was to evaluate the use of T-RFLP analysis to characterize soil microbial community patterns. We worked in a grazed temperate savannah in Entre Ríos (Argentina) and focused on two farms with different grazing management, resulting in different vegetation cover. At each farm, we sampled soils from four conditions forming a two shrub cover conditions (Open and Close) by two light availability conditions (High and Low) factorial set with three replicates. T-RFLP data for bacteria and fungi were used to characterize biodiversity patterns (diversity indexes, relative abundance of operational taxonomic units and community structure). Analyses were performed, between and within farms, using nonmetric multidimensional scaling analysis, non-parametric multivariate analysis of variance and network analysis. Variation patterns of soil microbial communities were detected using T-RFLP analysis in savannah soils from these two livestock farms. Farm, light and shrub conditions were statistically significant factors shaping variation patterns. For bacterial communities, light availability and shrub cover affected biodiversity and community structure respectively, but this impact was detected only for the farm with lower grazing intensity. For fungal communities, light availability was the factor shaping community structure, also with slightly higher impact on the farm with lower grazing intensity. These results suggest that in temperate woodlands lower grazing intensity, associated with higher vegetation cover, increases bacterial biodiversity while it decreases fungal community structure. Soil bacterial and fungal communities, showed contrasting patterns, and appear as sensitive indicators to monitor grazing management effects. We showed that T-RFLP analysis is a cost-effective methodology (compared to Illumina sequencing) that would be useful to disentangle impact of grazing intensity and vegetation cover in grazed temperate savannah.
Estación Experimental Agropecuaria Bariloche
Fil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Gregorutti, Viviana Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; Argentina
Fil: Eclesia, Roxana Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina
Fil: Wingeyer, Ana Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina
Fil: Lezana, Lucrecia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; Argentina
Fil: Canavelli, Sonia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fuente
Annals of Applied Biology (First published: 07 April 2021)
Materia
Cobertura de Suelos
Vegetación
Microorganismos del Suelo
Organismos del Suelo
Bacterias del Suelo
Land Cover
Vegetation
Soil Microorganisms
Soil Organisms
Soil Bacteria
Cobertura Vegetal
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/9731
Acceder
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oai_identifier_str oai:localhost:20.500.12123/9731
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannahEl Mujtar, Veronica AndreaGregorutti, Viviana CarolinaEclesia, Roxana PaolaWingeyer, Ana BeatrizLezana, LucreciaCanavelli, Sonia BeatrizTittonell, Pablo AdrianCobertura de SuelosVegetaciónMicroorganismos del SueloOrganismos del SueloBacterias del SueloLand CoverVegetationSoil MicroorganismsSoil OrganismsSoil BacteriaCobertura VegetalAlthough it is well established that land use and management affects soil microbial biodiversity, with consequences for soil-mediated ecosystem services, knowledge on human-induced variability in soil bacterial and fungal communities is more abundant for cropping than for livestock systems. In particular, grazing management affects vegetation cover and light availability to lower vegetation layers, particularly in wooded grazing ecosystems. Our objective was to evaluate the use of T-RFLP analysis to characterize soil microbial community patterns. We worked in a grazed temperate savannah in Entre Ríos (Argentina) and focused on two farms with different grazing management, resulting in different vegetation cover. At each farm, we sampled soils from four conditions forming a two shrub cover conditions (Open and Close) by two light availability conditions (High and Low) factorial set with three replicates. T-RFLP data for bacteria and fungi were used to characterize biodiversity patterns (diversity indexes, relative abundance of operational taxonomic units and community structure). Analyses were performed, between and within farms, using nonmetric multidimensional scaling analysis, non-parametric multivariate analysis of variance and network analysis. Variation patterns of soil microbial communities were detected using T-RFLP analysis in savannah soils from these two livestock farms. Farm, light and shrub conditions were statistically significant factors shaping variation patterns. For bacterial communities, light availability and shrub cover affected biodiversity and community structure respectively, but this impact was detected only for the farm with lower grazing intensity. For fungal communities, light availability was the factor shaping community structure, also with slightly higher impact on the farm with lower grazing intensity. These results suggest that in temperate woodlands lower grazing intensity, associated with higher vegetation cover, increases bacterial biodiversity while it decreases fungal community structure. Soil bacterial and fungal communities, showed contrasting patterns, and appear as sensitive indicators to monitor grazing management effects. We showed that T-RFLP analysis is a cost-effective methodology (compared to Illumina sequencing) that would be useful to disentangle impact of grazing intensity and vegetation cover in grazed temperate savannah.Estación Experimental Agropecuaria BarilocheFil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Gregorutti, Viviana Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; ArgentinaFil: Eclesia, Roxana Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; ArgentinaFil: Wingeyer, Ana Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; ArgentinaFil: Lezana, Lucrecia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; ArgentinaFil: Canavelli, Sonia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaWileyinfo:eu-repo/date/embargoEnd/2022-07-052021-07-05T13:13:05Z2021-07-05T13:13:05Z2021-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9731https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.126951744-7348https://doi.org/10.1111/aab.12695Annals of Applied Biology (First published: 07 April 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengFONTAGRO FTG/RF-15461-RGinfo:eu-repo/semantics/restrictedAccess2025-09-04T09:48:58Zoai:localhost:20.500.12123/9731instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:58.361INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
title Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
spellingShingle Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
El Mujtar, Veronica Andrea
Cobertura de Suelos
Vegetación
Microorganismos del Suelo
Organismos del Suelo
Bacterias del Suelo
Land Cover
Vegetation
Soil Microorganisms
Soil Organisms
Soil Bacteria
Cobertura Vegetal
title_short Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
title_full Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
title_fullStr Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
title_full_unstemmed Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
title_sort Assessing soil microbial biodiversity as affected by grazing and woody vegetation cover in a temperate savannah
dc.creator.none.fl_str_mv El Mujtar, Veronica Andrea
Gregorutti, Viviana Carolina
Eclesia, Roxana Paola
Wingeyer, Ana Beatriz
Lezana, Lucrecia
Canavelli, Sonia Beatriz
Tittonell, Pablo Adrian
author El Mujtar, Veronica Andrea
author_facet El Mujtar, Veronica Andrea
Gregorutti, Viviana Carolina
Eclesia, Roxana Paola
Wingeyer, Ana Beatriz
Lezana, Lucrecia
Canavelli, Sonia Beatriz
Tittonell, Pablo Adrian
author_role author
author2 Gregorutti, Viviana Carolina
Eclesia, Roxana Paola
Wingeyer, Ana Beatriz
Lezana, Lucrecia
Canavelli, Sonia Beatriz
Tittonell, Pablo Adrian
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Cobertura de Suelos
Vegetación
Microorganismos del Suelo
Organismos del Suelo
Bacterias del Suelo
Land Cover
Vegetation
Soil Microorganisms
Soil Organisms
Soil Bacteria
Cobertura Vegetal
topic Cobertura de Suelos
Vegetación
Microorganismos del Suelo
Organismos del Suelo
Bacterias del Suelo
Land Cover
Vegetation
Soil Microorganisms
Soil Organisms
Soil Bacteria
Cobertura Vegetal
dc.description.none.fl_txt_mv Although it is well established that land use and management affects soil microbial biodiversity, with consequences for soil-mediated ecosystem services, knowledge on human-induced variability in soil bacterial and fungal communities is more abundant for cropping than for livestock systems. In particular, grazing management affects vegetation cover and light availability to lower vegetation layers, particularly in wooded grazing ecosystems. Our objective was to evaluate the use of T-RFLP analysis to characterize soil microbial community patterns. We worked in a grazed temperate savannah in Entre Ríos (Argentina) and focused on two farms with different grazing management, resulting in different vegetation cover. At each farm, we sampled soils from four conditions forming a two shrub cover conditions (Open and Close) by two light availability conditions (High and Low) factorial set with three replicates. T-RFLP data for bacteria and fungi were used to characterize biodiversity patterns (diversity indexes, relative abundance of operational taxonomic units and community structure). Analyses were performed, between and within farms, using nonmetric multidimensional scaling analysis, non-parametric multivariate analysis of variance and network analysis. Variation patterns of soil microbial communities were detected using T-RFLP analysis in savannah soils from these two livestock farms. Farm, light and shrub conditions were statistically significant factors shaping variation patterns. For bacterial communities, light availability and shrub cover affected biodiversity and community structure respectively, but this impact was detected only for the farm with lower grazing intensity. For fungal communities, light availability was the factor shaping community structure, also with slightly higher impact on the farm with lower grazing intensity. These results suggest that in temperate woodlands lower grazing intensity, associated with higher vegetation cover, increases bacterial biodiversity while it decreases fungal community structure. Soil bacterial and fungal communities, showed contrasting patterns, and appear as sensitive indicators to monitor grazing management effects. We showed that T-RFLP analysis is a cost-effective methodology (compared to Illumina sequencing) that would be useful to disentangle impact of grazing intensity and vegetation cover in grazed temperate savannah.
Estación Experimental Agropecuaria Bariloche
Fil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Gregorutti, Viviana Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; Argentina
Fil: Eclesia, Roxana Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina
Fil: Wingeyer, Ana Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina
Fil: Lezana, Lucrecia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Parana; Argentina
Fil: Canavelli, Sonia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
description Although it is well established that land use and management affects soil microbial biodiversity, with consequences for soil-mediated ecosystem services, knowledge on human-induced variability in soil bacterial and fungal communities is more abundant for cropping than for livestock systems. In particular, grazing management affects vegetation cover and light availability to lower vegetation layers, particularly in wooded grazing ecosystems. Our objective was to evaluate the use of T-RFLP analysis to characterize soil microbial community patterns. We worked in a grazed temperate savannah in Entre Ríos (Argentina) and focused on two farms with different grazing management, resulting in different vegetation cover. At each farm, we sampled soils from four conditions forming a two shrub cover conditions (Open and Close) by two light availability conditions (High and Low) factorial set with three replicates. T-RFLP data for bacteria and fungi were used to characterize biodiversity patterns (diversity indexes, relative abundance of operational taxonomic units and community structure). Analyses were performed, between and within farms, using nonmetric multidimensional scaling analysis, non-parametric multivariate analysis of variance and network analysis. Variation patterns of soil microbial communities were detected using T-RFLP analysis in savannah soils from these two livestock farms. Farm, light and shrub conditions were statistically significant factors shaping variation patterns. For bacterial communities, light availability and shrub cover affected biodiversity and community structure respectively, but this impact was detected only for the farm with lower grazing intensity. For fungal communities, light availability was the factor shaping community structure, also with slightly higher impact on the farm with lower grazing intensity. These results suggest that in temperate woodlands lower grazing intensity, associated with higher vegetation cover, increases bacterial biodiversity while it decreases fungal community structure. Soil bacterial and fungal communities, showed contrasting patterns, and appear as sensitive indicators to monitor grazing management effects. We showed that T-RFLP analysis is a cost-effective methodology (compared to Illumina sequencing) that would be useful to disentangle impact of grazing intensity and vegetation cover in grazed temperate savannah.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-05T13:13:05Z
2021-07-05T13:13:05Z
2021-04-07
info:eu-repo/date/embargoEnd/2022-07-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/9731
https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.12695
1744-7348
https://doi.org/10.1111/aab.12695
url http://hdl.handle.net/20.500.12123/9731
https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.12695
https://doi.org/10.1111/aab.12695
identifier_str_mv 1744-7348
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv FONTAGRO FTG/RF-15461-RG
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Annals of Applied Biology (First published: 07 April 2021)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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