Lucas D. Vieira , Juliana Silveira dos Santos , Erica Hasui , Marcelino Benvindo-Souza , Daniela de Melo e Silva , Rosane Garcia Collevatti
{"title":"土壤微生物组的宏基因组学揭示了塞拉多农业景观中的群落同质化","authors":"Lucas D. Vieira , Juliana Silveira dos Santos , Erica Hasui , Marcelino Benvindo-Souza , Daniela de Melo e Silva , Rosane Garcia Collevatti","doi":"10.1016/j.agee.2025.109807","DOIUrl":null,"url":null,"abstract":"<div><div>Deforestation and land use intensification have been affecting the soil microbiota community, decreasing taxonomic and functional diversity of soil Archaea and Bacteria, and thus affecting key ecosystem functions. Here, we assess the influence of landscape structure and soil physico-chemical properties on microbiota community (Archaea and Bacteria) in agricultural landscapes in the Cerrado ecoregion. We used a metagenomics approach to obtain the soil microbiome community composition in 32 agricultural landscapes, and piecewise structural equation models to conjointly analyze the effects of landscape structure and soil on taxonomic, phylogenetic, and functional alpha diversity. We also analyzed the effects of landscape structure and soil properties on community taxonomic and phylogenetic beta diversity, using multiple matrix regression with randomization. We found that the number and shape of natural vegetation (NV) areas positively affected taxonomic, phylogenetic, and functional soil microbiota alpha diversity. Percentage of pasture and shape of NV had a positive influence on phosphorus content. Percentage of savanna and landscape compositional heterogeneity negatively affected soil organic matter content. However, soil properties had only an indirect effect on the microbiota alpha diversity. Taxonomic and phylogenetic beta diversity and their components, nestedness and turnover, were very low between soil sites, and positively related to the amount of NV in the landscape and soil chromium concentration. Our results show that rather than decreasing Archaea and Bacteria species richness, intensive agriculture is modifying the community’s structure homogenizing species composition between landscapes, leading to a dominance of groups more adapted to intensive agriculture production systems.</div></div>","PeriodicalId":7512,"journal":{"name":"Agriculture, Ecosystems & Environment","volume":"393 ","pages":"Article 109807"},"PeriodicalIF":6.4000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metagenomics of soil microbiome uncovers community homogenization in agricultural landscapes in Cerrado\",\"authors\":\"Lucas D. Vieira , Juliana Silveira dos Santos , Erica Hasui , Marcelino Benvindo-Souza , Daniela de Melo e Silva , Rosane Garcia Collevatti\",\"doi\":\"10.1016/j.agee.2025.109807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Deforestation and land use intensification have been affecting the soil microbiota community, decreasing taxonomic and functional diversity of soil Archaea and Bacteria, and thus affecting key ecosystem functions. Here, we assess the influence of landscape structure and soil physico-chemical properties on microbiota community (Archaea and Bacteria) in agricultural landscapes in the Cerrado ecoregion. We used a metagenomics approach to obtain the soil microbiome community composition in 32 agricultural landscapes, and piecewise structural equation models to conjointly analyze the effects of landscape structure and soil on taxonomic, phylogenetic, and functional alpha diversity. We also analyzed the effects of landscape structure and soil properties on community taxonomic and phylogenetic beta diversity, using multiple matrix regression with randomization. We found that the number and shape of natural vegetation (NV) areas positively affected taxonomic, phylogenetic, and functional soil microbiota alpha diversity. Percentage of pasture and shape of NV had a positive influence on phosphorus content. Percentage of savanna and landscape compositional heterogeneity negatively affected soil organic matter content. However, soil properties had only an indirect effect on the microbiota alpha diversity. Taxonomic and phylogenetic beta diversity and their components, nestedness and turnover, were very low between soil sites, and positively related to the amount of NV in the landscape and soil chromium concentration. Our results show that rather than decreasing Archaea and Bacteria species richness, intensive agriculture is modifying the community’s structure homogenizing species composition between landscapes, leading to a dominance of groups more adapted to intensive agriculture production systems.</div></div>\",\"PeriodicalId\":7512,\"journal\":{\"name\":\"Agriculture, Ecosystems & Environment\",\"volume\":\"393 \",\"pages\":\"Article 109807\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agriculture, Ecosystems & Environment\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167880925003391\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture, Ecosystems & Environment","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167880925003391","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Metagenomics of soil microbiome uncovers community homogenization in agricultural landscapes in Cerrado
Deforestation and land use intensification have been affecting the soil microbiota community, decreasing taxonomic and functional diversity of soil Archaea and Bacteria, and thus affecting key ecosystem functions. Here, we assess the influence of landscape structure and soil physico-chemical properties on microbiota community (Archaea and Bacteria) in agricultural landscapes in the Cerrado ecoregion. We used a metagenomics approach to obtain the soil microbiome community composition in 32 agricultural landscapes, and piecewise structural equation models to conjointly analyze the effects of landscape structure and soil on taxonomic, phylogenetic, and functional alpha diversity. We also analyzed the effects of landscape structure and soil properties on community taxonomic and phylogenetic beta diversity, using multiple matrix regression with randomization. We found that the number and shape of natural vegetation (NV) areas positively affected taxonomic, phylogenetic, and functional soil microbiota alpha diversity. Percentage of pasture and shape of NV had a positive influence on phosphorus content. Percentage of savanna and landscape compositional heterogeneity negatively affected soil organic matter content. However, soil properties had only an indirect effect on the microbiota alpha diversity. Taxonomic and phylogenetic beta diversity and their components, nestedness and turnover, were very low between soil sites, and positively related to the amount of NV in the landscape and soil chromium concentration. Our results show that rather than decreasing Archaea and Bacteria species richness, intensive agriculture is modifying the community’s structure homogenizing species composition between landscapes, leading to a dominance of groups more adapted to intensive agriculture production systems.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.