ArticleFEMS microbiology ecology2019
Deforestation impacts network co-occurrence patterns of microbial communities in Amazon soils.
Article in FEMS microbiology ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Environmental Gradients and Conservation Status Determine the Structure and Carbon-Related Metabolic Potential of the Prokaryotic Communities of Mediterranean Inland Saline Shallow Lakes.Ecology and evolution · 2025Article
- Community-Level Metabolic Shifts Following Land Use Change in the Amazon Rainforest Identified by a Supervised Machine Leaning Approach.Environmental microbiology reports · 2025Article
- Afforestation-Induced Shifts in Soil Bacterial Diversity and Community Structure in the Saihanba Region.Microorganisms · 2024Article
- Communication between Plants and Rhizosphere Microbiome: Exploring the Root Microbiome for Sustainable Agriculture.Microorganisms · 2023Review
- Astragalus-cultivated soil was a suitable bed soil for nurturing Angelica sinensis seedlings from the rhizosphere microbiome perspective.Scientific reports · 2023Article
- Temporal assessment of N-cycle microbial functions in a tropical agricultural soil using gene co-occurrence networks.PloS one · 2023Article
- Current Progress on Epidemiology, Diagnosis, and Treatment of Sporotrichosis and Their Future Trends.Journal of fungi (Basel, Switzerland) · 2022Review
- Bacterial Communities of Forest Soils along Different Elevations: Diversity, Structure, and Functional Composition with Potential Impacts on COMicroorganisms · 2022Article
- High Salinity Inhibits Soil Bacterial Community Mediating Nitrogen Cycling.Applied and environmental microbiology · 2021Article
- Assessing Biotic and Abiotic Interactions of Microorganisms in Amazonia through Co-Occurrence Networks and DNA Metabarcoding.Microbial ecology · 2021Article
- Land-Use System and Forest Floor Explain Prokaryotic Metacommunity Structuring and Spatial Turnover in Amazonian Forest-to-Pasture Conversion Areas.Frontiers in microbiology · 2021Article
- Hidden heterogeneity and co-occurrence networks of soil prokaryotic communities revealed at the scale of individual soil aggregates.MicrobiologyOpen · 2021Article
- Article
- Strips of prairie vegetation placed within row crops can sustain native bee communities.PloS one · 2020Article
- The Nexus Between Plant and Plant Microbiome: Revelation of the Networking Strategies.Frontiers in microbiology · 2020Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-occurrence networks allow for the identification of potential associations among species, which may be important for understanding community assembly and ecosystem functions. We employed this strategy to examine prokaryotic co-occurrence patterns in the Amazon soils and the response of these patterns to land use change to pasture, with the hypothesis that altered microbial composition due to deforestation will mirror the co-occurrence patterns across prokaryotic taxa. In this study, we calculated Spearman correlations between operational taxonomic units (OTUs) as determined by 16S rRNA gene sequencing, and only robust correlations were considered for network construction (-0.80 ≥ P ≥ 0.80, adjusted P < 0.01). The constructed network represents distinct forest and pasture components, with altered compositional and topological features. A comparative analysis between two representative modules of these contrasting ecosystems revealed novel information regarding changes to metabolic pathways related to nitrogen cycling. Our results showed that soil physicochemical properties such as temperature, C/N and H++Al3+ had a significant impact on prokaryotic communities, with alterations to network topologies. Taken together, changes in co-occurrence patterns and physicochemical properties may contribute to ecosystem processes including nitrification and denitrification, two important biogeochemical processes occurring in tropical forest systems.
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