ArticleMicrobial ecology2014
Land use type significantly affects microbial gene transcription in soil.
Article in Microbial ecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 47 citations in OpenAlex.
- Rapid Response of Nitrogen Cycling Gene Transcription to Labile Carbon Amendments in a Soil Microbial Community.mSystems · 2021Article
- The effect of plant compartments on the Broussonetia papyrifera-associated fungal and bacterial communities.Applied microbiology and biotechnology · 2020Article
- Ecological Processes Shaping Bulk Soil and Rhizosphere Microbiome Assembly in a Long-Term Amazon Forest-to-Agriculture Conversion.Microbial ecology · 2020Article
- Tree Species Shape Soil Bacterial Community Structure and Function in Temperate Deciduous Forests.Frontiers in microbiology · 2019Article
- Article
- Land Use and Seasonal Effects on the Soil Microbiome of a Brazilian Dry Forest.Frontiers in microbiology · 2019Article
- The impact of reconstructed soils following oil sands exploitation on aspen and its associated belowground microbiome.Scientific reports · 2018Article
- Drylands soil bacterial community is affected by land use change and different irrigation practices in the Mezquital Valley, Mexico.Scientific reports · 2018Article
- Comparative Metatranscriptomics of Wheat Rhizosphere Microbiomes in Disease Suppressive and Non-suppressive Soils forFrontiers in microbiology · 2018Article
- Forest Soil Bacteria: Diversity, Involvement in Ecosystem Processes, and Response to Global Change.Microbiology and molecular biology reviews : MMBR · 2017Review
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- Article
- Distinctive Tropical Forest Variants Have Unique Soil Microbial Communities, But Not Always Low Microbial Diversity.Frontiers in microbiology · 2016Article
- Wastewater irrigation increases the abundance of potentially harmful gammaproteobacteria in soils in Mezquital Valley, Mexico.Applied and environmental microbiology · 2014Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil microorganisms play an essential role in sustaining biogeochemical processes and cycling of nutrients across different land use types. To gain insights into microbial gene transcription in forest and grassland soil, we isolated mRNA from 32 sampling sites. After sequencing of generated complementary DNA (cDNA), a total of 5,824,229 sequences could be further analyzed. We were able to assign nonribosomal cDNA sequences to all three domains of life. A dominance of bacterial sequences, which were affiliated to 25 different phyla, was found. Bacterial groups capable of aromatic compound degradation such as Phenylobacterium and Burkholderia were detected in significantly higher relative abundance in forest soil than in grassland soil. Accordingly, KEGG pathway categories related to degradation of aromatic ring-containing molecules (e.g., benzoate degradation) were identified in high abundance within forest soil-derived metatranscriptomic datasets. The impact of land use type forest on community composition and activity is evidently to a high degree caused by the presence of wood breakdown products. Correspondingly, bacterial groups known to be involved in lignin degradation and containing ligninolytic genes such as Burkholderia, Bradyrhizobium, and Azospirillum exhibited increased transcriptional activity in forest soil. Higher solar radiation in grassland presumably induced increased transcription of photosynthesis-related genes within this land use type. This is in accordance with high abundance of photosynthetic organisms and plant-infecting viruses in grassland.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.