ArticleScience China. Life sciences2021
The spatial variation of soil bacterial community assembly processes affects the accuracy of source tracking in ten major Chinese cities.
Article in Science China. Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Honey Bee Body Surface as a Microbial Hub: Connectivity Shaped by Monoculture vs. Polyculture Farming.Insects · 2026Article
- Distribution patterns of soil bacteria, fungi, and protists emerge from distinct assembly processes across subcommunities.Ecology and evolution · 2024Article
- Drought-resistant trait of different crop genotypes determines assembly patterns of soil and phyllosphere microbial communities.Microbiology spectrum · 2023Article
- Plant and fungal species interactions differ between aboveground and belowground habitats in mountain forests of eastern China.Science China. Life sciences · 2023Article
- Application of Microbiome in Forensics.Genomics, proteomics & bioinformatics · 2023Review
- Rhizosphere microbial community assembly and association networks strongly differ based on vegetation type at a local environment scale.Frontiers in microbiology · 2023Article
- Trends in forensic microbiology: From classical methods to deep learning.Frontiers in microbiology · 2023Review
- Rare genera differentiate urban green space soil bacterial communities in three cities across the world.Access microbiology · 2022Article
- Advances in artificial intelligence-based microbiome for PMI estimation.Frontiers in microbiology · 2022Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urban soils harbor billions of bacterial cells and millions of species. However, the distribution patterns and assembly processes of bacterial communities remain largely uncharacterized in urban soils. It is also unknown if we can use the bacteria to track soil sources to certain cities and districts. Here, Illumina MiSeq sequencing was used to survey soil bacterial communities from 529 random plots spanning 61 districts and 10 major cities in China. Over a 3,000 km range, community similarity declined with increasing geographic distance (Mantel r=0.62), and community composition was clustered by city (R
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