Literature DB >> 33439456

The spatial variation of soil bacterial community assembly processes affects the accuracy of source tracking in ten major Chinese cities.

Teng Yang1, Yu Shi1, Jun Zhu2, Chang Zhao3, Jianmei Wang4,5, Zhiyong Liu5,6, Xiao Fu1, Xu Liu1,5, Jiangwei Yan6, Meiqing Yuan7,8, Haiyan Chu9,10.   

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 (R2=0.50). Within cities (<100 km), the aforementioned biogeographic patterns were weakened. Process analysis showed that homogenizing dispersal and dispersal limitation dominated soil bacterial assembly at small and large spatial scales, respectively. Accordingly, the probabilities of accurately tracking random soil sources to certain cities and districts were 90.0% and 66.7%, respectively. When the tested samples originated from cities that were more than 1,265 km apart, the soil sources could be identified with nearly 100% accuracy. Overall, this study demonstrates the strong distance-decay relationship and the clear geographic zoning of urban soil bacterial communities among cities. The varied importance of different community assembly processes at multiple spatial scales strongly affects the accuracy of microbial source tracking.
© 2021. Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  assembly processes; dispersal limitation; distance-decay relationship; distribution patterns; geographic zoning; homogenizing dispersal; microbial source tracking; urban soil bacteria

Mesh:

Year:  2021        PMID: 33439456     DOI: 10.1007/s11427-020-1843-6

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  62 in total

1.  Stochastic distribution of small soil eukaryotes resulting from high dispersal and drift in a local environment.

Authors:  Mohammad Bahram; Petr Kohout; Sten Anslan; Helery Harend; Kessy Abarenkov; Leho Tedersoo
Journal:  ISME J       Date:  2015-09-22       Impact factor: 10.302

2.  Genome reduction in an abundant and ubiquitous soil bacterium 'Candidatus Udaeobacter copiosus'.

Authors:  Tess E Brewer; Kim M Handley; Paul Carini; Jack A Gilbert; Noah Fierer
Journal:  Nat Microbiol       Date:  2016-10-31       Impact factor: 17.745

3.  Not poles apart: Antarctic soil fungal communities show similarities to those of the distant Arctic.

Authors:  Filipa Cox; Kevin K Newsham; Roland Bol; Jennifer A J Dungait; Clare H Robinson
Journal:  Ecol Lett       Date:  2016-03-02       Impact factor: 9.492

Review 4.  The Future of Environmental DNA in Forensic Science.

Authors:  Julia S Allwood; Noah Fierer; Robert R Dunn
Journal:  Appl Environ Microbiol       Date:  2020-01-07       Impact factor: 4.792

5.  Microbial Source Tracking Using 16S rRNA Amplicon Sequencing Identifies Evidence of Widespread Contamination from Young Children's Feces in an Urban Slum of Nairobi, Kenya.

Authors:  Valerie Bauza; Vincent Madadi; Robinson M Ocharo; Thanh H Nguyen; Jeremy S Guest
Journal:  Environ Sci Technol       Date:  2019-07-03       Impact factor: 9.028

Review 6.  A new perspective on microbial landscapes within food production.

Authors:  Nicholas A Bokulich; Zachery T Lewis; Kyria Boundy-Mills; David A Mills
Journal:  Curr Opin Biotechnol       Date:  2016-01-11       Impact factor: 9.740

7.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

8.  The under-recognized dominance of Verrucomicrobia in soil bacterial communities.

Authors:  Gaddy T Bergmann; Scott T Bates; Kathryn G Eilers; Christian L Lauber; J Gregory Caporaso; William A Walters; Rob Knight; Noah Fierer
Journal:  Soil Biol Biochem       Date:  2011-07       Impact factor: 7.609

9.  Chemical elemental distribution and soil DNA fingerprints provide the critical evidence in murder case investigation.

Authors:  Giuseppe Concheri; Daniela Bertoldi; Elisa Polone; Stefan Otto; Roberto Larcher; Andrea Squartini
Journal:  PLoS One       Date:  2011-06-03       Impact factor: 3.240

10.  The biomass distribution on Earth.

Authors:  Yinon M Bar-On; Rob Phillips; Ron Milo
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-21       Impact factor: 11.205

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  2 in total

1.  Rare genera differentiate urban green space soil bacterial communities in three cities across the world.

Authors:  Jacob G Mills; Caitlin A Selway; Laura S Weyrich; Chris Skelly; Philip Weinstein; Torsten Thomas; Jennifer M Young; Emma Marczylo; Sudesh Yadav; Vijay Yadav; Andrew J Lowe; Martin F Breed
Journal:  Access Microbiol       Date:  2022-01-27

Review 2.  Advances in artificial intelligence-based microbiome for PMI estimation.

Authors:  Ziwei Wang; Fuyuan Zhang; Linlin Wang; Huiya Yuan; Dawei Guan; Rui Zhao
Journal:  Front Microbiol       Date:  2022-10-04       Impact factor: 6.064

  2 in total

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