The interconnected rhizosphere: High network complexity dominates rhizosphere assemblages

Ecology Letters, Journal Year: 2016, Volume and Issue: 19(8), P. 926 - 936

Published: June 6, 2016

Abstract While interactions between roots and microorganisms have been intensively studied, we know little about among root‐associated microbes. We used random matrix theory‐based network analysis of 16S rRNA genes to identify bacterial networks associated with wild oat ( Avena fatua ) over two seasons in greenhouse microcosms. Rhizosphere were substantially more complex than those surrounding soils, indicating the rhizosphere has a greater potential for niche‐sharing. Network complexity increased as plants grew, even diversity decreased, highlighting that community organisation is not captured by univariate diversity. Covariations predominantly positive (> 80%), suggesting extensive mutualistic may occur bacteria; identified quorum‐based signalling one strategy. Putative keystone taxa often had low relative abundances, low‐abundance significantly contribute function. complexity, previously undescribed property microbiome, appears be defining characteristic this habitat.

Language: Английский

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A general framework for quantitatively assessing ecological stochasticity

Proceedings of the National Academy of Sciences, Journal Year: 2019, Volume and Issue: 116(34), P. 16892 - 16898

Published: Aug. 7, 2019

Understanding the community assembly mechanisms controlling biodiversity patterns is a central issue in ecology. Although it generally accepted that both deterministic and stochastic processes play important roles assembly, quantifying their relative importance challenging. Here we propose general mathematical framework to quantify ecological stochasticity under different situations which factors drive communities more similar or dissimilar than null expectation. An index, normalized ratio (NST), was developed with 50% as boundary point between (<50%) (>50%) assembly. NST tested simulated by considering abiotic filtering, competition, environmental noise, spatial scales. All approaches showed limited performance at large scales very high noise. However, all of other scenarios, accuracy (0.90 1.00) precision (0.91 0.99), averages 0.37 higher (0.1 0.7) 0.33 (0.0 1.8) previous approaches. also applied estimate succession groundwater microbial response organic carbon (vegetable oil) injection. Our results shifted from (NST = 21%) 70%) right after input. As vegetable oil consumed, gradually returned be 27%). In addition, our demonstrated model algorithms similarity metrics had strong effects on stochasticity.

Language: Английский

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Biodiversity and species competition regulate the resilience of microbial biofilm community

Molecular Ecology, Journal Year: 2017, Volume and Issue: 26(21), P. 6170 - 6182

Published: Sept. 19, 2017

The relationship between biodiversity and ecosystem stability is poorly understood in microbial communities. Biofilm communities small bioreactors called electrolysis cells (MEC) contain moderate species numbers easy tractable functional traits, thus providing an ideal platform for verifying ecological theories ecosystems. Here, we investigated the resilience of biofilm with a gradient diversity, explored response to pH shock. results showed that all could recover stable performance after disturbance, exhibiting great ability. A further analysis composition rebound Geobacter other exoelectrogens contributed resilient effectiveness, presence Methanobrevibacter might delay recovery biofilms. higher diversity tended be recovered faster, implying biofilms high better environmental disturbance. Network revealed negative interactions two dominant genera increased when time became longer, internal resource or spatial competition key taxa fundamentally impact performances This study provides new insights into our understanding functioning.

Language: Английский

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Co-occurrence patterns of soybean rhizosphere microbiome at a continental scale

Soil Biology and Biochemistry, Journal Year: 2017, Volume and Issue: 118, P. 178 - 186

Published: Dec. 28, 2017

Language: Английский

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LDPE microplastics affect soil microbial communities and nitrogen cycling

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 773, P. 145640 - 145640

Published: Feb. 5, 2021

Language: Английский

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Mixing effect of polylactic acid microplastic and straw residue on soil property and ecological function

Chemosphere, Journal Year: 2019, Volume and Issue: 243, P. 125271 - 125271

Published: Nov. 2, 2019

Language: Английский

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Impacts of inorganic and organic fertilization treatments on bacterial and fungal communities in a paddy soil

Applied Soil Ecology, Journal Year: 2017, Volume and Issue: 112, P. 42 - 50

Published: Jan. 12, 2017

Language: Английский

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Abundance of kinless hubs within soil microbial networks are associated with high functional potential in agricultural ecosystems

Environment International, Journal Year: 2020, Volume and Issue: 142, P. 105869 - 105869

Published: June 25, 2020

Microbial taxa within complex ecological networks can be classified by their universal roles based on level of connectivity with other taxa. Highly connected an network (kinless hubs) are theoretically expected to support higher levels ecosystem functions than less (peripherals). Empirical evidence the role kinless hubs in regulating functional potential soil microbial communities, however, is largely unexplored and poorly understood agricultural ecosystems. Here, we built a correlation fungal bacterial using large-scale survey consisting 243 samples across functionally economically important ecosystems (wheat maize); found that relative abundance as positively significantly correlated genes including for C fixation, degradation, methanol, N cycling, P cycling S cycling. Structural equation modeling multiple properties further indicated hubs, but not provincial, connector or peripheral taxa, had direct significant positive relationships genes. Our findings provide novel associated high potential, implications understanding managing (through manipulating key species) at large spatial scale.

Language: Английский

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Higher precipitation strengthens the microbial interactions in semi‐arid grassland soils

Global Ecology and Biogeography, Journal Year: 2018, Volume and Issue: 27(5), P. 570 - 580

Published: Jan. 29, 2018

Abstract Aim Growing attention has been focused on the changes in structure and diversity of microbial communities under altered precipitation pattern, but little is known about how this factor impacts interactions. Our aim was to elucidate variations interactions semi‐arid grassland soils determine key regulating assemblies water‐limited areas. Location A c . 3,700 km transect across three habitats (desert, desert typical grassland) Northern China. Time period July August 2012. Major taxa studied Total bacteria archaea. Method The random matrix theory (RMT)‐based network inference approach used construct species interaction networks. relationships between topology environmental variables were examined by Mantel partial tests. Results At regional scale (across habitats), mean annual most important constraining structure, whereas at local (within a habitat), soil conditions plant parameters became more important, their relative effects differed among habitats. In particular, no correlation detected any factors. number central increased substantially networks comparison those network. Inter‐ intra‐module connections, particularly negative also two Main conclusions Microbial become complex as increases. simple (no connectors modules, sparsely distributed lower competitive links) less association with factors indicate that extremely dry ecosystems are unstable vulnerable; is, future climate change will greatly influence these Overall, our findings provide new insight into way which microbes respond changing patterns ecosystems.

Language: Английский

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Long-term successional dynamics of microbial association networks in anaerobic digestion processes

Water Research, Journal Year: 2016, Volume and Issue: 104, P. 1 - 10

Published: Aug. 3, 2016

Language: Английский

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