Literature DB >> 33419116

Higher Sensitivity of Microbial Network Than Community Structure under Acid Rain.

Ziqiang Liu1,2, Hui Wei1,2,3,4,5, Jiaen Zhang1,2,3,4,5, Muhammad Saleem6, Yanan He1,2, Jiawen Zhong1,2, Rui Ma1,2.   

Abstract

Acid rain (AR), as a global environmental threat, has profoundly adverse effects on natural sn>an class="Chemical">oil ecosystems. Microorganisms involved in the nitrogen (N) cycle regulate the global N balance and climate stabilization, but little is known whether and how AR influences the structure and complexity of these microbial communities. Herein, we conducted an intact soil core experiment by manipulating the acidity of simulated rain (pH 7.5 (control, CK) vs. pH 4.0 (AR)) in subtropical agricultural soil, to reveal the differences in the structure and complexity of soil nitrifying and denitrifying microbiota using Illumina amplicon sequencing of functional genes (amoA, nirS, and nosZ). Networks of ammonia-oxidizing archaea (AOA) and nirS-carrying denitrifiers in AR treatment were less complex with fewer nodes and lower connectivity, while network of nosZ-carrying denitrifiers in AR treatment had higher complexity and connectivity relative to CK. Supporting this, AR reduced the abundance of keystone taxa in networks of AOA and nirS-carrying denitrifiers, but increased the abundance of keystone taxa in nosZ-carrying denitrifiers network. However, AR did not alter the community structure of AOA, ammonia-oxidizing bacteria (AOB), nirS-, and nosZ-carrying denitrifiers. Moreover, AR did not change soil N2O emissions during the experimental period. AOB community structure significantly correlated with content of soil available phosphorus (P), while the community structures of nirS- and nosZ-carrying denitrifiers both correlated with soil pH and available P content. Soil N2O emission was mainly driven by the nirS-carrying denitrifiers. Our results present new perspective on the impacts of AR on soil N-cycle microbial network complexity and keystone taxa in the context of global changes.

Entities:  

Keywords:  N cycle; acid deposition; functional genes; high-throughput sequencing; microbial co-occurrence networks

Year:  2021        PMID: 33419116      PMCID: PMC7825572          DOI: 10.3390/microorganisms9010118

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  40 in total

1.  Quantitative analyses of the abundance and composition of ammonia-oxidizing bacteria and ammonia-oxidizing archaea of a Chinese upland red soil under long-term fertilization practices.

Authors:  Ji-Zheng He; Ju-Pei Shen; Li-Mei Zhang; Yong-Guan Zhu; Yuan-Ming Zheng; Ming-Gang Xu; Hongjie Di
Journal:  Environ Microbiol       Date:  2007-09       Impact factor: 5.491

2.  The influence of soil pH on the diversity, abundance and transcriptional activity of ammonia oxidizing archaea and bacteria.

Authors:  Graeme W Nicol; Sven Leininger; Christa Schleper; James I Prosser
Journal:  Environ Microbiol       Date:  2008-08-14       Impact factor: 5.491

Review 3.  Consequences of changing biodiversity.

Authors:  F S Chapin; E S Zavaleta; V T Eviner; R L Naylor; P M Vitousek; H L Reynolds; D U Hooper; S Lavorel; O E Sala; S E Hobbie; M C Mack; S Díaz
Journal:  Nature       Date:  2000-05-11       Impact factor: 49.962

4.  Effects of simulated acid rain on microbial characteristics in a lateritic red soil.

Authors:  Hua-qin Xu; Jia-en Zhang; Ying Ouyang; Ling Lin; Guo-ming Quan; Ben-liang Zhao; Jia-yu Yu
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-24       Impact factor: 4.223

5.  Effect of simulated acid rain on CO2, CH4 and N2O fluxes and rice productivity in a subtropical Chinese paddy field.

Authors:  Chun Wang; Weiqi Wang; Jordi Sardans; Wanli An; Congsheng Zeng; Abbas Ali Abid; Josep Peñuelas
Journal:  Environ Pollut       Date:  2018-09-20       Impact factor: 8.071

6.  Quality dependence of litter decomposition and its carbon, nitrogen and phosphorus release under simulated acid rain treatments.

Authors:  Hui Wei; Rui Ma; Jiaen Zhang; Leyi Zhou; Ziqiang Liu; Zhenyi Fan; Jiayue Yang; Xiaoran Shan; Huimin Xiang
Journal:  Environ Sci Pollut Res Int       Date:  2020-03-29       Impact factor: 4.223

7.  A comprehensive survey of soil acidobacterial diversity using pyrosequencing and clone library analyses.

Authors:  Ryan T Jones; Michael S Robeson; Christian L Lauber; Micah Hamady; Rob Knight; Noah Fierer
Journal:  ISME J       Date:  2009-01-08       Impact factor: 10.302

8.  Deciphering microbial interactions and detecting keystone species with co-occurrence networks.

Authors:  David Berry; Stefanie Widder
Journal:  Front Microbiol       Date:  2014-05-20       Impact factor: 5.640

9.  Long-Term Oil Contamination Alters the Molecular Ecological Networks of Soil Microbial Functional Genes.

Authors:  Yuting Liang; Huihui Zhao; Ye Deng; Jizhong Zhou; Guanghe Li; Bo Sun
Journal:  Front Microbiol       Date:  2016-02-03       Impact factor: 5.640

10.  Soil bacterial networks are less stable under drought than fungal networks.

Authors:  Franciska T de Vries; Rob I Griffiths; Mark Bailey; Hayley Craig; Mariangela Girlanda; Hyun Soon Gweon; Sara Hallin; Aurore Kaisermann; Aidan M Keith; Marina Kretzschmar; Philippe Lemanceau; Erica Lumini; Kelly E Mason; Anna Oliver; Nick Ostle; James I Prosser; Cecile Thion; Bruce Thomson; Richard D Bardgett
Journal:  Nat Commun       Date:  2018-08-02       Impact factor: 14.919

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Journal:  BMC Plant Biol       Date:  2021-03-04       Impact factor: 4.215

2.  MicNet toolbox: Visualizing and unraveling a microbial network.

Authors:  Natalia Favila; David Madrigal-Trejo; Daniel Legorreta; Jazmín Sánchez-Pérez; Laura Espinosa-Asuar; Luis E Eguiarte; Valeria Souza
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