The chemodiversity of paddy soil dissolved organic matter correlates with microbial community at continental scales View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Hong-Yi Li, Hang Wang, Hai-Tiao Wang, Pei-Yong Xin, Xin-Hua Xu, Yun Ma, Wei-Ping Liu, Chang-Yun Teng, Cheng-Liang Jiang, Li-Ping Lou, Wyatt Arnold, Lauren Cralle, Yong-Guan Zhu, Jin-Fang Chu, Jack A Gilbert, Zhi-Jian Zhang

ABSTRACT

BACKGROUND: Paddy soil dissolved organic matter (DOM) represents a major hotspot for soil biogeochemistry, yet we know little about its chemodiversity let alone the microbial community that shapes it. Here, we leveraged ultrahigh-resolution mass spectrometry, amplicon, and metagenomic sequencing to characterize the molecular distribution of DOM and the taxonomic and functional microbial diversity in paddy soils across China. We hypothesized that variances in microbial community significantly associate with changes in soil DOM molecular composition. RESULTS: We report that both microbial and DOM profiles revealed geographic patterns that were associated with variation in mean monthly precipitation, mean annual temperature, and pH. DOM molecular diversity was significantly correlated with microbial taxonomic diversity. An increase in DOM molecules categorized as peptides, carbohydrates, and unsaturated aliphatics, and a decrease in those belonging to polyphenolics and polycyclic aromatics, significantly correlated with proportional changes in some of the microbial taxa, such as Syntrophobacterales, Thermoleophilia, Geobacter, Spirochaeta, Gaiella, and Defluviicoccus. DOM composition was also associated with the relative abundances of the microbial metabolic pathways, such as anaerobic carbon fixation, glycolysis, lignolysis, fermentation, and methanogenesis. CONCLUSIONS: Our study demonstrates the continental-scale distribution of DOM is significantly correlated with the taxonomic profile and metabolic potential of the rice paddy microbiome. Abiotic factors that have a distinct effect on community structure can also influence the chemodiversity of DOM and vice versa. Deciphering these associations and the underlying mechanisms can precipitate understanding of the complex ecology of paddy soils, as well as help assess the effects of human activities on biogeochemistry and greenhouse gas emissions in paddy soils. More... »

PAGES

187

References to SciGraph publications

  • 2015-04. Bacterial succession in paddy soils derived from different parent materials in JOURNAL OF SOILS AND SEDIMENTS
  • 2010-02. Identification of iron-reducing microorganisms in anoxic rice paddy soil by 13C-acetate probing in THE ISME JOURNAL
  • 2004-01. The strict anaerobe Bacteroides fragilis grows in and benefits from nanomolar concentrations of oxygen in NATURE
  • 2015-12. Differences in fertilization impacts on organic carbon content and stability in a paddy and an upland soil in subtropical China in PLANT AND SOIL
  • 1996-08. The heterogeneous nature of microbial products as shown by solid-state13C CP/MAS NMR spectroscopy in BIOGEOCHEMISTRY
  • 2001-06. Pesticide effects on bacterial diversity in agricultural soils – a review in BIOLOGY AND FERTILITY OF SOILS
  • 2015-12. The links between ecosystem multifunctionality and above- and belowground biodiversity are mediated by climate in NATURE COMMUNICATIONS
  • 2016-04. Linking dissolved organic carbon cycling to organic carbon fluxes in rice paddies under different water management practices in PLANT AND SOIL
  • 2013-01. Molecular characterization of dissolved organic matter (DOM): a critical review in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2016-07. Deciphering associations between dissolved organic molecules and bacterial communities in a pelagic marine system in THE ISME JOURNAL
  • 2016-07-05. Temperature mediates continental-scale diversity of microbes in forest soils in NATURE COMMUNICATIONS
  • 2005-06. Extracellular electron transfer via microbial nanowires in NATURE
  • 2012-07. Beyond biogeographic patterns: processes shaping the microbial landscape in NATURE REVIEWS MICROBIOLOGY
  • 2015-12. Plant species diversity affects infiltration capacity in an experimental grassland through changes in soil properties in PLANT AND SOIL
  • 2004-04. Investigation on Temporal Variation in Methane Emission from Different Rice Cultivars under the Influence of Weeds in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2015-11-23. The contentious nature of soil organic matter in NATURE
  • 2012-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 2010-05. QIIME allows analysis of high-throughput community sequencing data in NATURE METHODS
  • 2015-01. Fast and sensitive protein alignment using DIAMOND in NATURE METHODS
  • 2015-12-02. Understanding the incremental value of novel diagnostic tests for tuberculosis in NATURE
  • 2016-04-07. Groundwater–surface water mixing shifts ecological assembly processes and stimulates organic carbon turnover in NATURE COMMUNICATIONS
  • 2016-11-28. Direct evidence for microbial-derived soil organic matter formation and its ecophysiological controls in NATURE COMMUNICATIONS
  • 2016-04-13. Fast and sensitive taxonomic classification for metagenomics with Kaiju in NATURE COMMUNICATIONS
  • 2010-12. Prodigal: prokaryotic gene recognition and translation initiation site identification in BMC BIOINFORMATICS
  • 1990-12. Substrate flow in the rhizosphere in PLANT AND SOIL
  • 2014-12. Chemodiversity of dissolved organic matter in lakes driven by climate and hydrology in NATURE COMMUNICATIONS
  • 2016-04. Comparative study of organic matter chemical characterization using negative and positive mode electrospray ionization ultrahigh-resolution mass spectrometry in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 1996-08. Humic substances as electron acceptors for microbial respiration in NATURE
  • 1998-10. Precambrian Shield Wetlands: Hydrologic Control of the Sources and Export of Dissolved Organic Matter in CLIMATIC CHANGE
  • 2016-10-24. Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system in NATURE COMMUNICATIONS
  • 2000-03. Localization of iron-reducing activity in paddy soilby profile studies in BIOGEOCHEMISTRY
  • 2017-12. Feed in summer, rest in winter: microbial carbon utilization in forest topsoil in MICROBIOME
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40168-018-0561-x

    DOI

    http://dx.doi.org/10.1186/s40168-018-0561-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107730949

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30340631


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