Redox control on carbon mineralization and dissolved organic matter along a chronosequence of paddy soils

2013 ◽  
Vol 64 (4) ◽  
pp. 476-487 ◽  
Author(s):  
A. Hanke ◽  
C. Cerli ◽  
J. Muhr ◽  
W. Borken ◽  
K. Kalbitz
2018 ◽  
Vol 52 (3) ◽  
pp. 963-971 ◽  
Author(s):  
Xiao-Ming Li ◽  
Guo-Xin Sun ◽  
Song-Can Chen ◽  
Zhi Fang ◽  
Hai-Yan Yuan ◽  
...  

Geoderma ◽  
2014 ◽  
Vol 228-229 ◽  
pp. 62-66 ◽  
Author(s):  
A. Hanke ◽  
M. Sauerwein ◽  
K. Kaiser ◽  
K. Kalbitz

2020 ◽  
Author(s):  
Liang Wei

<p>The biogeochemical interfaces are hotspots for organic matter (OM) transformation. However, direct and continuouxiacis tracing of OM transformations and N and P degradation processes are lacking due to the heterogeneous and opaque nature of soil microenvironment. To investigate these processes, a new soil microarray technology (SoilChips) was developed and used. Homogeneous 2-mm-diameter SoilChips were constructed by depositing a dispersed paddy soils with high and low soil organic carbon (SOC) content. A horizon suspension on a patterned glass. Dissolved organic matter from the original soil was added on the SoilChips to mimic biogeochemical processes on interfaces. The chemical composition of biogeochemical interfaces were evaluated via X-ray photoelectron spectroscopy (XPS) and the two-dimensional distribution of enzyme activities in SoilChips were evaluated by zymography. Over 30 days, soil with high SOC content increases microbial nutrition (N and P) requirements than soil with low SOC evidenced by higher hotspots of β-1,4-N-acetaminophen glucosidase, and acid phosphomonoesterases and higher 16S rRNA gene copies. The degree of humification in dissolved organic matter (DOM) was higher and the bioavailability of DOM was poorer in soil with high SOC than soil with low SOC. The poorest bioavailability of DOM was detected at the end of incubation in soil with high SOC. Molecular modeling of OM composition showed that low SOC mainly facilitated the microbial production of glucans but high SOC mainly facilitated the microbial production of proteins. We demonstrated that SOC content or DOM availability for microorganisms modifies the specific OM molecular processing and N and P degradation processes, thereby providing a direct insight into biogeochemical transformation of OM at micro-scale.</p>


2020 ◽  
Vol 203 ◽  
pp. 110990
Author(s):  
Bin Wang ◽  
Ming Li ◽  
Haiyang Zhang ◽  
Jingping Zhu ◽  
Shu Chen ◽  
...  

2020 ◽  
Vol 388 ◽  
pp. 121795 ◽  
Author(s):  
Mengmeng Yan ◽  
Xibai Zeng ◽  
Ji Wang ◽  
Andy A. Meharg ◽  
Caroline Meharg ◽  
...  

Microbiome ◽  
2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Hong-Yi Li ◽  
Hang Wang ◽  
Hai-Tao Wang ◽  
Pei-Yong Xin ◽  
Xin-Hua Xu ◽  
...  

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.


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