Microbial functional limitations and rhizosphere priming effect in permafrost

Author(s):  
Sylvain Monteux ◽  

<p>Considering the potential positive feedback between climate warming and the release of greenhouse gases following the increased decomposition of the organic matter stored in permafrost soils as they thaw is an important challenge for the upcoming climate change assessments. While our understanding of physico-chemical constraints on thawing permafrost SOM decomposition has vastly improved since IPCC’s fifth assessment report, biotic interactions can still be the source of large uncertainties. Here we discuss the effects of two biotic interactions in the context of thawing permafrost: rhizosphere priming effect and microbial functional limitations. Rhizosphere priming effects are still-unclear mechanisms that result in increased SOM decomposition rates in the vicinity of plant roots. We consider these effects through the PrimeSCale modeling framework, discussing its predictions and its limitations, in particular which observations and data should be acquired to further improve it. Microbial functional limitations were recently evidenced in permafrost microbial communities and consist in missing or impaired functions, likely due to strong environmental filtering over millennial time-scales. We present what this mechanism can imply in terms of permafrost soil functioning and briefly discuss what could be the next steps before its inclusions in modeling efforts.</p>

Rhizosphere ◽  
2021 ◽  
pp. 100455
Author(s):  
Wenchao Yan ◽  
Yuanyun Wang ◽  
Peijun Ju ◽  
Xinya Huang ◽  
Huai Chen

2021 ◽  
Author(s):  
Michaeline B. N. Albright ◽  
Stilianos Louca ◽  
Daniel E. Winkler ◽  
Kelli L. Feeser ◽  
Sarah-Jane Haig ◽  
...  

AbstractMicrobiome engineering is increasingly being employed as a solution to challenges in health, agriculture, and climate. Often manipulation involves inoculation of new microbes designed to improve function into a preexisting microbial community. Despite, increased efforts in microbiome engineering inoculants frequently fail to establish and/or confer long-lasting modifications on ecosystem function. We posit that one underlying cause of these shortfalls is the failure to consider barriers to organism establishment. This is a key challenge and focus of macroecology research, specifically invasion biology and restoration ecology. We adopt a framework from invasion biology that summarizes establishment barriers in three categories: (1) propagule pressure, (2) environmental filtering, and (3) biotic interactions factors. We suggest that biotic interactions is the most neglected factor in microbiome engineering research, and we recommend a number of actions to accelerate engineering solutions.


2017 ◽  
Vol 111 ◽  
pp. 78-84 ◽  
Author(s):  
Changfu Huo ◽  
Yiqi Luo ◽  
Weixin Cheng

2019 ◽  
Vol 16 (6) ◽  
pp. 1187-1209 ◽  
Author(s):  
Teamrat A. Ghezzehei ◽  
Benjamin Sulman ◽  
Chelsea L. Arnold ◽  
Nathaniel A. Bogie ◽  
Asmeret Asefaw Berhe

Abstract. Soil water status is one of the most important environmental factors that control microbial activity and rate of soil organic matter (SOM) decomposition. Its effect can be partitioned into effect of water energy status (water potential) on cellular activity, effect of water volume on cellular motility, and aqueous diffusion of substrate and nutrients, as well as the effect of air content and gas-diffusion pathways on concentration of dissolved oxygen. However, moisture functions widely used in SOM decomposition models are often based on empirical functions rather than robust physical foundations that account for these disparate impacts of soil water. The contributions of soil water content and water potential vary from soil to soil according to the soil water characteristic (SWC), which in turn is strongly dependent on soil texture and structure. The overall goal of this study is to introduce a physically based modeling framework of aerobic microbial respiration that incorporates the role of SWC under arbitrary soil moisture status. The model was tested by comparing it with published datasets of SOM decomposition under laboratory conditions.


2019 ◽  
Vol 223 (3) ◽  
pp. 1328-1339 ◽  
Author(s):  
Gesche Blume‐Werry ◽  
Ann Milbau ◽  
Laurenz M. Teuber ◽  
Margareta Johansson ◽  
Ellen Dorrepaal

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chawarat Rotejanaprasert ◽  
Andrew B. Lawson ◽  
Sopon Iamsirithaworn

Abstract Background New emerging diseases are public health concerns in which policy makers have to make decisions in the presence of enormous uncertainty. This is an important challenge in terms of emergency preparation requiring the operation of effective surveillance systems. A key concept to investigate the dynamic of infectious diseases is the basic reproduction number. However it is difficult to be applicable in real situations due to the underlying theoretical assumptions. Methods In this paper we propose a robust and flexible methodology for estimating disease strength varying in space and time using an alternative measure of disease transmission within the hierarchical modeling framework. The proposed measure is also extended to allow for incorporating knowledge from related diseases to enhance performance of surveillance system. Results A simulation was conducted to examine robustness of the proposed methodology and the simulation results demonstrate that the proposed method allows robust estimation of the disease strength across simulation scenarios. A real data example is provided of an integrative application of Dengue and Zika surveillance in Thailand. The real data example also shows that combining both diseases in an integrated analysis essentially decreases variability of model fitting. Conclusions The proposed methodology is robust in several simulated scenarios of spatiotemporal transmission force with computing flexibility and practical benefits. This development has potential for broad applicability as an alternative tool for integrated surveillance of emerging diseases such as Zika.


Diversity ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 456
Author(s):  
Lacy D. Chick ◽  
Jean-Philippe Lessard ◽  
Robert R. Dunn ◽  
Nathan J. Sanders

A fundamental tenet of biogeography is that abiotic and biotic factors interact to shape the distributions of species and the organization of communities, with interactions being more important in benign environments, and environmental filtering more important in stressful environments. This pattern is often inferred using large databases or phylogenetic signal, but physiological mechanisms underlying such patterns are rarely examined. We focused on 18 ant species at 29 sites along an extensive elevational gradient, coupling experimental data on critical thermal limits, null model analyses, and observational data of density and abundance to elucidate factors governing species’ elevational range limits. Thermal tolerance data showed that environmental conditions were likely to be more important in colder, more stressful environments, where physiology was the most important constraint on the distribution and density of ant species. Conversely, the evidence for species interactions was strongest in warmer, more benign conditions, as indicated by our observational data and null model analyses. Our results provide a strong test that biotic interactions drive the distributions and density of species in warm climates, but that environmental filtering predominates at colder, high-elevation sites. Such a pattern suggests that the responses of species to climate change are likely to be context-dependent and more specifically, geographically-dependent.


2020 ◽  
Vol 144 ◽  
pp. 107787 ◽  
Author(s):  
Yanghui He ◽  
Weixin Cheng ◽  
Lingyan Zhou ◽  
Junjiong Shao ◽  
Huiying Liu ◽  
...  

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