Defining trait-based microbial strategies with consequences for soil carbon cycling under climate change

The ISME Journal, Journal Year: 2019, Volume and Issue: 14(1), P. 1 - 9

Published: Sept. 25, 2019

Microorganisms are critical in terrestrial carbon cycling because their growth, activity and interactions with the environment largely control fate of recent plant inputs as well protected soil organic [1, 2]. Soil stocks reflect a balance between microbial decomposition stabilisation assimilated carbon. The can shift under altered environmental conditions [3], new research suggests that knowledge physiology may be for projecting changes improving prognosis climate change feedbacks [4–7]. Still, predicting ecosystem implications processes remains challenge. Here we argue this challenge met by identifying life history strategies based on an organism’s phenotypic characteristics, or traits, representing these models. What key traits change? Microbial growth survival impacted multiple determine responses to varying resource availability fluctuating abiotic [8]. Cellular maintenance activities (those do not produce growth) include production extracellular enzymes degrade acquire resources, biomolecular repair mechanisms, cellular integrity, osmotic balance, defence, antagonism, cell signalling motility [9–11]. It is conceivable investment into would generally high soils, highly heterogeneous temporally variable distribution stressful like extremes moisture, temperature, pH salinity [12, 13]. Selective pressures suboptimal could lead greater cellular-level physiological allocation relative (Fig. 1) thereby impacting processes. Open separate window Fig. 1 Schematic showing C flux includes depolymerisation, substrate uptake, assimilation, dissimilation, biomass synthesis non-growth production. Extracellular enzyme represents acquisition, stress protein linked tolerance reflects higher yield. Forked arrows signify metabolic points where hypothesised tradeoffs might occur. expected empirical relationships among also shown

Language: Английский

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Microbial functional genes involved in nitrogen fixation, nitrification and denitrification in forest ecosystems

Soil Biology and Biochemistry, Journal Year: 2014, Volume and Issue: 75, P. 11 - 25

Published: April 13, 2014

Language: Английский

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Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?

Frontiers in Microbiology, Journal Year: 2016, Volume and Issue: 7

Published: Feb. 24, 2016

Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, relationship between community structure and ecosystem processes remains poorly understood. Here, we address a fundamental unanswered question ecology: 'When do need understand accurately predict function?' We present statistical analysis investigating value of data independently combination for explaining rates carbon nitrogen cycling within 82 global datasets. Environmental variables were strongest predictors process but left 44% variation unexplained on average, suggesting potential increase model accuracy. Although only 29% datasets significantly improved by adding information structure, observed improvement models mediated narrow phylogenetic guilds via functional gene data, conversely, facultative diversity metrics. Our results also suggest that can strengthen predictions respiration beyond biomass parameters, as 53% incorporating both sets compared 35% alone. represents first comprehensive research examining links function. Taken together, indicate greater understanding communities informed ecological principles may enhance relative assessments based physiology.

Language: Английский

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Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated ‘Omics Approach

Frontiers in Microbiology, Journal Year: 2017, Volume and Issue: 8

Published: June 13, 2017

The principles governing acquisition and interspecies exchange of nutrients in microbial communities how those exchanges impact community productivity are poorly understood. Here, we examine energy macronutrient unicyanobacterial consortia for which species-resolved genome information exists all members, allowing us to use multi-omic approaches predict species' abilities acquire resources expression resource-acquisition genes during succession. Metabolic reconstruction indicated that a majority heterotrophic members lacked the required directly inorganic provided culture medium, suggesting high metabolic interdependency. sole primary producer consortium UCC-O, cyanobacterium Phormidium sp. OSCR, displayed declining harvest, carbon fixation, nitrate sulfate reduction proteins but sharply increasing phosphate transporter over 28 days. Most likewise exhibited signs phosphorus starvation Though similar their responses limitation, heterotrophs species-specific nitrogen genes. These results suggest niche partitioning around sources may structure when organisms compete limited phosphate. Such complementarity increase diversity phosphate-limited phototrophic communities.

Language: Английский

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Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed

The ISME Journal, Journal Year: 2014, Volume and Issue: 9(8), P. 1693 - 1699

Published: Dec. 23, 2014

Language: Английский

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Microbial structures and community functions of anaerobic sludge in six full-scale wastewater treatment plants as revealed by 454 high-throughput pyrosequencing

Bioresource Technology, Journal Year: 2015, Volume and Issue: 186, P. 163 - 172

Published: March 25, 2015

Language: Английский

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Soil fertility is associated with fungal and bacterial richness, whereas pH is associated with community composition in polar soil microbial communities

Soil Biology and Biochemistry, Journal Year: 2014, Volume and Issue: 78, P. 10 - 20

Published: July 11, 2014

Language: Английский

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Unraveling Core Functional Microbiota in Traditional Solid-State Fermentation by High-Throughput Amplicons and Metatranscriptomics Sequencing

Frontiers in Microbiology, Journal Year: 2017, Volume and Issue: 8

Published: July 14, 2017

Fermentation microbiota is specific microorganisms that generate different types of metabolites in many productions. In traditional solid-state fermentation, the structural composition and functional capacity core determine quality quantity products. As a typical example food Chinese Maotai-flavor liquor production involves complex various wide variety metabolites. However, microbial succession shift this fermentation remain unclear. Here, high-throughput amplicons (16S rRNA gene amplicon sequencing internal transcribed space sequencing) metatranscriptomics technologies were combined to reveal structure function soy sauce aroma type production. addition, ultra-performance liquid chromatography headspace-solid phase microextraction-gas chromatography-mass spectrometry employed provide qualitative quantitative analysis major flavor A total 10 fungal 11 bacterial genera identified as microbiota. metatranscriptomic revealed pyruvate metabolism yeasts (genera Pichia, Schizosaccharomyces, Saccharomyces, Zygosaccharomyces) lactic acid bacteria (genus Lactobacillus) classified into two stages components. Stage I involved high-level alcohol (ethanol) production, with genus Schizosaccharomyces serving microorganism. II (lactic acetic acid) Lactobacillus The from drives component conversion Our findings insight effects characteristics under environmental conditions.

Language: Английский

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Understanding how microbiomes influence the systems they inhabit

Nature Microbiology, Journal Year: 2018, Volume and Issue: 3(9), P. 977 - 982

Published: Aug. 13, 2018

Language: Английский

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Linking microbial community structure and microbial processes: an empirical and conceptual overview

FEMS Microbiology Ecology, Journal Year: 2015, Volume and Issue: 91(10), P. fiv113 - fiv113

Published: Sept. 13, 2015

A major goal of microbial ecology is to identify links between community structure and processes. Although this objective seems straightforward, there are conceptual methodological challenges designing studies that explicitly evaluate link. Here, we analyzed literature documenting process responses manipulations determine the frequency structure-process whether experimental approaches techniques influence link detection. We examined nine journals (published 2009–13) retained 148 measuring Many qualifying papers (112 148) documented responses, but few (38 112 papers) reported statistically testing for a Of these tested links, 75% were significant typically used Spearman or Pearson's correlation analysis (68%). No particular approach characterizing processes was more likely produce links. Process detected earlier on average than in both process. Together, our findings suggest publications report However, when they often occur share commonalities structures linked them.

Language: Английский

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