Composition and metabolism of microbial communities in soil pores

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: April 27, 2024

Abstract Delineation of microbial habitats within the soil matrix and characterization their environments metabolic processes are crucial to understand functioning, yet experimental identification remains persistently limited. We combined single- triple-energy X-ray computed microtomography with pore specific allocation 13 C labeled glucose subsequent stable isotope probing demonstrate how long-term disparities in vegetation history modify spatial distribution patterns particulate organic matter drivers habitats, probe bacterial communities populating such habitats. Here we show striking differences between large (30-150 µm Ø) small (4-10 pores (i) diversity, composition, life-strategies, (ii) responses added substrate, (iii) pathways, (iv) processing fate labile C. propose a habitat classification concept based on biogeochemical mechanisms localization also suggests interventions mitigate environmental consequences agricultural management.

Language: Английский

---

Experimental warming accelerates positive soil priming in a temperate grassland ecosystem

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Feb. 8, 2024

Abstract Unravelling biosphere feedback mechanisms is crucial for predicting the impacts of global warming. Soil priming, an effect fresh plant-derived carbon (C) on native soil organic (SOC) decomposition, a key mechanism that could release large amounts C into atmosphere. However, climate warming priming remain elusive. Here, we show experimental accelerates by 12.7% in temperate grassland. Warming alters bacterial communities, with 38% unique active phylotypes detected under The functional genes essential decomposition are also stimulated, which be linked to effects. We incorporate lab-derived information ecosystem model showing parameter uncertainty can reduced 32–37%. Model simulations from 2010 2016 indicate increase warming, 9.1% rise priming-induced CO 2 emissions. If our findings generalized other ecosystems over extended period time, play important role terrestrial cycle feedbacks and change.

Language: Английский

---

Predictions of rhizosphere microbiome dynamics with a genome-informed and trait-based energy budget model

Nature Microbiology, Journal Year: 2024, Volume and Issue: 9(2), P. 421 - 433

Published: Feb. 5, 2024

Abstract Soil microbiomes are highly diverse, and to improve their representation in biogeochemical models, microbial genome data can be leveraged infer key functional traits. By integrating genome-inferred traits into a theory-based hierarchical framework, emergent behaviour arising from interactions of individual predicted. Here we combine theory-driven predictions substrate uptake kinetics with genome-informed trait-based dynamic energy budget model predict life-history trade-offs soil bacteria. When applied plant microbiome system, the accurately predicted distinct substrate-acquisition strategies that aligned observations, uncovering resource-dependent between growth rate efficiency. For instance, inherently slower-growing microorganisms, favoured by organic acid exudation at later stages, exhibited enhanced carbon use efficiency (yield) without sacrificing (power). This insight has implications for retaining root-derived soils highlights power data-driven, approaches improving models.

Language: Английский

---

Modelling optimal ligninolytic activity during plant litter decomposition

New Phytologist, Journal Year: 2024, Volume and Issue: 243(3), P. 866 - 880

Published: Feb. 11, 2024

Summary A large fraction of plant litter comprises recalcitrant aromatic compounds (lignin and other phenolics). Quantifying the fate is difficult, because oxidative degradation carbon (C) a costly but necessary endeavor for microorganisms, we do not know when gains from decomposition C outweigh energetic costs. To evaluate these tradeoffs, developed model in which rate optimized dynamically to maximize microbial growth given costs maintaining ligninolytic activity. We tested performance against > 200 datasets collected published literature assessed effects climate chemistry on decomposition. The predicted time‐varying oxidation rate, was used calculate lag time before initiated. Warmer conditions increased rates, shortened oxidation, improved C‐use efficiency by decreasing oxidation. Moreover, higher initial content promoted an earlier start under any climate. With this contribution, highlight application eco‐evolutionary approaches based life strategies as alternative parametrization scheme models.

Language: Английский

---

Thermodynamic control on the decomposition of organic matter across different electron acceptors

Soil Biology and Biochemistry, Journal Year: 2024, Volume and Issue: 193, P. 109364 - 109364

Published: March 12, 2024

Language: Английский

---

Depth dependence of soil organic carbon additional storage capacity in different soil types by the 2050 target for carbon neutrality

SOIL, Journal Year: 2025, Volume and Issue: 11(1), P. 149 - 174

Published: Feb. 5, 2025

Abstract. Land planning projects aiming to maximize soil organic carbon (SOC) stocks are increasing in number and scope, often line with the objective reach neutrality by 2050. In response, a rising of studies assesses where additional SOC could be stored over regional global spatial scales. order provide realistic values transferrable beyond scientific community, providing targets accrual should consider timescales needed them, taking into consideration effects C inputs, type, depth on dynamics. This research was conducted 320 km2 territory north-eastern France, eight contrasted types have been identified, characterized, mapped thanks high density fully described profiles. Continuous profiles were interpolated for each type land use (cropland, grassland, or forest). We defined potential using percentile boundary lines used linear model depth-dependent dynamics explore inputs necessary those within 25 years. also from literature input scenarios provided maps stocks, maximum accrual, highly heterogenous region study. Median range 78–333 tC ha−1. Maximum varies 19 ha−1 forested Leptosols 197 grassland Gleysols. The simulated years whole study one-fifth accrual. Further different is therefore storage relevant public policies approach

Language: Английский

---

Microbial carbon use efficiency of mineral-associated organic matter is related to its desorbability

Soil Biology and Biochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 109740 - 109740

Published: Feb. 1, 2025

Language: Английский

---

Variability of the Content and Stock of Soil Organic Matter in Time and Space: An Analytical Review

Eurasian Soil Science, Journal Year: 2023, Volume and Issue: 56(12), P. 1819 - 1844

Published: Dec. 1, 2023

Language: Английский

---

How to adequately represent biological processes in modeling multifunctionality of arable soils

Biology and Fertility of Soils, Journal Year: 2024, Volume and Issue: 60(3), P. 263 - 306

Published: March 11, 2024

Abstract Essential soil functions such as plant productivity, C storage, nutrient cycling and the storage purification of water all depend on biological processes. Given this insight, it is remarkable that in modeling these functions, various actors usually do not play an explicit role. In review perspective paper we analyze state art how processes could more adequately be accounted for. We for six different biologically driven clusters are key understanding namely i) turnover organic matter, ii) N cycling, iii) P dynamics, iv) biodegradation contaminants v) disease control vi) structure formation. A major conclusion development models to predict changes at scale profiles (i.e. pedons) should better rooted underlying known a large extent. This prerequisite arrive predictive urgently need under current conditions Global Change.

Language: Английский

---

Does microbial carbon use efficiency differ between particulate and mineral‐associated organic matter?

Functional Ecology, Journal Year: 2024, Volume and Issue: 38(7), P. 1510 - 1522

Published: April 29, 2024

Abstract Microbial carbon use efficiency (CUE), a key parameter to characterize microbial conversion efficiency, is assumed be similar in soil models for different functional pools with varied organic matter composition and nutrient availability, that is, particulate (POM) mineral‐associated (MAOM). However, empirical studies comparing CUE POM versus MAOM are largely lacking. It not known whether variance may underpin the variant behaviour (i.e. turnover composition) of pools. Here we collected surface soils from 25 natural forests grasslands divergent edaphic properties, compared their using fractionation combination incubation 18 O‐labelled water. We also quantified composition, community structures stoichiometric imbalance nitrogen (N) phosphorus (P) relative based on dissolved pool biomass (Im N Im P ) investigate variables regulating its variation (CUE /CUE ). In contrast our expectation, did consistently differ between across sites, albeit large inter‐sample variations (from 0.3 4.4). Although had higher substrate quality, indicated by lower ratios total (C/N OM N‐compounds/aromatic ratios, proportions r‐strategists fast‐growing bacteria than POM, degrees limitation ), which was best predictor all samples. Therefore, although harboured more N‐containing compounds necessarily lower, leading an overall MAOM. Nevertheless, decreased increasing Overall, paper presents comprehensive, study diverse soils, results support models, but highlight potential contrasts under strong limitation. Such inferences deserve attention potentially induced deposition. This advances mechanistic understanding ecological patterns processes organismic ecosystem scale physiology Read free Plain Language Summary this article Journal blog.

Language: Английский

---