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      Microbial trait multifunctionality drives soil organic matter formation potential

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          Abstract

          Soil microbes are a major source of organic residues that accumulate as soil organic matter, the largest terrestrial reservoir of carbon on Earth. As such, there is growing interest in determining the microbial traits that drive soil organic matter formation and stabilization; however, whether certain microbial traits consistently predict soil organic matter accumulation across different functional pools (e.g., total vs. stable soil organic matter) is unresolved. To address these uncertainties, we incubated individual species of fungi in soil organic matter-free model soils, allowing us to directly relate the physiological, morphological, and biochemical traits of fungi to their soil organic matter formation potentials. We find that the formation of different soil organic matter functional pools is associated with distinct fungal traits, and that ‘multifunctional’ species with intermediate investment across this key grouping of traits (namely, carbon use efficiency, growth rate, turnover rate, and biomass protein and phenol contents) promote soil organic matter formation, functional complexity, and stability. Our results highlight the limitations of categorical trait-based frameworks that describe binary trade-offs between microbial traits, instead emphasizing the importance of synergies among microbial traits for the formation of functionally complex soil organic matter.

          Abstract

          Soil microbes contribute to soil organic matter. Here, the authors explore how microbial traits contribute to organic matter accumulation, finding that synergies among fungal traits promote soil organic matter formation, functional complexity, and stability.

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          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            A new method for non-parametric multivariate analysis of variance

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              Rebuilding community ecology from functional traits.

              There is considerable debate about whether community ecology will ever produce general principles. We suggest here that this can be achieved but that community ecology has lost its way by focusing on pairwise species interactions independent of the environment. We assert that community ecology should return to an emphasis on four themes that are tied together by a two-step process: how the fundamental niche is governed by functional traits within the context of abiotic environmental gradients; and how the interaction between traits and fundamental niches maps onto the realized niche in the context of a biotic interaction milieu. We suggest this approach can create a more quantitative and predictive science that can more readily address issues of global change.
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                Author and article information

                Contributors
                ewhalen.cel@gmail.com
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                25 November 2024
                25 November 2024
                2024
                : 15
                : 10209
                Affiliations
                [1 ]GRID grid.167436.1, ISNI 0000 0001 2192 7145, Department of Natural Resources and the Environment, , University of New Hampshire, ; Durham, NH USA
                [2 ]GRID grid.167436.1, ISNI 0000 0001 2192 7145, Center for Soil Biogeochemistry and Microbial Ecology, , University of New Hampshire, ; Durham, NH USA
                [3 ]Department of Biology, Young Harris College, ( https://ror.org/05hn31665) Young Harris, GA USA
                Author information
                http://orcid.org/0000-0001-9269-289X
                http://orcid.org/0000-0002-5218-2745
                http://orcid.org/0000-0002-9737-9947
                http://orcid.org/0000-0002-9221-5919
                Article
                53947
                10.1038/s41467-024-53947-2
                11589708
                39587087
                abb2553c-4eb2-4024-a841-b92bac9900c0
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 13 December 2023
                : 29 October 2024
                Funding
                Funded by: U.S. Department of Agriculture National Institute of Food and Agriculture; funding provided through the New Hampshire Agricultural Experiment Station (NHAES)
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                carbon cycle,microbial ecology
                Uncategorized
                carbon cycle, microbial ecology

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