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      Contrasting geochemical and fungal controls on decomposition of lignin and soil carbon at continental scale

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          Abstract

          Lignin is an abundant and complex plant polymer that may limit litter decomposition, yet lignin is sometimes a minor constituent of soil organic carbon (SOC). Accounting for diversity in soil characteristics might reconcile this apparent contradiction. Tracking decomposition of a lignin/litter mixture and SOC across different North American mineral soils using lab and field incubations, here we show that cumulative lignin decomposition varies 18-fold among soils and is strongly correlated with bulk litter decomposition, but not SOC decomposition. Climate legacy predicts decomposition in the lab, and impacts of nitrogen availability are minor compared with geochemical and microbial properties. Lignin decomposition increases with some metals and fungal taxa, whereas SOC decomposition decreases with metals and is weakly related with fungi. Decoupling of lignin and SOC decomposition and their contrasting biogeochemical drivers indicate that lignin is not necessarily a bottleneck for SOC decomposition and can explain variable contributions of lignin to SOC among ecosystems.

          Abstract

          Lignin’s contribution to soil organic carbon (SOC) is contentious. The authors find a decoupling of lignin and SOC decomposition and their contrasting relationships with geochemical and microbial factors, addressing a long-standing controversy.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates plant litter decomposition with soil organic matter stabilization: do labile plant inputs form stable soil organic matter?

              The decomposition and transformation of above- and below-ground plant detritus (litter) is the main process by which soil organic matter (SOM) is formed. Yet, research on litter decay and SOM formation has been largely uncoupled, failing to provide an effective nexus between these two fundamental processes for carbon (C) and nitrogen (N) cycling and storage. We present the current understanding of the importance of microbial substrate use efficiency and C and N allocation in controlling the proportion of plant-derived C and N that is incorporated into SOM, and of soil matrix interactions in controlling SOM stabilization. We synthesize this understanding into the Microbial Efficiency-Matrix Stabilization (MEMS) framework. This framework leads to the hypothesis that labile plant constituents are the dominant source of microbial products, relative to input rates, because they are utilized more efficiently by microbes. These microbial products of decomposition would thus become the main precursors of stable SOM by promoting aggregation and through strong chemical bonding to the mineral soil matrix. © 2012 Blackwell Publishing Ltd.
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                Author and article information

                Contributors
                yuwingjane@gmail.com
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                19 April 2023
                19 April 2023
                2023
                : 14
                : 2227
                Affiliations
                [1 ]GRID grid.34421.30, ISNI 0000 0004 1936 7312, Department of Ecology, Evolution, and Organismal Biology, , Iowa State University, ; Ames, IA USA
                [2 ]GRID grid.34421.30, ISNI 0000 0004 1936 7312, Department of Agricultural and Biosystems Engineering, , Iowa State University, ; Ames, IA USA
                [3 ]GRID grid.497405.b, ISNI 0000 0001 2188 1781, U.S. Forest Products Laboratory, ; Madison, WI USA
                [4 ]GRID grid.28803.31, ISNI 0000 0001 0701 8607, Department of Bacteriology, , University of Wisconsin, ; Madison, WI USA
                [5 ]GRID grid.28803.31, ISNI 0000 0001 0701 8607, Great Lakes Bioenergy Research Center, , University of Wisconsin, ; Madison, WI USA
                [6 ]GRID grid.422235.0, ISNI 0000 0004 6483 1479, National Ecological Observatory Network, Battelle, ; Boulder, CO USA
                Author information
                http://orcid.org/0000-0003-1038-1591
                http://orcid.org/0000-0002-4274-6009
                http://orcid.org/0000-0002-8674-4400
                http://orcid.org/0000-0002-2935-5847
                http://orcid.org/0000-0002-1526-0513
                http://orcid.org/0000-0003-4789-5086
                http://orcid.org/0000-0002-7841-2019
                Article
                37862
                10.1038/s41467-023-37862-6
                10115774
                37076534
                545bf6e0-0a85-4122-97ed-f04deb3e69b4
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 September 2022
                : 3 April 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: 1802745
                Award Recipient :
                Funded by: Office of Biological and Environmental Research of the U.S Department of Energy Great Lakes Bioenergy Research DE-FC02-07ER64494, DE-SC0012742
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                carbon cycle,ecosystem ecology,microbial ecology,stable isotope analysis
                Uncategorized
                carbon cycle, ecosystem ecology, microbial ecology, stable isotope analysis

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