Abstract
The largest terrestrial carbon sink on earth is soil carbon stocks. As the climate changes, the rate at which the Earth’s climate warms depends in part on the persistence of soil organic carbon. Microbial turnover forms the backbone of soil organic matter (SOM) formation and it has been recently proposed that SOM molecular complexity is a key driver of stability. Despite this, the links between microbial diversity, chemical complexity and biogeochemical nature of SOM remain missing. Here we tested the hypotheses that distinct microbial communities shape the composition of SOM, and microbial-derived SOM has distinct decomposition potential depending on its community of origin. We inoculated microbial communities of varying diversities into a model soil matrix amended with simple carbon (cellobiose) and measured the thermal stability of the resultant SOM. Using a Rock-Eval® ramped thermal analysis, we found that microbial community composition drives the chemical fingerprint of soil carbon. While diversity was not a driver of SOM composition, bacteria-only communities lead to more thermally labile soil C pools than communities with bacteria and fungi. Our results provide direct evidence for a link between microbial community structure, SOM composition, and thermal stability. This evidence demonstrates the relevance of soil microorganisms in building persistent SOM stocks.
Subject terms: Microbial ecology, Environmental microbiology
Introduction
One of the grand challenge questions in microbiology is: when and where does “who’s there” matter for ecosystem functioning [1]? It has been postulated that diversity and microbial community structure matters for phylogenetically “narrow” processes such as denitrification [2–4], but not so much for phylogenetically-“broad” processes, such as carbon (C) cycling, which are completed by the majority of community members. However, recent work brings into question the assumption that all steps of C cycling are independent of “who’s there” [5, 6]. Moreover, community composition rather than diversity can have a wider impact on C cycling in soils [5–7]. Soil microbes are diverse in their macromolecular structures and metabolites [8] and therefore microbial-derived soil organic matter (SOM) may reflect distinctions across communities. SOM by its nature is molecularly diverse, and it was recently hypothesized that more diverse SOM persists longer in soil [9]. Here we provide empirical data to support the hypothesis that distinct communities inoculated into a model soil shape the composition of SOM and that this microbial-derived SOM has distinct decomposition potential depending on its community of origin.
Results and discussion
Soil-derived microbial communities were subject to diversity removal by treatments with dilution (D0 > D1 > D2), filtering (bacteria predominantly “Bonly”), and heat (spore forming “SF”), and incubated under different moisture and temperature in order to generate distinct microbial communities in a model soil matrix [6]. In a sibling study aiming to disentangle the biotic and abiotic drivers of carbon use efficiency, we observed that the microbial community characteristics, e.g. bacterial community structure, bacterial diversity, fungi presence, and enzymatic activity influenced microbial community carbon use efficiency [6]. Here, we analyzed the formed SOM after four months of growth on cellobiose, using a method commonly used to quantify thermal stability and gradual stabilization of SOM [10]. The hydrocarbon compounds released at each temperature for each sample during the pyrolytic phase of Rock-Eval® was used to calculate the Bray–Curtis-based chemical dissimilarity of the soil samples as a proxy for soil C composition, and the and the Rock-Eval® thermal stability index (R-index) was calculated as a proxy for C persistence, as previously [10]. Bacterial or fungal diversity did not drive SOM composition. However, the resultant NMDS and analysis of similarity (ANOSIM) (R = 0.198, P < 0.0001) show that communities with distinct composition generated different SOM (Fig. 1A). The SOM fingerprint reflected the bacterial community composition (Fig. 1A, Procrustes statistics, cor = 0.2070, P = 0.0057) indicating that the bacterial community composition drove the formation of SOM composition. Moreover, the ordination first axis was strongly correlated with the Rock-Eval® R-index (ρ = −0.95, P < 0.0001) which quantifies the relative contribution of thermally stable compounds [10] (i.e., compounds that require higher activation energy for thermal-decomposition). Thus, this suggests that distinct microbial communities produced SOM with different degrees of thermal stability.
Interestingly, the fungal community composition seemed to be less important in driving the SOM signature (Procrustes statistics; cor = 0.143, P = 0.0782). However, fungal abundance was positively related to the thermal stability of SOM (Fig. 1A and cor = 0.44, t = 6.4248, df = 168, P < 0.0001), supporting the role of fungi in overall community decomposition efficiency. This result agrees with research suggesting that fungi are major drivers of C cycling in soils [11]. Thus, while fungi were crucial for substrate decomposition, the SOM formed in these soils was a reflection of its bacterial community composition. Future studies can further elucidate if fungi and bacteria might play complementary roles during the decomposition of thermally-labile compounds and formation of more persistent SOM.
We next looked in more detail at the range of temperatures that captured the variation observed within the SOM ordination axes (Fig. 1B) and the biological community characteristics that drove the differences in the fingerprint of SOM (Fig. 1C). The signal captured across the temperature range reflected different aspects of the microbial community biological characteristics. While we previously reported that bacterial community diversity showed a positive saturating relationship with carbon use efficiency in these soils [6], our new results suggest a limited impact of diversity on driving SOM composition compared to microbial community structure and other community characteristics (Fig. 1A–C). For example, communities that grew more efficiently (i.e., high CUE) at the end of the incubation were also associated with more thermally stable SOM (Fig. 1A–C). This is consistent with the theory stipulating that high growth efficiency is ultimately associated with greater soil carbon retention [12–14]. Communities depleted of fungi were characterized by low growth efficiency and low biomass in these soils, and also had some of the most thermally labile SOM (Fig. 1A). Although low biomass was a predictor of the SOM signature (Fig. 1A–C), this was not due to residual added sugar. Indeed, the patterns of lower SOM thermal stability in lower diversity communities held even when the lowest temperature, predominantly sugar-rich peak [14] was removed and the statistical analysis repeated (Supplementary material). Therefore, community composition acts independently of efficiency and biomass to drive SOM composition.
Using variance partitioning we investigated the drivers of R-index (Supplementary material). Notably, microbial activity variables explained most of the R-index variance. This suggests that microbial activity and the by-products of their metabolism, such as extracellular enzymes, drove the formation of more thermally stable SOM. This agrees with the idea that microbial processing of C contributes to the formation of more persistent SOM pools [13].
Fungi and bacteria are considered to play different roles in soil C cycling [15, 16]. Accordingly, we observed distinct extracellular enzymatic dynamics in microcosms dominated by bacteria (“Bonly”) compared to microcosms with bacteria and fungi growing concomitantly (“D0”). Bonly microcosms showed a reduced maximum enzymatic activity (Fig. 1D) (Vmax) (P < 0.0001, F = 16.43, df = 136) and Michaelis constant (Km) (P < 0.01, F = 5.195, df = 136) compared to treatments in which fungi were present, which should result in a smaller uptake of C and reduced microbial turnover of SOM [12, 15]. This could indicate that additional transformations of SOM occurred in the communities with bacteria and fungi compared to “bacteria-only” communities. These results highlight the potential loss in soil C cycling due to fungal exclusion and the relevance of fungi for soil functioning [6, 11, 15, 16]. Moreover, the bacterial communities may have benefitted from by-products of fungal growth and metabolism [16, 17]—leading to increasingly thermally stable SOM. While previous findings suggest that decomposition of fungal residues is an important regulator of C accumulation in soils [11], our results highlight the need of future studies elucidating if fungal ↔ bacterial interactions play an important role in this process.
Finally, to verify if more thermally stable SOM results in less available substrate to microorganisms, we conducted a follow-up experiment by inoculating a subset of microcosms from the first experiment with a diverse soil microbial inoculum similar to our D0 treatment and measured cumulative respiration as a proxy for potential decomposition of microbially-derived SOM. As we predicted, we observed a negative relationship between thermal stability and cumulative respiration (Fig. 1E). This suggests that more thermally stable C is less biodegradable and more likely to become part of more persistent soil–carbon stocks. Future studies should evaluate if this relationship changes under longer-time scales.
Model soils can be used to increase our understanding of major microbial ecology questions as it provides a single platform able to isolate specific components from confounding factors compared to natural soils [6, 18]. Here, by using a model soil, we show that microbial community composition and community characteristics drove the signature of the SOM and its thermal stability. Altogether, our results highlight the need for future studies investigating the role of fungal ↔ bacterial interactions for the decomposition efficiency and the formation of microbial-derived persistent SOM.
Supplementary information
Acknowledgements
The authors are particularly grateful to Dr. Grace Pold for fruitful discussions and Thierry Adatte (Institute of Earth Sciences, University of Lausanne, Switzerland) for his technical and scientific supports in Rock-Eval® analysis, a trademark registered by IFP Energies Nouvelles. This work was supported in part by an award to KMD by the Department of Energy grant DE-SC0016590.
Author contributions
LADH designed the study. LADH and MS performed the laboratory experiments. ROCK-EVAL® analysis was performed by EV and DS. LADH, MS, and DS performed the data analysis. LADH wrote the article and all authors discussed the results and contributed to write the paper.
Data availability
The data and code supporting the findings presented here are available from the corresponding author on request and from Open Science Framework Repository project: https://osf.io/evb6d/.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s43705-021-00071-7.
References
- 1.Nemergut D, Shade A, Violle C. When, where and how does microbial community composition matter? Front Microbiol. 2014;5:2012–4. doi: 10.3389/fmicb.2014.00497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jones CM, Graf DR, Bru D, Philippot L, Hallin S. The unaccounted yet abundant nitrous oxide-reducing microbial community: a potential nitrous oxide sink. ISME J. 2014;7:417–26. doi: 10.1038/ismej.2012.125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Domeignoz-Horta LA, Spor A, Bru D, Breuil MC, Bizouard F, Léonard J, et al. The diversity of the N2O reducers matters for the N2O:N2 denitrification end-product ratio across an annual and perennial cropping system. Front Microbiol. 2015;6:971. doi: 10.3389/fmicb.2015.00971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Domeignoz-Horta LA, Philippot L, Peyrard C, Bru D, Breuil M-C, Bizouard F, et al. Peaks of in situ N2O emissions are influenced by N2O-producing and reducing microbial communities across arable soils. Glob Change Biol. 2018;24:360–70. doi: 10.1111/gcb.13853. [DOI] [PubMed] [Google Scholar]
- 5.Glassman SI, Weihe C, Li J, Albright MBN, Looby CI, Martiny AC, et al. Decomposition responses to climate depend on microbial community composition. Proc Natl Acad Sci USA. 2018;115:11994–9. doi: 10.1073/pnas.1811269115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Domeignoz-Horta LA, Pold G, Liu XA, Frey SD, Melillo JM, DeAngelis KM. Microbial diversity drives carbon use efficiency in a model soil. Nat Comm. 2020;11:1–10. doi: 10.1038/s41467-020-17502-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Nielsen UN, Ayres E, Wall DH, Bardgett RD. Soil biodiversity and carbon cycling: a review and synthesis of studies examining diversity-function relationships. Eur J Soil Sci. 2011;62:105–16. doi: 10.1111/j.1365-2389.2010.01314.x. [DOI] [Google Scholar]
- 8.Pan R, Bai X, Chen J, Zhang H, Wang H. Exploring structural diversity of microbe secondary metabolites using OSMAC strategy: a literature review. Front Microbiol. 2019;10:294. doi: 10.3389/fmicb.2019.00294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lehmann J, Hansel CM, Kaiser C, Kleber M, Maher K, Maher K, et al. Persistence of soil organic carbon caused by functional complexity. Nat Geosci. 2020;13:529–34. doi: 10.1038/s41561-020-0612-3. [DOI] [Google Scholar]
- 10.Sebag D, Verrecchia EP, Cécillon L, Adatte T, Albrecht R, Aubert M, et al. Dynamics of soil organic matter based on new Rock-Eval indices. Geoderma. 2016;284:185–203. doi: 10.1016/j.geoderma.2016.08.025. [DOI] [Google Scholar]
- 11.Clemmensen KE, Bahro A, Ovaskainen O, Dahlberg A, Ekblad A, Wallander H, et al. Roots and associated fungi drive long-term carbon sequestration in boreal forest. Science. 2013;339:1615–8. doi: 10.1126/science.1231923. [DOI] [PubMed] [Google Scholar]
- 12.Sinsabaugh RL, Manzoni S, Moorhead DL, Richter A. Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling. Ecol Lett. 2013;16:930–9. doi: 10.1111/ele.12113. [DOI] [PubMed] [Google Scholar]
- 13.Geyer K, Schnecker J, Grandy AS, Richter A, Frey S. Assessing microbial residues in soil as a potential carbon sink and moderator of carbon use efficiency. Biogeochem. 2020;4:237–49. doi: 10.1007/s10533-020-00720-4. [DOI] [Google Scholar]
- 14.Sanderman, J & Grandy, AS. Ramped thermal analysis for isolating biologically meaningful soil organic matter fractions with distinct residence times. SOIL. 2020;6:131–44.
- 15.Schneider T, Keiblinger KM, Schmid E, Sterflinger-Gleixner K, Ellersdorfer G, Roschizki B, et al. Who is who in litter decomposition? Metaproteomics reveals major microbial players and their biogeochemical functions. ISME J. 2012;6:1749–62. doi: 10.1038/ismej.2012.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.De Boer W, Folman LB, Summerbell RC, Boddy L. Living in a fungal world: Impact of fungi on soil bacterial niche development. FEMS Microbiol Rev. 2005;29:795–811. doi: 10.1016/j.femsre.2004.11.005. [DOI] [PubMed] [Google Scholar]
- 17.Deveau A, Bonito G, Uehling J, Paoletti M, Becker M, Bindschedler S, et al. Bacterial-fungal interactions: Ecology, mechanisms and challenges. FEMS Microbiol Rev. 2018;42:335–52. doi: 10.1093/femsre/fuy008. [DOI] [PubMed] [Google Scholar]
- 18.Kallenbach CM, Frey SD, Grandy AS. Direct evidence for microbial-derived soil organic matter formation and its ecophysiological controls. Nat Comm. 2016;7:13630. doi: 10.1038/ncomms13630. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data and code supporting the findings presented here are available from the corresponding author on request and from Open Science Framework Repository project: https://osf.io/evb6d/.