Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition
Discovering widespread microbial processes that drive unexpected variation in carbon cycling may improve modeling and management of soil carbon (Prescott, 2010; Wieder et al., 2015a, 2018). A first step is to identify community features linked to carbon cycle variation. We addressed this challenge u...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-11-01
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| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2020.542220/full |
| _version_ | 1811294267841183744 |
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| author | Michaeline B. N. Albright Renee Johansen Jaron Thompson Deanna Lopez La V. Gallegos-Graves Marie E. Kroeger Andreas Runde Rebecca C. Mueller Alex Washburne Brian Munsky Brian Munsky Thomas Yoshida John Dunbar |
| author_facet | Michaeline B. N. Albright Renee Johansen Jaron Thompson Deanna Lopez La V. Gallegos-Graves Marie E. Kroeger Andreas Runde Rebecca C. Mueller Alex Washburne Brian Munsky Brian Munsky Thomas Yoshida John Dunbar |
| author_sort | Michaeline B. N. Albright |
| collection | DOAJ |
| description | Discovering widespread microbial processes that drive unexpected variation in carbon cycling may improve modeling and management of soil carbon (Prescott, 2010; Wieder et al., 2015a, 2018). A first step is to identify community features linked to carbon cycle variation. We addressed this challenge using an epidemiological approach with 206 soil communities decomposing Ponderosa pine litter in 618 microcosms. Carbon flow from litter decomposition was measured over a 6-week incubation. Cumulative CO2 from microbial respiration varied two-fold among microcosms and dissolved organic carbon (DOC) from litter decomposition varied five-fold, demonstrating large functional variation despite constant environmental conditions where strong selection is expected. To investigate microbial features driving DOC concentration, two microbial community cohorts were delineated as “high” and “low” DOC. For each cohort, communities from the original soils and from the final microcosm communities after the 6-week incubation with litter were taxonomically profiled. A logistic model including total biomass, fungal richness, and bacterial richness measured in the original soils or in the final microcosm communities predicted the DOC cohort with 72 (P < 0.05) and 80 (P < 0.001) percent accuracy, respectively. The strongest predictors of the DOC cohort were biomass and either fungal richness (in the original soils) or bacterial richness (in the final microcosm communities). Successful forecasting of functional patterns after lengthy community succession in a new environment reveals strong historical contingencies. Forecasting future community function is a key advance beyond correlation of functional variance with end-state community features. The importance of taxon richness—the same feature linked to carbon fate in gut microbiome studies—underscores the need for increased understanding of biotic mechanisms that can shape richness in microbial communities independent of physicochemical conditions. |
| first_indexed | 2024-04-13T05:15:03Z |
| format | Article |
| id | doaj.art-c0bf3305fa3e492a9dd6717c65108a53 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-13T05:15:03Z |
| publishDate | 2020-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-c0bf3305fa3e492a9dd6717c65108a532022-12-22T03:00:55ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2020-11-011110.3389/fmicb.2020.542220542220Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter DecompositionMichaeline B. N. Albright0Renee Johansen1Jaron Thompson2Deanna Lopez3La V. Gallegos-Graves4Marie E. Kroeger5Andreas Runde6Rebecca C. Mueller7Alex Washburne8Brian Munsky9Brian Munsky10Thomas Yoshida11John Dunbar12Biosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, United StatesDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United StatesSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO, United StatesChemical Diagnostics and Engineering, Los Alamos National Laboratory, Los Alamos, NM, United StatesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United StatesDiscovering widespread microbial processes that drive unexpected variation in carbon cycling may improve modeling and management of soil carbon (Prescott, 2010; Wieder et al., 2015a, 2018). A first step is to identify community features linked to carbon cycle variation. We addressed this challenge using an epidemiological approach with 206 soil communities decomposing Ponderosa pine litter in 618 microcosms. Carbon flow from litter decomposition was measured over a 6-week incubation. Cumulative CO2 from microbial respiration varied two-fold among microcosms and dissolved organic carbon (DOC) from litter decomposition varied five-fold, demonstrating large functional variation despite constant environmental conditions where strong selection is expected. To investigate microbial features driving DOC concentration, two microbial community cohorts were delineated as “high” and “low” DOC. For each cohort, communities from the original soils and from the final microcosm communities after the 6-week incubation with litter were taxonomically profiled. A logistic model including total biomass, fungal richness, and bacterial richness measured in the original soils or in the final microcosm communities predicted the DOC cohort with 72 (P < 0.05) and 80 (P < 0.001) percent accuracy, respectively. The strongest predictors of the DOC cohort were biomass and either fungal richness (in the original soils) or bacterial richness (in the final microcosm communities). Successful forecasting of functional patterns after lengthy community succession in a new environment reveals strong historical contingencies. Forecasting future community function is a key advance beyond correlation of functional variance with end-state community features. The importance of taxon richness—the same feature linked to carbon fate in gut microbiome studies—underscores the need for increased understanding of biotic mechanisms that can shape richness in microbial communities independent of physicochemical conditions.https://www.frontiersin.org/articles/10.3389/fmicb.2020.542220/fullsoil carbon cyclingmicrobiomemodelingpredictioncommunity featureslitter |
| spellingShingle | Michaeline B. N. Albright Renee Johansen Jaron Thompson Deanna Lopez La V. Gallegos-Graves Marie E. Kroeger Andreas Runde Rebecca C. Mueller Alex Washburne Brian Munsky Brian Munsky Thomas Yoshida John Dunbar Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition Frontiers in Microbiology soil carbon cycling microbiome modeling prediction community features litter |
| title | Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition |
| title_full | Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition |
| title_fullStr | Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition |
| title_full_unstemmed | Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition |
| title_short | Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition |
| title_sort | soil bacterial and fungal richness forecast patterns of early pine litter decomposition |
| topic | soil carbon cycling microbiome modeling prediction community features litter |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2020.542220/full |
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