Published January 23, 2025 | Version v3
Dataset Open

Data for manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry

Description

Support manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry. 

Dataset includes 1)  model and analysis, and 2)  supplemental data. 

In the "model_analysis" file, we include the ecosys model source code, the modeling runs, and the modeling results. The detailed introduction is in README.md file.   

Acknowledgments

We thank the EMERGE Biology Integration Institute Coordinators (members listed in Supplementary Information) for project guidance and management. This research is a contribution of the EMERGE Biology Integration Institute, funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070 (V.I.R., R.K.V., S.R.S., M.B.S., E.L.B., and the EMERGE Coordinators). Additional support for individual contributors included the following. Z.L. was additionally supported by Lawrence Livermore National Laboratory under the auspices of the U.S. Department of Energy under contract DE-AC52-07NA27344. W.J.R. was supported by the Belowground Biogeochemistry Scientific Focus Area and U.K. was supported by the Watershed Function Science Area, both funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-AC02-05CH11231. G.L.M. was supported by the LLNL "Microbes Persist" Soil Microbiome Scientific Focus Area SCW1632 and an associated KBase award SCW1746. N.J.B. was supported by the US Department of Energy, Office of Science (BER), Early Career Research Program (#FP00005182). B.J.W. was supported by an Australian Research Council Future Fellowship (#FT210100521). J.T. was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory. 

We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council’s grant 4.3-2021-00164. This research used resources of the National Energy Research Scientific Computing Center (NERSC) which is a U.S. Department of Energy Office of Science user facility. This research used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory (Supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231). 

Full list of the EMERGE Biology Integration Institute Coordinators and Affiliations

Eoin L. Brodie1,2, Sarah C. Bagby3, Jeffrey P. Chanton4, Jessica G. Ernakovich5, Regis Ferriere6,7, Suzanne B. Hodgkins8, William J. Riley1, Virginia I. Rich8,9, Scott R. Saleska6, Matthew B. Sullivan8,9,10, Ruth K. Varner11, Gene W. Tyson12, Malak M. Tfaily13, Ahmed A. Zayed8,9
 1Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory; Berkeley, CA 94720, USA.
2Department of Environmental Science, Policy and Management, University of California; Berkeley, CA 94720, USA.
3Department of Biology, Case Western Reserve University; Cleveland, OH, USA, 44106
4Earth Ocean and Atmospheric Sciences, Florida State University; Tallahassee, FL, USA
5Department of Natural Resources and the Environment, University of New Hampshire;
Durham, NH, USA 03824
6Department of Ecology and Evolutionary Biology, University of Arizona; Tucson, AZ,
85721, USA
7Institut de Biologie de l’ENS, Université Paris Sciences & Lettres; Paris, 75005, France
8Department of Microbiology, The Ohio State University; Columbus, OH, USA, 43210
9Center of Microbiome Science, The Ohio State University; Columbus, Ohio 43210, USA.
10Department of Civil, Environmental and Geodetic engineering, The Ohio State University; Columbus, Ohio 43210, USA.
11Department of Earth Sciences and Institute for the Study of Earth, Oceans and Space, University of New Hampshire; Durham, NH 03824, USA.
12Centre for Microbiome Research, School of Biomedical Sciences, Queensland University
of Technology (QUT), Translational Research Institute; Woolloongabba, QLD, Australia
13Department of Environmental Science, University of Arizona; Tucson, AZ, 85721, USA

Files

Model_analysis.zip

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Additional details

Funding

U.S. National Science Foundation
BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration 2022070

Software

Programming language
Fortran