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Trait-based patterns of microbial dynamics in dormancy potential and heterotrophic strategy: case studies of resource-based and post-press succession

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Trait-based patterns of microbial dynamics in dormancy potential and heterotrophic strategy: case studies of resource-based and post-press succession https://t.co/ClxbCo5MrE
265 days ago
Check out my and @ashley17061 new preprint for a little bit about succession and dormancy. @PeerJPreprints https://t.co/BnDsphMDeH
265 days ago
Trait-based patterns of microbial dynamics in dormancy potential and heterotrophic strategy: case studies of resource-based and post-press succession https://t.co/R5BsMb0DQ1
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Supplemental Information

Supporting information for: Trait-based patterns of microbial succession in dormancy potential and heterotrophic strategy: case studies of resource-based and post-press succession

This document includes supporting methods, supporting Figures S1-S3 and supporting Table 1.

DOI: 10.7287/peerj.preprints.3498v1/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Patrick J Kearns performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Ashley Shade conceived and designed the experiments, performed the experiments, wrote the paper, reviewed drafts of the paper.

DNA Deposition

The following information was supplied regarding the deposition of DNA sequences:

The metagenomes are publicly available through IMG/GOLD, GOLD study ID Gs0114513 and are available at the link: https://gold.jgi.doe.gov/studies?id=Gs0114513

Data Deposition

The following information was supplied regarding data availability:

We have made our analysis code available on GitHub:

https://github.com/ShadeLab/Centralia_operons_dormancy

Funding

This study was supported by Michigan State University, the Michigan State Plant Resilience Institute, the US Department of Energy Joint Genome Institute’s Community Science Project #1834, and the Michigan State University computational resources provided by the Institute for Cyber-Enabled Research. The work conducted by the U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, is supported under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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