1
|
Carreira C, Lønborg C, Acharya B, Aryal L, Buivydaite Z, Borim Corrêa F, Chen T, Lorenzen Elberg C, Emerson JB, Hillary L, Khadka RB, Langlois V, Mason-Jones K, Netherway T, Sutela S, Trubl G, Wa Kang'eri A, Wang R, White RA, Winding A, Zhao T, Sapkota R. Integrating viruses into soil food web biogeochemistry. Nat Microbiol 2024:10.1038/s41564-024-01767-x. [PMID: 39095499 DOI: 10.1038/s41564-024-01767-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/19/2024] [Indexed: 08/04/2024]
Abstract
The soil microbiome is recognized as an essential component of healthy soils. Viruses are also diverse and abundant in soils, but their roles in soil systems remain unclear. Here we argue for the consideration of viruses in soil microbial food webs and describe the impact of viruses on soil biogeochemistry. The soil food web is an intricate series of trophic levels that span from autotrophic microorganisms to plants and animals. Each soil system encompasses contrasting and dynamic physicochemical conditions, with labyrinthine habitats composed of particles. Conditions are prone to shifts in space and time, and this variability can obstruct or facilitate interactions of microorganisms and viruses. Because viruses can infect all domains of life, they must be considered as key regulators of soil food web dynamics and biogeochemical cycling. We highlight future research avenues that will enable a more robust understanding of the roles of viruses in soil function and health.
Collapse
Affiliation(s)
- Cátia Carreira
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.
- Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Aveiro, Portugal.
| | | | - Basistha Acharya
- Directorate of Agricultural Research, Nepal Agricultural Research Council, Khajura, Nepal
| | - Laxman Aryal
- Nepal Agricultural Research Council, National Wheat Research Program, Bhairahawa, Nepal
| | - Zivile Buivydaite
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Felipe Borim Corrêa
- Department of Applied Microbial Ecology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany
| | - Tingting Chen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Department of Ecology, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | | | - Joanne B Emerson
- Department of Plant Pathology, University of California, Davis, Davis, CA, USA
| | - Luke Hillary
- Department of Plant Pathology, University of California, Davis, Davis, CA, USA
| | - Ram B Khadka
- National Plant Pathology Research Center, Nepal Agricultural Research Council, Lalitpur, Nepal
| | - Valérie Langlois
- Département de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec City, Québec, Canada
| | - Kyle Mason-Jones
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands
| | - Tarquin Netherway
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Suvi Sutela
- Natural Resources Institute Finland, Helsinki, Finland
| | - Gareth Trubl
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | | | - Ruiqi Wang
- Department of Environmental Biology, Institute of Environmental Sciences, Leiden University, Leiden, the Netherlands
| | - Richard Allen White
- Computational Intelligence to Predict Health and Environmental Risks, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
- North Carolina Research Campus, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Anne Winding
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Tianci Zhao
- Microbial Ecology Cluster, Genomics Research in Ecology and Evolution in Nature, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands
| | - Rumakanta Sapkota
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| |
Collapse
|
2
|
Abstract
This paper addresses the problem of extinction in continuous models of population dynamics associated with small numbers of individuals. We begin with an extended discussion of extinction in the particular case of a stochastic logistic model, and how it relates to the corresponding continuous model. Two examples of ‘small number dynamics’ are then considered. The first is what Mollison calls the ‘atto-fox’ problem (in a model of fox rabies), referring to the problematic theoretical occurrence of a predicted rabid fox density of \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$10^{-18}$$\end{document}10-18 (atto-) per square kilometre. The second is how the production of large numbers of eggs by an individual can reliably lead to the eventual survival of a handful of adults, as it would seem that extinction then becomes a likely possibility. We describe the occurrence of the atto-fox problem in other contexts, such as the microbial ‘yocto-cell’ problem, and we suggest that the modelling resolution is to allow for the existence of a reservoir for the extinctively challenged individuals. This is functionally similar to the concept of a ‘refuge’ in predator–prey systems and represents a state for the individuals in which they are immune from destruction. For what I call the ‘frogspawn’ problem, where only a few individuals survive to adulthood from a large number of eggs, we provide a simple explanation based on a Holling type 3 response and elaborate it by means of a suitable nonlinear age-structured model.
Collapse
Affiliation(s)
- A C Fowler
- MACSI, University of Limerick, Limerick, Ireland.
- OCIAM, University of Oxford, Oxford, UK.
| |
Collapse
|
3
|
Blath J, Hermann F, Slowik M. A branching process model for dormancy and seed banks in randomly fluctuating environments. J Math Biol 2021; 83:17. [PMID: 34279717 PMCID: PMC8289800 DOI: 10.1007/s00285-021-01639-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 06/17/2021] [Accepted: 06/27/2021] [Indexed: 11/25/2022]
Abstract
The goal of this article is to contribute towards the conceptual and quantitative understanding of the evolutionary benefits for (microbial) populations to maintain a seed bank consisting of dormant individuals when facing fluctuating environmental conditions. To this end, we discuss a class of '2-type' branching processes describing populations of individuals that may switch between 'active' and 'dormant' states in a random environment oscillating between a 'healthy' and a 'harsh' state. We incorporate different switching strategies and suggest a method of 'fair comparison' to incorporate potentially varying reproductive costs. We then use this concept to compare the fitness of the different strategies in terms of maximal Lyapunov exponents. This gives rise to a 'fitness map' depicting the environmental regimes where certain switching strategies are uniquely supercritical.
Collapse
Affiliation(s)
- Jochen Blath
- Present Address: Institute of Mathematics, Technische Universität Berlin, Strasse des 17. Juni 136, 10623 Berlin, Germany
| | - Felix Hermann
- Present Address: Institute of Mathematics, Technische Universität Berlin, Strasse des 17. Juni 136, 10623 Berlin, Germany
| | - Martin Slowik
- Present Address: Mathematical Institute, University of Mannheim, B6, 26, 68159 Mannheim, Germany
| |
Collapse
|