Non-genetic phenotypic variability affects populations and communities in protist microcosms
- PMID: 38192091
- DOI: 10.1111/1365-2656.14036
Non-genetic phenotypic variability affects populations and communities in protist microcosms
Abstract
Intraspecific trait variation (ITV), potentially driven by genetic and non-genetic mechanisms, can underlie variability in resource acquisition, individual fitness and ecological interactions. Impacts of ITV at higher levels of biological organizations are hence likely, but up-scaling our knowledge about ITV importance to communities and comparing its relative effects at population and community levels has rarely been investigated. Here, we tested the effects of genetic and non-genetic ITV on morphological traits in microcosms of protist communities by contrasting the effects of strains showing different ITV levels (i.e. trait averages and variance) on population growth, community composition and biomass production. We found that genetic and non-genetic ITV can lead to different effects on populations and communities across several generations. Furthermore, the effects of ITV declined across levels of biological organization: ITV directly altered population performance, with cascading but indirect consequences for community composition and biomass productivity. Overall, these results show that the drivers of ITV can have distinct effects on populations and communities, with cascading impacts on higher levels of biological organization that might mediate biodiversity-ecosystem functioning relationships.
Keywords: Tetrahymena; community structure; ecosystem functioning; functional traits; intraspecific diversity; population.
© 2024 The Authors. Journal of Animal Ecology © 2024 British Ecological Society.
References
REFERENCES
-
- Bailey, J. K., Schweitzer, J. A., Ubeda, F., Koricheva, J., LeRoy, C. J., Madritch, M. D., Rehill, B. J., Bangert, R. K., Fischer, D. G., Allan, G. J., & Whitham, T. G. (2009). From genes to ecosystems: A synthesis of the effects of plant genetic factors across levels of organization. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1523), 1607-1616. https://doi.org/10.1098/rstb.2008.0336
-
- Barbour, M. A., Erlandson, S., Peay, K., Locke, B., Jules, E. S., & Crutsinger, G. M. (2019). Trait plasticity is more important than genetic variation in determining species richness of associated communities. Journal of Ecology, 107(1), 350-360. https://doi.org/10.1111/1365-2745.13014
-
- Barbour, M. A., & Gibert, J. P. (2021). Genetic and plastic rewiring of food webs under climate change. Journal of Animal Ecology, 90(8), 1814-1830. https://doi.org/10.1111/1365-2656.13541
-
- Bassar, R. D., Marshall, M. C., Lopez-Sepulcre, A., Zandona, E., Auer, S. K., Travis, J., Pringle, C. M., Flecker, A. S., Thomas, S. A., Fraser, D. F., & Reznick, D. N. (2010). Local adaptation in Trinidadian guppies alters ecosystem processes. Proceedings of the National Academy of Sciences of the United States of America, 107(8), 3616-3621. https://doi.org/10.1073/pnas.0908023107
-
- Bestion, E., García-Carreras, B., Schaum, C.-E., Pawar, S., & Yvon-Durocher, G. (2018). Metabolic traits predict the effects of warming on phytoplankton competition. Ecology Letters, 21(5), 655-664. https://doi.org/10.1111/ele.12932
Publication types
MeSH terms
Associated data
Grants and funding
LinkOut - more resources
Full Text Sources
