Adaptation to a limiting element involves mitigation of multiple elemental imbalances

About 20 elements underlie biology and thus constrain biomass production. Recent systems-level observations indicate that altered supply of one element impacts the processing of most elements encompassing an organism (i.e. ionome). Little is known about the evolutionary tendencies of ionomes as popu...

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Bibliographic Details
Published in:Journal of the Royal Society interface 2023-01, Vol.20 (198), p.20220472
Main Authors: Jeyasingh, Punidan D, Sherman, Ryan E, Prater, Clay, Pulkkinen, Katja, Ketola, Tarmo
Format: Article
Language:English
Subjects:
Adaptation, Physiological
Biomass
Iron
Life Sciences–Chemistry interface
Nitrogen
Phosphorus
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Summary:About 20 elements underlie biology and thus constrain biomass production. Recent systems-level observations indicate that altered supply of one element impacts the processing of most elements encompassing an organism (i.e. ionome). Little is known about the evolutionary tendencies of ionomes as populations adapt to distinct biogeochemical environments. We evolved the bacterium under five conditions (i.e. low carbon, nitrogen, phosphorus, iron or manganese) that limited the yield of the ancestor compared with replete medium, and measured the concentrations and use efficiency of these five, and five other elements. Both physiological responses of the ancestor, as well as evolutionary responses of descendants to experimental environments involved changes in the content and use efficiencies of the limiting element, and several others. Differences in coefficients of variation in elemental contents based on biological functions were evident, with those involved in biochemical building (C, N, P, S) varying least, followed by biochemical balance (Ca, K, Mg, Na), and biochemical catalysis (Fe, Mn). Finally, descendants evolved to mitigate elemental imbalances evident in the ancestor in response to limiting conditions. Understanding the tendencies of such ionomic responses will be useful to better forecast biological responses to geochemical changes.
ISSN:1742-5662
1742-5689
1742-5662
DOI:10.1098/rsif.2022.0472