Ecological resource competition as a driver of metallome evolution
Sobol, M.; Rucker, H.; Libby, E.; Kacar, B.; Anbar, A. D.
Show abstract
The oldest nitrogenase isozyme, emerging a billion years or more before the Great Oxidation Event (GOE), required a molybdenum (Mo)-based cofactor. "Alternative" nitrogenases using iron (Fe) or vanadium (V) cofactors evolved only after the GOE. This history is puzzling because environmental Fe availability decreased after the GOE, while Mo availability increased, due to the contrasting environmental redox behaviors of these elements. Why, then, did the alternatives emerge only after the GOE? Using a model constrained by known microbial Mo quotas, we demonstrate that a strong selection pressure for the use of metals in nitrogenase other than Mo is a plausible consequence of competition between nitrogen-fixing prokaryotes and nitrate-reducing microbes, which require Mo for nitrate reduction and assimilation. This competition would have intensified after the GOE due to increasing availability of nitrate, explaining the evolutionary timing of nitrogenases isozymes. Ecological resource competition therefore emerges as a third driver of metallome evolution in deep-time, alongside the relative environmental availabilities and adaptive advantages of particular metals.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prochlorococcus exudate stimulates heterotrophic bacterial competition with rival phytoplankton for available nitrogen 94%
- Selection for reducing energy cost of protein production drives the GC content and amino acid composition bias in gene transfer agents 94%
- Prochlorococcus rely on microbial interactions rather than on chlorotic resting stages to survive long-term nutrient starvation 93%
Similar papers in this journal
- Interactions between metabolism and growth can determine the co-existence of Staphylococcus aureus and Pseudomonas aeruginosa 94%
- Single-cell growth inference of Corynebacterium glutamicum reveals asymptotically linear growth 94%
- Hybridization alters the shape of the genotypic fitness landscape, increasing access to novel fitness peaks during adaptive radiation 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.