2016
DOI: 10.1016/j.tim.2015.11.009
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Trade-off Mechanisms Shaping the Diversity of Bacteria

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Cited by 161 publications
(139 citation statements)
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“…Trade-offs are important means through which bacteria adapt to the environment and eventually promote increased bacterial diversity [53]. Allocation of resources to cell reproduction comes at the cost of neglecting the expression of proteins important for bacterial protection against environmental stresses, and vice-versa.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Trade-offs are important means through which bacteria adapt to the environment and eventually promote increased bacterial diversity [53]. Allocation of resources to cell reproduction comes at the cost of neglecting the expression of proteins important for bacterial protection against environmental stresses, and vice-versa.…”
Section: Resultsmentioning
confidence: 99%
“…However, rpoS normally have a negative effect on fitness, as shown for strain MC4100 and to a lesser extent for LRT9. On the other hand, the presence of rpoS in strain E2348/69 was not disadvantageous, meaning that by keeping rpoS the bacterium did not have to trade stress resistance for nutritional competence, as stipulated by the SPANC balance [53]. …”
Section: Discussionmentioning
confidence: 99%
“…tive pressures that each result in phenotypically different populations. The idea that intraspecies and interspecies diversities are driven largely by evolutionary trade-offs that arise between different properties of the cell (e.g., biofilm formation, metabolism, motility, stress resistance) when they are subject to the constraints of different environments has recently been reviewed comprehensively (79).…”
Section: Figmentioning
confidence: 99%
“…Organisms, particularly microbes [26], clearly affect their environments. The existence of trade-offs is widely cited [22,27], as is their importance for competition [7] and possible role in diversity [22,28], albeit modeling of the latter has been limited, e.g., to justifying chaotic population dynamics [29]. We chose to implement metabolic trade-offs via a simple sum rule.…”
mentioning
confidence: 99%