Unknown

Dataset Information

0

The fitness burden imposed by synthesising quorum sensing signals.


ABSTRACT: It is now well established that bacterial populations utilize cell-to-cell signaling (quorum-sensing, QS) to control the production of public goods and other co-operative behaviours. Evolutionary theory predicts that both the cost of signal production and the response to signals should incur fitness costs for producing cells. Although costs imposed by the downstream consequences of QS have been shown, the cost of QS signal molecule (QSSM) production and its impact on fitness has not been examined. We measured the fitness cost to cells of synthesising QSSMs by quantifying metabolite levels in the presence of QSSM synthases. We found that: (i) bacteria making certain QSSMs have a growth defect that exerts an evolutionary cost, (ii) production of QSSMs negatively correlates with intracellular concentrations of QSSM precursors, (iii) the production of heterologous QSSMs negatively impacts the production of a native QSSM that shares common substrates, and (iv) supplementation with exogenously added metabolites partially rescued growth defects imposed by QSSM synthesis. These data identify the sources of the fitness costs incurred by QSSM producer cells, and indicate that there may be metabolic trade-offs associated with QS signaling that could exert selection on how signaling evolves.

SUBMITTER: Ruparell A 

PROVIDER: S-EPMC5018880 | biostudies-other | 2016

REPOSITORIES: biostudies-other

altmetric image

Publications


It is now well established that bacterial populations utilize cell-to-cell signaling (quorum-sensing, QS) to control the production of public goods and other co-operative behaviours. Evolutionary theory predicts that both the cost of signal production and the response to signals should incur fitness costs for producing cells. Although costs imposed by the downstream consequences of QS have been shown, the cost of QS signal molecule (QSSM) production and its impact on fitness has not been examine  ...[more]

Similar Datasets

| S-EPMC3361460 | biostudies-literature
2008-07-25 | GSE10642 | GEO
2010-05-25 | E-GEOD-10642 | biostudies-arrayexpress
| S-EPMC5328491 | biostudies-literature
| S-EPMC1151799 | biostudies-literature
| S-EPMC2661960 | biostudies-literature
| S-EPMC94816 | biostudies-literature
2017-06-01 | GSE81281 | GEO
| S-EPMC3858670 | biostudies-literature
| S-EPMC298792 | biostudies-literature