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10.1186/s12862-015-0492-0 http://scihub22266oqcxt.onion/10.1186/s12862-015-0492-0 C4587919!4587919 !26416609     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26416609 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26416609 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Evol+Biol 2015 ; 15 (ä): 211 Nephropedia Template TP {{tp|p=26416609 |t=2015. In silico evolution of diauxic growth |pdf=|usr=}}{{26416609 }} gab.com Text In silico evolution of diauxic growth JO: BMC Evol Biol http://www.kidney.de/pget.php?&tw=1&pmid=26416609 #FOAvip BACKGROUND: The glucose effect is a well known phenomenon whereby cells, when presented with two different nutrients, show a diauxic growth pattern, i.e. an episode of exponential growth followed by a lag phase of reduced growth followed by a second phase of exponential growth. Diauxic growth is usually thought of as a an adaptation to maximise biomass production in an environment offering two or more carbon sources. While diauxic growth has been studied widely both experimentally and theoretically, the hypothesis that diauxic growth is a strategy to increase overall growth has remained an unconfirmed conjecture. METHODS: Here, we present a minimal mathematical model of a bacterial nutrient uptake system and metabolism. We subject this model to artificial evolution to test under which conditions diauxic growth evolves. RESULTS: As a result, we find that, indeed, sequential uptake of nutrients emerges if there is competition for nutrients and the metabolism/uptake system is capacity limited. DISCUSSION: However, we also find that diauxic growth is a secondary effect of this system and that the speed-up of nutrient uptake is a much larger effect. Notably, this speed-up of nutrient uptake coincides with an overall reduction of efficiency. CONCLUSIONS: Our two main conclusions are: (i) Cells competing for the same nutrients evolve rapid but inefficient growth dynamics. (ii) In the deterministic models we use here no substantial lag-phase evolves. This suggests that the lag-phase is a consequence of stochastic gene expression. Twit Text FOAVip In silico evolution of diauxic growth ????BMC Evol Biol http://www.kidney.de/pget.php?&tw=1&pmid=26416609 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26416609 #FOAvip English Wikipedia <ref>{{Cite pmid|26416609 }}</ref> In silico evolution of diauxic growth #MMPMID26416609 Chu DF BMC Evol Biol 2015[Sep]; 15 (ä): 211 PMID26416609 show ga BACKGROUND: The glucose effect is a well known phenomenon whereby cells, when presented with two different nutrients, show a diauxic growth pattern, i.e. an episode of exponential growth followed by a lag phase of reduced growth followed by a second phase of exponential growth. Diauxic growth is usually thought of as a an adaptation to maximise biomass production in an environment offering two or more carbon sources. While diauxic growth has been studied widely both experimentally and theoretically, the hypothesis that diauxic growth is a strategy to increase overall growth has remained an unconfirmed conjecture. METHODS: Here, we present a minimal mathematical model of a bacterial nutrient uptake system and metabolism. We subject this model to artificial evolution to test under which conditions diauxic growth evolves. RESULTS: As a result, we find that, indeed, sequential uptake of nutrients emerges if there is competition for nutrients and the metabolism/uptake system is capacity limited. DISCUSSION: However, we also find that diauxic growth is a secondary effect of this system and that the speed-up of nutrient uptake is a much larger effect. Notably, this speed-up of nutrient uptake coincides with an overall reduction of efficiency. CONCLUSIONS: Our two main conclusions are: (i) Cells competing for the same nutrients evolve rapid but inefficient growth dynamics. (ii) In the deterministic models we use here no substantial lag-phase evolves. This suggests that the lag-phase is a consequence of stochastic gene expression. |*Models, Biological [MESH] |Directed Molecular Evolution [MESH] |Escherichia coli/cytology/*growth & development/metabolism [MESH] |Genetic Fitness [MESH]In silico evolution of diauxic growth (epmc).pdf DeepDyve Pubget Overpricing