東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A Synthetic-biology Approach to Unde...

Tanouchi, Yu.

Linked to FindBook

Google Book

Amazon

博客來

A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment./
Author:	Tanouchi, Yu.
Description:	178 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Contained By:	Dissertation Abstracts International74-07B(E).
Subject:	Biology, Microbiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3556221
ISBN:	9781267980298

A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment.
Tanouchi, Yu.

A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment. - 178 p.

Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.

Thesis (Ph.D.)--Duke University, 2013.

Programmed death is often associated with a bacterial stress response. This behavior appears paradoxical, as it offers no benefit to the individual. This paradox can be explained if the death is altruistic': the sacrifice of some cells can benefit the survivors through release of public goods'. However, the conditions where bacterial programmed death becomes advantageous have not been unambiguously demonstrated experimentally. Here, I determined such conditions by engineering tunable, stress-induced altruistic death in the bacterium Escherichia coli. Using a mathematical model, we predicted the existence of an optimal programmed death rate that maximizes population growth under stress. I further predicted that altruistic death could generate the Eagle effect', a counter-intuitive phenomenon where bacteria appear to grow better when treated with higher antibiotic concentrations. In support of these modeling insights, I experimentally demonstrated both the optimality in programmed death rate and the Eagle effect using our engineered system. These findings fill a critical conceptual gap in the analysis of the evolution of bacterial programmed death, and have implications for a design of antibiotic treatment.

ISBN: 9781267980298Subjects--Topical Terms:

1017734
Biology, Microbiology.

A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment.
LDR:02108nam a2200265 4500 001 1965005
005 20141010092952.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781267980298
035 $a (MiAaPQ)AAI3556221
035 $a AAI3556221
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tanouchi, Yu. $3 2101580
245 1 2 $a A Synthetic-biology Approach to Understanding Bacterial Programmed Death and Implications for Antibiotic Treatment.
300 $a 178 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
500 $a Adviser: Lingchong You.
502 $a Thesis (Ph.D.)--Duke University, 2013.
520 $a Programmed death is often associated with a bacterial stress response. This behavior appears paradoxical, as it offers no benefit to the individual. This paradox can be explained if the death is altruistic': the sacrifice of some cells can benefit the survivors through release of public goods'. However, the conditions where bacterial programmed death becomes advantageous have not been unambiguously demonstrated experimentally. Here, I determined such conditions by engineering tunable, stress-induced altruistic death in the bacterium Escherichia coli. Using a mathematical model, we predicted the existence of an optimal programmed death rate that maximizes population growth under stress. I further predicted that altruistic death could generate the Eagle effect', a counter-intuitive phenomenon where bacteria appear to grow better when treated with higher antibiotic concentrations. In support of these modeling insights, I experimentally demonstrated both the optimality in programmed death rate and the Eagle effect using our engineered system. These findings fill a critical conceptual gap in the analysis of the evolution of bacterial programmed death, and have implications for a design of antibiotic treatment.
590 $a School code: 0066.
650 4 $a Biology, Microbiology. $3 1017734
690 $a 0410
710 2 $a Duke University. $b Biomedical Engineering. $3 1036229
773 0 $t Dissertation Abstracts International $g 74-07B(E).
790 $a 0066
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3556221