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Exploring Heterogeneous Phenotypic S...

Brettner, Leandra M.

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Exploring Heterogeneous Phenotypic States in Bacteria.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring Heterogeneous Phenotypic States in Bacteria./
Author:	Brettner, Leandra M.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	105 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-11, Section: B.
Contained By:	Dissertations Abstracts International81-11B.
Subject:	Bioengineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27739581
ISBN:	9798641790398

Exploring Heterogeneous Phenotypic States in Bacteria.
Brettner, Leandra M.

Exploring Heterogeneous Phenotypic States in Bacteria. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 105 p.

Source: Dissertations Abstracts International, Volume: 81-11, Section: B.

Thesis (Ph.D.)--University of Washington, 2020.

This item must not be sold to any third party vendors.

The collective dry biomass of all bacteria on earth is estimated to be in the ballpark of 400 trillion tons. A single human body alone can harbor approximately 100 trillion bacterial cells. We are only just beginning to understand how the goings-on of these creatures affect not only our own health and biology, but the health and biology of every ecosystem on earth. The vast majority of naturally existing bacteria (>99%) have yet to be cultured in a laboratory setting, making studying them using classical microbiology techniques difficult at best. Investigating the complex community structures of these organisms becomes even more difficult still. To work around this problem, we can first construct synthetic microbial consortia that are engineered to exhibit the behaviors we would like to study. Or second, we can develop applications that can measure organism behavior directly in their natural environments, as is being seen the rapid expansion of the -omics technologies. In this exam, we use both approaches to examine how single-cell behaviors, in both isogenic and mixed bacterial communities, affect the phenotypic dynamics of the population as a whole.

ISBN: 9798641790398Subjects--Topical Terms:

657580
Bioengineering.
Subjects--Index Terms:

Bacterial ecology

Exploring Heterogeneous Phenotypic States in Bacteria.
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245 1 0 $a Exploring Heterogeneous Phenotypic States in Bacteria.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 105 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-11, Section: B.
500 $a Advisor: Klavins, Eric;DePaolo, Randy W.
502 $a Thesis (Ph.D.)--University of Washington, 2020.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The collective dry biomass of all bacteria on earth is estimated to be in the ballpark of 400 trillion tons. A single human body alone can harbor approximately 100 trillion bacterial cells. We are only just beginning to understand how the goings-on of these creatures affect not only our own health and biology, but the health and biology of every ecosystem on earth. The vast majority of naturally existing bacteria (>99%) have yet to be cultured in a laboratory setting, making studying them using classical microbiology techniques difficult at best. Investigating the complex community structures of these organisms becomes even more difficult still. To work around this problem, we can first construct synthetic microbial consortia that are engineered to exhibit the behaviors we would like to study. Or second, we can develop applications that can measure organism behavior directly in their natural environments, as is being seen the rapid expansion of the -omics technologies. In this exam, we use both approaches to examine how single-cell behaviors, in both isogenic and mixed bacterial communities, affect the phenotypic dynamics of the population as a whole.
590 $a School code: 0250.
650 4 $a Bioengineering. $3 657580
653 $a Bacterial ecology
653 $a Microbiology
653 $a Single-cell Transcriptomics
653 $a Synthetic biology
690 $a 0202
710 2 $a University of Washington. $b Bioengineering. $3 2094898
773 0 $t Dissertations Abstracts International $g 81-11B.
790 $a 0250
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27739581