語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Biological oceanography." ]
切換:
標籤
|
MARC模式
|
ISBD
Dynamics of Marine Microbial Metabol...
~
Casey, John R.
FindBook
Google Book
Amazon
博客來
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA./
作者:
Casey, John R.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
217 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:
Dissertation Abstracts International79-01B(E).
標題:
Biological oceanography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10656565
ISBN:
9780355264470
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA.
Casey, John R.
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 217 p.
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Thesis (Ph.D.)--University of Hawai'i at Manoa, 2017.
Marine microbial communities influence global biogeochemical cycles by coupling the transduction of free energy to the transformation of Earth's essential bio-elements: H, C, N, O, P, and S. The web of interactions between these processes is extraordinarily complex, though fundamental physical and thermodynamic principles should describe its dynamics. In this collection of 5 studies, aspects of the complexity of marine microbial metabolism and physiology were investigated as they interact with biogeochemical cycles and direct the flow of energy within the Station ALOHA surface layer microbial community. In Chapter 1, and at the broadest level of complexity discussed, a method to relate cell size to metabolic activity was developed to evaluate allometric power laws at fine scales within picoplankton populations. Although size was predictive of metabolic rates, within-population power laws deviated from the broader size spectrum, suggesting metabolic diversity as a key determinant of microbial activity. In Chapter 2, a set of guidelines was proposed by which organic substrates are selected and utilized by the heterotrophic community based on their nitrogen content, carbon content, and energy content. A hierarchical experimental design suggested that the heterotrophic microbial community prefers high nitrogen content but low energy density substrates, while carbon content was not important. In Chapter 3, a closer look at the light-dependent dynamics of growth on a single organic substrate, glycolate, suggested that growth yields were improved by photoheterotrophy. The remaining chapters were based on the development of a genome-scale metabolic network reconstruction of the cyanobacterium Prochlorococcus to probe its metabolic capabilities and quantify metabolic fluxes. Findings described in Chapter 4 pointed to evolution of the Prochlorococcus metabolic network to optimize growth at low phosphate concentrations. Finally, in Chapter 5 and at the finest scale of complexity, a method was developed to predict hourly changes in both physiology and metabolic fluxes in Prochlorococcus by incorporating gene expression time-series data within the metabolic network model. Growth rates predicted by this method more closely matched experimental data, and diel changes in elemental composition and the energy content of biomass were predicted. Collectively, these studies identify and quantify the potential impact of variations in metabolic and physiological traits on the melee of microbial community interactions.
ISBN: 9780355264470Subjects--Topical Terms:
2122748
Biological oceanography.
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA.
LDR
:03428nmm a2200277 4500
001
2158858
005
20180618102637.5
008
190424s2017 ||||||||||||||||| ||eng d
020
$a
9780355264470
035
$a
(MiAaPQ)AAI10656565
035
$a
AAI10656565
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Casey, John R.
$3
3346704
245
1 0
$a
Dynamics of Marine Microbial Metabolism and Physiology at Station ALOHA.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2017
300
$a
217 p.
500
$a
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500
$a
Adviser: David Karl.
502
$a
Thesis (Ph.D.)--University of Hawai'i at Manoa, 2017.
520
$a
Marine microbial communities influence global biogeochemical cycles by coupling the transduction of free energy to the transformation of Earth's essential bio-elements: H, C, N, O, P, and S. The web of interactions between these processes is extraordinarily complex, though fundamental physical and thermodynamic principles should describe its dynamics. In this collection of 5 studies, aspects of the complexity of marine microbial metabolism and physiology were investigated as they interact with biogeochemical cycles and direct the flow of energy within the Station ALOHA surface layer microbial community. In Chapter 1, and at the broadest level of complexity discussed, a method to relate cell size to metabolic activity was developed to evaluate allometric power laws at fine scales within picoplankton populations. Although size was predictive of metabolic rates, within-population power laws deviated from the broader size spectrum, suggesting metabolic diversity as a key determinant of microbial activity. In Chapter 2, a set of guidelines was proposed by which organic substrates are selected and utilized by the heterotrophic community based on their nitrogen content, carbon content, and energy content. A hierarchical experimental design suggested that the heterotrophic microbial community prefers high nitrogen content but low energy density substrates, while carbon content was not important. In Chapter 3, a closer look at the light-dependent dynamics of growth on a single organic substrate, glycolate, suggested that growth yields were improved by photoheterotrophy. The remaining chapters were based on the development of a genome-scale metabolic network reconstruction of the cyanobacterium Prochlorococcus to probe its metabolic capabilities and quantify metabolic fluxes. Findings described in Chapter 4 pointed to evolution of the Prochlorococcus metabolic network to optimize growth at low phosphate concentrations. Finally, in Chapter 5 and at the finest scale of complexity, a method was developed to predict hourly changes in both physiology and metabolic fluxes in Prochlorococcus by incorporating gene expression time-series data within the metabolic network model. Growth rates predicted by this method more closely matched experimental data, and diel changes in elemental composition and the energy content of biomass were predicted. Collectively, these studies identify and quantify the potential impact of variations in metabolic and physiological traits on the melee of microbial community interactions.
590
$a
School code: 0085.
650
4
$a
Biological oceanography.
$3
2122748
690
$a
0416
710
2
$a
University of Hawai'i at Manoa.
$b
Oceanography.
$3
3282820
773
0
$t
Dissertation Abstracts International
$g
79-01B(E).
790
$a
0085
791
$a
Ph.D.
792
$a
2017
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10656565
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9358405
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入