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

Global patterns of bacterial diversity.

Lozupone, Catherine Anne.

Linked to FindBook

Google Book

Amazon

博客來

Global patterns of bacterial diversity.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Global patterns of bacterial diversity./
Author:	Lozupone, Catherine Anne.
Description:	211 p.
Notes:	Adviser: Rob Knight.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Biology, Ecology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273707
ISBN:	9780549140627

Global patterns of bacterial diversity.
Lozupone, Catherine Anne.

Global patterns of bacterial diversity. - 211 p.

Adviser: Rob Knight.

Thesis (Ph.D.)--University of Colorado at Boulder, 2007.

Motivation. Large scale sequencing of the 16S ribosomal RNA (rRNA) gene from microbial populations has lead to the deposition of thousands of environmental clone sequences in GenBank. Because only a small fraction of microorganisms will grow in pure culture, the sole information about the biology of much of life's diversity is the environmental distribution of these sequences.

ISBN: 9780549140627Subjects--Topical Terms:

1017726
Biology, Ecology.

Global patterns of bacterial diversity.
LDR:03462nam 2200361 a 45 001 969715
005 20110920
008 110921s2007 eng d
020 $a 9780549140627
035 $a (UMI)AAI3273707
035 $a AAI3273707
040 $a UMI $c UMI
100 1 $a Lozupone, Catherine Anne. $3 1293772
245 1 0 $a Global patterns of bacterial diversity.
300 $a 211 p.
500 $a Adviser: Rob Knight.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: .
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2007.
520 $a Motivation. Large scale sequencing of the 16S ribosomal RNA (rRNA) gene from microbial populations has lead to the deposition of thousands of environmental clone sequences in GenBank. Because only a small fraction of microorganisms will grow in pure culture, the sole information about the biology of much of life's diversity is the environmental distribution of these sequences.
520 $a UniFrac. In order to compare diverse microbial communities and to determine the degree to which different physical and chemical factors, such as temperature, nutrient concentration, or geographical location, impact microbial composition, I developed a new diversity measure called UniFrac. UniFrac calculates phylogenetic distance between communities as the fraction of branch length that leads to descendants of one community or the other but not both. I also developed weighted UniFrac, which additionally accounts for relative sequence abundances, and show that applying weighted and unweighted UniFrac to the same data provides different but equally illuminating insights into the important factors for explaining microbial distribution. To make UniFrac and related phylogenetic diversity measures available to the community of microbial ecologists, I helped to develop a web implementation, which is available at http://bmf.colorado.edu/unifrac.
520 $a Global analysis. I performed the most comprehensive analysis of the environmental distribution of bacteria to date, based on 21,752 16S ribosomal RNA (rRNA) sequences compiled from 111 studies of diverse physical environments. I used UniFrac to cluster the samples based on similarities in the phylogenetic lineages that they contain, and found that, surprisingly, the major environmental determinant of microbial community composition is salinity, rather than extremes of temperature, pH, or other physical and chemical factors represented in the samples. I also used these clusters to group the samples into environment types and determined which environment types are the most phylogenetically diverse. Sediments were more diverse than any other environment type. Surprisingly, soil, which has high specieslevel diversity, has below-average phylogenetic diversity. This work provides a framework for understanding the impact of environmental factors on bacterial evolution, and for the direction of future sequencing efforts to discover new lineages.
590 $a School code: 0051.
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Biology, Microbiology. $3 1017734
650 4 $a Biology, Molecular. $3 1017719
690 $a 0307
690 $a 0329
690 $a 0410
710 2 0 $a University of Colorado at Boulder. $b Molecular, Cellular and Developmental Biology. $3 1293773
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0051
790 1 0 $a Ahn, Natalie $e committee member
790 1 0 $a Knight, Rob, $e advisor
790 1 0 $a Krauter, Ken $e committee member
790 1 0 $a Pace, Norm $e committee member
790 1 0 $a Yarus, Mike $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273707