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Inferring differential rates of dive...

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Inferring differential rates of diversification from phylogenies.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Inferring differential rates of diversification from phylogenies./
Author:	Moore, Brian Ross.
Description:	685 p.
Notes:	Adviser: Michael John Donoghue.
Contained By:	Dissertation Abstracts International68-12B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3293407
ISBN:	9780549373513

Inferring differential rates of diversification from phylogenies.
Moore, Brian Ross.

Inferring differential rates of diversification from phylogenies. - 685 p.

Adviser: Michael John Donoghue.

Thesis (Ph.D.)--Yale University, 2007.

The recent profusion of phylogenetic research and concurrent development of phylogeny-hosed methods continues to profoundly transform our ability to discover the historical patterns and understand the evolutionary processes of biological diversification. This thesis reflects my attempt to contribute to this area of research and the ultimate goal of realizing a more unified approach to---and understanding of---the causes and consequences of differential diversification rates, one that incorporates the biological, geographical, and ecological facets of the problem. The thesis is structured in three main sections. The first section comprises four chapters that describe phylogeny-based methods for inferring various aspects of lineage diversification and biogeographic history. Chapter 2 describes methods for detecting significant variation in rates of diversification across lineages. Chapter 3 describes methods for locating significant shifts diversification rate along internal branches. Chapter 4 describes a method for exploring the impact of a particular historical event (the origin of a novel trait, an episode of biogeographic dispersal, the onset of an ecological association) on rates of diversification. Chapter 5 describe an approach for inferring the history of movement by which lineages have achieved their past and present geographic distributions. The second section (comprising three chapters) turns to the problem of large-scale phylogeny estimation, which is motivated by the attractive statistical properties of such trees for the study of diversification rates, Chapter 6 compares the empirical performance of conventional supertree-estimation methods. Chapter 7 describes the use of non-parametric bootstrapping to increase the correspondence between the supertree topology and the underlying source-tree character data, and also to estimate uncertainty n the inferred supertree. Chapter 8 presents an alternative approach for large-scale phylogeny estimation that combines aspects of competing supermatrix and supertree strategics. The final section presents a worked empirical example of the methods developed in previous chapters, evaluating correlations between biogeographic movement, morphological change, and shifts in rates of diversification within the flowering plant group, Dipsacales. Overall, these findings highlight the importance of embracing a more integrative approach to the study of diversification rates.

ISBN: 9780549373513Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Inferring differential rates of diversification from phylogenies.
LDR:03309nam 2200265 a 45 001 852677
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020 $a 9780549373513
035 $a (UMI)AAI3293407
035 $a AAI3293407
040 $a UMI $c UMI
100 1 $a Moore, Brian Ross. $3 1018666
245 1 0 $a Inferring differential rates of diversification from phylogenies.
300 $a 685 p.
500 $a Adviser: Michael John Donoghue.
500 $a Source: Dissertation Abstracts International, Volume: 68-12, Section: B, page: 7744.
502 $a Thesis (Ph.D.)--Yale University, 2007.
520 $a The recent profusion of phylogenetic research and concurrent development of phylogeny-hosed methods continues to profoundly transform our ability to discover the historical patterns and understand the evolutionary processes of biological diversification. This thesis reflects my attempt to contribute to this area of research and the ultimate goal of realizing a more unified approach to---and understanding of---the causes and consequences of differential diversification rates, one that incorporates the biological, geographical, and ecological facets of the problem. The thesis is structured in three main sections. The first section comprises four chapters that describe phylogeny-based methods for inferring various aspects of lineage diversification and biogeographic history. Chapter 2 describes methods for detecting significant variation in rates of diversification across lineages. Chapter 3 describes methods for locating significant shifts diversification rate along internal branches. Chapter 4 describes a method for exploring the impact of a particular historical event (the origin of a novel trait, an episode of biogeographic dispersal, the onset of an ecological association) on rates of diversification. Chapter 5 describe an approach for inferring the history of movement by which lineages have achieved their past and present geographic distributions. The second section (comprising three chapters) turns to the problem of large-scale phylogeny estimation, which is motivated by the attractive statistical properties of such trees for the study of diversification rates, Chapter 6 compares the empirical performance of conventional supertree-estimation methods. Chapter 7 describes the use of non-parametric bootstrapping to increase the correspondence between the supertree topology and the underlying source-tree character data, and also to estimate uncertainty n the inferred supertree. Chapter 8 presents an alternative approach for large-scale phylogeny estimation that combines aspects of competing supermatrix and supertree strategics. The final section presents a worked empirical example of the methods developed in previous chapters, evaluating correlations between biogeographic movement, morphological change, and shifts in rates of diversification within the flowering plant group, Dipsacales. Overall, these findings highlight the importance of embracing a more integrative approach to the study of diversification rates.
590 $a School code: 0265.
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0715
710 2 $a Yale University. $3 515640
773 0 $t Dissertation Abstracts International $g 68-12B.
790 $a 0265
790 1 0 $a Donoghue, Michael John, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3293407