東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multilocus phylogeny and Bayesian es...

Welton, Luke Jarett.

FindBook

Google Book

Amazon

博客來

Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus).

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus)./
作者:	Welton, Luke Jarett.
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 51-02.
Contained By:	Masters Abstracts International51-02(E).
標題:	Biology, Systematic. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1516249
ISBN:	9781267537140

Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus).
Welton, Luke Jarett.

Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus). - 57 p.

Source: Masters Abstracts International, Volume: 51-02.

Thesis (M.A.)--University of Kansas, 2012.

Recent conceptual, technological, and methodological advances in phylogenetic systematics have enabled increasingly robust statistical species delimitation in empirical studies of biodiversity. As the diversity of lines of evidence has increased, so too have the kinds of tools and inferential power of species delimitation methods expanded. Here we showcase an ideal organismal system for a data-rich, comparative approach to evaluating integrative strategies of species delimitation among charismatic monitor lizards of the genus Varanus. The water monitors (Varanus salvator Complex), a widespread group distributed throughout Southeast Asia and southern India, have been the subjects of numerous taxonomic treatments, which recently have drawn increased attention to the possibility of undocumented species diversity in the Philippines. To date, studies of this group have relied on purportedly diagnostic differences in morphological characters, with no attention given to the genetic underpinnings of species diversity. We collected a 5-gene dataset to estimate phylogeny, and used multilocus genetic networks, analysis of population structure, and a Bayesian coalescent approach to infer species boundaries in this group. Our results contradict previous systematic hypotheses, reveal surprising relationships between Philippine and non-Philippine lineages, and simultaneously uncover novel, cryptic evolutionary lineages (new putative species). Our study contributes to a growing body of literature suggesting that integrative combinations of types of data and analyses are most informative to systematists and biodiversity specialists when attempting to estimate species diversity. We recommend holding in abeyance taxonomic decisions until multiple, converging lines of evidence are available to best inform taxonomists, evolutionary biologists, and conservationists.

ISBN: 9781267537140Subjects--Topical Terms:

1676856
Biology, Systematic.

Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus).
LDR:02839nam a2200289 4500 001 1963817
005 20141008090528.5
008 150210s2012 ||||||||||||||||| ||eng d
020 $a 9781267537140
035 $a (MiAaPQ)AAI1516249
035 $a AAI1516249
040 $a MiAaPQ $c MiAaPQ
100 1 $a Welton, Luke Jarett. $3 2100137
245 1 0 $a Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian water monitors (genus Varanus).
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 51-02.
500 $a Adviser: Rafe M. Brown.
502 $a Thesis (M.A.)--University of Kansas, 2012.
520 $a Recent conceptual, technological, and methodological advances in phylogenetic systematics have enabled increasingly robust statistical species delimitation in empirical studies of biodiversity. As the diversity of lines of evidence has increased, so too have the kinds of tools and inferential power of species delimitation methods expanded. Here we showcase an ideal organismal system for a data-rich, comparative approach to evaluating integrative strategies of species delimitation among charismatic monitor lizards of the genus Varanus. The water monitors (Varanus salvator Complex), a widespread group distributed throughout Southeast Asia and southern India, have been the subjects of numerous taxonomic treatments, which recently have drawn increased attention to the possibility of undocumented species diversity in the Philippines. To date, studies of this group have relied on purportedly diagnostic differences in morphological characters, with no attention given to the genetic underpinnings of species diversity. We collected a 5-gene dataset to estimate phylogeny, and used multilocus genetic networks, analysis of population structure, and a Bayesian coalescent approach to infer species boundaries in this group. Our results contradict previous systematic hypotheses, reveal surprising relationships between Philippine and non-Philippine lineages, and simultaneously uncover novel, cryptic evolutionary lineages (new putative species). Our study contributes to a growing body of literature suggesting that integrative combinations of types of data and analyses are most informative to systematists and biodiversity specialists when attempting to estimate species diversity. We recommend holding in abeyance taxonomic decisions until multiple, converging lines of evidence are available to best inform taxonomists, evolutionary biologists, and conservationists.
590 $a School code: 0099.
650 4 $a Biology, Systematic. $3 1676856
650 4 $a Biology, Conservation. $3 1669964
650 4 $a Agriculture, Wildlife Conservation. $3 1672517
690 $a 0423
690 $a 0408
690 $a 0284
710 2 $a University of Kansas. $b Ecology & Evolutionary Biology. $3 1018663
773 0 $t Masters Abstracts International $g 51-02(E).
790 $a 0099
791 $a M.A.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1516249