Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Costs of plasticity in host use in b...
~
The University of Arizona., Ecology & Evolutionary Biology.
Linked to FindBook
Google Book
Amazon
博客來
Costs of plasticity in host use in butterflies.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Costs of plasticity in host use in butterflies./
Author:
Snell-Rood, Emilie C.
Description:
240 p.
Notes:
Adviser: Daniel R. Papaj.
Contained By:
Dissertation Abstracts International68-07B.
Subject:
Biology, Ecology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3274716
ISBN:
9780549136675
Costs of plasticity in host use in butterflies.
Snell-Rood, Emilie C.
Costs of plasticity in host use in butterflies.
- 240 p.
Adviser: Daniel R. Papaj.
Thesis (Ph.D.)--The University of Arizona, 2007.
Phenotypic plasticity, the ability of a genotype to express different phenotypes in different environments, allows organisms to cope with variation in resources and invade novel environments. Biologists have long been fascinated with the costs and tradeoffs that generate and maintain variation in plasticity, such as possible increases in brain size and delays in reproduction associated with the evolution of learning. However, the costs of plasticity vary: many studies have failed to find costs of plasticity, the degree of costs often vary with the system or environments considered, and many costs of plasticity are variable even within the lifetime of an individual. This research adopts a developmental perspective to predict the degree and incidence of costs of plasticity, using host learning in butterflies as a case study. Learning, a mechanism of plasticity that develops through a trial-and-error sampling process, should result in developmental costs and allocation of energy towards development (at the expense of reproduction). Furthermore, costs of learning should be less pronounced in environments for which organisms have innate biases and for learned traits underlain by short-term memory, relative to long-term memory (which requires more developmental re-structuring). This research found support for all three predictions across three levels of costs: behavioral costs, tissue costs, and fecundity trade-offs. Butterflies exhibited genetic variation in their ability to learn to recognize different colored hosts. Genotypes with higher proxies for long-term memory emerged with relatively larger neural investment and smaller reproductive investment. In contrast to these costs of long-term learning, proxies of short-term learning were only correlated with increased exploration of a range of possible resources (types of non-hosts) early in the host-learning process. Family-level costs of plasticity emerged from the ability to learn to locate a red host, for which butterflies do not have an innate bias. Costs of learning were also induced by learning itself: following exposure to novel (red) host environments, individual butterflies, regardless of genetic background, increased exploratory behavior, increased neural investment, and re-allocated energy away from reproduction towards other functions (e.g., flight). Considering developmental mechanisms helps to predict how costs will influence the evolution of learning and plasticity.
ISBN: 9780549136675Subjects--Topical Terms:
1017726
Biology, Ecology.
Costs of plasticity in host use in butterflies.
LDR
:03323nam 2200277 a 45
001
852777
005
20100630
008
100630s2007 ||||||||||||||||| ||eng d
020
$a
9780549136675
035
$a
(UMI)AAI3274716
035
$a
AAI3274716
040
$a
UMI
$c
UMI
100
1
$a
Snell-Rood, Emilie C.
$3
1018797
245
1 0
$a
Costs of plasticity in host use in butterflies.
300
$a
240 p.
500
$a
Adviser: Daniel R. Papaj.
500
$a
Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4239.
502
$a
Thesis (Ph.D.)--The University of Arizona, 2007.
520
$a
Phenotypic plasticity, the ability of a genotype to express different phenotypes in different environments, allows organisms to cope with variation in resources and invade novel environments. Biologists have long been fascinated with the costs and tradeoffs that generate and maintain variation in plasticity, such as possible increases in brain size and delays in reproduction associated with the evolution of learning. However, the costs of plasticity vary: many studies have failed to find costs of plasticity, the degree of costs often vary with the system or environments considered, and many costs of plasticity are variable even within the lifetime of an individual. This research adopts a developmental perspective to predict the degree and incidence of costs of plasticity, using host learning in butterflies as a case study. Learning, a mechanism of plasticity that develops through a trial-and-error sampling process, should result in developmental costs and allocation of energy towards development (at the expense of reproduction). Furthermore, costs of learning should be less pronounced in environments for which organisms have innate biases and for learned traits underlain by short-term memory, relative to long-term memory (which requires more developmental re-structuring). This research found support for all three predictions across three levels of costs: behavioral costs, tissue costs, and fecundity trade-offs. Butterflies exhibited genetic variation in their ability to learn to recognize different colored hosts. Genotypes with higher proxies for long-term memory emerged with relatively larger neural investment and smaller reproductive investment. In contrast to these costs of long-term learning, proxies of short-term learning were only correlated with increased exploration of a range of possible resources (types of non-hosts) early in the host-learning process. Family-level costs of plasticity emerged from the ability to learn to locate a red host, for which butterflies do not have an innate bias. Costs of learning were also induced by learning itself: following exposure to novel (red) host environments, individual butterflies, regardless of genetic background, increased exploratory behavior, increased neural investment, and re-allocated energy away from reproduction towards other functions (e.g., flight). Considering developmental mechanisms helps to predict how costs will influence the evolution of learning and plasticity.
590
$a
School code: 0009.
650
4
$a
Biology, Ecology.
$3
1017726
650
4
$a
Biology, Entomology.
$3
1018619
690
$a
0329
690
$a
0353
710
2
$a
The University of Arizona.
$b
Ecology & Evolutionary Biology.
$3
1018690
773
0
$t
Dissertation Abstracts International
$g
68-07B.
790
$a
0009
790
1 0
$a
Papaj, Daniel R.,
$e
advisor
791
$a
Ph.D.
792
$a
2007
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3274716
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9069401
電子資源
11.線上閱覽_V
電子書
EB W9069401
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login