English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Eco-evolutionary feedback and the tuning of proto-developmental life cycles

Libby, E., & Rainey, P. B. (2013). Eco-evolutionary feedback and the tuning of proto-developmental life cycles. PLoS One, 8(12): e82274. doi:10.1371/ journal.pone.0082274.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-1160-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-1161-E
Genre: Journal Article

Files

show Files
hide Files
:
Libby_2013.pdf (Publisher version), 954KB
Name:
Libby_2013.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Libby, Eric, Author
Rainey, Paul B.1, Author              
Affiliations:
1External Scientific Member Group Experimental and Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445637              

Content

show
hide
Free keywords: -
 Abstract: Multicellular organisms depend on developmental programs to coordinate growth and differentiation from single cells, but the origins of development are unclear. A possible starting point is stochastic phenotypic variation generated by molecular noise. Given appropriate environmental conditions, noise-driven differentiation could conceivably evolve so as to come under regulatory control; however, abiotic conditions are likely to be restrictive. Drawing from an experimental system, we present a model in which environmental fluctuations are coupled to population growth. We show that this coupling generates stable selection for a single optimal strategy that is largely insensitive to environmental conditions, including the number of competitors, carrying capacity of the environment, difference in growth rates among phenotypic variants, and population density. We argue that this optimal strategy establishes stabilizing conditions likely to improve the quality and reliability of information experienced by evolving organisms, thus increasing opportunity for the evolutionary emergence of developmental programs.

Details

show
hide
Language(s): eng - English
 Dates: 2013-02-282013-10-282013-12-18
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1371/ journal.pone.0082274
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS One
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 8 (12) Sequence Number: e82274 Start / End Page: - Identifier: ISSN: 1932-6203 (online)
CoNE: /journals/resource/1000000000277850