Linked Life Data

11838774

Source:http://linkedlifedata.com/resource/pubmed/id/11838774

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2002-2-12
pubmed:abstractText
Understanding the process of evolutionary divergence requires knowledge of the strength, form, and targets of selection, as well as the genetic architecture of the divergent traits. Quantitative genetic approaches to understanding multivariate selection and genetic response to selection have proven to be powerful tools in this endeavor, particularly with respect to short-term evolution. However, the application of quantitative genetic theory over periods of substantial phenotypic change is controversial because it requires that the requisite genetic parameters remain constant over the period of time in question. We show herein how attempts to determine the stability of key genetic parameters may be misled by the 'many genes of small effect' type of genetic architecture generally assumed in quantitative genetics. The presence of genes of major effect (GOMEs) can alter the genetic variance-covariance matrix dramatically for brief periods of time, significantly alter the rate and trajectory of multivariate evolution, and thereby mislead attempts to reconstruct or predict long term evolution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0016-6707
pubmed:author
pubmed:issnType
Print
pubmed:volume
112-113
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
33-43
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Possible consequences of genes of major effect: transient changes in the G-matrix.
pubmed:affiliation
Department of Biology, Indiana University, Bloomington 47405-3700, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't