2005
DOI: 10.1111/j.1525-142x.2005.05047.x
|View full text |Cite
|
Sign up to set email alerts
|

Evolutionary integration and morphological diversification in complex morphological structures: mandible shape divergence in spiny rats (Rodentia, Echimyidae)

Abstract: The rodent mandible has become a paradigm for studies on the development and evolution of complex morphological structures. We use a combination of geometric and multivariate morphometric methods in order to assess the correspondence between integration patterns and a priori biological models in the context of evolutionary shape divergence in the mandible of rodents of the family Echimyidae. The correlation of shape distances among operational taxonomic units (individuals, species, genera) in separate morphoge… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

8
161
1
6

Year Published

2007
2007
2017
2017

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 129 publications
(176 citation statements)
references
References 56 publications
8
161
1
6
Order By: Relevance
“…The advantage of this approach is that specific aspects of variation or covariation can be emphasized, depending on the choice of the analyses. For example, in some structures, the main patterns of overall variation, represented by the shape changes associated with first few principal components, strongly resemble the main patterns of covariation between parts, which can be obtained as the shape changes associated with the first few partial leastsquares axes [10,12,13,16,18,85]. This indicates that the patterns of covariation between parts are also the dominant patterns of overall variation in the structure under study, and therefore emphasize the strength of integration.…”
Section: (B) Examining Patterns Of Variation and Covariationmentioning
confidence: 89%
See 3 more Smart Citations
“…The advantage of this approach is that specific aspects of variation or covariation can be emphasized, depending on the choice of the analyses. For example, in some structures, the main patterns of overall variation, represented by the shape changes associated with first few principal components, strongly resemble the main patterns of covariation between parts, which can be obtained as the shape changes associated with the first few partial leastsquares axes [10,12,13,16,18,85]. This indicates that the patterns of covariation between parts are also the dominant patterns of overall variation in the structure under study, and therefore emphasize the strength of integration.…”
Section: (B) Examining Patterns Of Variation and Covariationmentioning
confidence: 89%
“…Comparative methods such as independent contrasts or, equivalently, phylogenetic generalized least squares, can be combined with the usual morphometric methods for analysing morphological integration and modularity [18]. This combination of methods has been used in a range of studies, using analyses such as multivariate regressions to estimate evolutionary allometry [18,25,35,92,93], partial leastsquares analysis for examining patterns of integration among parts [16][17][18][19][20][21]26] and tests of modularity [18,21,52].…”
Section: (G) Evolutionary Integrationmentioning
confidence: 99%
See 2 more Smart Citations
“…Such methods, based on landmarks or outline analyses, have been used to tackle many topics regarding rodent evolution: evolutionary patterns along fossil lineages (Renaud et al 1996Piras et al 2009;Stoetzel et al 2013), diversification among species, addressing the respective role of adaptation and neutral evolution (e.g. Cardini 2003;Monteiro et al 2005;Macholan 2006;Michaux et al 2007a); differentiation between populations, investigating the role of environmental variations (Renaud 1999;Fadda and Corti 2001;Michaux 2003, 2007;McGuire 2010;Helvaci et al 2012), processes favoring co--occurrence among species , patterns and route of colonization (Valenzuela--Lamas et al 2011;Siahsarvie et al 2012;Cucchi et al 2013). …”
Section: Introductionmentioning
confidence: 99%