Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Phylogenetic signal analysis in the basicranium of Ursidae (Carnivora, Mammalia)

View through CrossRef
Ursidae is a monophyletic group comprised of three subfamilies: Tremarctinae, Ursinae and Ailuropodinae, all of which have a rich geographical distribution. The phylogenetic relationships within the Ursidae group have been underexamined, especially regarding morphological traits such as the basicranium. Importantly, the basicranium is a highly complex region that covers a small portion of the skull, combining both structural and functional aspects that determine its morphology. Phylogenetic hypotheses of the Ursidae (including Tremarctinae) have been made based on morphological characters that considers skull, mandible and teeth features, while specific characters of the auditory region and basicranium have not been taken into account. To do this, we analyse the shape and size macroevolution of the basicranium of Ursidae, testing its morphological disparity in a phylogenetic context, which is quantified by means of the phylogenetic signal. We investigated phylogenetical autocorrelation by shape (depicted by Principal Components Analysis scores from previous published analyses) and basicranium size (depicted by centroid size, CS) using an orthonormal decomposition analysis and Abouheif C mean. The main advantages of these methods are that they rely exclusively on cladogram topology and do not require branch-length estimates. Also, an optimisation of the ancestral nodes was performed using TNT 1.5 software. In relation to the phylogenetic signal, both methods showed similar results: the presence of autocorrelation was detected in PC1 and PC2, while in PC3, PC4 and PC5 and in the size of the basicranium (CS), the absence of autocorrelation occurred. The most significant nodes (where there is autocorrelation) are the basal nodes ‘Ursidae’ and ‘Ursinae-Tremarctinae’. Within this last group, distinctive basicranium morphology is observed, being more conservative in Tremarctinae than in Ursinae. The differences between these subfamilies could be related to historical events involving varying food and environmental preferences. The high phylogenetic signal in the node Tremarctinae probably indicates that the basicranium configuration of these bears was obtained early in their evolutionary history. Finally, our results of the basicranium and skull length ratios indicate that in Tremarctinae, the basicranium size was not determined by phylogeny but instead by other factors, such as adaptive responses to climatic changes and competition with other carnivores.
Title: Phylogenetic signal analysis in the basicranium of Ursidae (Carnivora, Mammalia)
Description:
Ursidae is a monophyletic group comprised of three subfamilies: Tremarctinae, Ursinae and Ailuropodinae, all of which have a rich geographical distribution.
The phylogenetic relationships within the Ursidae group have been underexamined, especially regarding morphological traits such as the basicranium.
Importantly, the basicranium is a highly complex region that covers a small portion of the skull, combining both structural and functional aspects that determine its morphology.
Phylogenetic hypotheses of the Ursidae (including Tremarctinae) have been made based on morphological characters that considers skull, mandible and teeth features, while specific characters of the auditory region and basicranium have not been taken into account.
To do this, we analyse the shape and size macroevolution of the basicranium of Ursidae, testing its morphological disparity in a phylogenetic context, which is quantified by means of the phylogenetic signal.
We investigated phylogenetical autocorrelation by shape (depicted by Principal Components Analysis scores from previous published analyses) and basicranium size (depicted by centroid size, CS) using an orthonormal decomposition analysis and Abouheif C mean.
The main advantages of these methods are that they rely exclusively on cladogram topology and do not require branch-length estimates.
Also, an optimisation of the ancestral nodes was performed using TNT 1.
5 software.
In relation to the phylogenetic signal, both methods showed similar results: the presence of autocorrelation was detected in PC1 and PC2, while in PC3, PC4 and PC5 and in the size of the basicranium (CS), the absence of autocorrelation occurred.
The most significant nodes (where there is autocorrelation) are the basal nodes ‘Ursidae’ and ‘Ursinae-Tremarctinae’.
Within this last group, distinctive basicranium morphology is observed, being more conservative in Tremarctinae than in Ursinae.
The differences between these subfamilies could be related to historical events involving varying food and environmental preferences.
The high phylogenetic signal in the node Tremarctinae probably indicates that the basicranium configuration of these bears was obtained early in their evolutionary history.
Finally, our results of the basicranium and skull length ratios indicate that in Tremarctinae, the basicranium size was not determined by phylogeny but instead by other factors, such as adaptive responses to climatic changes and competition with other carnivores.

Related Results

Análisis morfológico de la región auditiva de los Ursidae Tremarctinae, su aplicación en sistemática filogenética y paleobiología
Análisis morfológico de la región auditiva de los Ursidae Tremarctinae, su aplicación en sistemática filogenética y paleobiología
Este trabajo de Tesis Doctoral tuvo por objetivo estudiar en forma comparada la morfología de la región auditiva de los Tremarctinae Ursidae, a fin de describir caracteres de impor...
Bears into the Niche-Space: Phylogeography and Phyloclimatic Model of the Family Ursidae
Bears into the Niche-Space: Phylogeography and Phyloclimatic Model of the Family Ursidae
Assessing niche evolution remains an open question and an actively developing area of study. The family Ursidae consists of eight extant species for which, despite being the most s...
Los ursidae (Carnivora: fissipedia) fósiles de la República Argentina
Los ursidae (Carnivora: fissipedia) fósiles de la República Argentina
El objetivo de este trabajo era realizar un estudio sistemático, filogenético y paleoecológico sobre las especies de Ursidae Tremarctinae del Pleistoceno de la Argentina; pero debi...
Extractraction of non-stationary harmonic from chaotic background based on synchrosqueezed wavelet transform
Extractraction of non-stationary harmonic from chaotic background based on synchrosqueezed wavelet transform
The signal detection in chaotic background has gradually become one of the research focuses in recent years. Previous research showed that the measured signals were often unavoidab...
Double resonant sum-frequency generation in an external-cavity under high-efficiency frequency conversion
Double resonant sum-frequency generation in an external-cavity under high-efficiency frequency conversion
In recent years, more than 90% of the signal laser power can be up-converted based on the high-efficiency double resonant external cavity sum-frequency generation (SFG), especially...
Phylogenetic diversity and regionalization of root nodule symbiosis
Phylogenetic diversity and regionalization of root nodule symbiosis
ABSTRACTAimHere we determine centers of species richness (SR), relative phylogenetic diversity (RPD) and centers of paleo- and neo-endemism, and regionalizations of phylogenetic di...
phyr: An R package for phylogenetic species-distribution modelling in ecological communities
phyr: An R package for phylogenetic species-distribution modelling in ecological communities
SummaryModel-based approaches are increasingly popular in ecological studies. A good example of this trend is the use of joint species distribution models to ask questions about ec...
Analysis of parameters for smoothing electrocardiographic signals Aleksandr A. Fedotov
Analysis of parameters for smoothing electrocardiographic signals Aleksandr A. Fedotov
The article is devoted to the consideration of the features of smoothing filtering of ECG signal against the background of electromyographic distortions of various magnitude. The m...

Back to Top