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Stefen, C.

Publications and source records attributed to Stefen, C..

2 recordsLinked to original sources

Analysing variations in pelage patterning among European Felis silvestris silvestris populations

The pelage pattern of wildcats from six regions within the distribution range of the species is analysed to test the hypothesis that clear differences between different regions exist. In total, 98 furs were used, but with different distribution from the Eifel (Germany), Harz Mountains (Germany), Caucasus, Western Spain, Switzerland/France and Greece. Specimens were at least seven months old, sex was not considered. The characteristics used were adapted from the literature and included typical wildcat features like the tail and stripes on the neck. Polychoric correlations, as a binary version of Spearmans rank correlation coefficient, were used as a measure of correlation between pelage characteristics. Pairwise tetrachoric correlations were computed with R 3.1.2., cluster analyses were conducted with SPSS 14. No clear relationship between the pelage characteristics and the geographic distribution of the six studied wildcat populations were found, the hypothesis needs to be rejected. It is however suggested, that coat patterning of Caucasian wildcats to some degree differ from other European wildcat. The results, however, do not clearly corroborate this hypothesis as Caucasian wildcats were not grouped into closed clusters in all the cluster analyses. To a lesser extent, pelage characteristic differences may also exist between wildcats from Western Spain as well as South-Western Greece and other European regions, but the samples are too small to draw conclusions. To test these refined hypotheses, more specimens from the Caucasus, Western Spain and South-Western Greece (but also Switzerland/North-Eastern France) need to be collected and compared according to our protocol.

zoology↗

Phenotyping in the era of genomics: MaTrics a digital character matrix to document mammalian phenotypic traits coded numerically

A new and uniquely structured matrix of mammalian phenotypes, MaTrics (Mammalian Traits for Comparative Genomics) is presented in a digital form. By focussing on mammalian species for which genome assemblies are available, MaTrics provides an interface between mammalogy and comparative genomics. MaTrics was developed as part of a project to link phenotypic differences between mammals to differences in their genomes using Forward Genomics. Apart from genomes this approach requires information on homologous phenotypes that are numerically encoded (presence-absence; multistate character coding*) in a matrix. MaTrics provides these data, links them to at least one reference (e.g., literature, photographs, histological sections, CT-scans, or museum specimens) and makes them available in a machine actionable NEXUS-format. By making the data computer readable, MatTrics opens a new way for digitizing collections. Currently, MaTrics covers 147 mammalian species and includes 207 characters referring to structure, morphology, physiology, ecology and ethology. Researching these traits revealed substantial knowledge gaps, highlighting the need for substantial phenotyping efforts in the genomic era. Using the trait information documented in MaTrics, previous Forward Genomics screens identified changes in genes that are associated with various phenotypes, ranging from fully-aquatic lifestyle to dietary specializations. These results motivate the continuous expansion of phenotype information, both by filling research gaps or by adding additional taxa and traits. MaTrics is digitally available online within the data repository Morph{middle dot}D{middle dot}Base (www.morphdbase.de).

zoology↗