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

Authors :
G. Unterhitzenberger
M. Rudolf
P. Wehner
Michael Hiller
C. Stefen
Peter Giere
F. Wagner
C. Schiffmann
T. Lehmann
I. Ruf
Heiko Stuckas
L. Vogt
M. Asztalos
P. Grobe
N. Thier
B. Peters
R. Hofmann
M. Jaehde
Sylvia Ortmann
U. Laechele
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

A new and uniquely structured matrix of mammalian phenotypes,MaTrics(MammalianTraits for Comparative Genomics) is presented in a digital form. By focussing on mammalian species for which genome assemblies are available,MaTricsprovides an interface between mammalogy and comparative genomics.MaTricswas developed as part of a project to link phenotypic differences between mammals to differences in their genomes usingForward Genomics.Apart from genomes this approach requires information on homologous phenotypes that are numerically encoded (presence-absence; multistate character coding*) in a matrix.MaTricsprovides 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,MatTricsopens a new way for digitizing collections. Currently,MaTricscovers 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 inMaTrics, 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.MaTricsis digitally available online within the data repository Morph·D·Base (www.morphdbase.de).

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........cc14bda51c7b74cea3356d93320d8f19
Full Text :
https://doi.org/10.1101/2021.01.17.426960