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

  1. Stefen, Clara ORCID logo
  2. W, F ORCID logo
  3. Asztalos, Marika ORCID logo
  4. Giere, Peter ORCID logo
  5. Grobe, Peter
  6. Hiller, Michael ORCID logo
  7. Hofmann, Rebecca ORCID logo
  8. Jähde, Maria
  9. Lächele, Ulla
  10. Lehmann, Thomas ORCID logo
  11. Ortmann, Sylvia ORCID logo
  12. Peters, Benjamin J. ORCID logo
  13. Ruf, Irina ORCID logo
  14. Schiffmann, Christian
  15. Thier, Nadja
  16. Unterhitzenberger, Gabriele
  17. Vogt, Lars ORCID logo
  18. Rudolf, Matthias
  19. Wehner, Peggy
  20. Stuckas, Heiko ORCID logo

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WeightNameValue
1000 Titel
  • Phenotyping in the era of genomics: MaTrics—a digital character matrix to document mammalian phenotypic traits
1000 Autor/in
  1. Stefen, Clara |
  2. W, F |
  3. Asztalos, Marika |
  4. Giere, Peter |
  5. Grobe, Peter |
  6. Hiller, Michael |
  7. Hofmann, Rebecca |
  8. Jähde, Maria |
  9. Lächele, Ulla |
  10. Lehmann, Thomas |
  11. Ortmann, Sylvia |
  12. Peters, Benjamin J. |
  13. Ruf, Irina |
  14. Schiffmann, Christian |
  15. Thier, Nadja |
  16. Unterhitzenberger, Gabriele |
  17. Vogt, Lars |
  18. Rudolf, Matthias |
  19. Wehner, Peggy |
  20. Stuckas, Heiko |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-12-07
1000 Erschienen in
1000 Quellenangabe
  • 102(1):235-249
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s42991-021-00192-5 |
1000 Ergänzendes Material
  • https://link.springer.com/article/10.1007/s42991-021-00192-5#Sec11 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • A new and uniquely structured matrix of mammalian phenotypes, MaTrics (Mammalian Traits for Comparative Genomics) in a digital form is presented. By focussing on mammalian species for which genome assemblies are available, MaTrics provides an interface between mammalogy and comparative genomics. MaTrics was developed within a project aimed to find genetic causes of phenotypic traits of mammals using Forward Genomics. This approach requires genomes and comprehensive and recorded information on homologous phenotypes that are coded as discrete categories in a matrix. MaTrics is an evolving online resource providing information on phenotypic traits in numeric code; traits are coded either as absent/present or with several states as multistate. The state record for each species is linked to at least one reference (e.g., literature, photographs, histological sections, CT scans, or museum specimens) and so MaTrics contributes to digitalization of museum collections. Currently, MaTrics covers 147 mammalian species and includes 231 characters related to structure, morphology, physiology, ecology, and ethology and available in a machine actionable NEXUS-format*. Filling MaTrics revealed substantial knowledge gaps, highlighting the need for phenotyping efforts. Studies based on selected data from MaTrics and using Forward Genomics identified associations between genes and certain phenotypes ranging from lifestyles (e.g., aquatic) to dietary specializations (e.g., herbivory, carnivory). These findings motivate the expansion of phenotyping in MaTrics by filling research gaps and by adding taxa and traits. Only databases like MaTrics will provide machine actionable information on phenotypic traits, an important limitation to genomics. MaTrics is available within the data repository Morph·D·Base (www.morphdbase.de).
1000 Sacherschließung
lokal Discrete character states
lokal Museum specimens
lokal Comparative genomics
lokal Hard tissue
lokal Numeric coding
lokal Visceral & life history traits
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7986-110X|https://orcid.org/0000-0001-6623-6700|https://orcid.org/0000-0002-4090-1159|https://orcid.org/0000-0002-5570-0085|https://frl.publisso.de/adhoc/uri/R3JvYmUsIFBldGVy|https://orcid.org/0000-0003-3024-1449|https://orcid.org/0000-0003-4985-6099|https://frl.publisso.de/adhoc/uri/SsOkaGRlLCBNYXJpYQ==|https://frl.publisso.de/adhoc/uri/TMOkY2hlbGUsIFVsbGE=|https://orcid.org/0000-0002-1946-7968|https://orcid.org/0000-0003-2520-6251|https://orcid.org/0000-0002-2737-7006|https://orcid.org/0000-0002-9728-1210|https://frl.publisso.de/adhoc/uri/U2NoaWZmbWFubiwgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/uri/VGhpZXIsIE5hZGph|https://frl.publisso.de/adhoc/uri/VW50ZXJoaXR6ZW5iZXJnZXIsIEdhYnJpZWxl|https://orcid.org/0000-0002-8280-0487|https://frl.publisso.de/adhoc/uri/UnVkb2xmLCBNYXR0aGlhcw==|https://frl.publisso.de/adhoc/uri/V2VobmVyLCBQZWdneQ==|https://orcid.org/0000-0002-5690-0994
1000 Label
1000 Förderer
  1. Projekt DEAL |
  2. Leibnitz Association |
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  2. -
1000 Förderprogramm
  1. Open Access funding
  2. SAW-2016-SGN-2
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Projekt DEAL |
    1000 Förderprogramm Open Access funding
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Leibnitz Association |
    1000 Förderprogramm SAW-2016-SGN-2
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6434220.rdf
1000 Erstellt am 2022-07-22T15:28:03.029+0200
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