Publication:

Information theory can help quantify the potential of new phenotypes to originate as exaptations

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

Wagner, A. (2020). Information theory can help quantify the potential of new phenotypes to originate as exaptations. Frontiers in Ecology and Evolution, 8, 564071. https://doi.org/10.3389/fevo.2020.564071

Abstract

Abstract

Abstract

Exaptations are adaptive traits that do not originate <jats:italic>de novo</jats:italic> but from other adaptive traits. They include complex macroscopic traits, such as the middle ear bones of mammals, which originated from reptile jaw bones, but also molecular traits, such as new binding sites of transcriptional regulators. What determines whether a trait originates <jats:italic>de novo</jats:italic> or as an exaptation is unknown. I here use simple information theoretic concepts to quantify a molecular phenotype’s potential to give

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Acq. date: 2025-11-12

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Additional indexing

Creators (Authors)

  • Wagner, Andreas
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
8

Page range/Item number

Page range/Item number

Page range/Item number
564071

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-12-10

Date available

Date available

Date available
2021-01-27

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2296-701X

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

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Downloads

4 since deposited on 2021-01-27
Acq. date: 2025-11-12

Views

1 since deposited on 2021-01-27
Acq. date: 2025-11-12

Citations

Citation copied

Wagner, A. (2020). Information theory can help quantify the potential of new phenotypes to originate as exaptations. Frontiers in Ecology and Evolution, 8, 564071. https://doi.org/10.3389/fevo.2020.564071

Gold Open Access
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