DOAJ Open Access 2022

Estimating heritability of song considering within-individual variance in a wild songbird: The collared flycatcher

Mónika Jablonszky Mónika Jablonszky David Canal Gergely Hegyi Márton Herényi +15 lainnya

Abstrak

Heritable genetic variation is a prerequisite for adaptive evolution; however, our knowledge about the heritability of plastic traits, such as behaviors, is scarce, especially in wild populations. In this study, we investigated the heritability of song traits in the collared flycatcher (Ficedula albicollis), a small oscine passerine with complex songs involved in sexual selection. We recorded the songs of 81 males in a natural population and obtained various measures describing the frequency, temporal organization, and complexity of each song. As we had multiple songs from each individual, we were able to statistically account for the first time for the effect of within-individual variance on the heritability of song. Heritability was calculated from the variance estimates of animal models relying on a genetic similarity matrix based on Single Nucleotide Polymorphism screening. Overall, we found small additive genetic variance and heritability values in all song traits, highlighting the role of environmental factors in shaping bird song.

Topik & Kata Kunci

Penulis (20)

M

Mónika Jablonszky

M

Mónika Jablonszky

D

David Canal

G

Gergely Hegyi

M

Márton Herényi

M

Márton Herényi

M

Miklós Laczi

M

Miklós Laczi

M

Miklós Laczi

O

Oscar Lao

G

Gábor Markó

G

Gergely Nagy

G

Gergely Nagy

B

Balázs Rosivall

E

Eszter Szász

J

János Török

S

Sándor Zsebõk

S

Sándor Zsebõk

L

László Zsolt Garamszegi

L

László Zsolt Garamszegi

Format Sitasi

Jablonszky, M., Jablonszky, M., Canal, D., Hegyi, G., Herényi, M., Herényi, M. et al. (2022). Estimating heritability of song considering within-individual variance in a wild songbird: The collared flycatcher. https://doi.org/10.3389/fevo.2022.975687

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.3389/fevo.2022.975687
Akses
Open Access ✓