Model eggs fail to detect egg recognition in host populations after brood parasitism is relaxed.

Avian brood parasitism Cuculus canorus Parasitism pressure Prinia inornata Rejection motivation

Journal

Frontiers in zoology
ISSN: 1742-9994
Titre abrégé: Front Zool
Pays: England
ID NLM: 101231669

Informations de publication

Date de publication:
2020
Historique:
received: 07 11 2019
accepted: 04 05 2020
entrez: 20 5 2020
pubmed: 20 5 2020
medline: 20 5 2020
Statut: epublish

Résumé

Obligate brood parasites exert strong selective pressure on target hosts. In response, hosts typically evolve anti-parasitism strategies, of which egg recognition is one of the most efficient. Generally, host egg-recognition capacity is determined using model eggs. Previous studies have shown that some host species, which are capable of detecting parasite eggs, do not reject model eggs. However, it is unknown that whether the reaction to model eggs varies among distinct populations of the same host in relation to the degree of parasitism pressure. Here, we compared the rejection frequencies of model eggs and real eggs between mainland and island populations of the plain prinia ( Our results indicated that some factors affecting the decision to reject, such as rejection motivation, varied according to the degree of parasitism pressure, and thus influenced the frequency of egg rejection. Furthermore, our results suggested that model eggs should be used with caution in comparative studies of egg recognition abilities among species or populations subjected to different intensities of brood parasitism. That is, model eggs may fail to accurately detect egg recognition in host populations with little to no risk of parasitism.

Sections du résumé

BACKGROUND BACKGROUND
Obligate brood parasites exert strong selective pressure on target hosts. In response, hosts typically evolve anti-parasitism strategies, of which egg recognition is one of the most efficient. Generally, host egg-recognition capacity is determined using model eggs. Previous studies have shown that some host species, which are capable of detecting parasite eggs, do not reject model eggs. However, it is unknown that whether the reaction to model eggs varies among distinct populations of the same host in relation to the degree of parasitism pressure.
RESULTS RESULTS
Here, we compared the rejection frequencies of model eggs and real eggs between mainland and island populations of the plain prinia (
CONCLUSIONS CONCLUSIONS
Our results indicated that some factors affecting the decision to reject, such as rejection motivation, varied according to the degree of parasitism pressure, and thus influenced the frequency of egg rejection. Furthermore, our results suggested that model eggs should be used with caution in comparative studies of egg recognition abilities among species or populations subjected to different intensities of brood parasitism. That is, model eggs may fail to accurately detect egg recognition in host populations with little to no risk of parasitism.

Identifiants

pubmed: 32426018
doi: 10.1186/s12983-020-00362-0
pii: 362
pmc: PMC7216403
doi:

Types de publication

Journal Article

Langues

eng

Pagination

14

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

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Auteurs

Canchao Yang (C)

1Ministry of Education Key Laboratory for Ecology of Tropical Islands, College of Life Sciences, Hainan Normal University, Haikou, 571158 China.

Longwu Wang (L)

2State Forestry Administration of China Key Laboratory for Biodiversity Conservation in Mountainous Areas of Southwest Karst, School of Life Sciences, Guizhou Normal University, Guiyang, 550001 China.

Shun-Jen Cheng (SJ)

3Department of Natural Resources and Environmental Studies, National Dong Hwa University, 97401 Hualien, Taiwan.

Yu-Cheng Hsu (YC)

3Department of Natural Resources and Environmental Studies, National Dong Hwa University, 97401 Hualien, Taiwan.

Anders Pape Møller (AP)

4Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, F-91405 Orsay Cedex, France.

Wei Liang (W)

1Ministry of Education Key Laboratory for Ecology of Tropical Islands, College of Life Sciences, Hainan Normal University, Haikou, 571158 China.

Classifications MeSH