Artículo

Relatedness dynamics and sex-biased dispersal in a seasonal cycle of corn mice from intensively managed agroecosystems

Sommaro, Lucía Valeria Icon; Martínez, Juan José Icon; Chiappero, Marina Beatriz Icon; Steinmann, Andrea Rosa Icon; Gardenal, Cristina Noemi Icon; Priotto, Jose Waldemar Icon

Otros responsables

Fecha

11/2022

Editorial

Oxford University Press

Revista

Current Zoology

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

1674-5507

eISSN

2396-9814

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

The sex-biased dispersal and kinship dynamics are important factors shaping the spatial distribution of individuals and are key parameters affecting a variety of ecological and evolutionary processes. Here, we studied the spatial distribution of related individuals within a population of corn mice (Calomys musculinus) in a seasonal cycle to infer dispersal patterns. The sampling was carried out from spring 2005 to winter 2006 in field borders of intensively managed agroecosystems. Genotyping data from 346 individuals with 9 microsatellites showed spatial genetic structure (SGS) was weak for males, but not for females. The results indicate a complex spatial kinship dynamic of related females across all seasons. Which, contrary to our expectations, dispersal distances decrease with the increase of the population abundance. Meanwhile, male dispersal distances were greater when population abundance increased and thus the availability of active females. Males disperse greater distances to mate and sire offspring with distant females as a possible inbreeding avoidance mechanism. This study shows that C. musculinus is capable of much greater scattering distances than previously reported and that dispersal occurs fluidly and without barriers across the agroecosystem. The indirect benefit of dispersal on individual fitness could be related to relaxing the competition in the natal area and increasing the mating rate. Our study highlights the value of combining genetic relatedness, fieldwork observations, and behavioural data to estimate dispersal at a fine geographical scale.

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