Relatedness dynamics and sex-biased dispersal in a seasonal cycle of corn mice from intensively managed agroecosystems
; Martínez, Juan José
; Chiappero, Marina Beatriz
; Steinmann, Andrea Rosa
; Gardenal, Cristina Noemi
; Priotto, Jose Waldemar 
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
Palabras clave
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.
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-nd
