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Polygyny does not explain the superior competitive ability of dominant ant associates in the African ant‐plant, Acacia ( Vachellia ) drepanolobium

Authors :
Dino J. Martins
John H. Boyle
Paul M. Musili
Naomi E. Pierce
S. Kimani Ndung'u
Julianne N. Pelaez
David Kenfack
Staline Kibet
Source :
Ecology and Evolution
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

The Acacia drepanolobium (also known as Vachellia drepanolobium) ant‐plant symbiosis is considered a classic case of species coexistence, in which four species of tree‐defending ants compete for nesting space in a single host tree species. Coexistence in this system has been explained by trade‐offs in the ability of the ant associates to compete with each other for occupied trees versus the ability to colonize unoccupied trees. We seek to understand the proximal reasons for how and why the ant species vary in competitive or colonizing abilities, which are largely unknown. In this study, we use RADseq‐derived SNPs to identify relatedness of workers in colonies to test the hypothesis that competitively dominant ants reach large colony sizes due to polygyny, that is, the presence of multiple egg‐laying queens in a single colony. We find that variation in polygyny is not associated with competitive ability; in fact, the most dominant species, unexpectedly, showed little evidence of polygyny. We also use these markers to investigate variation in mating behavior among the ant species and find that different species vary in the number of males fathering the offspring of each colony. Finally, we show that the nature of polygyny varies between the two commonly polygynous species, Crematogaster mimosae and Tetraponera penzigi: in C. mimosae, queens in the same colony are often related, while this is not the case for T. penzigi. These results shed light on factors influencing the evolution of species coexistence in an ant‐plant mutualism, as well as demonstrating the effectiveness of RADseq‐derived SNPs for parentage analysis.

Details

ISSN :
20457758
Volume :
8
Database :
OpenAIRE
Journal :
Ecology and Evolution
Accession number :
edsair.doi.dedup.....fb9b4902da5352a87f1bd9ff120d04e3
Full Text :
https://doi.org/10.1002/ece3.3752