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Alternative hypotheses to explain the relationship between infestation intensity and sex ratio of ricinid lice (Psocodea: Phthiraptera: Ricinidae) infesting hummingbirds (Apodiformes: Trochilidae)

Published online by Cambridge University Press:  24 March 2026

Yoshika Oniki-Willis
Affiliation:
Independent Researcher, Rio Claro, Brazil
Edwin O Willis
Affiliation:
Biodiversity Department, Institute of Biosciences, State University of São Paulo (UNESP), Rio Claro, Brazil
Oldřich Sychra
Affiliation:
Department of Biology and Wildlife Diseases, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences, Brno, Czechia
Terry Galloway
Affiliation:
Department of Entomology, University of Manitoba, Winnipeg, MB, Canada
Lajos Rózsa*
Affiliation:
Institute of Evolution, HUN-REN Centre for Ecological Research, Budapest, Hungary Centre for Eco-Epidemiology, National Laboratory for Health Security, Budapest, Hungary Hungarian Department of Biology and Ecology, Babeş-Bolyai University, Cluj-Napoca, Romania
*
Corresponding author: Lajos Rózsa; Email: lajos.rozsa@gmail.com

Abstract

Ricinid lice are exceptionally large-bodied relative to their hosts and tend to form small infrapopulations. They exhibit a more pronounced female bias (predominance of females) than most other lice. Sex ratios (SRs; the proportions of males) of 10 hummingbird-ricinid species pairs collected from South and North America were examined. There was a significant positive relationship between infrapopulation size and SR in 5 cases, and similar non-significant tendencies in 4 cases. Two formerly constructed hypotheses had been considered to explain this relationship. First, Wolbachia infections may account for the female bias, but male aggression during mating could elevate female mortality resulting in higher male proportions in large infrapopulations. Second, the Local Mate Competition (LMC) Hypothesis predicts that highly inbred infrapopulations should exhibit female-biased SRs. Small infrapopulations are likely to be inbred because of stronger genetic drift and are also more likely to originate from single infestations. Conversely, multiple infestations can generate larger and more outbred infrapopulations that are less affected by genetic drift, leading to a shift towards more balanced SRs. This results in a positive correlation between infrapopulation size (infestation intensity) and SR. Both hypotheses provide explanation for the positive association between infestation intensity and the proportion of males, although the LMC aligns more strongly with the actual values of the observed SR bias. Notably, the former hypothesis refers to the physiological mechanism, whereas the latter refers to the adaptive value of the SR bias. These 2 hypotheses are not mutually exclusive.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press.
Figure 0

Table 1. Basic sample characteristics and Type 1 linear regression models of the relationship between log(intensity) and sex ratio (proportion of males) of intensity pools in 10 host–parasite species pairs

Figure 1

Figure 1. The relationship between log(intensity) and sex ratio (proportion of males) of intensity pools in the largest sample of the present study, Trochiloecetes sp. infestations of the Black Jacobin (Florisuga fusca). The circles are proportional to the number of lice constituting each intensity pool. The line represents the Type 1 linear regression model of the relationship. See statistical details in Table 1.

Figure 2

Figure 2. Type 1 linear regression models of the relationship between log(intensity) and sex ratio (proportion of males) of intensity pools in 10 host–parasite species pairs. Continuous lines indicate significant, dashed lines non-significant relationships (P = 0.05, 2-tailed). The numbers refer to the species pairs named in Table 1. Note that regression line No. 9 represents Florisuga fusca, the sample already visualized with intensity pools on Figure 1.