Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Molecular epidemiology of malaria prevalence and parasitaemia in a wild bird population.

Knowles, Sarah C L ; Wood, Matthew J ; Alves, Ricardo ; Wilkin, Teddy A ; Bensch, Staffan LU and Sheldon, Ben C (2011) In Molecular Ecology 20. p.1062-1076
Abstract
Avian malaria (Plasmodium spp.) and other blood parasitic infections of birds constitute increasingly popular model systems in ecological and evolutionary host-parasite studies. Field studies of these parasites commonly use two traits in hypothesis testing: infection status (or prevalence at the population level) and parasitaemia, yet the causes of variation in these traits remain poorly understood. Here, we use quantitative PCR to investigate fine-scale environmental and host predictors of malaria infection status and parasitaemia in a large 4-year data set from a well-characterized population of blue tits (Cyanistes caeruleus). We also examine the temporal dynamics of both traits within individuals. Both infection status and parasitaemia... (More)
Avian malaria (Plasmodium spp.) and other blood parasitic infections of birds constitute increasingly popular model systems in ecological and evolutionary host-parasite studies. Field studies of these parasites commonly use two traits in hypothesis testing: infection status (or prevalence at the population level) and parasitaemia, yet the causes of variation in these traits remain poorly understood. Here, we use quantitative PCR to investigate fine-scale environmental and host predictors of malaria infection status and parasitaemia in a large 4-year data set from a well-characterized population of blue tits (Cyanistes caeruleus). We also examine the temporal dynamics of both traits within individuals. Both infection status and parasitaemia showed marked temporal and spatial variation within this population. However, spatiotemporal patterns of prevalence and parasitaemia were non-parallel, suggesting that different biological processes underpin variation in these two traits at this scale. Infection probability and parasitaemia both increased with host age, and parasitaemia was higher in individuals investing more in reproduction (those with larger clutch sizes). Several local environmental characteristics predicted parasitaemia, including food availability, altitude, and distance from the woodland edge. Although infection status and parasitaemia were somewhat repeatable within individuals, infections were clearly dynamic: patent infections frequently disappeared from the bloodstream, with up to 26% being lost between years, and parasitaemia also fluctuated within individuals across years in a pattern that mirrored annual population-level changes. Overall, these findings highlight the ecological complexity of avian malaria infections in natural populations, while providing valuable insight into the fundamental biology of this system that will increase its utility as a model host-parasite system. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Molecular Ecology
volume
20
pages
1062 - 1076
publisher
Wiley-Blackwell
external identifiers
  • wos:000287397600018
  • scopus:79951799942
  • pmid:21073677
ISSN
0962-1083
DOI
10.1111/j.1365-294X.2010.04909.x
language
English
LU publication?
yes
id
dfc6e010-b794-4fac-9851-eabbd34a8689 (old id 1732048)
date added to LUP
2016-04-01 10:42:12
date last changed
2022-01-26 01:41:28
@article{dfc6e010-b794-4fac-9851-eabbd34a8689,
  abstract     = {{Avian malaria (Plasmodium spp.) and other blood parasitic infections of birds constitute increasingly popular model systems in ecological and evolutionary host-parasite studies. Field studies of these parasites commonly use two traits in hypothesis testing: infection status (or prevalence at the population level) and parasitaemia, yet the causes of variation in these traits remain poorly understood. Here, we use quantitative PCR to investigate fine-scale environmental and host predictors of malaria infection status and parasitaemia in a large 4-year data set from a well-characterized population of blue tits (Cyanistes caeruleus). We also examine the temporal dynamics of both traits within individuals. Both infection status and parasitaemia showed marked temporal and spatial variation within this population. However, spatiotemporal patterns of prevalence and parasitaemia were non-parallel, suggesting that different biological processes underpin variation in these two traits at this scale. Infection probability and parasitaemia both increased with host age, and parasitaemia was higher in individuals investing more in reproduction (those with larger clutch sizes). Several local environmental characteristics predicted parasitaemia, including food availability, altitude, and distance from the woodland edge. Although infection status and parasitaemia were somewhat repeatable within individuals, infections were clearly dynamic: patent infections frequently disappeared from the bloodstream, with up to 26% being lost between years, and parasitaemia also fluctuated within individuals across years in a pattern that mirrored annual population-level changes. Overall, these findings highlight the ecological complexity of avian malaria infections in natural populations, while providing valuable insight into the fundamental biology of this system that will increase its utility as a model host-parasite system.}},
  author       = {{Knowles, Sarah C L and Wood, Matthew J and Alves, Ricardo and Wilkin, Teddy A and Bensch, Staffan and Sheldon, Ben C}},
  issn         = {{0962-1083}},
  language     = {{eng}},
  pages        = {{1062--1076}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Molecular Ecology}},
  title        = {{Molecular epidemiology of malaria prevalence and parasitaemia in a wild bird population.}},
  url          = {{http://dx.doi.org/10.1111/j.1365-294X.2010.04909.x}},
  doi          = {{10.1111/j.1365-294X.2010.04909.x}},
  volume       = {{20}},
  year         = {{2011}},
}