scholarly journals Malaria infection status predicts extra-pair paternity in the blue tit

2015 ◽  
Vol 46 (3) ◽  
pp. 303-306 ◽  
Author(s):  
Edyta Podmokła ◽  
Anna Dubiec ◽  
Aneta Arct ◽  
Szymon M. Drobniak ◽  
Lars Gustafsson ◽  
...  
Keyword(s):  
Malaria Infection ◽  
Infection Status ◽  
Blue Tit ◽  
Extra Pair Paternity

Extra-pair paternity results from female preference for high-quality males in the blue tit

Nature ◽  
1992 ◽  
Vol 357 (6378) ◽  
pp. 494-496 ◽  
Author(s):  
Bart Kempenaers ◽  
Geert R. Verheyen ◽  
Marleen Van den Broeck ◽  
Terry Burke ◽  
Christine Van Broeckhoven ◽  
...  
Keyword(s):  
Female Preference ◽  
Blue Tit ◽  
High Quality ◽  
Extra Pair Paternity

scholarly journals A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hannier Pulido ◽  
Nina M. Stanczyk ◽  
Consuelo M. De Moraes ◽  
Mark C. Mescher
Keyword(s):  
Genetic Algorithm ◽  
Malaria Infection ◽  
Infection Status ◽  
Predictive Capability ◽  
Diagnostic Biomarkers ◽  
Significant Potential ◽  
Pathological Conditions ◽  
Volatile Biomarkers

AbstractRecent findings suggest that changes in human odors caused by malaria infection have significant potential as diagnostic biomarkers. However, uncertainty remains regarding the specificity of such biomarkers, particularly in populations where many different pathological conditions may elicit similar symptoms. We explored the ability of volatile biomarkers to predict malaria infection status in Kenyan schoolchildren exhibiting a range of malaria-like symptoms. Using genetic algorithm models to explore data from skin volatile collections, we were able to identify malaria infection with 100% accuracy among children with fever and 75% accuracy among children with other symptoms. While we observed characteristic changes in volatile patterns driven by symptomatology, our models also identified malaria-specific biomarkers with robust predictive capability even in the presence of other pathogens that elicit similar symptoms.

Individual Quality and Extra‐Pair Paternity in the Blue Tit: Sexy Males Bear the Costs

Evolution ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 559-572 ◽  
Author(s):  
Elisa P. Badás ◽  
Amaia Autor ◽  
Javier Martínez ◽  
Juan Rivero‐de Aguilar ◽  
Santiago Merino
Keyword(s):  
Individual Quality ◽  
Blue Tit ◽  
Extra Pair Paternity

scholarly journals Declining extra-pair paternity with laying order associated with initial incubation behavior, but independent of final clutch size in the blue tit

2011 ◽  
Vol 66 (4) ◽  
pp. 603-612 ◽  
Author(s):  
Oscar Vedder ◽  
Michael J. L. Magrath ◽  
Daphne L. Niehoff ◽  
Marco van der Velde ◽  
Jan Komdeur
Keyword(s):  
Clutch Size ◽  
Blue Tit ◽  
Laying Order ◽  
Extra Pair Paternity ◽  
Incubation Behavior

Influence of haemosporidian infection status on structural and carotenoid-based colouration in the blue tit Cyanistes caeruleus

2018 ◽  
Vol 49 (10) ◽  
pp. e01840 ◽  
Author(s):  
Katarzyna Janas ◽  
Edyta Podmokła ◽  
Dorota Lutyk ◽  
Anna Dubiec ◽  
Lars Gustafsson ◽  
...  
Keyword(s):  
Infection Status ◽  
Blue Tit ◽  
Cyanistes Caeruleus

scholarly journals An inverse association between West Nile virus serostatus and avian malaria infection status

2014 ◽  
Vol 7 (1) ◽  
pp. 415 ◽  
Author(s):  
Matthew CI Medeiros ◽  
Tavis K Anderson ◽  
Jenni M Higashiguchi ◽  
Uriel D Kitron ◽  
Edward D Walker ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Malaria Infection ◽  
Avian Malaria ◽  
Inverse Association ◽  
Infection Status ◽  
West Nile

Does Reproductive Synchrony Limit Male Opportunities or Enhance Female Choice for Extra-Pair Paternity?

Behaviour ◽  
1997 ◽  
Vol 134 (7-8) ◽  
pp. 551-562 ◽  
Author(s):  
Bart Kempenaers
Keyword(s):  
Female Choice ◽  
Timing Of Breeding ◽  
Parus Caeruleus ◽  
Male Quality ◽  
Blue Tit ◽  
Fertile Period ◽  
Trade Off ◽  
Reproductive Synchrony ◽  
Extra Pair Paternity ◽  
Breeding Synchrony

AbstractBreeding synchrony has been suggested as one factor that might explain the variation in frequency of extra-pair paternity, both between and within species. Reproductive synchrony might limit the opportunities for males to engage in extra-pair copulations (EPCs), because males face a trade-off with guarding their own fertile partner. Alternatively, breeding synchrony may promote extra-pair paternity, because of reduced male-male competition for EPCs or because of enhanced possibilities for females to assess male quality. In this study, I investigated the influence of synchrony on the occurrence of extra-pair paternity in the blue tit Parus caeruleus. Over four years, breeding synchrony and extra-pair paternity were positively related. Within a season, extra-pair paternity occurred independently of the timing of breeding. The fertile period of the extra-pair male's social mate and that of the extra-pair female often overlapped considerably. However, males who performed EPCs during the fertile period of their social mate were not more likely to lose paternity than males who performed EPCs after the fertile period of their mate. These data suggest that breeding synchrony has little influence on the occurrence of extra-pair paternity in the blue tit.

scholarly journals Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans

2018 ◽  
Vol 115 (22) ◽  
pp. 5780-5785 ◽  
Author(s):  
Consuelo M. De Moraes ◽  
Caroline Wanjiku ◽  
Nina M. Stanczyk ◽  
Hannier Pulido ◽  
James W. Sims ◽  
...  
Keyword(s):  
Malaria Infection ◽  
Screening Method ◽  
Machine Learning Algorithms ◽  
Diagnostic Tools ◽  
Screening Methods ◽  
Human Populations ◽  
Asymptomatic Malaria ◽  
Infection Status ◽  
Asymptomatic Infections ◽  
Volatile Biomarkers

Malaria remains among the world’s deadliest diseases, and control efforts depend critically on the availability of effective diagnostic tools, particularly for the identification of asymptomatic infections, which play a key role in disease persistence and may account for most instances of transmission but often evade detection by current screening methods. Research on humans and in animal models has shown that infection by malaria parasites elicits changes in host odors that influence vector attraction, suggesting that such changes might yield robust biomarkers of infection status. Here we present findings based on extensive collections of skin volatiles from human populations with high rates of malaria infection in Kenya. We report broad and consistent effects of malaria infection on human volatile profiles, as well as significant divergence in the effects of symptomatic and asymptomatic infections. Furthermore, predictive models based on machine learning algorithms reliably determined infection status based on volatile biomarkers. Critically, our models identified asymptomatic infections with 100% sensitivity, even in the case of low-level infections not detectable by microscopy, far exceeding the performance of currently available rapid diagnostic tests in this regard. We also identified a set of individual compounds that emerged as consistently important predictors of infection status. These findings suggest that volatile biomarkers may have significant potential for the development of a robust, noninvasive screening method for detecting malaria infections under field conditions.

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