Literature DB >> 17889900

Thermal tolerance in a south-east African population of the tsetse fly Glossina pallidipes (Diptera, Glossinidae): implications for forecasting climate change impacts.

John S Terblanche1, Susana Clusella-Trullas, Jacques A Deere, Steven L Chown.   

Abstract

For tsetse (Glossina spp.), the vectors of human and animal trypanosomiases, the physiological mechanisms linking variation in population dynamics with changing weather conditions have not been well established. Here, we investigate high- and low-temperature tolerance in terms of activity limits and survival in a natural population of adult Glossina pallidipes from eastern Zambia. Due to increased interest in chilling flies for handling and aerial dispersal in sterile insect technique control and eradication programmes, we also provide further detailed investigation of low-temperature responses. In wild-caught G. pallidipes, the probability of survival for 50% of the population at low-temperatures was at 3.7, 8.9 and 9.6 degrees C (95% CIs: +/-1.5 degrees C) for 1, 2 and 3 h treatments, respectively. At high temperatures, it was estimated that treatments at 37.9, 36.2 and 35.6 degrees C (95% CIs: +/-0.5 degrees C) would yield 50% population survival for 1, 2 and 3 h, respectively. Significant effects of time and temperature were detected at both temperature extremes (GLZ, p<0.05 in all cases) although a time-temperature interaction was only detected at high temperatures (p<0.0001). We synthesized data from four other Kenyan populations and found that upper critical thermal limits showed little variation among populations and laboratory treatments (range: 43.9-45.0 degrees C; 0.25 degrees C/min heating rate), although reduction to more ecologically relevant heating rates (0.06 degrees C/min) reduce these values significantly from approximately 44.4 to 40.6 degrees C, thereby providing a causal explanation for why tsetse distribution may be high-temperature limited. By contrast, low-temperature limits showed substantial variation among populations and acclimation treatments (range: 4.5-13.8 degrees C; 0.25 degrees C/min), indicating high levels of inter-population variability. Ecologically relevant cooling rates (0.06 degrees C/min) suggest tsetses are likely to experience chill coma temperatures under natural conditions (approximately 20-21 degrees C). The results from acute hardening experiments in the Zambian population demonstrate limited ability to improve low-temperature tolerance over short (hourly) timescales after non-lethal pre-treatments. In flies which survived chilling, recovery times were non-linear with plateaus between 2-6 and 8-12 degrees C. Survival times ranged between 4 and 36 h and did not vary between flies which had undergone chill coma by comparison with flies which had not, even after factoring body condition into the analyses (p>0.5 in all cases). However, flies with low chill coma values had the highest body water and fat content, indicating that when energy reserves are depleted, low-temperature tolerance may be compromised. Overall, these results suggest that physiological mechanisms may provide insight into tsetse population dynamics, hence distribution and abundance, and support a general prediction for reduced geographic distribution under future climate warming scenarios.

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Year:  2007        PMID: 17889900     DOI: 10.1016/j.jinsphys.2007.08.007

Source DB:  PubMed          Journal:  J Insect Physiol        ISSN: 0022-1910            Impact factor:   2.354


  41 in total

1.  Predicting the effect of climate change on African trypanosomiasis: integrating epidemiology with parasite and vector biology.

Authors:  Sean Moore; Sourya Shrestha; Kyle W Tomlinson; Holly Vuong
Journal:  J R Soc Interface       Date:  2011-11-09       Impact factor: 4.118

2.  Global analysis of thermal tolerance and latitude in ectotherms.

Authors:  Jennifer M Sunday; Amanda E Bates; Nicholas K Dulvy
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

3.  Paradoxical acclimation responses in the thermal performance of insect immunity.

Authors:  Laura V Ferguson; David E Heinrichs; Brent J Sinclair
Journal:  Oecologia       Date:  2016-02-05       Impact factor: 3.225

4.  Climate Change and Risk Projection: Dynamic Spatial Models of Tsetse and African Trypanosomiasis in Kenya.

Authors:  Joseph P Messina; Nathan J Moore; Mark H DeVisser; Paul F McCord; Edward D Walker
Journal:  Ann Assoc Am Geogr       Date:  2012

5.  Reestablishment of ion homeostasis during chill-coma recovery in the cricket Gryllus pennsylvanicus.

Authors:  Heath A MacMillan; Caroline M Williams; James F Staples; Brent J Sinclair
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

6.  Patterns of Genome-Wide Variation in Glossina fuscipes fuscipes Tsetse Flies from Uganda.

Authors:  Andrea Gloria-Soria; W Augustine Dunn; Erich L Telleria; Benjamin R Evans; Loyce Okedi; Richard Echodu; Wesley C Warren; Michael J Montague; Serap Aksoy; Adalgisa Caccone
Journal:  G3 (Bethesda)       Date:  2016-06-01       Impact factor: 3.154

7.  Critical thermal limits depend on methodological context.

Authors:  John S Terblanche; Jacques A Deere; Susana Clusella-Trullas; Charlene Janion; Steven L Chown
Journal:  Proc Biol Sci       Date:  2007-12-07       Impact factor: 5.349

8.  A landscape and climate data logistic model of tsetse distribution in Kenya.

Authors:  Nathan Moore; Joseph Messina
Journal:  PLoS One       Date:  2010-07-27       Impact factor: 3.240

Review 9.  Glossina fuscipes populations provide insights for human African trypanosomiasis transmission in Uganda.

Authors:  Serap Aksoy; Adalgisa Caccone; Alison P Galvani; Loyce M Okedi
Journal:  Trends Parasitol       Date:  2013-07-08

10.  Thermal tolerance of the coffee berry borer Hypothenemus hampei: predictions of climate change impact on a tropical insect pest.

Authors:  Juliana Jaramillo; Adenirin Chabi-Olaye; Charles Kamonjo; Alvaro Jaramillo; Fernando E Vega; Hans-Michael Poehling; Christian Borgemeister
Journal:  PLoS One       Date:  2009-08-03       Impact factor: 3.240

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