Literature DB >> 10232780

Temperature and relative humidity affect the selection of shelters by Triatoma infestans, vector of Chagas disease.

M G Lorenzo1, C R Lazzari.   

Abstract

The preference of Triatoma infestans for shelters at different temperatures or relative humidities (RH) was tested in laboratory assays. The insects preferred refuges at a temperature of 34 degrees C rather than 26 degrees C, and chose to stay in refuges with an RH of 20% rather than 80%. Temperature and RH records made inside and outside experimental chicken-houses under natural climatic conditions showed that such habitats tend to maintain an inner climate favourable to T. infestans. Typical refuges in adobe walls showed strongly damped fluctuations in minimum and maximum temperatures, and delayed changes in these parameters when compared with an external reference. Similarly, the jarilla (Larrea sp.), a plant used for constructing roofing, damps fluctuations in minimum and maximum RH and delays these RH fluctuations when compared to an external reference. We discuss possible effects of environmental factors on the distribution of insects in human dwellings, and analyse the environmental characteristics of normally available refuges in materials used for house building in endemic zones.

Entities:  

Mesh:

Year:  1999        PMID: 10232780     DOI: 10.1016/s0001-706x(98)00094-1

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  16 in total

1.  Amplification of individual preferences in a social context: the case of wall-following in ants.

Authors:  Audrey Dussutour; Jean-Louis Deneubourg; Vincent Fourcassié
Journal:  Proc Biol Sci       Date:  2005-04-07       Impact factor: 5.349

2.  Physiological Diversity in Insects: Ecological and Evolutionary Contexts.

Authors:  Steven L Chown; John S Terblanche
Journal:  Adv In Insect Phys       Date:  2006       Impact factor: 3.364

Review 3.  Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment.

Authors:  Tim K Mackey; Bryan A Liang; Raphael Cuomo; Ryan Hafen; Kimberly C Brouwer; Daniel E Lee
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

4.  Ecological niche modelling in triatomines-abusus non tollit usum: a reply to Gutiérrez (2016).

Authors:  Jorge Rabinovich
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-07-19       Impact factor: 6.237

5.  Using eco-physiological traits to understand the realized niche: the role of desiccation tolerance in Chagas disease vectors.

Authors:  Gerardo J de la Vega; Pablo E Schilman
Journal:  Oecologia       Date:  2017-10-24       Impact factor: 3.225

6.  Lack of segregation between two species of Chagas disease vectors.

Authors:  Theo Mota; Marcelo Gustavo Lorenzo
Journal:  Am J Trop Med Hyg       Date:  2012-07       Impact factor: 2.345

7.  The ecological foundations of transmission potential and vector-borne disease in urban landscapes.

Authors:  Shannon L LaDeau; Brian F Allan; Paul T Leisnham; Michael Z Levy
Journal:  Funct Ecol       Date:  2015-06-19       Impact factor: 5.608

Review 8.  A review of data on laboratory colonies of bed bugs (Cimicidae), an insect of emerging medical relevance.

Authors:  Arnaud Cannet; Mohammad Akhoundi; Jean-Michel Berenger; Gregory Michel; Pierre Marty; Pascal Delaunay
Journal:  Parasite       Date:  2015-06-19       Impact factor: 3.000

9.  A multi-species bait for Chagas disease vectors.

Authors:  Theo Mota; Ana C R Vitta; Alicia N Lorenzo-Figueiras; Carla P Barezani; Carlos L Zani; Claudio R Lazzari; Liléia Diotaiuti; Lynne Jeffares; Björn Bohman; Marcelo G Lorenzo
Journal:  PLoS Negl Trop Dis       Date:  2014-02-27

Review 10.  Genetic basis of triatomine behavior: lessons from available insect genomes.

Authors:  Jose Manuel Latorre-Estivalis; Claudio Ricardo Lazzari; Alessandra Aparecida Guarneri; Theo Mota; Bonaventure Aman Omondi; Marcelo Gustavo Lorenzo
Journal:  Mem Inst Oswaldo Cruz       Date:  2013       Impact factor: 2.743

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