Heat shock-induced apoptosis in germ line cells of Triatoma infestans Klug

Mello, Maria Luiza S.; Maria, Silvya Stuchi; Tavares, Maria Cristina H.

doi:10.1590/s1415-47572000000200011

“…infestans was not affected by any of the exposure times tested at 40°C. However, it could affect other physiological traits that were not measured like the germinal cells [ 47 ]. In addition, a survival reduction was observed after 8 or more hours of exposure at 42°C or 4 or more hours of exposure at 44°C.…”

Section: Discussionmentioning

confidence: 99%

Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae)

Rabinovich

¹

,

Costa

²

,

Muñoz

³

et al. 2021

View full text Add to dashboard Cite

Species Distribution Modelling (SDM) determines habitat suitability of a species across geographic areas using macro-climatic variables; however, micro-habitats can buffer or exacerbate the influence of macro-climatic variables, requiring links between physiology and species persistence. Experimental approaches linking species physiology to micro-climate are complex, time consuming and expensive. E.g., what combination of exposure time and temperature is important for a species thermal tolerance is difficult to judge a priori. We tackled this problem using an active learning approach that utilized machine learning methods to guide thermal tolerance experimental design for three kissing-bug species: Triatoma infestans, Rhodnius prolixus, and Panstrongylus megistus (Hemiptera: Reduviidae: Triatominae), vectors of the parasite causing Chagas disease. As with other pathogen vectors, triatomines are well known to utilize micro-habitats and the associated shift in microclimate to enhance survival. Using a limited literature-collected dataset, our approach showed that temperature followed by exposure time were the strongest predictors of mortality; species played a minor role, and life stage was the least important. Further, we identified complex but biologically plausible nonlinear interactions between temperature and exposure time in shaping mortality, together setting the potential thermal limits of triatomines. The results from this data led to the design of new experiments with laboratory results that produced novel insights of the effects of temperature and exposure for the triatomines. These results, in turn, can be used to better model micro-climatic envelope for the species. Here we demonstrate the power of an active learning approach to explore experimental space to design laboratory studies testing species thermal limits. Our analytical pipeline can be easily adapted to other systems and we provide code to allow practitioners to perform similar analyses. Not only does our approach have the potential to save time and money: it can also increase our understanding of the links between species physiology and climate, a topic of increasing ecological importance.

show abstract

“…15 Perez and others, 16 reported that in some cases fifth instar nymph have mature gonads. Mello and collaborators, 17 analyzed fifth instar nymph of Triatoma infestans and observed the presence of spermatogonia, spermatocytes (metaphase), spermatids, and sperms. However, during imaginal molt of T. brasiliensis there are only a few spermatids and a plentiful quantity of sperm were observed, and we suggest that during imaginal molt, the cell division is disrupted aiming to reduce energy costs, and the differentiation into sperm is stimulated to ensure the paternity of the adult male.…”

Section: -8mentioning

confidence: 99%

Reproductive Biology of Triatoma brasiliensis (Hemiptera, Triatominae) During the Imaginal Molt

Alevi

¹

,

Guerra

²

,

Imperador

³

et al. 2016

The American Journal of Tropical Medicine and Hygiene

View full text Add to dashboard Cite

Abstract. The triatomines are vectors of the protozoan Trypanosoma cruzi, etiologic agent of Chagas disease. These insects are sexually active after the imaginal molt. Some aspects have been studied in Triatoma brasiliensis during the imaginal molt, such as autogeny in virgin females and the relationship between blood ingestion by fifth instar nymph and the realization of the imaginal molt. Thus, to aid in the understanding of reproductive biology and developmental physiology of these vectors, this article analyzes the spermatogenesis of T. brasiliensis during the imaginal molt. The analysis of the seminiferous tubules from males in the fifth instar during imaginal molt has demonstrated that T. brasiliensis has only a few spermatids and a plentiful quantity of sperm. Thus, we suggest that during imaginal molt the cell division is disrupted aiming to reduce energy costs and the differentiation into sperm is stimulated to ensure the paternity of the adult male.

show abstract

Machine-learning model led design to experimentally test species thermal limits: the case of kissing bugs (Triatominae)

Rabinovich

¹

,

Costa

²

,

Muñoz

³

et al. 2020

Preprint

View full text Add to dashboard Cite

Species Distribution Modelling (SDM) determines habitat suitability of a species across geographic areas using macro-climatic variables; however, micro-habitats can buffer or exacerbate the influence of macro-climatic variables, requiring links between physiology and species persistence. Experimental approaches linking species physiology to micro-climate are complex, time consuming and expensive. E.g., what combination of exposure time and temperature is important for a species thermal tolerance is difficult to judge a priori. We tackled this problem using an active learning approach that utilized machine learning methods to guide thermal tolerance experimental design for three kissing-bug species (Hemiptera: Reduviidae: Triatominae), vectors of the parasite causing Chagas disease. As with other pathogen vectors, triatomines are well known to utilize micro-habitats and the associated shift in microclimate to enhance survival. Using a limited literature-collected dataset, our approach showed that temperature followed by exposure time were the strongest predictors of mortality; species played a minor role, and life stage was the least important. Further, we identified complex but biologically plausible nonlinear interactions between temperature and exposure time in shaping mortality, together setting the potential thermal limits of triatomines. The results from this data led to the design of new experiments with laboratory results that produced novel insights of the effects of temperature and exposure for the triatomines. These results, in turn, can be used to better model micro-climatic envelope for the species. Here we demonstrate the power of an active learning approach to explore experimental space to design laboratory studies testing species thermal limits. Our analytical pipeline can be easily adapted to other systems and we provide code to allow practitioners to perform similar analyses. Not only does our approach have the potential to save time and money: it can also increase our understanding of the links between species physiology and climate, a topic of increasing ecological importance.Author summarySpecies Distribution Modelling determines habitat suitability of a species across geographic areas using macro-climatic variables; however, micro-habitats can buffer or exacerbate the influence of macro-climatic variables, requiring links between physiology and species persistence. We tackled the problem of the combination of exposure time and temperature (a combination difficult to judge a priori) in determining species thermal tolerance, using an active learning approach that utilized machine learning methods to guide thermal tolerance experimental design for three kissing-bug species, vectors of the parasite causing Chagas disease. These bugs are found in micro-habitats with associated shifts in microclimate to enhance survival. Using a limited literature-collected dataset, we showed that temperature followed by exposure time were the strongest predictors of mortality, that species played a minor role, that life stage was the least important, and a complex nonlinear interaction between temperature and exposure time in shaping mortality of kissing bugs. These results led to the design of new laboratory experiments to assess the effects of temperature and exposure for the triatomines. These results can be used to better model micro-climatic envelope for species. Our active learning approach to explore experimental space to design laboratory studies can also be applied to other environmental conditions or species.

show abstract

Heat shock-induced apoptosis in germ line cells of Triatoma infestans Klug

Cited by 3 publications

References 6 publications

Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae)

Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae)

Reproductive Biology of Triatoma brasiliensis (Hemiptera, Triatominae) During the Imaginal Molt

Machine-learning model led design to experimentally test species thermal limits: the case of kissing bugs (Triatominae)

Contact Info

Product

Resources

About