Fluctuating environments impact thermal tolerance in an invasive insect species <i>Bactrocera dorsalis</i> (Diptera: Tephritidae)

Mutamiswa, Reyard; Tarusikirwa, Vimbai L.; Nyamukondiwa, Casper; Chidawanyika, Frank

doi:10.1111/jen.12795

Cited by 19 publications

(16 citation statements)

References 66 publications

(122 reference statements)

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“…Lastly, our methodology opens up further opportunities to model population dynamics based upon the responses to micro-climatic environments (as [ 49 ] have done for in a tephritid fly Bactrocera dorsalis ). The effects of temperature and exposure on other demographic parameters like development time and fecundity in order to estimate the thermal effects on the population growth rate are reasonably understood.…”

Section: Discussionmentioning

confidence: 99%

“…The effects of temperature and exposure on other demographic parameters like development time and fecundity in order to estimate the thermal effects on the population growth rate are reasonably understood. Under laboratory conditions daily temperature fluctuations (DTF) did not affect development time and fertility for Rhodnius prolixus [ 49 ]. However, fecundity was lower in females reared at DTF than at constant temperature, and males had higher body mass reduction rate and lower survival in the DTF regime, suggesting higher costs associated to fluctuating thermal environments [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2021

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

et al. 2021

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“…The trade of agricultural products requires licenses certifying their nonnegative effect on the society and environment of the destination country (Rosselkhoznadzor). Sanitary and phytosanitary measures defined by the Russian plant protection organization as requirements for the import of citrus fruits set the minimum quality standards which the export countries need to respect to reach the Russian citrus market (Mutamiswa et al 2020 ).…”

Section: Research Backgroundmentioning

confidence: 99%

Applying the Delphi and fuzzy DEMATEL methods for identification and prioritization of the variables affecting Iranian citrus exports to Russia

2022

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Foreign trade is one of the important components in economic development and a source of foreign exchange earnings. In Iran, the government desires to develop foreign trade with a focus on non-oil exports. One of the substantial non-oil products is agricultural products. Iran is one of the top ten countries in the world in terms of producing agricultural products, especially citrus, but it does not have suitable conditions in terms of exports. Mazandaran province is a considerable source of citrus production in Iran, and the main produced citrus in the province is exported to Russia. Worth bearing in mind that although the production rate of citrus in the province is very well, the amount of export is not very appropriate. Therefore, the government struggles to adopt an appropriate approach to improve the conditions and taking the right approach is not possible without identifying the variables affecting exports. In this regard, in this study, first, the variables affecting citrus exports regarding the case are determined using literature review and the most related those to the case study are selected using the Delphi method. Then, the identified variables are ranked using the fuzzy DEMATEL method. Focusing on the results, it can be observed that “exchange rate fluctuation” and “marketing” have the most and the least impact on the development of citrus exports from the province to Russia, respectively. Moreover, to better analyze the gained results, the determined variables are divided into two main categories based on stages of trade, and each category’s variables are discussed in detail.

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“…Epigenetic signature of invasiveness in B. dorsalis B. dorsalis has a strong invasion ability, with underlying physiological, morphological and behavioral mechanisms facilitating its expansion to new environments (Gu et al, 2019;Mutamiswa et al, 2020;Pieterse et al, 2017), consisting of a key component of the invasiveness in this species (Froerer et al, 2010;Liang et al, 2001). In this study, in consistent with stronger flight capability in B. dorsalis (Chen et al, 2015;Lane et al, 2014), we found more genes involved in flight capacity were modified by histone modifications inB.…”

Section: Conserved Patterns Of H3k4me3 and H3k27me3 Between B Dorsali...mentioning

confidence: 99%

Epigenetic signature of invasiveness: ChIP-seq profiling of H3K4me3 and H3K27me3 in an invasive insect

Yan

Wu³

et al. 2022

Preprint

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While it has been suggested that histone modification can facilitate animal responses to rapidly changing environments, few studies have profiled whole-genome histone modification patterns in introduced species, leaving its role in invasiveness unclear. Here, we screen genome-wide patterns of two important histone modifications, trimethylated Histone H3 Lysine 4 (H3K4me3) and trimethylated Histone H3 Lysine 27 (H3K27me3), in adult thorax muscles of a notorious invasive pest, the Oriental fruit fly Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), using Chromatin Immunoprecipitation with high-throughput sequencing (ChIP-seq). We identified active, repressed and poised promoters, featured by the occupancy of H3K4me3, H3K27me3 and bivalent histone modifications that were respectively annotated with unique genes key to muscle development and structure maintenance. In addition, we found H3K27me3 occupied the entire body of genes, with the average enrichment was almost constant. When comparing to the closely related indigenous Drosophila species, while we found highly conserved histone modifications patterns of distribution and function between the two species, we identified more genes and putative motifs modified by histone modifications that may regulate insect flight capacity and invasiveness compared to D. melanogaster. These findings provide the first evidence of histone modification signature in an invasive species, and will be useful for future studies of epigenetic regulation of invasiveness under global climate change.

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Fluctuating environments impact thermal tolerance in an invasive insect species Bactrocera dorsalis (Diptera: Tephritidae)

Cited by 19 publications

References 66 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)

Applying the Delphi and fuzzy DEMATEL methods for identification and prioritization of the variables affecting Iranian citrus exports to Russia

Epigenetic signature of invasiveness: ChIP-seq profiling of H3K4me3 and H3K27me3 in an invasive insect

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