Overexpression of small heat shock protein 21 protects the Chinese oak silkworm Antheraea pernyi against thermal stress

Liu, Qiu-Ning; Zhu, Bing; Dai, Li-Shang; Fu, Weiwei; Lin, Kun-Zhang; Liu, Chao-Liang

doi:10.1016/j.jinsphys.2013.06.001

Cited by 46 publications

(25 citation statements)

References 58 publications

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“…Similar results were also observed in C. suppressalis (Cui et al, 2011) and S. litura (Shen et al, 2014) upon exposure to high temperatures. Indeed, as seen in different insects, small Hsp and other Hsps, such as Hsp90 and Hsp60, were enhanced against thermal stress (Huang and Kang, 2007;Liu et al, 2013;Shen et al, 2014). Here with B. dorsalis, one of the Hsp70s (2614) is an inducible protein by low temperature, suggesting a specific function in the adaptation to extreme low temperatures.…”

Section: Discussionmentioning

confidence: 70%

Comparative proteomic analysis of Bactrocera dorsalis (Hendel) in response to thermal stress

Wei

Tian

et al. 2015

Journal of Insect Physiology

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Section: Discussionmentioning

confidence: 70%

Comparative proteomic analysis of Bactrocera dorsalis (Hendel) in response to thermal stress

Wei

Tian

et al. 2015

Journal of Insect Physiology

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“…Nucleotide sequence analysis revealed that Pi14-3-3z contains a 141 bp 5 0 -untranslated sequence, an open reading frame (ORF) of 744 bp, and a 497 bp 3 0 -untranslated region. A putative polyadenylation signal 'AATAAA' was found at the upstream of the poly A in other insects (Liu et al, 2011a(Liu et al, , 2011b(Liu et al, , 2013b, however, a putative polyadenylation signal was not observed in P. interpunctella (Fig. S1).…”

Section: Cloning and Sequence Analysis Of Pi14-3-3z Genementioning

confidence: 92%

Molecular characterization of a 14-3-3 zeta gene from Plodia interpunctella: A potential marker for phylogenetic inference

Liu

Bian

et al. 2015

Biochemical Systematics and Ecology

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“…Demographic rates determine the temporal and spatial dynamics of a population (Benton et al 2006, Miller-Rushing et al 2010, Schurr et al 2012, Lynch et al 2014, interspecific interactions (Sentis et al 2013, Ma et al 2015b, and even the structure and functioning of ecosystem (Lloret et al 2012, de Mazancourt et al 2013. Importantly, demographic shifts are also the product of complex changes in physiological, biochemical (Hahn and Denlinger 2007, Karl et al 2008, Zhang et al 2016) and molecular mechanisms that determine individual growth, development, reproduction, survival and even the stress tolerances (Rinehart et al 2007, Koštál and Tollarová-Borovanská 2009, Liu et al 2013). In addition, demographic responses impact the speed and direction of evolutionary trajectories (Lande 1988) and are thus critically important for understanding the evolutionary response of organisms to rapid environmental shifts (Metcalf and Pavard 2007, Richard and David 2009, Hoffmann and Sgrò 2011.…”

Section: Introductionmentioning

confidence: 99%

Resolving biological impacts of multiple heat waves: interaction of hot and recovery days

Wang

Zhang

et al. 2018

Oikos

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Heat waves are increasing with global warming and have more dramatic biological effects on organisms in natural and agricultural ecosystems than mean temperature increase. However, predicting the impact of future heat waves on organisms and ecosystems is challenging because we still have a limited understanding of how the different components that characterize heat waves interact. Here we take an experimental approach to examine the individual and combine consequences of two important features that characterize heat waves: duration of successive hot days and recovery days between two hot spells. Specifically we exposed individuals of a global agricultural pest, the aphid Sitobion avenae to different heat wave scenarios by factorially manipulating the number of extreme hot days versus normal days and altered which period individuals experienced first in their life cycle. We found that effects of heat waves were driven by a delicate balance of damage during hot periods versus repair during normal periods. Increasing the duration of hot days in heat waves had a negative effect on various demographic rates and life‐time fitness of individuals, but magnitude of this effect was typically contingent on the temporal clustering of hot periods. Importantly, this interaction effect indicates that changes in the temporal distribution of extreme hot versus normal days can strongly alter the performance of organisms and dynamics of populations even when the total number of hot days during a given period remains unchanged. Together, these results emphasize the importance of accounting for the temporal distribution and quantitative patterns of extreme temperature events for predicting their consequences of natural and agricultural ecosystems.

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Overexpression of small heat shock protein 21 protects the Chinese oak silkworm Antheraea pernyi against thermal stress

Cited by 46 publications

References 58 publications

Comparative proteomic analysis of Bactrocera dorsalis (Hendel) in response to thermal stress

Comparative proteomic analysis of Bactrocera dorsalis (Hendel) in response to thermal stress

Molecular characterization of a 14-3-3 zeta gene from Plodia interpunctella: A potential marker for phylogenetic inference

Resolving biological impacts of multiple heat waves: interaction of hot and recovery days

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