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miR-2765 Modulates the Seasonal Polyphenism in Cacopsylla chinensis by Targeting a Novel Cold Rreceptor CcTRPC3 .

Jianying LiDongyue ZhangZhixian ZhangShili MengBo WangZhen LiXiaoxia LiuSong-Dou Zhang
Published in: Journal of agricultural and food chemistry (2023)
Polyphenism is a beneficial way in organisms to better cope with changing circumstances and is a hot topic in entomology, evolutionary biology, and ecology. Until now, this phenomenon has been proven to be season-, density-, and diet-dependent; however, there are very few reports on temperature regulation. Cacopsylla chinensis showed seasonal polyphenism, namely as summer- and winter-form, with obvious diversity in phenotypic characteristics in response to seasonal variation. Previous studies have found that low temperature in autumn is an extremely important element in inducing summer-form change to winter-form, but the underlying regulatory mechanism is still a mystery. Herein, we provided the initial evidence that the third instar of the summer-form is the critical period for developing to the winter-form, and 10 °C induces this transition by affecting the total pigment, chitin level, and thickness of the cuticle. Second, CcTPRC3 was proven to function as a novel cold receptor to control this seasonal polyphenism. Moreover, miR-2765 was found to mediate seasonal polyphenism by inhibiting CcTRPC3 expression. Last, we found that cuticle binding proteins CcCPR4 and CcCPR9 function as the downstream signals of CcTRPC3 to regulate the seasonal polyphenism in C. chinensis . In conclusion, our results displayed a novel signal pathway of miR-2765 and CcTRPC3 for the regulation of seasonal polyphenism in C. chinensis . These findings provide insights into the comprehensive analysis of insect polyphenism and are useful in developing potential strategies to block the phase transition for the pest control of C. chinensis .
Keyphrases
  • cell proliferation
  • long non coding rna
  • poor prognosis
  • long noncoding rna
  • heat stress
  • physical activity
  • climate change
  • transcription factor
  • optical coherence tomography
  • weight loss
  • zika virus