Koch Kyle G, Chapman Kaitlin, Louis Joe, Heng-Moss Tiffany, Sarath Gautam
Department of Entomology, University of Nebraska-Lincoln, Lincoln NE, USA.
Department of Entomology, University of Nebraska-Lincoln, LincolnNE, USA; Department of Biochemistry, University of Nebraska-Lincoln, LincolnNE, USA.
Front Plant Sci. 2016 Sep 13;7:1363. doi: 10.3389/fpls.2016.01363. eCollection 2016.
Plant tolerance to insect pests has been indicated to be a unique category of resistance, however, very little information is available on the mechanism of tolerance against insect pests. Tolerance is distinctive in terms of the plant's ability to withstand or recover from herbivore injury through growth and compensatory physiological processes. Because plant tolerance involves plant compensatory characteristics, the plant is able to harbor large numbers of herbivores without interfering with the insect pest's physiology or behavior. Some studies have observed that tolerant plants can compensate photosynthetically by avoiding feedback inhibition and impaired electron flow through photosystem II that occurs as a result of insect feeding. Similarly, the up-regulation of peroxidases and other oxidative enzymes during insect feeding, in conjunction with elevated levels of phytohormones can play an important role in providing plant tolerance to insect pests. Hemipteran insects comprise some of the most economically important plant pests (e.g., aphids, whiteflies), due to their ability to achieve high population growth and their potential to transmit plant viruses. In this review, results from studies on plant tolerance to hemipterans are summarized, and potential models to understand tolerance are presented.
植物对害虫的耐受性已被证明是一种独特的抗性类型,然而,关于植物对害虫耐受性的机制,目前所知甚少。耐受性在植物通过生长和补偿性生理过程来抵御食草动物伤害或从中恢复的能力方面具有独特性。由于植物耐受性涉及植物的补偿特性,植物能够容纳大量食草动物,而不会干扰害虫的生理或行为。一些研究观察到,耐受性植物可以通过避免反馈抑制以及昆虫取食导致的通过光系统II的电子流受损来进行光合补偿。同样,昆虫取食期间过氧化物酶和其他氧化酶的上调,以及植物激素水平的升高,在赋予植物对害虫的耐受性方面可以发挥重要作用。半翅目昆虫包括一些经济上最重要的植物害虫(如蚜虫、粉虱),因为它们能够实现高种群增长,并且有传播植物病毒的潜力。在这篇综述中,总结了关于植物对半翅目昆虫耐受性的研究结果,并提出了理解耐受性的潜在模型。