Abstract
Polygonum cuspidatum is a traditional medicinal plant enriched with resveratrol and polydatin. However, low temperatures reduce the medicinal component contents of P. cuspidatum, and prolonged low temperatures also affect the growth and survival of P. cuspidatum at the seedling stage. It is unclear whether a culturable endophytic fungus Serendipita indica is able to enhance P. cuspidatum’s low-temperature tolerance and medicinal components. The objective of this study was to examine the biomass, leaf gas exchange, antioxidant enzyme activity, proline levels, medicinal constituent levels, and the expression of the resveratrol synthase (PcRS) and resveratrol-forming stilbene synthase 11 (PcRS11) genes of potted P. cuspidatum plants inoculated with S. indica at low temperatures (10 °C/6 °C, 12 h/12 h, day/night temperature). The six-week low-temperature treatment significantly reduced the root fungal colonization, biomass production, and leaf gas exchange variables, whereas S. indica inoculation significantly increased shoot and root biomass, photosynthetic rate, stomatal conductance, and transpiration rate at low temperatures. S. indica inoculation significantly increased superoxide dismutase and catalase activity as well as proline levels in leaves at low temperatures. The magnitude of root chrysophanol, emodin, polydatin, and resveratrol levels decreased by low temperatures was greater in uninoculated plants than in inoculated plants. Inoculation of S. indica, on the other hand, significantly increased the four medicinal component levels in roots at low temperatures, with a greater magnitude rise in chrysophanol, polydatin, and resveratrol at low temperatures than at suitable temperatures. The low-temperature treatment down-regulated the expression of PcRS and PcRS11 genes in roots, while S. indica up-regulated the expression of PcRS and PcRS11 genes at low temperatures. This implies that S. indica acts as a powerful microbial stimulant on P. cuspidatum to promote low-temperature resistance and medicinal component levels.
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