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2020
DOI: 10.21203/rs.3.rs-29231/v2
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Transcriptome analysis reveals underlying immune response mechanism of fungal (Penicillium oxalicum) disease in Gastrodia elata Bl. f. glauca S. Chow (Orchidaceae)

Abstract: Background: Gastrodia elata Bl. f. glauca S. Chow is a medicinal plant. G. elata f. glauca is unavoidably infected by pathogens in their growth process. In previous work, we have successfully isolated and identified Penicillium oxalicum from fungal diseased tubers of G. elata f. glauca . As a widespread epidemic, this fungal disease seriously affected the yield and quality of G. elata f. glauca . We speculate that the healthy G. elata f. glauca might carry resistance genes , which can resist against fungal dis… Show more

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“…The unstable compatibility between strains from other areas and G. elata Bl. f. glauca affects its yield [28]. It is vital to isolate, identify and screen symbiotic Armillaria, which is beneficial to the growth of G. elata Bl.…”
Section: Introductionmentioning
confidence: 99%
“…The unstable compatibility between strains from other areas and G. elata Bl. f. glauca affects its yield [28]. It is vital to isolate, identify and screen symbiotic Armillaria, which is beneficial to the growth of G. elata Bl.…”
Section: Introductionmentioning
confidence: 99%
“…Transcriptomics has been used to find key genes in recent years, proteins or metabolites related to resistance in plants, and findings have revealed new methods of studying the molecular mechanisms plants response to pathogen infection and resistance breeding [25]. Using comparative transcriptomics, many DEGs related to disease resistance have been identified in different species, such as gerbera [26], gastrodia [27] and cucumber [28]. In addition, transcriptomics has also been used to identify powdery mildew resistance genes in other gramineous plants, including maize [29], wheat [30] and barley [31], as well as key genes and metabolic pathways of plant responses to pathogen infection, thus providing a theoretical basis for revealing the mechanism underlying plants disease resistance response.…”
Section: Introductionmentioning
confidence: 99%