Efficiency of Effective Microorganisms (EM) to Induce Resistance against Chocolate Spot Disease and Enhance Productivity of Faba Bean under Reclaimed Soil Conditions

El-Hadidy, Abeer; El-Ati, A. A. Abd

doi:10.21608/ejp.2014.96742

Cited by 2 publications

(1 citation statement)

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“…Primary and secondary metabolites compose a complex metabolic network in plants. Secondary metabolites can be used as biochemical barriers to resist pathogen invasion and can also be used as signal substances to participate in the transduction of plant-disease resistance response (Escobedo-Martínez et al, 2010;El-Hadidy and El-Ati, 2014). Secondary metabolites that are involved in the plant disease resistance process mainly include lignin, callose, and peroxidase (Luna et al, 2011;Schmelz et al, 2011;Ahuja et al, 2012;Sattler and Funnell-Harris, 2013;Yamane, 2013).…”

Section: Introductionmentioning

confidence: 99%

Metabolome and Microbiome Signatures in the Leaves of Wild Tea Plant Resources Resistant to Pestalotiopsis theae

Zhang

Chang-yu

et al. 2022

Front. Microbiol.

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Tea (Camellia sinensis) is an important crop that is mainly used in the food industry. This study using the metabolome and microbiome investigates the resistance factors of wild tea plant resources against tea gray blight disease, which is caused by Pestalotiopsis theae (Sawada) Steyaert. According to the interaction analysis of tea leaves and pathogenic fungus, the resistance of wild tea plant resource “R1” (Resistance 1) to tea gray blight disease was significantly higher than that of wild tea plant resource “S1” (Susceptibility 1). The difference between “R1” and “S1” in the metabolome was obvious. There were 145 metabolites that significantly changed. The phenolic acids and flavonoids were the major increased categories in “R1,” and it included 4-O-glucosyl-sinapate and petunidin-3-o-(6”-o-p-coumaroyl) rutinoside. Six metabolic pathways were significantly enriched, including aminoacyl-tRNA biosynthesis, flavone, and flavonol biosynthesis. In terms of bacteria, there was no significant difference between “S1” and “R1” in the principal component analysis (PCA). Pseudomonas was the major bacterial genus in “S1” and “R1.” In addition, each of the two resources had its own predominant genus: Cellvibirio was a predominant bacterial genus in “S1” and Candidatus_competibacter was a predominant bacterial genus in “R1.” In terms of fungi, the fungal diversity and the abundance of the two tea plant resource samples could be distinguished clearly. The fungal component of “S1” was more abundant than that of “R1” at the genus level. Toxicocladosporium was the predominant fungal genus of “S1,” and Filobasidium was the predominant fungal genus of “R1.” The relative abundance of unclassified-norank-norank-Chloroplast and Penicillium were significantly different between “S1” and “R1.” Penicillium was identified as a potential biomarker. They correlated with some metabolites enriched in “S1” or “R1,” such as L-arginine and quercetin-3-o-(2”-o-rhamnosyl) rutinoside-7-o-glucoside. Overall, phenolic acids, flavonoids, and Penicillium could be functional metabolites or microorganisms that contributed to improving the resistance of wild tea plant resources to tea gray blight disease.

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