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Differential gene regulatory pathways and co-expression networks associated with fire blight infection in apple(Malus×domestica)

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摘要 Apple cultivars with durable resistance are needed for sustainable management of fire blight,the most destructive bacterial disease of apples.Although studies have identified genetic resistance to fire blight in both wild species and cultivated apples,more research is needed to understand the molecular mechanisms underlying host–pathogen interaction and differential genotypic responses to fire blight infection.We have analyzed phenotypic and transcriptional responses of‘Empire’and‘Gala’apple cultivars to fire blight by infecting them with a highly aggressive E.amylovora strain.Disease progress,based on the percentage of visual shoot necrosis,started showing significant(p<0.001)differences between‘Empire’and‘Gala’4 days after infection(dai).‘Empire’seems to slow down bacterial progress more rapidly after this point.We further compared transcriptome profiles of‘Empire’and‘Gala’at three different time points after fire blight infection.More genes showed differential expression in‘Gala’at earlier stages,but the number of differentially expressed genes increased in‘Empire’at 3 dai.Functional classes related to defense,cell cycle,response to stress,and biotic stress were identified and a few co-expression gene networks showed particular enrichment for plant defense and abiotic stress response genes.Several of these genes also co-localized in previously identified quantitative trait locus regions for fire blight resistance on linkage groups 7 and 12,and can serve as functional candidates for future research.These results highlight different molecular mechanisms for pathogen perception and control in two apple cultivars and will contribute toward better understanding of E.amylovora-Malus pathosystem.
出处 《Horticulture Research》 SCIE 2019年第1期1116-1128,共13页 园艺研究(英文)
基金 supported by the National Institute of Food&Agriculture,US Department of Agriculture,Hatch Federal Capacity Funds under 1011771 and by funding from the College of Agriculture&Life Sciences at Cornell University It was also partially supported with the grant from the US National Science Foundation(IOS-1546625).
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