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Peanut Resistance Gene Expression in Response to A spergillus flavus Infection During Seed Germination
Author(s) -
Zhang Huili,
Scharfenstein Leslie,
Zhang Dunhua,
Chang PerngKuang,
Montalbano Beverly G.,
Guo Baozhu,
Meng Xianjun,
Yu Jiujiang
Publication year - 2015
Publication title -
journal of phytopathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 60
eISSN - 1439-0434
pISSN - 0931-1785
DOI - 10.1111/jph.12311
Subject(s) - aspergillus flavus , biology , aflatoxin , germination , gene , germplasm , gene expression , aspergillus , inoculation , botany , genetics , microbiology and biotechnology , horticulture
Aspergillus flavus produces potent mutagenic and carcinogenic polyketide‐derived secondary metabolites known as aflatoxins. Development of host plant resistance in peanut and other crops is the most environmentally friendly and cost‐effective method to eliminate the serious problem of aflatoxin contamination in grains. To confirm that putative peanut genes identified in a previous microarray study were involved in peanut resistance to A. flavus infection, 14 genes were selected for further investigation through real‐time PCR . The results revealed diverse patterns of gene expression during seed germination after A. flavus inoculation. Based on the expression levels and the relative‐expression patterns over a 7‐day period, the 14 host genes could be classified into six different groups belonging to three main biochemical and genetic defence processes of lipid metabolism, oxidative signalling and cell‐wall synthesis during counter‐attack. A network of gene expression patterns was activated in sequential order in response to A. flavus invasion in both resistant and susceptible peanut lines during seed germination. Understanding gene expression patterns in peanut will be useful to breeders and other scientists interested in incorporating genetic resources of resistance against A. flavus into peanut germplasm and/or commercial cultivars via conventional and/or molecular methods.

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