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Redox sensor QSOX1 regulates plant immunity by targeting GSNOR to modulate ROS generation 被引量:1
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作者 Ho Byoung Chae Min Gab Kim +12 位作者 Chang Ho Kang Joung Hun Park Eun Seon Lee Sang-Uk Lee Yong Hun Chi Seol Ki Paeng Su Bin Bae Seong Dong Wi Byung-Wook Yun Woe-Yeon Kim Dae-Jin Yun david mackey Sang Yeol Lee 《Molecular Plant》 SCIE CAS CSCD 2021年第8期1312-1327,共16页
Reactive oxygen signaling regulates numerous biological processes,including stress responses in plants.Redox sensors transduce reactive oxygen signals into cellular responses.Here,we present biochemical evidence that ... Reactive oxygen signaling regulates numerous biological processes,including stress responses in plants.Redox sensors transduce reactive oxygen signals into cellular responses.Here,we present biochemical evidence that a plant quiescin sulfhydryl oxidase homolog(QSOX1)is a redox sensor that negatively regulates plant immunity against a bacterial pathogen.The expression level of QSOX1 is inversely correlated with pathogen-induced reactive oxygen species(ROS)accumulation.Interestingly,QSOX1 both senses and regulates ROS levels by interactingn with and mediating redox regulation of S-nitrosoglutathione reductase,which,consistent with previous findings,influences reactive nitrogen-mediated regulation of ROS generation.Collectively,our data indicate that QSOX1 is a redox sensorthat negatively regulates plant immunity by linking reactive oxygen and reactive nitrogen signaling to limit ROS production. 展开更多
关键词 redox sensor plant immu nity QSOX1 GSNOR reactive oxygen species(ROS) reactive nitrogen species(RNS)
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Identifcation of Immunity-related Genes in Arabidopsis and Cassava Using Genomic Data
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作者 Luis Guillermo Leal A'lvaro Perez +6 位作者 Andre's Quintero A'ngela Bayona Juan Felipe Ortiz Anju Gangadharan david mackey Camilo Lo'pez Liliana Lo'pez-Kleine 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2013年第6期345-353,共9页
Recent advances in genomic and post-genomic technologies have provided the opportu- nity to generate a previously unimaginable amount of information. However, biological knowledge is still needed to improve the unders... Recent advances in genomic and post-genomic technologies have provided the opportu- nity to generate a previously unimaginable amount of information. However, biological knowledge is still needed to improve the understanding of complex mechanisms such as plant immune responses. Better knowledge of this process could improve crop production and management. Here, we used holistic analysis to combine our own microarray and RNA-seq data with public genomic data from Arabidopsis and cassava in order to acquire biological knowledge about the relationships between proteins encoded by immunity-related genes (IRGs) and other genes. This approach was based on a kernel method adapted for the construction of gene networks. The obtained results allowed us to propose a list of new IRGs. A putative function in the immunity pathway was predicted for the new IRGs. The analysis of networks revealed that our predicted IRGs are either well documented or recognized in previous co-expression studies. In addition to robust relationships between IRGs, there is evidence suggesting that other cellular processes may be also strongly related to immunity. 展开更多
关键词 ARABIDOPSIS CASSAVA Functional gene prediction Genomic data Kernel canonical correlation ajalysi Plant immunity
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