Antagonism between phytohormone signalling underlies the variation in disease susceptibility of tomato plants under elevated CO2.
Antagonism between phytohormone signalling underlies the variation in disease susceptibility of tomato plants under elevated CO2.
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植物激素信号之间的拮抗是二氧化碳升高下番茄植株疾病易感性变化的基础。
DOI:
10.1093/jxb/eru538
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发表时间:
2015-04
影响因子:
6.9
通讯作者:
Shi K
中科院分区:
文献类型:
--
作者:
Zhang S;Li X;Sun Z;Shao S;Hu L;Ye M;Zhou Y;Xia X;Yu J;Shi K
Under elevated CO2, interactions between tomato and pathogens with different infection strategies were compared. This work highlights modulated SA/JA cross talk contributes to variation in disease susceptibility under elevated CO2. Increasing CO2 concentrations ([CO2]) have the potential to disrupt plant–pathogen interactions in natural and agricultural ecosystems, but the research in this area has often produced conflicting results. Variations in phytohormone salicylic acid (SA) and jasmonic acid (JA) signalling could be associated with variations in the responses of pathogens to plants grown under elevated [CO2]. In this study, interactions between tomato plants and three pathogens with different infection strategies were compared. Elevated [CO2] generally favoured SA biosynthesis and signalling but repressed the JA pathway. The exposure of plants to elevated [CO2] revealed a lower incidence and severity of disease caused by tobacco mosaic virus (TMV) and by Pseudomonas syringae, whereas plant susceptibility to necrotrophic Botrytis cinerea increased. The elevated [CO2]-induced and basal resistance to TMV and P. syringae were completely abolished in plants in which the SA signalling pathway nonexpressor of pathogenesis-related genes 1 (NPR1) had been silenced or in transgenic plants defective in SA biosynthesis. In contrast, under both ambient and elevated [CO2], the susceptibility to B. cinerea highly increased in plants in which the JA signalling pathway proteinase inhibitors (PI) gene had been silenced or in a mutant affected in JA biosynthesis. However, plants affected in SA signalling remained less susceptible to this disease. These findings highlight the modulated antagonistic relationship between SA and JA that contributes to the variation in disease susceptibility under elevated [CO2]. This information will be critical for investigating how elevated CO2 may affect plant defence and the dynamics between plants and pathogens in both agricultural and natural ecosystems.
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影响因子:
6.9
作者:
Aranjuelo I;Sanz-Sáez Á;Jauregui I;Irigoyen JJ;Araus JL;Sánchez-Díaz M;Erice G
通讯作者:
Erice G
影响因子:
4.3
作者:
Liao, Yang-Wen-Ke;Shi, Kai;Yu, Jing-Quan
通讯作者:
Yu, Jing-Quan
影响因子:
7.4
作者:
Díaz, J;ten Have, A;van Kan, JAL
通讯作者:
van Kan, JAL
影响因子:
11.6
作者:
AbuQamar, Synan;Chai, Mao-Feng;Mengiste, Tesfaye
通讯作者:
Mengiste, Tesfaye
影响因子:
2
作者:
Juroszek, P.;von Tiedemann, A.
通讯作者:
von Tiedemann, A.