Lanubile Alessandra, Maschietto Valentina, Borrelli Virginia M, Stagnati Lorenzo, Logrieco Antonio F, Marocco Adriano
Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Institute of Sciences of Food Production, National Research Council, Bari, Italy.
Front Plant Sci. 2017 Oct 12;8:1774. doi: 10.3389/fpls.2017.01774. eCollection 2017.
The impact of climate change has been identified as an emerging issue for food security and safety, and the increased incidence of mycotoxin contamination in maize over the last two decades is considered a potential emerging hazard. Disease control by chemical and agronomic approaches is often ineffective and increases the cost of production; for this reason the exploitation of genetic resistance is the most sustainable method for reducing contamination. The review focuses on the significant advances that have been made in the development of transcriptomic, genetic and genomic information for maize, molds, and their interactions, over recent years. Findings from transcriptomic studies have been used to outline a specific model for the intracellular signaling cascade occurring in maize cells against infection. Several recognition receptors, such as receptor-like kinases and genes, are involved in pathogen perception, and trigger down-stream signaling networks mediated by mitogen-associated protein kinases. These signals could be orchestrated primarily by hormones, including salicylic acid, auxin, abscisic acid, ethylene, and jasmonic acid, in association with calcium signaling, targeting multiple transcription factors that in turn promote the down-stream activation of defensive response genes, such as those related to detoxification processes, phenylpropanoid, and oxylipin metabolic pathways. At the genetic and genomic levels, several quantitative trait loci (QTL) and single-nucleotide polymorphism markers for resistance to Fusarium ear rot deriving from QTL mapping and genome-wide association studies are described, indicating the complexity of this polygenic trait. All these findings will contribute to identifying candidate genes for resistance and to applying genomic technologies for selecting resistant maize genotypes and speeding up a strategy of breeding to contrast disease, through plants resistant to mycotoxin-producing pathogens.
气候变化的影响已被确认为粮食安全和保障方面的一个新出现问题,过去二十年中玉米中霉菌毒素污染发生率的增加被视为一种潜在的新出现危害。通过化学和农艺方法进行病害控制往往效果不佳且会增加生产成本;因此,利用遗传抗性是减少污染的最可持续方法。本综述聚焦于近年来在玉米、霉菌及其相互作用的转录组学、遗传学和基因组信息开发方面取得的重大进展。转录组学研究结果已被用于勾勒出玉米细胞针对感染发生的细胞内信号级联反应的特定模型。几种识别受体,如类受体激酶和基因,参与病原体感知,并触发由丝裂原相关蛋白激酶介导的下游信号网络。这些信号可能主要由包括水杨酸、生长素、脱落酸、乙烯和茉莉酸在内的激素与钙信号协同调控,作用于多个转录因子,进而促进防御反应基因的下游激活,如那些与解毒过程、苯丙烷类和脂氧合酶代谢途径相关的基因。在遗传和基因组水平上,描述了一些通过数量性状位点(QTL)定位和全基因组关联研究得出的抗镰刀菌穗腐病的QTL和单核苷酸多态性标记,表明这种多基因性状的复杂性。所有这些发现将有助于鉴定抗性候选基因,并应用基因组技术来选择抗性玉米基因型,加速通过对产生霉菌毒素的病原体具有抗性的植物来防治病害的育种策略。