Applied Mycology Group, Cranfield Health, Cranfield University, Bedford, UK.
J R Soc Interface. 2011 Jan 6;8(54):117-26. doi: 10.1098/rsif.2010.0131. Epub 2010 May 12.
The effect of changes in temperature/water activity (a(w)) on growth, deoxynivalenol (DON) production and trichothecene gene cluster expression (18 genes) for strains of Fusarium culmorum and Fusarium graminearum was studied. The expression data for six key transcription genes (TRI4, TRI5, TRI6, TRI10, TRI12 and TRI13) were analysed using multiple regression analyses to model the relationship between these various factors for the first time. Changes in a(w) and temperature significantly (p = 0.05) affected growth and DON. Microarray data on expression of these genes were significantly related to DON production for both strains. Multi-regression analysis was done and polynomial models found to best fit the relationship between actual/predicted DON production relative to the expression of these TRI genes and environmental factors. This allowed prediction of the amounts of DON produced in two-dimensional contour maps to relate expression of these genes to either a(w) or temperature. These results suggest complex interactions between gene expression (TRI genes), environmental factors and mycotoxin production. This is a powerful tool for understanding the role of these genes in relation to environmental factors and enables more effective targeted control strategies to be developed.
研究了温度/水分活度(a(w))变化对禾谷镰刀菌和玉蜀黍赤霉生长、脱氧雪腐镰刀菌烯醇(DON)产生和三萜烯基因簇表达(18 个基因)的影响。首次使用多元回归分析对六个关键转录基因(Tri4、Tri5、Tri6、Tri10、Tri12 和 Tri13)的表达数据进行分析,以建立这些不同因素之间的关系模型。a(w)和温度的变化显著(p=0.05)影响了生长和 DON。这两种菌株的这些基因表达的微阵列数据与 DON 的产生显著相关。进行了多元回归分析,并发现多项式模型最适合这些 TRI 基因表达与环境因子之间的实际/预测 DON 产生之间的关系。这允许在二维等高线图中预测 DON 的产生量,以将这些基因的表达与 a(w)或温度联系起来。这些结果表明基因表达(TRI 基因)、环境因子和霉菌毒素产生之间存在复杂的相互作用。这是了解这些基因与环境因子关系的有力工具,并能够开发更有效的靶向控制策略。