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傅里叶变换红外光谱法研究小麦茎秆抗倒伏性与细胞壁组成的关系。

Investigation of cell wall composition related to stem lodging resistance in wheat (Triticum aestivum L.) by FTIR spectroscopy.

机构信息

Key Labortary of Humid Subtropical Eco-geographical Process of the Ministry of Education, Fuzhou, China.

出版信息

Plant Signal Behav. 2012 Jul;7(7):856-63. doi: 10.4161/psb.20468. Epub 2012 Jul 1.

Abstract

We explored the rapid qualitative analysis of wheat cultivars with good lodging resistances by Fourier transform infrared resonance (FTIR) spectroscopy and multivariate statistical analysis. FTIR imaging showing that wheat stem cell walls were mainly composed of cellulose, pectin, protein, and lignin. Principal components analysis (PCA) was used to eliminate multicollinearity among multiple peak absorptions. PCA revealed the developmental internodes of wheat stems could be distributed from low to high along the load of the second principal component, which was consistent with the corresponding bands of cellulose in the FTIR spectra of the cell walls. Furthermore, four distinct stem populations could also be identified by spectral features related to their corresponding mechanical properties via PCA and cluster analysis. Histochemical staining of four types of wheat stems with various abilities to resist lodging revealed that cellulose contributed more than lignin to the ability to resist lodging. These results strongly suggested that the main cell wall component responsible for these differences was cellulose. Therefore, the combination of multivariate analysis and FTIR could rapidly screen wheat cultivars with good lodging resistance. Furthermore, the application of these methods to a much wider range of cultivars of unknown mechanical properties promises to be of interest.

摘要

我们通过傅里叶变换红外共振(FTIR)光谱和多变量统计分析探索了具有良好抗倒伏性的小麦品种的快速定性分析。FTIR 成像表明,小麦茎细胞壁主要由纤维素、果胶、蛋白质和木质素组成。主成分分析(PCA)用于消除多个峰吸收之间的共线性。PCA 揭示了小麦茎的发育节段可以沿着第二主成分的载荷从低到高分布,这与细胞壁 FTIR 光谱中纤维素的相应波段一致。此外,通过 PCA 和聚类分析,还可以根据与机械性能相对应的光谱特征,识别出四种不同的茎群体。对具有不同抗倒伏能力的四种类型的小麦茎进行组织化学染色表明,纤维素对抗倒伏能力的贡献大于木质素。这些结果强烈表明,导致这些差异的主要细胞壁成分是纤维素。因此,多元分析与 FTIR 的结合可以快速筛选具有良好抗倒伏性的小麦品种。此外,将这些方法应用于更广泛的未知机械性能的品种,有望引起人们的兴趣。

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