Characterization of hybrid larch somatic embryo maturation by biochemical analyses and by a novel, fast mid‐infrared approach

棉子糖 水苏糖 生物 淀粉 果糖 胚胎发生 生物化学 化学 植物 胚胎 胚胎发生 细胞生物学 蔗糖
作者
Parisa Savane,Nassim Belmokhtar,Armelle Delile,Nathalie Boizot,Céline Ridel,Marie‐Anne Lelu‐Walter,Caroline Teyssier
出处
期刊:Physiologia Plantarum [Wiley]
卷期号:175 (4)
标识
DOI:10.1111/ppl.13966
摘要

Abstract The morphology of somatic embryos (SE) is not a sufficient criterion to determine the level of maturation and the optimal stage to transfer embryos for germination, unlike the biochemical components. This composition characterization in the laboratory is too restrictive to be considered at each maturation cycle, as would be necessary. It is, therefore, essential to consider alternative methods. The objectives of this work were to achieve a complete biochemical characterization of the embryos during their development, to serve as a reference and develop a characterization based on infrared spectrometry and chemometrics. During the precotyledonary stage (0–3 weeks of maturation), water content and glucose and fructose levels were high, which is consistent with SE development. After 4 weeks, the cotyledonary SE had a metabolism oriented towards the storage accumulation of lipids, proteins and starch, whereas raffinose only appeared from 8 weeks. Mid‐infrared calibration models were developed for water, proteins, lipids, carbohydrates, glucose, fructose, inositols, raffinose, stachyose and starch contents with an r 2 average of 0.84. A model was also developed to discriminate the weeks of SE maturation. Different classes of age were discriminated with at least 72% of accuracy. Infrared analysis of the SE based on their full biochemical spectral fingerprint revealed a very slight variation in composition between 7 and 9 weeks, information that is very difficult to obtain by conventional analysis methods. These results provide novel insights into the maturation of conifer SE and indicate that mid‐infrared spectrometry could be an easy and effective method for SE characterization.
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