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一种使用超高效液相色谱-串联质谱法分析复杂样品基质中独脚金内酯的改进策略。

An improved strategy to analyse strigolactones in complex sample matrices using UHPLC-MS/MS.

作者信息

Floková Kristýna, Shimels Mahdere, Andreo Jimenez Beatriz, Bardaro Nicoletta, Strnad Miroslav, Novák Ondřej, Bouwmeester Harro J

机构信息

Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.

Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences, and Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic.

出版信息

Plant Methods. 2020 Sep 17;16:125. doi: 10.1186/s13007-020-00669-3. eCollection 2020.

Abstract

BACKGROUND

Strigolactones represent the most recently described group of plant hormones involved in many aspects of plant growth regulation. Simultaneously, root exuded strigolactones mediate rhizosphere signaling towards beneficial arbuscular mycorrhizal fungi, but also attract parasitic plants. The seed germination of parasitic plants induced by host strigolactones leads to serious agricultural problems worldwide. More insight in these signaling molecules is hampered by their extremely low concentrations in complex soil and plant tissue matrices, as well as their instability. So far, the combination of tailored isolation-that would replace current unspecific, time-consuming and labour-intensive processing of large samples-and a highly sensitive method for the simultaneous profiling of a broad spectrum of strigolactones has not been reported.

RESULTS

Depending on the sample matrix, two different strategies for the rapid extraction of the seven structurally similar strigolactones and highly efficient single-step pre-concentration on polymeric RP SPE sorbent were developed and validated. Compared to conventional methods, controlled temperature during the extraction and the addition of an organic modifier (acetonitrile, acetone) to the extraction solvent helped to tailor strigolactone isolation from low initial amounts of root tissue (150 mg fresh weight, FW) and root exudate (20 ml), which improved both strigolactone stability and sample purity. We have designed an efficient UHPLC separation with sensitive MS/MS detection for simultaneous analysis of seven natural strigolactones including their biosynthetic precursors-carlactone and carlactonoic acid. In combination with the optimized UHPLC-MS/MS method, attomolar detection limits were achieved. The new method allowed successful profiling of seven strigolactones in small exudate and root tissue samples of four different agriculturally important plant species-sorghum, rice, pea and tomato.

CONCLUSION

The established method provides efficient strigolactone extraction with aqueous mixtures of less nucleophilic organic solvents from small root tissue and root exudate samples, in combination with rapid single-step pre-concentration. This method improves strigolactone stability and eliminates the co-extraction and signal of matrix-associated contaminants during the final UHPLC-MS/MS analysis with an electrospray interface, which dramatically increases the overall sensitivity of the analysis. We show that the method can be applied to a variety of plant species.

摘要

背景

独脚金内酯是最近发现的一类植物激素,参与植物生长调节的多个方面。同时,根系分泌的独脚金内酯介导根际与有益丛枝菌根真菌的信号传递,但也会吸引寄生植物。宿主独脚金内酯诱导寄生植物种子萌发,在全球范围内引发了严重的农业问题。由于这些信号分子在复杂的土壤和植物组织基质中浓度极低,且不稳定,对其的深入了解受到了阻碍。到目前为止,尚未报道将定制的分离方法(可替代当前对大量样品进行的非特异性、耗时且费力的处理)与用于同时分析多种独脚金内酯的高灵敏度方法相结合的研究。

结果

根据样品基质,开发并验证了两种不同的策略,用于快速提取七种结构相似的独脚金内酯,并在聚合物反相固相萃取吸附剂上进行高效单步预浓缩。与传统方法相比,提取过程中的控温以及向提取溶剂中添加有机改性剂(乙腈、丙酮)有助于从小量初始根组织(150毫克鲜重,FW)和根系分泌物(20毫升)中定制分离独脚金内酯,这提高了独脚金内酯的稳定性和样品纯度。我们设计了一种高效的超高效液相色谱分离方法,并结合灵敏的串联质谱检测,用于同时分析七种天然独脚金内酯,包括其生物合成前体——卡拉酮和卡拉套酸。结合优化的超高效液相色谱 - 串联质谱方法,实现了阿托摩尔级的检测限。该新方法成功地对四种不同的重要农业植物物种——高粱、水稻、豌豆和番茄的少量根系分泌物和根组织样品中的七种独脚金内酯进行了分析。

结论

所建立的方法使用亲核性较低的有机溶剂的水性混合物,从小根组织和根系分泌物样品中高效提取独脚金内酯,并结合快速单步预浓缩。该方法提高了独脚金内酯的稳定性,并在最终使用电喷雾接口的超高效液相色谱 - 串联质谱分析过程中消除了共萃取物和基质相关污染物的信号,极大地提高了分析的整体灵敏度。我们证明该方法可应用于多种植物物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56b3/7499983/5b9006b648ed/13007_2020_669_Fig1_HTML.jpg

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