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酚类化合物作为明确的化学标志物用于鉴定埃塞俄比亚巴勒山的关键植物物种。

Phenolic Compounds as Unambiguous Chemical Markers for the Identification of Keystone Plant Species in the Bale Mountains, Ethiopia.

作者信息

Lemma Bruk, Grehl Claudius, Zech Michael, Mekonnen Betelhem, Zech Wolfgang, Nemomissa Sileshi, Bekele Tamrat, Glaser Bruno

机构信息

Institute of Agronomy and Nutritional Sciences, Soil Biogeochemistry, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 3, D-06120 Halle, Germany.

Ethiopian Biodiversity Institute, Forest and Rangeland Biodiversity Directorate, P.O. Box 30726 Addis Ababa, Ethiopia.

出版信息

Plants (Basel). 2019 Jul 16;8(7):228. doi: 10.3390/plants8070228.

Abstract

Despite the fact that the vegetation pattern and history of the Bale Mountains in Ethiopia were reconstructed using pollen, little is known about the former extent of species. The main objective of the present study is to identify unambiguous chemical proxies from plant-derived phenolic compounds to characterize and other keystone species. Mild alkaline CuO oxidation has been used to extract sixteen phenolic compounds. After removal of undesired impurities, individual phenols were separated by gas chromatography and were detected by mass spectrometry. While conventional phenol ratios such as syringyl vs. vanillyl and cinnamyl vs. vanillyl and hierarchical cluster analysis of phenols failed for unambiguous identification, the relative abundance of coumaryl phenols (>0.20) and benzoic acids (0.05-0.12) can be used as a proxy to distinguish from other plant species. Moreover, a Random Forest decision tree based on syringyl phenols, benzoic acids (>0.06), coumaryl phenols (<0.21), hydroxybenzoic acids, and vanillyl phenols (>0.3) could be established for unambiguous identification. In conclusion, serious caution should be given before interpreting this calibration study in paleovegetation reconstruction in respect of degradation and underground inputs of soil organic matter.

摘要

尽管埃塞俄比亚巴勒山的植被格局和历史是通过花粉重建的,但对于该地区过去物种的分布范围却知之甚少。本研究的主要目的是从植物衍生的酚类化合物中确定明确的化学指标,以表征[具体物种]和其他关键物种。采用温和碱性氧化铜氧化法提取了16种酚类化合物。去除不需要的杂质后,通过气相色谱法分离各酚类化合物,并采用质谱法进行检测。虽然传统的酚类比例(如紫丁香基与香草基、肉桂基与香草基)以及酚类的层次聚类分析无法明确鉴定[具体物种],但香豆基酚类(>0.20)和苯甲酸(0.05 - 0.12)的相对丰度可作为区分[具体物种]与其他植物物种的指标。此外,基于紫丁香基酚类、苯甲酸(>0.06)、香豆基酚类(<0.21)、羟基苯甲酸和香草基酚类(>0.3)建立的随机森林决策树可用于明确鉴定。总之,在将此校准研究用于古植被重建时,鉴于土壤有机质的降解和地下输入,应格外谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a18e/6681346/702de87c6940/plants-08-00228-g001.jpg

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