马达加斯加干旱森林狐猴食用的树木渗出物的营养成分和可能的药用价值

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL
J. Ganzhorn, Y. R. Ratovonamana, Melina Rother, Peggy Giertz, Curswan A Andrews, Sabine Baumann, Yvonne E.-M. B. Bohr, P. Kappeler, B. K. Montero, Andreas Pommerening-Röser, U. Radespiel, S. J. Rakotondranary, Oliver Schülke, K. Steffens, Sandra Thorén, G. Timmermann, Irene Tomaschewski
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引用次数: 0

摘要

树木受伤后产生的树胶是多种灵长类动物的宝贵食物资源。然而,有关树胶化学特性的信息很少,而且不一致。我们以狐猴(马达加斯加链胸类灵长类动物)食用的树胶为例,说明其可能具有的营养和药物特性。马达加斯加干燥森林中 45 种树种的渗出物含有 0.38-23.29% 的蛋白质、0.46-65.62% 的糖和 0.39-11.86 kJ/g 的干物质能量。以狐猴物种 Microcebus griseorufus 为例,树胶的消耗量随着糖和能量含量的增加而增加,但与蛋白质无关。但狐猴也会以蛋白质和能量含量极低的树胶为食,这表明狐猴食用这些渗出物还有其他原因。狐猴食用的 22 种树种中,有 5 种树种的渗出物进行了盘扩散试验,结果表明这些渗出物具有抗微生物球菌和/或金黄色葡萄球菌的抗菌活性。与不具有抗菌特性的样本相比,具有抗菌活性的渗出物的蛋白质、糖和能量含量较低。气相色谱-质谱(GC-MS)分析显示,有几种成分具有抗菌作用,可用于自我治疗。这可能是食用营养价值极低的树胶的原因。树木渗出物可能具有的药用效果值得进一步关注,因为它们对动物和人类都有药用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nutritional and Possible Pharmaceutical Aspects of Tree Exudates Eaten by Lemurs of Madagascar’s Dry Forests
Gums produced by trees after injuries are valuable food resources for several primate species. Yet, information on the chemical characteristics of gum is scant and inconsistent. We use gums consumed by lemurs (strepsirrhine primates of Madagascar) as an example to illustrate their possible nutritive and pharmaceutical properties. Exudates from 45 tree species of the dry forests of Madagascar contained 0.38–23.29% protein, 0.46–65.62% sugar, and 0.39–11.86 kJ/g of energy in dry matter. Exemplified by the lemur species Microcebus griseorufus, gum consumption increased with increasing sugar and energy content but was unrelated to protein. But lemurs also fed on gum with very low protein and energy content, suggesting that these exudates were consumed for other reasons. Disk diffusion tests with exudates from five out of 22 tree species consumed by lemurs showed antibacterial activity against Micrococcus spp. and/or Staphylococcus aureus. Exudates with antibacterial activity had lower protein, sugar, and energy contents than samples without antibacterial properties. GC-MS analyses revealed several components with antimicrobial effects that would have the potential for self-medication. This might explain the consumption of gum with very low nutritive value. Possible medicinal effects of tree exudates deserve further attention in view of their pharmaceutical applicability for animals and humans alike.
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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