Usnea longissima
Usnea longissima
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Natural products/compounds from Usnea longissima
- Cat.No. Product Name CAS Number COA
- BCC8264 Usnic acid125-46-2 Instructions
In vivo anti-inflammatory and anti-platelet aggregation activities of longissiminone A, isolated from Usnea longissima.[Pubmed: 29039316]
Secondary metabolite, longissiminone A (1) was isolated from a lichen, Usnea longissima. It was screened for its' in vivo anti-inflammatroy and anti-platelet aggregation activities. Compound 1 showed moderate in vivo anti-inflammatory activity as well as moderately active against the aggregation induced by arachidonic acid at different doses.
Studies on the regulation of lipid metabolism and the mechanism of the aqueous and ethanol extracts of Usnea.[Pubmed: 28810520]
Usnea is a lichen of Usnea diffracta Vain and Usnea longissima Ach, which belongs to the genus Usnea Adans of Usneaceae. Usnea exerts numerous pharmacological activities, while its lipid regulatory activities remain unreported. This study aims to evaluate the effects of aqueous and ethanol extracts of Usnea on the regulation of lipid metabolism and to explore the possible mechanism.
Black-and-white snub-nosed monkey (Rhinopithecus bieti) feeding behavior in a degraded forest fragment: clues to a stressed population.[Pubmed: 28634668]
Rapid global deforestation has forced many of the world's primates to live in fragmented habitats, making the understanding of their behavioral responses to degraded and fragmented habitats a key challenge for their future protection and management. The black-and-white snub-nosed monkey (Rhinopithecus bieti) is an endangered species endemic to southwest China. The forest habitat ranges from near-continuous to fragmented. In this study, we investigated the activity budget and diet of a R. bieti population that live in an isolated and degraded habitat patch at Mt. Lasha in Yunnan Province, near the current southern limit of the species. We used our data along with data from six other sites in more-continuous habitats across its range to model factors that predict stress, including feeding effort and time feeding on lichens against potential predictive parameters. Models showed feeding effort across all sites increased with increasing altitude and latitude, and with decreasing food species diversity. There was also a strong positive relationship between feeding effort and time feeding lichens. The Mt. Lasha R. bieti population exploited a total of 36 food species, spending 80.2% of feeding time feeding on lichens, Bryoria spp. and Usnea longissima. These figures are more comparable to those living in the north than those living in the mid- and southern part of the species' range. Given the models for feeding effort and time feeding on lichens, the unexpectedly high time spend feeding on lichens and feeding effort relative to latitude and elevation are suggestive of a stressed population at Mt. Lasha.
Synthesis and anti-inflammatory activity of novel triazole hybrids of (+)-usnic acid, the major dibenzofuran metabolite of the lichen Usnea longissima.[Pubmed: 28130662]
(+)-Usnic acid ((R)-2,6-diacetyl-7,9-dihydroxy-8,9b-dimethyl-1,3(2H,9bH)-dibenzo-furandione), a dibenzofuran isolated from the lichen Usnea longissima, has been chemically transformed to synthesize a series of sixteen novel triazole analogs by click chemistry approach. The synthesized compounds were tested for their anti-inflammatory potential against the cytokines TNF-[Formula: see text] and IL-1[Formula: see text] in U937 cell lines. The bromo enamines (2a, 2b), azido enamines (3a, 3b) and triazole analogs (4f, 4g, 4h, 5f, 5g and 5h) exhibited promising anti-inflammatory activity against TNF-[Formula: see text] with [Formula: see text] values ranging from 1.40 to 5.70 [Formula: see text]M. Most significantly, the [Formula: see text] values of compounds 5f (1.40 [Formula: see text]M) and 5h (1.88 [Formula: see text]M) are the lowest among the compounds tested and found close to that of standard prednisolone. Hence, these two compounds can be considered as lead molecules for further fine tuning to make highly potent anti-inflammatory therapeutic agents.
[Chemical Constituents from Usnea longgisima, a Traditional Mongolian Medicine(II)].[Pubmed: 27352535]
To study the chemical constituents of traditional Mongolian medicine Usnea longissima.
Usnic Acid Derivatives with Cytotoxic and Antifungal Activities from the Lichen Usnea longissima.[Pubmed: 27186821]
Eight usnic acid derivatives, that is, usenamines A-F (1-6), usone (7), and isousone (8), together with the known (+)-usnic acid (9), were isolated from the lichen Usnea longissima. Their structures were elucidated using 1D and 2D NMR and MS data, and the absolute configurations of compounds 1 and 2 were defined by single-crystal X-ray diffraction analyses. Compounds 1, 2, and 8 showed inhibitory effects on the growth of human hepatoma HepG2 cells with IC50 values of 6.0-53.3 μM compared with methotrexate as the positive control, which had an IC50 value of 15.8 μM. Furthermore, 1 induced apoptosis of HepG2 cells in a dose-dependent manner at concentrations of 0-15.0 μM. The isolated compounds were also evaluated for their antifungal and antibacterial activities, with 7 and 8 exhibiting weak inhibitory effects on fungal Trichophyton rubrum spp. with an MIC value of 41.0 μM.
[Phenolic constituents from lichen Usnea longissima].[Pubmed: 28895334]
Sixteen compounds were isolated from lichen Usnea longissima using of various chromatographic techniques including silica gel, Sephadex LH-20, ODS, and semi-preparative HPLC. By spectroscopic data analyses, their structures were identified by as useanol(1), lecanorin(2), 3-hydroxy-5-methylphenyl 2-hydroxy-4-methoxy-6-methylbenzoate(3), lecanorin E(4), 3'-methylevernic acid(5), evernic acid(6), barbatinic acid(7), 3,7-dihydroxy-1,9-dimethyldibenzofuran(8), orcinol(9), O-methylorcinol(10), methyl orsellinate(11), methyl everninate(12), 2,5-dimethyl-1,3-benzenediol(13), 2-hydroxy-4-methoxy-3,6-dimethyl benzoic acid(14), ethyl everninate(15), and ethyl 2,4-dihydroxy-6-methylbenzoate(16). Compound 1 was obtained as a natural product for the first time, and 3,4, 8,10,12, and 13 were isolated from Usneaceae family for the first time. Compound 1, 8, and 13 showed significant anti-inflammatory activity against NO production in RAW 267.4 cells with IC₅₀ values of 6.8, 3.9 and 4.8 μmol•L⁻¹, respectively, compared with the positive controls curcumin(IC₅₀ 15.3 μmol•L⁻¹) and indomethacin(IC₅₀ 42.9 μmol•L⁻¹).
From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories.[Pubmed: 26967999]
Accuracy of taxonomic identifications is crucial to data quality in online repositories of species occurrence data, such as the Global Biodiversity Information Facility (GBIF), which have accumulated several hundred million records over the past 15 years. These data serve as basis for large scale analyses of macroecological and biogeographic patterns and to document environmental changes over time. However, taxonomic identifications are often unreliable, especially for non-vascular plants and fungi including lichens, which may lack critical revisions of voucher specimens. Due to the scale of the problem, restudy of millions of collections is unrealistic and other strategies are needed. Here we propose to use verified, georeferenced occurrence data of a given species to apply predictive niche modeling that can then be used to evaluate unverified occurrences of that species. Selecting the charismatic lichen fungus, Usnea longissima, as a case study, we used georeferenced occurrence records based on sequenced specimens to model its predicted niche. Our results suggest that the target species is largely restricted to a narrow range of boreal and temperate forest in the Northern Hemisphere and that occurrence records in GBIF from tropical regions and the Southern Hemisphere do not represent this taxon, a prediction tested by comparison with taxonomic revisions of Usnea for these regions. As a novel approach, we employed Principal Component Analysis on the environmental grid data used for predictive modeling to visualize potential ecogeographical barriers for the target species; we found that tropical regions conform a strong barrier, explaining why potential niches in the Southern Hemisphere were not colonized by Usnea longissima and instead by morphologically similar species. This approach is an example of how data from two of the most important biodiversity repositories, GenBank and GBIF, can be effectively combined to remotely address the problem of inaccuracy of taxonomic identifications in occurrence data repositories and to provide a filtering mechanism which can considerably reduce the number of voucher specimens that need critical revision, in this case from 4,672 to about 100.