12 research outputs found
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Comparative analysis of four medicinal floras: phylogenetic methods to identify cross-cultural patterns
Summary
Four medicinal floras were compared using phylogenetic methods, to test whether there are shared patterns in medical plant use at the level of the whole medicinal floras, or for specific therapeutic applications.
Checklists of the native plants and medicinal plants of Oman were compiled, and analyzed alongside existing checklists for Nepal, the Cape of South Africa and New Zealand. We reconstructed a plant phylogeny at generic level for Oman, and a new, more inclusive phylogeny to represent the genera found in all four local floras. Methods from community phylogenetics were used to identify clustering and overdispersion of the plants used. The impacts of using local or more inclusive phylogenies and different null model selections were explored.
We found that Omani medicinal plant use emphasizes the same deep lineages of flowering plants as the other three medicinal floras, most strongly when comparing Omani and Nepalese medicinal plants. Drivers of this similarity might be floristic composition, opportunity for exchange of knowledge and shared beliefs in the causation of illness. Phylogenetic patterns among therapeutic applications are crossâpredictive within and between cultures, and must be interpreted with care since inappropriate use of null models can result in spurious similarity. High levels of crossâpredictivity suggest that targeting plants used for specific therapeutic applications to identify specific bioactives may have limited value.
We outline the questions that might be addressed using a global phylogeny and medicinal plant checklists, suggest the best methods for future studies and propose how findings might be interpreted
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The use of phylogeny to interpret cross-cultural patterns in plant use and guide medicinal plant discovery: an example from Pterocarpus (Leguminosae)
The study of traditional knowledge of medicinal plants has led to discoveries that have helped combat diseases and improve healthcare. However, the development of quantitative measures that can assist our quest for new medicinal plants has not greatly advanced in recent years. Phylogenetic tools have entered many scientific fields in the last two decades to provide explanatory power, but have been overlooked in ethnomedicinal studies. Several studies show that medicinal properties are not randomly distributed in plant phylogenies, suggesting that phylogeny shapes ethnobotanical use. Nevertheless, empirical studies that explicitly combine ethnobotanical and phylogenetic information are scarce.In this study, we borrowed tools from community ecology phylogenetics to quantify significance of phylogenetic signal in medicinal properties in plants and identify nodes on phylogenies with high bioscreening potential. To do this, we produced an ethnomedicinal review from extensive literature research and a multi-locus phylogenetic hypothesis for the pantropical genus Pterocarpus (Leguminosae: Papilionoideae). We demonstrate that species used to treat a certain conditions, such as malaria, are significantly phylogenetically clumped and we highlight nodes in the phylogeny that are significantly overabundant in species used to treat certain conditions. These cross-cultural patterns in ethnomedicinal usage in Pterocarpus are interpreted in the light of phylogenetic relationships.This study provides techniques that enable the application of phylogenies in bioscreening, but also sheds light on the processes that shape cross-cultural ethnomedicinal patterns. This community phylogenetic approach demonstrates that similar ethnobotanical uses can arise in parallel in different areas where related plants are available. With a vast amount of ethnomedicinal and phylogenetic information available, we predict that this field, after further refinement of the techniques, will expand into similar research areas, such as pest management or the search for bioactive plant-based compounds
A quantitative synthesis of the medicinal ethnobotany of the Malinké of Mali and the Ashåninka of Peru, with a new theoretical framework
<p>Abstract</p> <p>Background</p> <p>Although ethnomedically and taxonomically guided searches for new medicinal plants can improve the percentage of plants found containing active compounds when compared to random sampling, ethnobotany has fulfilled little of its promise in the last few decades to deliver a bounty of new, laboratory-proven medicinal plants and compounds. It is quite difficult to test, isolate, and elucidate the structure and mechanism of compounds from the plethora of new medicinal plant uses described each year with limited laboratory time and resources and the high cost of clinical trials of new drug candidates.</p> <p>Methods</p> <p>A new quantitative theoretical framework of mathematical formulas called "relational efficacy" is proposed that should narrow down this search for new plant-derived medicines based on the hypothesis that closely related plants used to treat closely related diseases in distantly related cultures have a higher probability of being effective because they are more likely to be independent discoveries of similar plant compounds and disease mechanisms. A prerequisite to this hypothesis, the idea that empirical testing in traditional medicine will lead to choosing similar medicinal plants and therefore the medicinal flora of two distant cultures will prove to be more similar than their general flora, is tested using resampling statistics on cross-cultural field data of the plants used by the MalinkĂ© of Mali and the AshĂĄninka of Peru to treat the diseases malaria, African sleeping sickness, Chagas' disease, leishmaniasis, diabetes, eczema, asthma, and uterine fibroids.</p> <p>Results</p> <p>In this case, the similarity of the medicinal floras is found to be significantly greater than the similarity of the general floras, but only when the diseases in question are grouped into the categories of parasitic and autoimmune diseases.</p> <p>Conclusion</p> <p>If the central theoretical framework of this hypothesis is shown to be true, it will allow the synthesis of medicinal plant information from around the world to pinpoint the species with the highest potential efficacy to take into the laboratory and analyze further, ultimately saving much field and laboratory time and resources.</p> <p><b>Spanish abstract</b></p> <p>Las bĂșsquedas que utilizan la etnomedicina y la taxonomĂa para descubrir nuevas plantas medicinales, pueden aumentar la probabilidad de Ă©xito de encontrar compuestos quĂmicos activos en plantas, en comparaciĂłn con las bĂșsquedas aleatorias. A pesar de lo anterior, en las Ășltimas dĂ©cadas, la etnobotĂĄnica no ha cumplido con las expectativas de proveer numerosas plantas medicinales y quĂmicos nuevos una vez examinados en el laboratorio. Cada año se describen una plĂ©tora de plantas medicinales y sus usos, sin embargo las limitaciones de tiempo y recursos en los laboratorios, unidos al alto coste de los ensayos clĂnicos de las drogas potenciales, hacen muy difĂcil probar, aislar, y elucidar la estructura y el mecanismo de los compuestos de estas plantas. Se propone un nuevo marco teĂłrico cuantitativo cuyo fin es focalizar la bĂșsqueda de nueva plantas medicinales. Este marco teĂłrico estĂĄ basado en la hipĂłtesis que las plantas cercanamente relacionadas, usadas para tratar enfermedades cercanamente relacionadas en culturas distantemente relacionadas, tienen una eficacia potencial mĂĄs alta, debido a que es mĂĄs probable que estos hallazgos sean descubrimientos independientes de compuestos quĂmicos similares. Parte de esta hipĂłtesis, que las escogencias racionales se hacen para elegir plantas medicinales similares y que la flora medicinal de dos culturas distantes es mĂĄs similar que su flora general, se probĂł usando mĂ©todos estadĂsticos de remuestreo con datos de campo de la comunidad MalinkĂ© de MalĂ y de la AshĂĄninka de PerĂș, y las enfermedades de paludismo, enfermedad africana del sueño, enfermedad de Chagas, leishmania, diabetes, eczema, asma, y fibromas uterinos. Se encontrĂł, en este caso, que la similitud de las floras medicinales es significativamente mayor a la similitud de las floras generales, solamente cuando las enfermedades analizadas se agruparon en las categorĂas de enfermedades parasitarias y enfermedades autoinmunes. Si se demostrara que las otras partes de esta hipĂłtesis son ciertas, se podrĂa sintetizar la informaciĂłn sobre plantas medicinales alrededor del mundo, para establecer asĂ las plantas potencialmente mĂĄs eficaces para llevarlas al laboratorio y analizarlas mĂĄs profundamente.</p> <p><b>French abstract</b></p> <p>Par rapport aux recherches menĂ©es de façon alĂ©atoire, les recherches effectuĂ©es par des critĂšres ethnobotaniques et taxonomiques ont de meilleures chances Ă dĂ©couvrir de nouvelles plantes mĂ©dicinales Ă produit chimique actifs. Pendant les derniĂšres dĂ©cennies pourtant, l'ethnobotanique a rĂ©alisĂ© peu de ces promesses Ă rĂ©vĂ©ler un grand nombre de plantes mĂ©dicinales et de nouveaux produits chimiques, testĂ©s au laboratoire. Avec les ressources limitĂ©es pour la recherche au laboratoire et le coĂ»t Ă©levĂ© des Ă©preuves cliniques pour trouver de nouveaux candidats aux mĂ©dicaments, il est difficile d'Ă©tudier, d'isoler et d'Ă©lucider la structure et le mĂ©canisme des produits chimiques de chacune des nombreuses plantes mĂ©dicinales (et les utilisations de ces plantes) dĂ©crites chaque annĂ©e. Nous proposons une nouvelle technique thĂ©orique et quantitative pour prĂ©ciser la recherche de nouvelles plantes mĂ©dicinales; elle est basĂ©e sur l'hypothĂšse que les plantes Ă©troitement apparentĂ©es, employĂ©es pour traiter les maladies Ă©troitement apparentĂ©es dans les cultures trĂšs Ă©loignĂ©es les unes des autres, ont une potentialitĂ© d'efficacitĂ© supĂ©rieure parce qu'elles reprĂ©sentent la dĂ©couverte indĂ©pendante des propriĂ©tĂ©s chimiques semblables des plantes. Une partie de cette hypothĂšse-qui dĂ©montre que la sĂ©lection des plantes mĂ©dicinales semblables est un choix rationnel et qu'il y a davantage de ressemblance dans la flore mĂ©dicinale de deux cultures Ă©loignĂ©es que dans leur flore gĂ©nĂ©rale-est examinĂ©e par un re-Ă©chantillonnage des donnĂ©es de recherches effectuĂ©es parmi les MalinkĂ© au Mali et les AshĂĄninka au PĂ©rou, en particulier sur la malaria, la maladie africaine du sommeil, la maladie de Chagas, la leishmania, le diabĂšte, l'eczĂ©ma, l'asthme et les fibromes utĂ©rins. Dans ces cas prĂ©cis, la similitude de la flore mĂ©dicinale s'avĂšre sensiblement plus grande que la similitude de la flore gĂ©nĂ©rale, mais seulement quand les maladies en question sont regroupĂ©es ensemble comme maladies parasitaires et auto-immunitaires. Si cette hypothĂšse est prouvĂ©e, elle permettra la synthĂšse des informations recueillies sur les plantes mĂ©dicinales du monde entier pour en sĂ©lectionner de façon plus prĂ©cise celles qui sont les plus efficaces et qui mĂ©ritent analyse plus approfondie au laboratoire.</p> <p><b>AshĂĄninka abstract</b></p> <p>Aayiantyarori irĂČpero aavintane, ontzimatye ancovacovatero ayotero ovaqueraripaye incashi iyoyetziri ashaninka, ayotzityaro aajatzi iyotane viracocha paitachari "quimica" ancantero aaca oshintsinka inchashipaye. Atziri yotacotzirori cametsa, ishtoriajacotzirori iyotane ashaninkapaye te iroñà rantero maaroni ocaratzi yamenacotaqueri laboratorioki. Aaviantyarori cametsa, ayotacotero aavintarontsiyetatsiri osamani antzimaventero ishtoriatacotaro, aajatzi osheki opinata ampinaventero aparopaye inchashi, acoviriqui ayotacotero, osaretsikipaye. Tzimatsi ovaquerari quenquishiriantsitatsiri ero opinata osheki ashitoriatacotero aparopaye inchashi, asampiyetatyrey pashinipaye atziri saicatsiri intaina puitarika inchasshi yavintari, ajatzirica oshiyaro ayotzi aaca, quemetachari atziri saikatsiri nampitsiki malinke aajatzi ishiyari ashaninka saicatsiri peruki, tzimatsi inchashi aajatzi yaavintari osheki okamĂštsatzi aririka anteri mantsiyarentsi icantaitziri ompetarentsi catsirentsi, pochokirentsi, patsarontsi(matatsi) ashipetate maaroni, ampochavathate, ancainikentsite, oncatsithakite tsinani. Aririka añaker aajatzi ahiyaro inchashi yaavintayetari pashinipaye atziri intainasatzi irdotake ahitoriatacoperoteri anĂ ashityard aavintarontsi ovamairiri shithanentsi, onĂ shitaavintarontsi tzicaacoventairi ero antane mantsiyarentsi. Omanperotatyarica irĂČperotzi avintarontsi, oshitovake laboratorioki aritaque iyoitanaquero maaroni quipatsiki iroperori avintarontsi.</p
American palm ethnomedicine: A meta-analysis
<p>Abstract</p> <p>Background</p> <p>Many recent papers have documented the phytochemical and pharmacological bases for the use of palms (<it>Arecaceae</it>) in ethnomedicine. Early publications were based almost entirely on interviews that solicited local knowledge. More recently, ethnobotanically guided searches for new medicinal plants have proven more successful than random sampling for identifying plants that contain biodynamic ingredients. However, limited laboratory time and the high cost of clinical trials make it difficult to test all potential medicinal plants in the search for new drug candidates. The purpose of this study was to summarize and analyze previous studies on the medicinal uses of American palms in order to narrow down the search for new palm-derived medicines.</p> <p>Methods</p> <p>Relevant literature was surveyed and data was extracted and organized into medicinal use categories. We focused on more recent literature than that considered in a review published 25 years ago. We included phytochemical and pharmacological research that explored the importance of American palms in ethnomedicine.</p> <p>Results</p> <p>Of 730 species of American palms, we found evidence that 106 species had known medicinal uses, ranging from treatments for diabetes and leishmaniasis to prostatic hyperplasia. Thus, the number of American palm species with known uses had increased from 48 to 106 over the last quarter of a century. Furthermore, the pharmacological bases for many of the effects are now understood.</p> <p>Conclusions</p> <p>Palms are important in American ethnomedicine. Some, like <it>Serenoa repens </it>and <it>Roystonea regia</it>, are the sources of drugs that have been approved for medicinal uses. In contrast, recent ethnopharmacological studies suggested that many of the reported uses of several other palms do not appear to have a strong physiological basis. This study has provided a useful assessment of the ethnobotanical and pharmacological data available on palms.</p
Modeling the Digital Earth in VRML
This paper describes the representation and navigation of large, multi-resolution, georeferenced datasets in VRML97. This requires resolving nontrivial issues such as how to represent deep level of detail hierarchies efficiently in VRML, how to model terrain using geographic coordinate systems instead of only VRML's Cartesian representation, how to model georeferenced coordinates to sub-meter accuracy with only single-precision floating point support, how to enable the integration of multiple terrain datasets for a region, as well as cultural features such as buildings and roads, how to navigate efficiently around a large, global terrain dataset, and finally, how to encode metadata describing the terrain. We present solutions to all of these problems. Consequently, we are able to visualize geographic data in the order of terabytes or more, from the globe down to millimeter resolution, and in real-time, using standard VRML97