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BackgroundMedicinal plants are traded as products with vernacular names, but these folk taxonomies do not always correspond one-to-one with scientific plant names. These local species entities can be defined as ethnospecies and can match, under-differentiate or over-differentiate as compared to scientific species. Identification of plant species in trade is further complicated by the processed state of the product, substitution and adulteration. In countries like Tanzania, an additional dimension to mapping folk taxonomies on scientific names is added by the multitude of ethnicities and languages of the plant collectors, traders and consumers. This study aims to elucidate the relations between the most common vernacular names and the ethnicity of the individual traders among the medicinal plant markets in Dar es Salaam and Tanga regions in Tanzania, with the aim of understanding the dynamics of vernacular names in plant trade.MethodsA total of 90 respondents were interviewed in local markets using semi-structured interviews. The ethnicity of each respondent was recorded, as well as the language of each ethnospecies mentioned during the interviews. Voucher collections and reference literature were used to match ethnospecies across languages.ResultsAt each market, the language of the majority of the vendors dominates the names for medicinal products. The dominant vendors often represent the major ethnic groups of that region. Independent of their ethnicity, vendors offer their products in the dominant language of the specific region without apparently leading to any confusion or species mismatching.ConclusionsMiddlemen, traders and vendors adapt their folk classifications to those of the ethnic groups of the region where they conduct their trade, and to the ethnicity of their main customers. The names in the language of the traders are not forgotten, but relegated in favor of the more salient names of the dominant tribe.Electronic supplementary materialThe online version of this article (doi:10.1186/1746-4269-11-10) contains supplementary material, which is available to authorized users.

Tuberculosis (TB) is now a global public health problem that has been exacerbated by the emergence of multiand extensively-drug resistant (MDR and XDR, respectively) strains of Mycobacterium tuberculosis. There have been claims in the region by Traditional Medicine Practitioners (TMPs) about being able to treat the symptoms of TB, but their work lacked proper documentation. A structured questionnaire was used to test the ability of (TMPs) to diagnose and treat symptoms of TB; the medicinal plants used treat TB symptoms, as well as the influence of socio-economic and cultural factors on the indigenous communities' choice of treatment. A total of 99 TMPs and 22 TB patients were interviewed. Over 30 medicinal plants were mentioned as being used to treat symptoms of TB, an indication of wide knowledge on management of TB in the region. Treatment costs were found to influence the patients' choice of TB treatment and a large proportion of the TMPs were found to be of advanced age (60-80 years of age). The conclusion was that TMPs have reasonable knowledge about TB and its management. There is urgent need to tap the indigenous knowledge from the custodians and scientifically validate it for future drug development.

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Chikanda is a traditional dish made with wild-harvested ground orchid tubers belonging to three orchidioid genera, Disa, Satyrium and Habenaria, all of which are CITES appendix II-listed. Identification of collected orchid tubers is very difficult and documentation of constituent species in prepared chikanda has hitherto been impossible. Here amplicon metabarcoding was used in samples of six prepared chikanda cakes to study genetic sequence diversity and species diversity in this product. Molecular operational taxonomic unit identification using similarity-matching reveals that species of all three genera were present in the chikanda samples studied. Disa was present in all of the samples, Satyrium in five out of six and Habenaria in one of the samples, as well as a number of other plants. The fact that each sample contained orchids and the presence of a wide variety of species from all genera in this traditional dish raise serious concerns about the sustainability of this trade and the future of wild orchid populations in the main harvest areas. This proof-of-concept study shows that Ion-Torrent PGM is a cost-effective scalable platform for metabarcoding using the relatively long nrITS1 and nrITS2 regions. 123Biodivers Conserv (2017) 26:2029-2046 DOI 10.1007/s10531-017-1343 Furthermore, nrITS metabarcoding can be successfully used for the detection of specific ingredients in a highly-processed food product at genus level, and this makes it a useful tool in the detection of possible conservation issues arising from commercialized trade or processed plant products.

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Use of multi-plant extracts against infectious diseases is increasing in rural Tanzania. The study evaluated this ethnomedicinal practice by using mixed root extracts of Carisa edulis, Ximenia caffra, Harrisonia abyssinica and Euclea natalensis against single extracts of the same plants. Disc diffusion assay and Tube dilution techniques were used to compare bioactivity of plant extracts in-vitro. The ANOVA test indicated significant difference (P < 0.05) between these extracts types. Multi-plant extracts had inhibition zones of up to 26mm as compared to 14mm for single extracts. Minimum Inhibitory Concentration for multi-plant extract was 8.3µg/ml against 69µg/ml for single extracts. Multi-plant extracts inhibited all the five test bacterial species while single extracts inhibited three species. Eight out of ten multi-plant extracts (80%) were bactericidal while only two out of four single extracts (50%) were bactericidal. Generally, multi-plant extracts were more superior over single plant extracts and could be developed into more potent antibiotics against resistant pathogens.