PAGES: 241-251 DOI: 10.1590/0074-02760150436 Full paper
The microbiological signature of human cutaneous leishmaniasis lesions exhibits restricted bacterial diversity compared to healthy skin

Vanessa R Salgado1, Artur TL de Queiroz1,2, Sabri S Sanabani3, Camila I de Oliveira1,2, Edgar M Carvalho1,4,5, Jackson ML Costa1, Manoel Barral-Netto1,2, Aldina Barral1,2,+

1Fundação Oswaldo Cruz, Centro de Pesquisas Gonçalo Moniz, Salvador, BA, Brasil
2Instituto de Investigação em Imunologia, São Paulo, SP, Brasil
3Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas, Departamento de Patologia, São Paulo, SP, Brasil
4Universidade Federal da Bahia, Hospital Universitário Prof Edgard Santos, Serviço de Imunologia, Salvador, BA, Brasil
5Instituto Nacional de Ciência e Tecnologia em Doenças Tropicais, Salvador, BA, Brasil


Localised cutaneous leishmaniasis (LCL) is the most common form of cutaneous leishmaniasis characterised by single or multiple painless chronic ulcers, which commonly presents with secondary bacterial infection. Previous culture-based studies have found staphylococci, streptococci, and opportunistic pathogenic bacteria in LCL lesions, but there have been no comparisons to normal skin. In addition, this approach has strong bias for determining bacterial composition. The present study tested the hypothesis that bacterial communities in LCL lesions differ from those found on healthy skin (HS). Using a high throughput amplicon sequencing approach, which allows for better populational evaluation due to greater depth coverage and the Quantitative Insights Into Microbial Ecology pipeline, we compared the microbiological signature of LCL lesions with that of contralateral HS from the same individuals. Streptococcus, Staphylococcus, Fusobacterium and other strict or facultative anaerobic bacteria composed the LCL microbiome. Aerobic and facultative anaerobic bacteria found in HS, including environmental bacteria, were significantly decreased in LCL lesions (p < 0.01). This paper presents the first comprehensive microbiome identification from LCL lesions with next generation sequence methodology and shows a marked reduction of bacterial diversity in the lesions.

Financial support: CNPq (479717/2011-7), NIH (AI088650), iii-INCT, INCT-D
VRS was supported by fellowships from CNPq and CAPES.
VRS and ATLQ contributed equally to this work.
+ Corresponding author: This e-mail address is being protected from spambots. You need JavaScript enabled to view it.
Received 25 November 2015
Accepted 1 March 2016


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