Comparative in-silico genome analysis of Leishmania (Leishmania) donovani: A step towards its species specificity
Abstract
Comparative genome analysis of recently sequenced Leishmania (L.) donovani was unexplored so far. The present study deals with the complete scanning of L. (L.) donovani genome revealing its interspecies variations. 60 distinctly present genes in L. (L.) donovani were identified when the whole genome was compared with Leishmania (L.) infantum. Similarly 72, 159, and 265 species specific genes were identified in L. (L.) donovani when compared to Leishmania (L.) major, Leishmania (L.) mexicana and Leishmania (Viannia) braziliensis respectively. The cross comparison of L. (L.) donovani in parallel with the other sequenced species of leishmanial led to the identification of 55 genes which are highly specific and expressed exclusively in L. (L.) donovani. We found mainly the discrepancies of surface proteins such as amastins, proteases, and peptidases. Also 415 repeat containing proteins in L. (L.) donovani and their differential distribution in other leishmanial species were identified which might have a potential role during pathogenesis. The genes identified can be evaluated as drug targets for anti-leishmanial treatment, exploring the scope for extensive future investigations.
Read the paper
Related studies
- Understanding the factors influencing fall armyworm (Spodoptera frugiperda J.E. Smith) damage in African smallholder maize fields and quantifying its impact on yield. A case study in Eastern Zimbabwe
- Alarming situation of emerging H5 and H7 avian influenza and effective control strategies
- Livestock and food security: vulnerability to population growth and climate change
- Atmosphere–ocean oxygen and productivity dynamics during early animal radiations
- Characterization of the global distribution and diversified plasmid reservoirs of the colistin resistance gene mcr-9
- The global seroprevalence of Toxoplasma gondii in pigs: A systematic review and meta-analysis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.