Application of Bioinformatics in molecular data analysis for Leishmania major vector Phlebotomus papatasi sand fly

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2010-09-26
Authors
Omar Hamarsheh
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<p>Three molecular typing tools: multi-locus microsatellite typing, cytochrome b and internal<br /> transcribed spacer II sequence analysis, have been evaluated using bioinformatics application<br /> for their usefulness to infer population structure of P. papatasi sand flies. Microsatellite<br /> markers showed high resolution power for differentiating globally distributed P. papatasi<br /> populations, whereas analysis of cytochrome. b sequences provided insight into relationships<br /> of closely related populations from the Mediterranean. Population structure, differentiation,<br /> and demographic history among P. papatasi populations are important to understand patterns<br /> of dispersal in this species and for planning appropriate control measures.</p>
<p>Three molecular typing tools: multi-locus microsatellite typing, cytochrome b and internal<br /> transcribed spacer II sequence analysis, have been evaluated using bioinformatics application<br /> for their usefulness to infer population structure of P. papatasi sand flies. Microsatellite<br /> markers showed high resolution power for differentiating globally distributed P. papatasi<br /> populations, whereas analysis of cytochrome. b sequences provided insight into relationships<br /> of closely related populations from the Mediterranean. Population structure, differentiation,<br /> and demographic history among P. papatasi populations are important to understand patterns<br /> of dispersal in this species and for planning appropriate control measures.</p>
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