alexa New Methods For The Study Of Population Structure And Parallel Adaptive Evolution In Populations From Pooled Sequencing Data
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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4th International Conference on Proteomics & Bioinformatics
August 04-06, 2014 Hilton-Chicago/Northbrook, Chicago, USA

Hosseinali Asgharian
Accepted Abstracts: J Proteomics Bioinform
DOI: 10.4172/0974-276X.S1.074
Abstract
Population genetic inferences from pooled sequence data have gained much attention in recent years due to their cost efficiency. Resolving population structure and detecting targets of natural selection are cornerstones of such inferences. While most methods to study population structure rely on haplotype data, we present a haplotype-free method suited to the study of pooled sequences. Simple extensions of this method can identify genomic regions of introgression as well as its overall extent. Options for detecting differential selection across populations have been traditionally limited to comparing allele frequencies; most famously through Fst. Fst based methods are limited by the time depth of selection events they can pick up and heavy confounding by demographic events. We suggest a novel statistical approach that makes it possible to detect differential or parallel selection across populations. This approach is adaptable to all previously described metrics of selection from the allele-frequency-spectrum (AFS) based statistics to aminoacid-substitution-based ones. We show the efficacy of theseapproaches in a case study of eight Culex mosquito populations. We investigate population structure and compare the findings from an AFS-based sweep detection method to signals from aminoacid polymorphisms. Finally, we explore the biochemical and functional basis underlying the parallel patterns of polymorphism within the Culex histones H1 genes.
Biography
Hosseinali Asgharian completed his first PhD in biotechnology from the University of Tehran and is now getting his second PhD at the University of Southern California focusing on population and evolutionary genetics. He has leaded and participated in several research projects ranging from DNA barcoding to the evolution of gene expression variation in biological networks. He has served as ascientific referee for a number of reputed journals and prestigious international committees.
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