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Thomas J Sharpton


thomas.sharpton@gmail.com

Journal articles

2011
Thomas J Sharpton, Samantha J Riesenfeld, Steven W Kembel, Joshua Ladau, James P O'Dwyer, Jessica L Green, Jonathan A Eisen, Katherine S Pollard (2011)  PhylOTU: a high-throughput procedure quantifies microbial community diversity and resolves novel taxa from metagenomic data.   PLoS Comput Biol 7: 1. 01  
Abstract: Microbial diversity is typically characterized by clustering ribosomal RNA (SSU-rRNA) sequences into operational taxonomic units (OTUs). Targeted sequencing of environmental SSU-rRNA markers via PCR may fail to detect OTUs due to biases in priming and amplification. Analysis of shotgun sequenced environmental DNA, known as metagenomics, avoids amplification bias but generates fragmentary, non-overlapping sequence reads that cannot be clustered by existing OTU-finding methods. To circumvent these limitations, we developed PhylOTU, a computational workflow that identifies OTUs from metagenomic SSU-rRNA sequence data through the use of phylogenetic principles and probabilistic sequence profiles. Using simulated metagenomic data, we quantified the accuracy with which PhylOTU clusters reads into OTUs. Comparisons of PCR and shotgun sequenced SSU-rRNA markers derived from the global open ocean revealed that while PCR libraries identify more OTUs per sequenced residue, metagenomic libraries recover a greater taxonomic diversity of OTUs. In addition, we discover novel species, genera and families in the metagenomic libraries, including OTUs from phyla missed by analysis of PCR sequences. Taken together, these results suggest that PhylOTU enables characterization of part of the biosphere currently hidden from PCR-based surveys of diversity?
Notes:
2010
Daniel E Neafsey, Bridget M Barker, Thomas J Sharpton, Jason E Stajich, Daniel J Park, Emily Whiston, Chiung-Yu Hung, Cody McMahan, Jared White, Sean Sykes, David Heiman, Sarah Young, Qiandong Zeng, Amr Abouelleil, Lynne Aftuck, Daniel Bessette, Adam Brown, Michael FitzGerald, Annie Lui, J Pendexter Macdonald, Margaret Priest, Marc J Orbach, John N Galgiani, Theo N Kirkland, Garry T Cole, Bruce W Birren, Matthew R Henn, John W Taylor, Steven D Rounsley (2010)  Population genomic sequencing of Coccidioides fungi reveals recent hybridization and transposon control.   Genome Res 20: 7. 938-946 Jul  
Abstract: We have sequenced the genomes of 18 isolates of the closely related human pathogenic fungi Coccidioides immitis and Coccidioides posadasii to more clearly elucidate population genomic structure, bringing the total number of sequenced genomes for each species to 10. Our data confirm earlier microsatellite-based findings that these species are genetically differentiated, but our population genomics approach reveals that hybridization and genetic introgression have recently occurred between the two species. The directionality of introgression is primarily from C. posadasii to C. immitis, and we find more than 800 genes exhibiting strong evidence of introgression in one or more sequenced isolates. We performed PCR-based sequencing of one region exhibiting introgression in 40 C. immitis isolates to confirm and better define the extent of gene flow between the species. We find more coding sequence than expected by chance in the introgressed regions, suggesting that natural selection may play a role in the observed genetic exchange. We find notable heterogeneity in repetitive sequence composition among the sequenced genomes and present the first detailed genome-wide profile of a repeat-induced point mutation (RIP) process distinctly different from what has been observed in Neurospora. We identify promiscuous HLA-I and HLA-II epitopes in both proteomes and discuss the possible implications of introgression and population genomic data for public health and vaccine candidate prioritization. This study highlights the importance of population genomic data for detecting subtle but potentially important phenomena such as introgression.
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2009
Thomas J Sharpton, Jason E Stajich, Steven D Rounsley, Malcolm J Gardner, Jennifer R Wortman, Vinita S Jordar, Rama Maiti, Chinnappa D Kodira, Daniel E Neafsey, Qiandong Zeng, Chiung-Yu Hung, Cody McMahan, Anna Muszewska, Marcin Grynberg, M Alejandra Mandel, Ellen M Kellner, Bridget M Barker, John N Galgiani, Marc J Orbach, Theo N Kirkland, Garry T Cole, Matthew R Henn, Bruce W Birren, John W Taylor (2009)  Comparative genomic analyses of the human fungal pathogens Coccidioides and their relatives.   Genome Res 19: 10. 1722-1731 Oct  
Abstract: While most Ascomycetes tend to associate principally with plants, the dimorphic fungi Coccidioides immitis and Coccidioides posadasii are primary pathogens of immunocompetent mammals, including humans. Infection results from environmental exposure to Coccidiodies, which is believed to grow as a soil saprophyte in arid deserts. To investigate hypotheses about the life history and evolution of Coccidioides, the genomes of several Onygenales, including C. immitis and C. posadasii; a close, nonpathogenic relative, Uncinocarpus reesii; and a more diverged pathogenic fungus, Histoplasma capsulatum, were sequenced and compared with those of 13 more distantly related Ascomycetes. This analysis identified increases and decreases in gene family size associated with a host/substrate shift from plants to animals in the Onygenales. In addition, comparison among Onygenales genomes revealed evolutionary changes in Coccidioides that may underlie its infectious phenotype, the identification of which may facilitate improved treatment and prevention of coccidioidomycosis. Overall, the results suggest that Coccidioides species are not soil saprophytes, but that they have evolved to remain associated with their dead animal hosts in soil, and that Coccidioides metabolism genes, membrane-related proteins, and putatively antigenic compounds have evolved in response to interaction with an animal host.
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2008
Thomas J Sharpton, Daniel E Neafsey, James E Galagan, John W Taylor (2008)  Mechanisms of intron gain and loss in Cryptococcus.   Genome Biol 9: 1. 01  
Abstract: Genome comparisons across deep phylogenetic divergences have revealed that spliceosomal intron gain and loss are common evolutionary events. However, because of the deep divergences involved in these comparisons, little is understood about how these changes occur, particularly in the case of intron gain. To ascertain mechanisms of intron gain and loss, we compared five relatively closely related genomes from the yeast Cryptococcus.
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2006
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