AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiae

Song, G, Dickins, BJA ORCID: 0000-0002-0866-6232, Demeter, J, Engel, S, Dunn, B and Cherry, JM, 2015. AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiae. PLOS ONE, 10 (3), e0120671. ISSN 1932-6203

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Abstract

The characterization and public release of genome sequences from thousands of organ- isms is expanding the scope for genetic variation studies. However, understanding the
phenotypic consequences of genetic variation remains a challenge in eukaryotes due to the complexity of the genotype-phenotype map. One approach to this is the intensive study of model systems for which diverse sources of information can be accumulated and integrated. Saccharomyces cerevisiae is an extensively studied model organism, with well-known protein functions and thoroughly curated phenotype data. To develop and expand the available resources linking genomic variation with function in yeast, we aim to model the pan-genome of S. cerevisiae. To initiate the yeast pan-genome, we newly sequenced or re- sequenced the genomes of 25 strains that are commonly used in the yeast research community using advanced sequencing technology at high quality. We also developed a pipe- line for automated pan-genome analysis, which integrates the steps of assembly, annotation, and variation calling. To assign strain-specific functional annotations, we identified genes that were not present in the reference genome. We classified these according to their presence or absence across strains and characterized each group of genes with known functional and phenotypic features. The functional roles of novel genes not found in the reference genome and associated with strains or groups of strains appear to be consistent with anticipated adaptations in specific lineages. As more S . cerevisiae strain genomes are released, our analysis can be used to collate genome data and relate it to lineage-specific patterns of genome evolution. Our new tool set will enhance our understanding of genomic and functional evolution in S. cerevisiae, and will be available to the yeast genetics and molecular biology community.

Item Type: Journal article
Publication Title: PLOS ONE
Creators: Song, G., Dickins, B.J.A., Demeter, J., Engel, S., Dunn, B. and Cherry, J.M.
Publisher: PLoS (Public Library of Science)
Date: 2015
Volume: 10
Number: 3
ISSN: 1932-6203
Identifiers:
NumberType
10.1371/journal.pone.0120671DOI
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 16 Feb 2016 15:56
Last Modified: 09 Jun 2017 13:59
URI: http://irep.ntu.ac.uk/id/eprint/26980

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