@ARTICLE{TreeBASE2Ref24609,
author = {John Francis Wolters and Kenneth Chiu and Heather Fiumera},
title = {Population structure of mitochondrial genomes in Saccharomyces cerevisiae},
year = {2015},
keywords = {},
doi = {},
url = {http://},
pmid = {},
journal = {BMC Genomics},
volume = {},
number = {},
pages = {},
abstract = {Background
Rigorous study of mitochondrial functions and cell biology in the budding yeast,
Saccharomyces cerevisiae has advanced our understanding of mitochondrial genetics.
This yeast is now a powerful model for population genetics, owing to large genetic
diversity and highly structured populations among wild isolates. Comparative
mitochondrial genomic analyses between yeast species have revealed broad evolutionary
changes in genome organization and architecture. A fine-scale view of recent
evolutionary changes within S. cerevisiae has not been possible due to low numbers of
complete mitochondrial sequences.
Results
To address challenges of sequencing AT-rich and repetitive mitochondrial DNAs
(mtDNAs), we sequenced two divergent S. cerevisiae mtDNAs using a single-molecule
sequencing platform (PacBio RS). Using de novo assemblies, we generated highly
accurate complete mtDNA sequences. These mtDNA sequences were compared with 98
additional mtDNA sequences gathered from various published collections. Phylogenies
based on mitochondrial coding sequences and intron profiles revealed that intraspecific
diversity in mitochondrial genomes generally recapitulated the population structure of
nuclear genomes. Analysis of intergenic sequence indicated a recent expansion of mobile
elements in certain populations. Additionally, our analyses revealed that certain
populations lacked introns previously believed conserved throughout the species, as well
as the presence of introns never before reported in S. cerevisiae.
Conclusions
Our results revealed that the extensive variation in S. cerevisiae mtDNAs is often
population specific, thus offering a window into the recent evolutionary processes
shaping these genomes. In addition, we offer an effective strategy for sequencing these
challenging AT-rich mitochondrial genomes for small scale projects.}
}