1. Whole-Genome Resequencing Reveals Extensive Natural Variation in the Model Green Alga Chlamydomonas reinhardtii
- Author
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Tayebeh Bahmani, Rasha Abdrabu, Elizabeth H. Harris, Basel Khraiwesh, Kourosh Salehi-Ashtiani, Michael D. Purugganan, Gina M. Pham, Erik F. Y. Hom, Jonathan M. Flowers, Ulises Rosas, David R. Nelson, Khaled M. Hazzouri, Paul A. Lefebvre, and Kenan Jijakli
- Subjects
Genetics ,Genetic diversity ,biology ,Chlamydomonas ,Genetic Variation ,Chlamydomonas reinhardtii ,Sequence assembly ,Cell Biology ,Plant Science ,biology.organism_classification ,Nucleotide diversity ,Mutation ,Genetic variation ,Gene family ,Large-Scale Biology Article ,human activities ,Gene ,Genome, Plant - Abstract
We performed whole-genome resequencing of 12 field isolates and eight commonly studied laboratory strains of the model organism Chlamydomonas reinhardtii to characterize genomic diversity and provide a resource for studies of natural variation. Our data support previous observations that Chlamydomonas is among the most diverse eukaryotic species. Nucleotide diversity is ∼3% and is geographically structured in North America with some evidence of admixture among sampling locales. Examination of predicted loss-of-function mutations in field isolates indicates conservation of genes associated with core cellular functions, while genes in large gene families and poorly characterized genes show a greater incidence of major effect mutations. De novo assembly of unmapped reads recovered genes in the field isolates that are absent from the CC-503 assembly. The laboratory reference strains show a genomic pattern of polymorphism consistent with their origin as the recombinant progeny of a diploid zygospore. Large duplications or amplifications are a prominent feature of laboratory strains and appear to have originated under laboratory culture. Extensive natural variation offers a new source of genetic diversity for studies of Chlamydomonas, including naturally occurring alleles that may prove useful in studies of gene function and the dissection of quantitative genetic traits.
- Published
- 2015
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