A computational approach to estimating nondisjunction frequency in Saccharomyces cerevisiae

Daniel B. Chu, Sean M. Burgess

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Errors segregating homologous chromosomes during meiosis result in aneuploid gametes and are the largest contributing factor to birth defects and spontaneous abortions in humans. Saccharomyces cerevisiae has long served as a model organism for studying the gene network supporting normal chromosome segregation. Measuring homolog nondisjunction frequencies is laborious, and involves dissecting thousands of tetrads to detect missegregation of individually marked chromosomes. Here we describe a computational method (TetFit) to estimate the relative contributions of meiosis I nondisjunction and random- spore death to spore inviability in wild type and mutant strains. These values are based on finding the best-fit distribution of 4, 3, 2, 1, and 0 viable-spore tetrads to an observed distribution. Using TetFit, we found that meiosis I nondisjunction is an intrinsic component of spore inviability in wild-type strains. We show proof-of-principle that the calculated average meiosis I nondisjunction frequency determined by TetFit closely matches empirically determined values in mutant strains. Using these published data sets, TetFit uncovered two classes of mutants: Class A mutants skew toward increased nondisjunction death, and include those with known defects in establishing pairing, recombination, and/or synapsis of homologous chromosomes. Class B mutants skew toward random spore death, and include those with defects in sister-chromatid cohesion and centromere function. Epistasis analysis using TetFit is facilitated by the low numbers of tetrads (as few as 200) required to compare the contributions to spore death in different mutant backgrounds. TetFit analysis does not require any special strain construction, and can be applied to previously observed tetrad distributions.

Original languageEnglish (US)
Pages (from-to)669-682
Number of pages14
JournalG3: Genes, Genomes, Genetics
Volume6
Issue number3
StatePublished - 2016

Fingerprint

Spores
Saccharomyces cerevisiae
Meiosis
Chromosomes
Chromosome Pairing
Chromosome Segregation
Chromatids
Centromere
Gene Regulatory Networks
Aneuploidy
Spontaneous Abortion
Germ Cells
Genetic Recombination

Keywords

  • Budding yeast
  • Meiosis
  • Nondisjunction
  • Precocious sister chromatid separation
  • Tetrad analysis

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology
  • Genetics(clinical)

Cite this

A computational approach to estimating nondisjunction frequency in Saccharomyces cerevisiae. / Chu, Daniel B.; Burgess, Sean M.

In: G3: Genes, Genomes, Genetics, Vol. 6, No. 3, 2016, p. 669-682.

Research output: Contribution to journalArticle

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