The Hidden Complexity of Mendelian Traits across Natural Yeast Populations
Author(s) -
Jing Hou,
Anastasie Sigwalt,
Téo Fournier,
David Pflieger,
Jackson Peter,
Jacky de Montigny,
Maitreya J. Dunham,
Joseph Schacherer
Publication year - 2016
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2016.06.048
Subject(s) - mendelian inheritance , biology , non mendelian inheritance , genetics , evolutionary biology , trait , phenotype , population , phenotypic trait , gene , demography , sociology , computer science , mitochondrial dna , programming language
Mendelian traits are considered to be at the lower end of the complexity spectrum of heritable phenotypes. However, more than a century after the rediscovery of Mendel's law, the global landscape of monogenic variants, as well as their effects and inheritance patterns within natural populations, is still not well understood. Using the yeast Saccharomyces cerevisiae, we performed a species-wide survey of Mendelian traits across a large population of isolates. We generated offspring from 41 unique parental pairs and analyzed 1,105 cross/trait combinations. We found that 8.9% of the cases were Mendelian. Further tracing of causal variants revealed background-specific expressivity and modified inheritances, gradually transitioning from Mendelian to complex traits in 30% of the cases. In fact, when taking into account the natural population diversity, the hidden complexity of traits could be substantial, confounding phenotypic predictability even for simple Mendelian traits.
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