Literature DB >> 27396326

The Hidden Complexity of Mendelian Traits across Natural Yeast Populations.

Jing Hou1, Anastasie Sigwalt1, Téo Fournier1, David Pflieger1, Jackson Peter1, Jacky de Montigny1, Maitreya J Dunham2, Joseph Schacherer3.   

Abstract

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.
Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27396326      PMCID: PMC4963288          DOI: 10.1016/j.celrep.2016.06.048

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  41 in total

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Review 5.  Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression.

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8.  Quantitative Trait Nucleotides Impacting the Technological Performances of Industrial Saccharomyces cerevisiae Strains.

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9.  Extensive impact of low-frequency variants on the phenotypic landscape at population-scale.

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10.  Genome evolution across 1,011 Saccharomyces cerevisiae isolates.

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Journal:  Nature       Date:  2018-04-11       Impact factor: 49.962

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