Abstract

It was recently shown that monotone gene action, i.e., order-preservation between allele content and corresponding genotypic values in the mapping from genotypes to phenotypes, is a prerequisite for achieving a predictable parent-offspring relationship across the whole allele frequency spectrum. Here we test the consequential prediction that the design principles underlying gene regulatory networks are likely to generate highly monotone genotype-phenotype maps. To this end we present two measures of the monotonicity of a genotype-phenotype map, one based on allele substitution effects, and the other based on isotonic regression. We apply these measures to genotype-phenotype maps emerging from simulations of 1881 different 3-gene regulatory networks. We confirm that in general, genotype-phenotype maps are indeed highly monotonic across network types. However, regulatory motifs involving incoherent feedforward or positive feedback, as well as pleiotropy in the mapping between genotypes and gene regulatory parameters, are clearly predisposed for generating non-monotonicity. We present analytical results confirming these deep connections between molecular regulatory architecture and monotonicity properties of the genotype-phenotype map. These connections seem to be beyond reach by the classical distinction between additive and non-additive gene action.

Highlights

  • Quantitative genetics is the major theoretical foundation for genetic studies in production biology, evolutionary biology, and biomedicine

  • Quantitative genetics provides a mature machinery for predicting the population level consequences of a given GP map, but in order to understand several generic genetic phenomena there is a stated need for new tools for disclosing how the shape of the GP map is determined by underlying biology (Jaeger et al, 2012; Moore, 2012; Gjuvsland et al, 2013)

  • ON MONOTONICITY OF GP MAPS To ease understanding we provide a brief recapitulation of the concept of monotonicity in GP maps introduced in (Gjuvsland et al, 2011)

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Summary

Introduction

Quantitative genetics is the major theoretical foundation for genetic studies in production biology, evolutionary biology, and biomedicine. Gjuvsland et al (2011) showed that a key feature of GP maps that give high ratios of additive to genotypic variance (VA/VG), is a monotone (or order-preserving) relation between gene content (the number of alleles of a given type) and phenotype.

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