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Selection During Maize Domestication Targeted a Gene Network Controlling Plant and Inflorescence Architecture
Selection during evolution, whether natural or artificial, acts through the phenotype. For multifaceted phenotypes such as plant and inflorescence architecture, the underlying genetic architecture is comprised of a complex network of interacting genes rather than single genes that act independently...
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Published in: | Genetics (Austin) 2017-10, Vol.207 (2), p.755-765 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Selection during evolution, whether natural or artificial, acts through the phenotype. For multifaceted phenotypes such as plant and inflorescence architecture, the underlying genetic architecture is comprised of a complex network of interacting genes rather than single genes that act independently to determine the trait. As such, selection acts on entire gene networks. Here, we begin to define the genetic regulatory network to which the maize domestication gene,
(
), belongs. Using a combination of molecular methods to uncover either direct or indirect regulatory interactions, we identified a set of genes that lie downstream of
in a gene network regulating both plant and inflorescence architecture. Additional genes, known from the literature, also act in this network. We observed that
regulates both core cell cycle genes and another maize domestication gene,
(
). We show that several members of the MADS-box gene family are either directly or indirectly regulated by
and/or
, and that
sits atop a cascade of transcriptional regulators controlling both plant and inflorescence architecture. Multiple members of the
network appear to have been the targets of selection during maize domestication. Knowledge of the regulatory hierarchies controlling traits is central to understanding how new morphologies evolve. |
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ISSN: | 1943-2631 0016-6731 1943-2631 |
DOI: | 10.1534/genetics.117.300071 |