START domains generate paralog-specific regulons from a single network architecture

Ashton S. Holub, Sarah G. Choudury, Ekaterina P. Andrianova, Courtney E. Dresden, Ricardo Urquidi Camacho, Igor B. Zhulin and Aman Y. Husbands ()
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Ashton S. Holub: University of Pennsylvania
Sarah G. Choudury: University of Pennsylvania
Ekaterina P. Andrianova: The Ohio State University
Courtney E. Dresden: University of Pennsylvania
Ricardo Urquidi Camacho: University of Pennsylvania
Igor B. Zhulin: The Ohio State University
Aman Y. Husbands: University of Pennsylvania

Nature Communications, 2024, vol. 15, issue 1, 1-18

Abstract: Abstract Functional divergence of transcription factors (TFs) has driven cellular and organismal complexity throughout evolution, but its mechanistic drivers remain poorly understood. Here we test for new mechanisms using CORONA (CNA) and PHABULOSA (PHB), two functionally diverged paralogs in the CLASS III HOMEODOMAIN LEUCINE ZIPPER (HD-ZIPIII) family of TFs. We show that virtually all genes bound by PHB ( ~ 99%) are also bound by CNA, ruling out occupation of distinct sets of genes as a mechanism of functional divergence. Further, genes bound and regulated by both paralogs are almost always regulated in the same direction, ruling out opposite regulation of shared targets as a mechanistic driver. Functional divergence of CNA and PHB instead results from differential usage of shared binding sites, with hundreds of uniquely regulated genes emerging from a commonly bound genetic network. Regulation of a given gene by CNA or PHB is thus a function of whether a bound site is considered ‘responsive’ versus ‘non-responsive’ by each paralog. Discrimination between responsive and non-responsive sites is controlled, at least in part, by their lipid binding START domain. This suggests a model in which HD-ZIPIII TFs use information integrated by their START domain to generate paralog-specific transcriptional outcomes from a shared network architecture. Taken together, our study identifies a mechanism of HD-ZIPIII TF paralog divergence and proposes the ubiquitously distributed START evolutionary module as a driver of functional divergence.

Date: 2024
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DOI: 10.1038/s41467-024-54269-z

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