The rewiring of transcriptional circuits over evolutionary time is a major source of biological novelty. This proposal seeks to determine the detailed molecular mechanisms that underlie transcriptional rewiring using unicellular yeasts as a model system. The strategy is based on direct experimentation in many different yeast species in the Saccharomycetaceae lineage, and utilizes genome-wide transcriptional profiling, chromatic immunoprecipitation, phylogenetic comparisons, and ancestral protein reconstructions. Circuit comparisons among these yeasts uncover specific examples of transcriptional rewiring, and deeper analyses reveal the molecular mechanisms by which the wiring changes occurred. Although much rewiring is probably neutral, some of it appears adaptive: indeed a major mechanism for evolutionary novelty involves rewiring transcriptional circuitry to allow new expression patterns of existing gene products. Thus, to truly understand the structures of transcription circuits in modern species, we need to know the mechanisms by which they rapidly evolve and how these mechanisms lead to and, thereby can account for, modern structures.

Public Health Relevance

A cell carefully regulates the transcription of each one of its many genes. In humans, abnormalities in this complex process (whether inherited or acquired) can lead to many diseases, including a variety of cancers. Plasticity in transcriptional circuitry is well documented in the progression of normal cells to cancer cells, and a deeper understanding of it will provide insights into recognizing and perhaps treating cases where it leads to aberrant physiologies.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM037049-33
Application #
9886541
Study Section
Genetic Variation and Evolution Study Section (GVE)
Program Officer
Phillips, Andre W
Project Start
1986-08-01
Project End
2024-08-31
Budget Start
2020-09-15
Budget End
2021-08-31
Support Year
33
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Sorrells, Trevor R; Johnson, Amanda N; Howard, Conor J et al. (2018) Intrinsic cooperativity potentiates parallel cis-regulatory evolution. Elife 7:
Johnson, Alexander D (2017) The rewiring of transcription circuits in evolution. Curr Opin Genet Dev 47:121-127
Dalal, Chiraj K; Johnson, Alexander D (2017) How transcription circuits explore alternative architectures while maintaining overall circuit output. Genes Dev 31:1397-1405
Nocedal, Isabel; Mancera, Eugenio; Johnson, Alexander D (2017) Gene regulatory network plasticity predates a switch in function of a conserved transcription regulator. Elife 6:
Hanson-Smith, Victor; Johnson, Alexander (2016) PhyloBot: A Web Portal for Automated Phylogenetics, Ancestral Sequence Reconstruction, and Exploration of Mutational Trajectories. PLoS Comput Biol 12:e1004976
Sorrells, Trevor R; Johnson, Alexander D (2015) Making sense of transcription networks. Cell 161:714-23
Sorrells, Trevor R; Booth, Lauren N; Tuch, Brian B et al. (2015) Intersecting transcription networks constrain gene regulatory evolution. Nature 523:361-5
Nocedal, Isabel; Johnson, Alexander D (2015) How Transcription Networks Evolve and Produce Biological Novelty. Cold Spring Harb Symp Quant Biol 80:265-74
Howard, Conor J; Hanson-Smith, Victor; Kennedy, Kristopher J et al. (2014) Ancestral resurrection reveals evolutionary mechanisms of kinase plasticity. Elife 3:
Baker, Christopher R; Hanson-Smith, Victor; Johnson, Alexander D (2013) Following gene duplication, paralog interference constrains transcriptional circuit evolution. Science 342:104-8

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