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Cooper DG, Liu S, Grunkemeyer E, Fassler JS. The Role of Med15 Sequence Features in Transcription Factor Interactions. Mol Cell Biol 2024; 45:59-78. [PMID: 39717019 DOI: 10.1080/10985549.2024.2436672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 11/25/2024] [Accepted: 11/26/2024] [Indexed: 12/25/2024] Open
Abstract
Med15 is a general transcriptional regulator and tail module subunit within the RNA Pol II mediator complex. The Saccharomyces cerevisiae Med15 protein has a well-structured N-terminal KIX domain, three activator binding domains (ABDs) and several naturally variable polyglutamine (poly-Q) tracts (Q1, Q2, Q3) embedded in an intrinsically disordered central region, and a C-terminal mediator association domain (MAD). We investigated how the presence of ABDs and changes in length and composition of poly-Q tracts influences Med15 activity using phenotypic, gene expression, transcription factor interaction and phase separation assays of truncation, deletion, and synthetic alleles. We found that individual Med15 activities were influenced by the number of activator binding domains (ABDs) and adjacent polyglutamine tract composition. Robust Med15 activity required at least the Q1 tract and the length of that tract modulated activity in a context-dependent manner. Reduced Msn2-dependent transcriptional activation due to Med15 Q1 tract variation correlated with reduced Msn2:Med15 interaction strength, but interaction strength did not always mirror phase separation propensity. We also observed that distant glutamine tracts and Med15 phosphorylation affected the activities of the KIX domain, and interaction studies revealed that intramolecular interactions may affect some Med15-transcription factor interactions.
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Affiliation(s)
- David G Cooper
- Department of Biology, University of Iowa, Iowa City, Iowa, USA
- Department of Pharmaceutical Sciences, Butler University, Indianapolis, Indiana, USA
| | - Shulin Liu
- Department of Biology, University of Iowa, Iowa City, Iowa, USA
| | | | - Jan S Fassler
- Department of Biology, University of Iowa, Iowa City, Iowa, USA
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2
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Cooper DG, Jiang Y, Skuodas S, Wang L, Fassler JS. Possible Role for Allelic Variation in Yeast MED15 in Ecological Adaptation. Front Microbiol 2021; 12:741572. [PMID: 34733258 PMCID: PMC8558680 DOI: 10.3389/fmicb.2021.741572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
The propensity for Saccharomyces cerevisiae yeast to ferment sugars into ethanol and CO2 has long been useful in the production of a wide range of food and drink. In the production of alcoholic beverages, the yeast strain selected for fermentation is crucial because not all strains are equally proficient in tolerating fermentation stresses. One potential mechanism by which domesticated yeast may have adapted to fermentation stresses is through changes in the expression of stress response genes. MED15 is a general transcriptional regulator and RNA Pol II Mediator complex subunit which modulates the expression of many metabolic and stress response genes. In this study, we explore the role of MED15 in alcoholic fermentation. In addition, we ask whether MED15 alleles from wine, sake or palm wine yeast improve fermentation activity and grape juice fermentation stress responses. And last, we investigate to what extent any differences in activity are due to allelic differences in the lengths of three polyglutamine tracts in MED15. We find that strains lacking MED15 are deficient in fermentation and fermentation stress responses and that MED15 alleles from alcoholic beverage yeast strains can improve both the fermentation capacity and the response to ethanol stresses when transplanted into a standard laboratory strain. Finally, we find that polyglutamine tract length in the Med15 protein is one determinant in the efficiency of the alcoholic fermentation process. These data lead to a working model in which polyglutamine tract length and other types of variability within transcriptional hubs like the Mediator subunit, Med15, may contribute to a reservoir of transcriptional profiles that may provide a fitness benefit in the face of environmental fluctuations.
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Affiliation(s)
- David G Cooper
- Biology Department, University of Iowa, Iowa City, IA, United States
| | - Yishuo Jiang
- Biology Department, University of Iowa, Iowa City, IA, United States
| | - Sydney Skuodas
- Biology Department, University of Iowa, Iowa City, IA, United States
| | - Luying Wang
- Biology Department, University of Iowa, Iowa City, IA, United States
| | - Jan S Fassler
- Biology Department, University of Iowa, Iowa City, IA, United States
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3
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Reinar WB, Lalun VO, Reitan T, Jakobsen KS, Butenko MA. Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana. THE PLANT CELL 2021; 33:2221-2234. [PMID: 33848350 PMCID: PMC8364236 DOI: 10.1093/plcell/koab107] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
The genetic basis for the fine-tuned regulation of gene expression is complex and ultimately influences the phenotype and thus the local adaptation of natural populations. Short tandem repeats (STRs) consisting of repetitive DNA motifs have been shown to regulate gene expression. STRs are variable in length within a population and serve as a heritable, but semi-reversible, reservoir of standing genetic variation. For sessile organisms, such as plants, STRs could be of major importance in fine-tuning gene expression as a response to a shifting local environment. Here, we used a transcriptome dataset from natural accessions of Arabidopsis thaliana to investigate population-wide gene expression patterns in light of genome-wide STR variation. We empirically modeled gene expression as a response to the STR length within and around the gene and demonstrated that an association between gene expression and STR length variation is unequivocally present in the sampled population. To support our model, we explored the promoter activity in a transcriptional regulator involved in root hair formation and provided experimentally determined causality between coding sequence length variation and promoter activity. Our results support a general link between gene expression variation and STR length variation in A. thaliana.
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Affiliation(s)
- William B. Reinar
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, 0316 Oslo, Norway
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0316 Oslo, Norway
| | - Vilde O. Lalun
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, 0316 Oslo, Norway
| | - Trond Reitan
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0316 Oslo, Norway
| | - Kjetill S. Jakobsen
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0316 Oslo, Norway
| | - Melinka A. Butenko
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, 0316 Oslo, Norway
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4
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Xie M, Zhang J, Yao T, Bryan AC, Pu Y, Labbé J, Pelletier DA, Engle N, Morrell‐Falvey JL, Schmutz J, Ragauskas AJ, Tschaplinski TJ, Chen F, Tuskan GA, Muchero W, Chen J. Arabidopsis C-terminal binding protein ANGUSTIFOLIA modulates transcriptional co-regulation of MYB46 and WRKY33. THE NEW PHYTOLOGIST 2020; 228:1627-1639. [PMID: 32706429 PMCID: PMC7692920 DOI: 10.1111/nph.16826] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/26/2020] [Indexed: 05/04/2023]
Abstract
The apparent antagonism between salicylic acid (SA) and jasmonic acid (JA)/ethylene (ET) signalling resulting in trade-offs between defence against (hemi)biotrophic and necrotrophic pathogens has been widely described across multiple plant species. However, the underlying mechanism remains to be fully established. The molecular and cellular functions of ANGUSTIFOLIA (AN) were characterised, and its role in regulating the pathogenic response was studied in Arabidopsis. We demonstrated that AN, a plant homologue of mammalian C-TERMINAL BINDING PROTEIN (CtBP), antagonistically regulates plant resistance to the hemibiotrophic pathogen Pseudomonas syringae and the necrotrophic pathogen Botrytis cinerea. Consistent with phenotypic observations, transcription of genes involved in SA and JA/ET pathways was antagonistically regulated by AN. By interacting with another nuclear protein TYROSYL-DNA PHOSPHODIESTERASE1 (TDP1), AN imposes transcriptional repression on MYB46, encoding a transcriptional activator of PHENYLALANINE AMMONIA-LYASE (PAL) genes which are required for SA biosynthesis, while releasing TDP1-imposed transcriptional repression on WRKY33, a master regulator of the JA/ET signalling pathway. These findings demonstrate that transcriptional co-regulation of MYB46 and WRKY33 by AN mediates the coordination of SA and JA/ET pathways to optimise defences against (hemi)biotrophic and necrotrophic pathogens.
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Affiliation(s)
- Meng Xie
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
- Department of Plant SciencesUniversity of TennesseeKnoxvilleTN37996USA
- Biology DepartmentBrookhaven National LaboratoryUptonNY11973USA
| | - Jin Zhang
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Tao Yao
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Anthony C. Bryan
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Yunqiao Pu
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Jessy Labbé
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Dale A. Pelletier
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Nancy Engle
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | | | - Jeremy Schmutz
- US Department of Energy Joint Genome InstituteBerkeleyCA94720USA
- HudsonAlpha Institute for BiotechnologyHuntsvilleAL35806USA
| | - Arthur J. Ragauskas
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
- UT‐ORNL Joint Institute for Biological ScienceOak Ridge National LaboratoryOak RidgeTN37831USA
- Department of Chemical and Biomolecular Engineering & Department of Forestry, Wildlife, and FisheriesUniversity of TennesseeKnoxvilleTN37996USA
| | - Timothy J. Tschaplinski
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Feng Chen
- Department of Plant SciencesUniversity of TennesseeKnoxvilleTN37996USA
| | - Gerald A. Tuskan
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Wellington Muchero
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
| | - Jin‐Gui Chen
- Biosciences DivisionOak Ridge National LaboratoryOak RidgeTN37831USA
- BioEnergy Science CenterOak Ridge National LaboratoryOak RidgeTN37831USA
- Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTN37831USA
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5
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Weighill D, Tschaplinski TJ, Tuskan GA, Jacobson D. Data Integration in Poplar: 'Omics Layers and Integration Strategies. Front Genet 2019; 10:874. [PMID: 31608114 PMCID: PMC6773870 DOI: 10.3389/fgene.2019.00874] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 08/20/2019] [Indexed: 12/20/2022] Open
Abstract
Populus trichocarpa is an important biofuel feedstock that has been the target of extensive research and is emerging as a model organism for plants, especially woody perennials. This research has generated several large ‘omics datasets. However, only few studies in Populus have attempted to integrate various data types. This review will summarize various ‘omics data layers, focusing on their application in Populus species. Subsequently, network and signal processing techniques for the integration and analysis of these data types will be discussed, with particular reference to examples in Populus.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Timothy J Tschaplinski
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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6
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Cooper DG, Fassler JS. Med15: Glutamine-Rich Mediator Subunit with Potential for Plasticity. Trends Biochem Sci 2019; 44:737-751. [PMID: 31036407 DOI: 10.1016/j.tibs.2019.03.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/16/2019] [Accepted: 03/25/2019] [Indexed: 02/07/2023]
Abstract
The Mediator complex is required for basal activity of the RNA polymerase (Pol) II transcriptional apparatus and for responsiveness to some activator proteins. Med15, situated in the Mediator tail, plays a role in transmitting regulatory information from distant DNA-bound transcription factors to the transcriptional apparatus poised at promoters. Yeast Med15 and its orthologs share an unusual, glutamine-rich amino acid composition. Here, we discuss this sequence feature and the tendency of polyglutamine tracts to vary in length among strains of Saccharomyces cerevisiae, and we propose that different polyglutamine tract lengths may be adaptive within certain domestication habitats.
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Affiliation(s)
- David G Cooper
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Jan S Fassler
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA.
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7
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Tuskan GA, Mewalal R, Gunter LE, Palla KJ, Carter K, Jacobson DA, Jones PC, Garcia BJ, Weighill DA, Hyatt PD, Yang Y, Zhang J, Reis N, Chen JG, Muchero W. Defining the genetic components of callus formation: A GWAS approach. PLoS One 2018; 13:e0202519. [PMID: 30118526 PMCID: PMC6097687 DOI: 10.1371/journal.pone.0202519] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 08/03/2018] [Indexed: 12/26/2022] Open
Abstract
A characteristic feature of plant cells is the ability to form callus from parenchyma cells in response to biotic and abiotic stimuli. Tissue culture propagation of recalcitrant plant species and genetic engineering for desired phenotypes typically depends on efficient in vitro callus generation. Callus formation is under genetic regulation, and consequently, a molecular understanding of this process underlies successful generation for propagation materials and/or introduction of genetic elements in experimental or industrial applications. Herein, we identified 11 genetic loci significantly associated with callus formation in Populus trichocarpa using a genome-wide association study (GWAS) approach. Eight of the 11 significant gene associations were consistent across biological replications, exceeding a chromosome-wide-log10 (p) = 4.46 [p = 3.47E-05] Bonferroni-adjusted significance threshold. These eight genes were used as hub genes in a high-resolution co-expression network analysis to gain insight into the genome-wide basis of callus formation. A network of positively and negatively co-expressed genes, including several transcription factors, was identified. As proof-of-principle, a transient protoplast assay confirmed the negative regulation of a Chloroplast Nucleoid DNA-binding-related gene (Potri.018G014800) by the LEC2 transcription factor. Many of the candidate genes and co-expressed genes were 1) linked to cell division and cell cycling in plants and 2) showed homology to tumor and cancer-related genes in humans. The GWAS approach based on a high-resolution marker set, and the ability to manipulate targets genes in vitro, provided a catalog of high-confidence genes linked to callus formation that can serve as an important resource for successful manipulation of model and non-model plant species, and likewise, suggests a robust method of discovering common homologous functions across organisms.
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Affiliation(s)
- Gerald A Tuskan
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Ritesh Mewalal
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, United States of America
| | - Lee E Gunter
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Kaitlin J Palla
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Kelsey Carter
- School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, United States of America
| | - Daniel A Jacobson
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Piet C Jones
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America.,Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Benjamin J Garcia
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Deborah A Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America.,Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Philip D Hyatt
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Yongil Yang
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Jin Zhang
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Nicholas Reis
- Oak Ridge Associated Universities, Oak Ridge, Tennessee, United States of America
| | - Jin-Gui Chen
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Wellington Muchero
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
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