Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence
Abstract
Understanding the regulatory network controlling cell wall biosynthesis is of great interest in Populus trichocarpa, both because of its status as a model woody perennial and its importance for lignocellulosic products. We searched for genes with putatively unknown roles in regulating cell wall biosynthesis using an extended network-based Lines of Evidence (LOE) pipeline to combine multiple omics data sets in P. trichocarpa, including gene coexpression, gene comethylation, population level pairwise SNP correlations, and two distinct SNP-metabolite Genome Wide Association Study (GWAS) layers. By incorporating validation, ranking, and filtering approaches we produced a list of nine high priority gene candidates for involvement in the regulation of cell wall biosynthesis. We subsequently performed a detailed investigation of candidate gene GROWTH-REGULATING FACTOR 9 (PtGRF9). To investigate the role of PtGRF9 in regulating cell wall biosynthesis, we assessed the genome-wide connections of PtGRF9 and a paralog across data layers with functional enrichment analyses, predictive transcription factor binding site analysis, and an independent comparison to eQTN data. Our findings indicate that PtGRF9 likely affects the cell wall by directly repressing genes involved in cell wall biosynthesis, such as PtCCoAOMT and PtMYB.41, and indirectly by regulating homeobox genes. Furthermore, evidence suggests that PtGRF9 paralogs may actmore »
- Authors:
-
more »
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Oak Ridge Associated Univ. (ORAU), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Oak Ridge Associated Univ. (ORAU), Oak Ridge, TN (United States); Johns Hopkins Univ., Baltimore, MD (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States). Univ. of Tennessee Inst. of Agriculture
- USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States)
- HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States)
- West Virginia Univ., Morgantown, WV (United States)
- Univ. of Tennessee, Knoxville, TN (United States). Univ. of Tennessee Inst. of Agriculture
- Univ. of North Texas, Denton, TX (United States). BioDiscovery Inst.
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1633173
- Alternate Identifier(s):
- OSTI ID: 1616073
- Grant/Contract Number:
- AC05-00OR22725; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Frontiers in Plant Science
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: n/a; Journal ID: ISSN 1664-462X
- Publisher:
- Frontiers Research Foundation
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; lines of evidence; cell wall; regulation; Genome Wide Association Study; candidate gene identification; network analysis; multi-omic; Populus trichocarpa
Citation Formats
Furches, Anna K., Kainer, David, Weighill, Deborah, Large, Annabel L., Jones, Piet C., Walker, Angelica M., Romero, Jonathon C., Gazolla, Joao Gabriel Felipe Machado, Joubert, Wayne, Shah, Manesh, Streich, Jared C., Ranjan, Priya, Schmutz, Jeremy, Sreedasyam, Avinash, Macaya-Sanz, David, Zhao, Nan, Martin, Madhavi Z., Rao, Xiaolan, Dixon, Richard A., DiFazio, Stephen, Tschaplinski, Timothy J., Chen, Jin-Gui, Tuskan, Gerald A., and Jacobson, Daniel A. Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence. United States: N. p., 2019.
Web. doi:10.3389/fpls.2019.01249.
Furches, Anna K., Kainer, David, Weighill, Deborah, Large, Annabel L., Jones, Piet C., Walker, Angelica M., Romero, Jonathon C., Gazolla, Joao Gabriel Felipe Machado, Joubert, Wayne, Shah, Manesh, Streich, Jared C., Ranjan, Priya, Schmutz, Jeremy, Sreedasyam, Avinash, Macaya-Sanz, David, Zhao, Nan, Martin, Madhavi Z., Rao, Xiaolan, Dixon, Richard A., DiFazio, Stephen, Tschaplinski, Timothy J., Chen, Jin-Gui, Tuskan, Gerald A., & Jacobson, Daniel A. Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence. United States. https://doi.org/10.3389/fpls.2019.01249
Furches, Anna K., Kainer, David, Weighill, Deborah, Large, Annabel L., Jones, Piet C., Walker, Angelica M., Romero, Jonathon C., Gazolla, Joao Gabriel Felipe Machado, Joubert, Wayne, Shah, Manesh, Streich, Jared C., Ranjan, Priya, Schmutz, Jeremy, Sreedasyam, Avinash, Macaya-Sanz, David, Zhao, Nan, Martin, Madhavi Z., Rao, Xiaolan, Dixon, Richard A., DiFazio, Stephen, Tschaplinski, Timothy J., Chen, Jin-Gui, Tuskan, Gerald A., and Jacobson, Daniel A. Tue .
"Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence". United States. https://doi.org/10.3389/fpls.2019.01249. https://www.osti.gov/servlets/purl/1633173.
@article{osti_1633173,
title = {Finding New Cell Wall Regulatory Genes in Populus trichocarpa Using Multiple Lines of Evidence},
author = {Furches, Anna K. and Kainer, David and Weighill, Deborah and Large, Annabel L. and Jones, Piet C. and Walker, Angelica M. and Romero, Jonathon C. and Gazolla, Joao Gabriel Felipe Machado and Joubert, Wayne and Shah, Manesh and Streich, Jared C. and Ranjan, Priya and Schmutz, Jeremy and Sreedasyam, Avinash and Macaya-Sanz, David and Zhao, Nan and Martin, Madhavi Z. and Rao, Xiaolan and Dixon, Richard A. and DiFazio, Stephen and Tschaplinski, Timothy J. and Chen, Jin-Gui and Tuskan, Gerald A. and Jacobson, Daniel A.},
abstractNote = {Understanding the regulatory network controlling cell wall biosynthesis is of great interest in Populus trichocarpa, both because of its status as a model woody perennial and its importance for lignocellulosic products. We searched for genes with putatively unknown roles in regulating cell wall biosynthesis using an extended network-based Lines of Evidence (LOE) pipeline to combine multiple omics data sets in P. trichocarpa, including gene coexpression, gene comethylation, population level pairwise SNP correlations, and two distinct SNP-metabolite Genome Wide Association Study (GWAS) layers. By incorporating validation, ranking, and filtering approaches we produced a list of nine high priority gene candidates for involvement in the regulation of cell wall biosynthesis. We subsequently performed a detailed investigation of candidate gene GROWTH-REGULATING FACTOR 9 (PtGRF9). To investigate the role of PtGRF9 in regulating cell wall biosynthesis, we assessed the genome-wide connections of PtGRF9 and a paralog across data layers with functional enrichment analyses, predictive transcription factor binding site analysis, and an independent comparison to eQTN data. Our findings indicate that PtGRF9 likely affects the cell wall by directly repressing genes involved in cell wall biosynthesis, such as PtCCoAOMT and PtMYB.41, and indirectly by regulating homeobox genes. Furthermore, evidence suggests that PtGRF9 paralogs may act as transcriptional co-regulators that direct the global energy usage of the plant. Using our extended pipeline, we show multiple lines of evidence implicating the involvement of these genes in cell wall regulatory functions and demonstrate the value of this method for prioritizing candidate genes for experimental validation.},
doi = {10.3389/fpls.2019.01249},
journal = {Frontiers in Plant Science},
number = n/a,
volume = 10,
place = {United States},
year = {Tue Oct 08 00:00:00 EDT 2019},
month = {Tue Oct 08 00:00:00 EDT 2019}
}
Web of Science
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Works referencing / citing this record:
A High-Performance Computing Implementation of Iterative Random Forest for the Creation of Predictive Expression Networks
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A High-Performance Computing Implementation of Iterative Random Forest for the Creation of Predictive Expression Networks
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- Genes, Vol. 10, Issue 12
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