Gene regulatory networks for lignin biosynthesis in switchgrass <i>(Panicum virgatum</i>)

  • Xiaolan Rao
    BioDiscovery Institute and Department of Biological Sciences University of North Texas Denton TX USA
  • Xin Chen
    Center for Applied Mathematics Tianjin University Tianjin China
  • Hui Shen
    BioDiscovery Institute and Department of Biological Sciences University of North Texas Denton TX USA
  • Qin Ma
    Department of Agronomy, Horticulture, and Plant Science and Department of Mathematics and Statistics South Dakota State University Brookings SD USA
  • Guifen Li
    Noble Research Institute Ardmore OK USA
  • Yuhong Tang
    BioEnergy Science Center (BESC) Oak Ridge National Laboratory Oak Ridge TN USA
  • Maria Pena
    BioEnergy Science Center (BESC) Oak Ridge National Laboratory Oak Ridge TN USA
  • William York
    BioEnergy Science Center (BESC) Oak Ridge National Laboratory Oak Ridge TN USA
  • Taylor P. Frazier
    Department of Plant Sciences University of Tennessee Knoxville TN USA
  • Scott Lenaghan
    Department of Food Science University of Tennessee Knoxville TN USA
  • Xirong Xiao
    BioDiscovery Institute and Department of Biological Sciences University of North Texas Denton TX USA
  • Fang Chen
    BioDiscovery Institute and Department of Biological Sciences University of North Texas Denton TX USA
  • Richard A. Dixon
    BioDiscovery Institute and Department of Biological Sciences University of North Texas Denton TX USA

書誌事項

公開日
2018-09-17
権利情報
  • http://creativecommons.org/licenses/by/4.0/
  • http://creativecommons.org/licenses/by/4.0/
DOI
  • 10.1111/pbi.13000
公開者
Wiley

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説明

<jats:title>Summary</jats:title><jats:p>Cell wall recalcitrance is the major challenge to improving saccharification efficiency in converting lignocellulose into biofuels. However, information regarding the transcriptional regulation of secondary cell wall biogenesis remains poor in switchgrass (<jats:italic>Panicum virgatum</jats:italic>), which has been selected as a biofuel crop in the United States. In this study, we present a combination of computational and experimental approaches to develop gene regulatory networks for lignin formation in switchgrass. To screen transcription factors (<jats:styled-content style="fixed-case">TF</jats:styled-content>s) involved in lignin biosynthesis, we developed a modified method to perform co‐expression network analysis using 14 lignin biosynthesis genes as bait (target) genes. The switchgrass lignin co‐expression network was further extended by adding 14 <jats:styled-content style="fixed-case">TF</jats:styled-content>s identified in this study, and seven <jats:styled-content style="fixed-case">TF</jats:styled-content>s identified in previous studies, as bait genes. Six <jats:styled-content style="fixed-case">TF</jats:styled-content>s (Pv<jats:styled-content style="fixed-case">MYB</jats:styled-content>58/63, Pv<jats:styled-content style="fixed-case">MYB</jats:styled-content>42/85, Pv<jats:styled-content style="fixed-case">MYB</jats:styled-content>4, Pv<jats:styled-content style="fixed-case">WRKY</jats:styled-content>12, Pv<jats:styled-content style="fixed-case">SND</jats:styled-content>2 and Pv<jats:styled-content style="fixed-case">SWN</jats:styled-content>2) were targeted to generate overexpressing and/or down‐regulated transgenic switchgrass lines. The alteration of lignin content, cell wall composition and/or plant growth in the transgenic plants supported the role of the <jats:styled-content style="fixed-case">TF</jats:styled-content>s in controlling secondary wall formation. <jats:styled-content style="fixed-case">RNA</jats:styled-content>‐seq analysis of four of the transgenic switchgrass lines revealed downstream target genes of the secondary wall‐related <jats:styled-content style="fixed-case">TF</jats:styled-content>s and crosstalk with other biological pathways. <jats:italic>In vitro</jats:italic> transactivation assays further confirmed the regulation of specific lignin pathway genes by four of the <jats:styled-content style="fixed-case">TF</jats:styled-content>s. Our meta‐analysis provides a hierarchical network of <jats:styled-content style="fixed-case">TF</jats:styled-content>s and their potential target genes for future manipulation of secondary cell wall formation for lignin modification in switchgrass.</jats:p>

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