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Exploring the role of plant lysin motif receptor-like kinases in regulating plant-microbe interactions in the bioenergy crop Populus.
Cope, Kevin R; Prates, Erica T; Miller, John I; Demerdash, Omar N A; Shah, Manesh; Kainer, David; Cliff, Ashley; Sullivan, Kyle A; Cashman, Mikaela; Lane, Matthew; Matthiadis, Anna; Labbé, Jesse; Tschaplinski, Timothy J; Jacobson, Daniel A; Kalluri, Udaya C.
Afiliação
  • Cope KR; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Prates ET; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Miller JI; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Demerdash ONA; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Shah M; Genome Science and Technology, The University of Tennessee-Knoxville, Knoxville, TN 37996, USA.
  • Kainer D; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Cliff A; The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville 37996, USA.
  • Sullivan KA; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Cashman M; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Lane M; The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville 37996, USA.
  • Matthiadis A; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Labbé J; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Tschaplinski TJ; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Jacobson DA; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
  • Kalluri UC; The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville 37996, USA.
Comput Struct Biotechnol J ; 21: 1122-1139, 2023.
Article em En | MEDLINE | ID: mdl-36789259
ABSTRACT
For plants, distinguishing between mutualistic and pathogenic microbes is a matter of survival. All microbes contain microbe-associated molecular patterns (MAMPs) that are perceived by plant pattern recognition receptors (PRRs). Lysin motif receptor-like kinases (LysM-RLKs) are PRRs attuned for binding and triggering a response to specific MAMPs, including chitin oligomers (COs) in fungi, lipo-chitooligosaccharides (LCOs), which are produced by mycorrhizal fungi and nitrogen-fixing rhizobial bacteria, and peptidoglycan in bacteria. The identification and characterization of LysM-RLKs in candidate bioenergy crops including Populus are limited compared to other model plant species, thus inhibiting our ability to both understand and engineer microbe-mediated gains in plant productivity. As such, we performed a sequence analysis of LysM-RLKs in the Populus genome and predicted their function based on phylogenetic analysis with known LysM-RLKs. Then, using predictive models, molecular dynamics simulations, and comparative structural analysis with previously characterized CO and LCO plant receptors, we identified probable ligand-binding sites in Populus LysM-RLKs. Using several machine learning models, we predicted remarkably consistent binding affinity rankings of Populus proteins to CO. In addition, we used a modified Random Walk with Restart network-topology based approach to identify a subset of Populus LysM-RLKs that are functionally related and propose a corresponding signal transduction cascade. Our findings provide the first look into the role of LysM-RLKs in Populus-microbe interactions and establish a crucial jumping-off point for future research efforts to understand specificity and redundancy in microbial perception mechanisms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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