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Network biology to uncover functional and structural properties of the plant immune system.
Mishra, Bharat; Kumar, Nilesh; Mukhtar, M Shahid.
  • Mishra B; Department of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL, 35294, USA.
  • Kumar N; Department of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL, 35294, USA.
  • Mukhtar MS; Department of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL, 35294, USA. Electronic address: smukhtar@uab.edu.
Curr Opin Plant Biol ; 62: 102057, 2021 08.
Article in English | MEDLINE | ID: covidwho-1253456
ABSTRACT
In the last two decades, advances in network science have facilitated the discovery of important systems' entities in diverse biological networks. This graph-based technique has revealed numerous emergent properties of a system that enable us to understand several complex biological processes including plant immune systems. With the accumulation of multiomics data sets, the comprehensive understanding of plant-pathogen interactions can be achieved through the analyses and efficacious integration of multidimensional qualitative and quantitative relationships among the components of hosts and their microbes. This review highlights comparative network topology analyses in plant-pathogen co-expression networks and interactomes, outlines dynamic network modeling for cell-specific immune regulatory networks, and discusses the new frontiers of single-cell sequencing as well as multiomics data integration that are necessary for unraveling the intricacies of plant immune systems.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Plants / Plant Immunity Type of study: Qualitative research Language: English Journal: Curr Opin Plant Biol Journal subject: Botany Year: 2021 Document Type: Article Affiliation country: J.pbi.2021.102057

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Plants / Plant Immunity Type of study: Qualitative research Language: English Journal: Curr Opin Plant Biol Journal subject: Botany Year: 2021 Document Type: Article Affiliation country: J.pbi.2021.102057