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      Multidisciplinary approaches for studying rhizobium–legume symbioses

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          Abstract

          The rhizobium–legume symbiosis is a major source of fixed nitrogen (ammonia) in the biosphere. The potential for this process to increase agricultural yield while reducing the reliance on nitrogen-based fertilizers has generated interest in understanding and manipulating this process. For decades, rhizobium research has benefited from the use of leading techniques from a very broad set of fields, including population genetics, molecular genetics, genomics, and systems biology. In this review, we summarize many of the research strategies that have been employed in the study of rhizobia and the unique knowledge gained from these diverse tools, with a focus on genome- and systems-level approaches. We then describe ongoing synthetic biology approaches aimed at improving existing symbioses or engineering completely new symbiotic interactions. The review concludes with our perspective of the future directions and challenges of the field, with an emphasis on how the application of a multidisciplinary approach and the development of new methods will be necessary to ensure successful biotechnological manipulation of the symbiosis.

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          Author and article information

          Journal
          Canadian Journal of Microbiology
          Can. J. Microbiol.
          Canadian Science Publishing
          0008-4166
          1480-3275
          January 2019
          January 2019
          : 65
          : 1
          : 1-33
          Affiliations
          [1 ]Department of Biology, University of Florence, Sesto Fiorentino, FI 50019, Italy.
          [2 ]Department of Biology, McMaster University, Hamilton, ON L8S 4K1, Canada.
          [3 ]Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
          Article
          10.1139/cjm-2018-0377
          30205015
          0abed4db-ebfd-4485-8fd9-1cdeb789e71f
          © 2019

          http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining

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