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@ARTICLE{Friedel:131882,
      author       = {Friedel, Swetlana and Usadel, Björn and von Wirén,
                      Nicolaus and Sreenivasulu, Nese},
      title        = {{R}everse {E}ngineering: {A} {K}ey {C}omponent of {S}ystems
                      {B}iology to {U}nravel {G}lobal {A}biotic {S}tress
                      {C}ross-{T}alk},
      journal      = {Frontiers in Plant Physiology},
      volume       = {3},
      number       = {294},
      issn         = {1664-462X},
      address      = {Lausanne},
      publisher    = {Frontiers Media83580},
      reportid     = {FZJ-2013-01142},
      pages        = {1-16},
      year         = {2012},
      abstract     = {Understanding the global abiotic stress response is an
                      important stepping stone for the development of universal
                      stress tolerance in plants in the era of climate change.
                      Although co-occurrence of several stress factors (abiotic
                      and biotic) in nature is found to be frequent, current
                      attempts are poor to understand the complex physiological
                      processes impacting plant growth under combinatory factors.
                      In this review article, we discuss the recent advances of
                      reverse engineering approaches that led to seminal
                      discoveries of key candidate regulatory genes involved in
                      cross-talk of abiotic stress responses and summarized the
                      available tools of reverse engineering and its relevant
                      application. Among the universally induced regulators
                      involved in various abiotic stress responses, we highlight
                      the importance of (i) abscisic acid (ABA) and jasmonic acid
                      (JA) hormonal cross-talks and (ii) the central role of WRKY
                      transcription factors (TF), potentially mediating both
                      abiotic and biotic stress responses. Such interactome
                      networks help not only to derive hypotheses but also play a
                      vital role in identifying key regulatory targets and
                      interconnected hormonal responses. To explore the full
                      potential of gene network inference in the area of abiotic
                      stress tolerance, we need to validate hypotheses by
                      implementing time-dependent gene expression data from
                      genetically engineered plants with modulated expression of
                      target genes. We further propose to combine information on
                      gene-by-gene interactions with data from physical
                      interaction platforms such as protein–protein or TF-gene
                      networks.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {242 - Sustainable Bioproduction (POF2-242)},
      pid          = {G:(DE-HGF)POF2-242},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000208837900288},
      pubmed       = {pmid:23293646},
      doi          = {10.3389/fpls.2012.00294},
      url          = {https://juser.fz-juelich.de/record/131882},
}