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Prominent abiotic stress factors affecting plant growth and yield relate to the shortage of water, the exposure to low or high temperatures, high salinity or nutrient deficiencies (Sreenivasulu et al., 2007 Lobell et al., 2011 Mir et al., 2012). 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.ĭuring their growth and development plants are constantly exposed to various kinds of environmental stimuli and stresses due to their sessile lifestyle.
What is another word for reverse engineering full#
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. Such interactome networks help not only to derive hypotheses but also play a vital role in identifying key regulatory targets and interconnected hormonal responses.
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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. 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. 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. 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.
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