ArticleFrontiers in plant science2012
Reverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk.
Article in Frontiers in plant science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
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- SnRK2.10 kinase differentially modulates expression of hub WRKY transcription factors genes under salinity and oxidative stress inFrontiers in plant science · 2023Article
- Large scale study of anti-sense regulation by differential network analysis.BMC systems biology · 2018Article
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- AtWRKY22 promotes susceptibility to aphids and modulates salicylic acid and jasmonic acid signalling.Journal of experimental botany · 2016Article
- Diffany: an ontology-driven framework to infer, visualise and analyse differential molecular networks.BMC bioinformatics · 2016Article
- Staying Alive or Going to Die During Terminal Senescence-An Enigma Surrounding Yield Stability.Frontiers in plant science · 2015Review
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- Arabidopsis ensemble reverse-engineered gene regulatory network discloses interconnected transcription factors in oxidative stress.The Plant cell · 2014Article
- Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis.The Plant cell · 2014Article
- Overexpression of PYL5 in rice enhances drought tolerance, inhibits growth, and modulates gene expression.Journal of experimental botany · 2014Article
- Arabidopsis kinetochore null2 is an upstream component for centromeric histone H3 variant cenH3 deposition at centromeres.The Plant cell · 2013Article
- Submergence confers immunity mediated by the WRKY22 transcription factor in Arabidopsis.The Plant cell · 2013Article
- The plant transcriptome-from integrating observations to models.Frontiers in plant science · 2013Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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