Reconsidering plant memory: Intersections between stress recovery, RNA turnover, and epigenetics
By Peter A. Crisp, D. Ganguly, Steven R. Eichten, J. Borevitz, B. Pogson. Science Advances, 2016
616 citations recorded by the source corpus.
Have plants learned to forget stress? This review proposes benefits to forgetfulness and finds key roles for RNA turnover. Plants grow in dynamic environments where they can be exposed to a multitude of stressful factors, all of which affect their development, yield, and, ultimately, reproductive success. Plants are adept at rapidly acclimating to stressful conditions and are able to further fortify their defenses by retaining memories of stress to enable stronger or more rapid responses should an environmental perturbation recur. Indeed, one mechanism that is often evoked regarding environmental memories is epigenetics. Yet, there are relatively few examples of such memories; neither is there a clear understanding of their duration, considering the plethora of stresses in nature. We propose that this field would benefit from investigations into the processes and mechanisms enabling recovery from stress. An understanding of stress recovery could provide fresh insights into when, how, and why environmental memories are created and regulated. Stress memories may be maladaptive, hindering recovery and affecting development and potential yield. In some circumstances, it may be advantageous for plants to learn to forget. Accordingly, the recovery process entails a balancing act between resetting and memory formation. During recovery, RNA metabolism, posttranscriptional gene silencing, and RNA-directed DNA methylation have the potential to play key roles in resetting the epigenome and transcriptome and in altering memory. Exploration of this emerging area of research is becoming ever more tractable with advances in genomics, phenomics, and high-throughput sequencing methodology that will enable unprecedented profiling of high-resolution stress recovery time series experiments and sampling of large natural populations.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/36b5136ccc072f9bcc13258a4fe69527fc88be1a
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Citations in the corpus
- Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective (2018, positive): “Phenomics approaches to plant science aim to identify the relationships between genetic diversities and phenotypic traits in plant species using noninvasive and high-throughput measurements of quantitative parameters that reflect traits and physiological states throughout a plant’s life [2].”
- Plant abiotic stress response and nutrient use efficiency (2020, background): “HsfA1s also regulate the expression of ONSEN, a copia-like retrotransposon, and heat stress memory, a process where plants memorize a prior mild heat exposure and acquire the ability to tolerate further severe heat stress (Cavrak et al., 2014; Crisp et al., 2016; Sedaghatmehr et al., 2019).”
- Impact of Combined Abiotic and Biotic Stresses on Plant Growth and Avenues for Crop Improvement by Exploiting Physio-morphological Traits (2017, neutral): “1, Mittler, 2006; 2, Ahmed et al., 2013; 3, Gupta et al., 2016; 4, Sharma and Pande, 2013; 5, Xu et al., 2008; 6, Crisp et al., 2016; 7, Mayek-Perez et al., 2002.”
- Unraveling Field Crops Sensitivity to Heat Stress：Mechanisms, Approaches, and Future Prospects (2018, background): “To check whether miRNAs have any functions in regulating response to HS in T. aestivum L., Xin et al. [270] cloned small RNA exposed to HS and found that 12 of the 153 miRNAs identified were responsive to HS. Kumar et al. [267] identified 37 novel miRNAs in wheat and validated six of the identified ”