Circadian Regulation of the Plant Transcriptome Under Natural Conditions

Panter, Paige E.; Muranaka, Tomoaki; Cuitun‐Coronado, David; Graham, Calum A.; Yochikawa, Aline; Kudoh, Hiroshi; Dodd, Antony N.

doi:10.3389/fgene.2019.01239

Cited by 45 publications

(33 citation statements)

References 137 publications

(185 reference statements)

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“…Another issue in identifying the optimum in natural conditions is the fact that environmental factors are not stable for a long time and have periodic and non-periodic changes. Periodic changes caused by the rotation of the Earth around its axis and its movement around the Sun, include seasonal and diurnal fluctuations perceived by the plant's circadian system (Panter et al 2019). For example, these include circadian and seasonal fluctuations in light, temperature and humidity.…”

Section: Hormesis Location On Shelford's Curvementioning

confidence: 99%

Plant hormesis and Shelford’s tolerance law curve

Erofeeva

2021

J. For. Res.

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Shelford's law of tolerance is illustrated by a bell-shaped curve depicting the relationship between environmental factor/factors’ intensity and its favorability for species or populations. It is a fundamental basis of ecology when considering the regularities of environment impacts on living systems, and applies in plant biology, agriculture and forestry to manage resistance to environmental limiting factors and to enhance productivity. In recent years, the concept of hormesis has been increasingly used to study the dose–response relationships in living organisms of different complexities, including plants. This requires the need for an analysis of the relationships between the hormetic dose–response model and the classical understanding of plant reactions to environments in terms of Shelford's law of tolerance. This paper analyses various dimensions of the relationships between the hormetic model and Shelford’s tolerance law curve under the influence of natural environmental factors on plants, which are limiting for plants both in deficiency and excess. The analysis has shown that Shelford’s curve and hormetic model do not contradict but instead complement each other. The hormetic response of plants is localized in the stress zone of the Shelford’s curve when adaptive mechanisms are disabled within the ecological optimum. At the same time, in a species range, the ecological optimum is the most favorable combination of all or at least the most important environmental factors, each of which usually deviates slightly from its optimal value. Adaptive mechanisms cannot be completely disabled in the optimum, and hormesis covers optimum and stress zones. Hormesis can modify the plant tolerance range to environmental factors by preconditioning and makes limits of plant tolerance to environmental factors flexible to a certain extent. In turn, as a result of tolerance range evolution, quantitative characteristics of hormesis (width and magnitude of hormetic zone) as well as the range of stimulating doses, may significantly differ in various plant species and even populations and intra-population groups, including plants at different development stages. Using hormetic preconditioning for managing plant resistance to environmental limiting factors provides an important perspective for increasing the productivity of woody plants in forestry.

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Section: Hormesis Location On Shelford's Curvementioning

confidence: 99%

Plant hormesis and Shelford’s tolerance law curve

Erofeeva

2021

J. For. Res.

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“…Studying the circadian oscillator within natural environments can challenge understanding of principles of circadian regulation identified under controlled conditions (Figure 1E). It can also provide new insights into adaptive roles for circadian regulation 149 . The importance of a better understanding of adaptive aspects of circadian regulation under naturally fluctuating conditions is well illustrated by a population genetics study using Arabidopsis 3 .…”

Section: Crosstalk Between Circadian and Environmental Signalling Under Natural Conditionsmentioning

confidence: 99%

Layers of crosstalk between circadian regulation and environmental signalling in plants

2021

Self Cite

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“…Arabidopsis that was grown under artificial light also had different metabolic profiles than plants grown under natural light (Annunziata et al, 2017). Rhythms in the transcription of plants grown in natural conditions or the field are regulated by the circadian oscillator and by changes in external conditions, such as temperature, light intensity, humidity, and photoperiod, or internal conditions, such as plant age and plant physiology (Nagano et al, 2012(Nagano et al, , 2019Matsuzaki et al, 2015;Panter et al, 2019;Dantas et al, 2020). A better understanding of plant rhythms in the field is essential to translate this knowledge to agriculture (Steed et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Field microenvironments regulate crop diel transcript and metabolite rhythms

Dantas

Dourado

Lima

et al. 2021

Preprint

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Most research in plant chronobiology was done in laboratory conditions. However, they usually fail to mimic natural conditions and their nuanced fluctuations, highlighting or obfuscating rhythmicity. High-density crops, such as sugarcane (Saccharum hybrid), generate field microenvironments that have specific light and temperature, as they shade each other. Here, we measured the metabolic and transcriptional rhythms in the leaves of 4-month-old (4 mo.) and 9 mo. sugarcane grown in the field. Most of the assayed rhythms in 9 mo. sugarcane peaked >1 h later than in 4 mo. sugarcane, including rhythms of the circadian clock gene, LATE ELONGATED HYPOCOTYL (LHY), but not TIMING OF CAB EXPRESSION (TOC1). We hypothesized that older sugarcane perceives dawn later than younger sugarcane, due to self-shading. As a test, we measured LHY rhythms in plants on the east and the west side of a field. We also tested if a wooden wall built between lines of sugarcane also changed their rhythms. In both experiments, the LHY peak was delayed in the plants shaded at dawn. We conclude that plants in the same field may have different phases due to field microenvironments, which may impact important agronomical traits, such as flowering time, stalk weight and number.

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Circadian Regulation of the Plant Transcriptome Under Natural Conditions

Cited by 45 publications

References 137 publications

Plant hormesis and Shelford’s tolerance law curve

Plant hormesis and Shelford’s tolerance law curve

Layers of crosstalk between circadian regulation and environmental signalling in plants

Field microenvironments regulate crop diel transcript and metabolite rhythms

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