A meta‐analysis of plant responses to light intensity for 70 traits ranging from molecules to whole plant performance

AbstractThe success in the response of a plant to a pest depends on the regulatory networks that connect plant perception and plant response. Meta-analyses of transcriptomic responses are valuable tools to discover novel mechanisms in the plant/herbivore interplay. Considering the quantity and quality of available transcriptomic analyses, Arabidopsis thaliana was selected to test the ability of comprehensive meta-analyses to disentangle plant responses. The analysis of the transcriptomic data showed a general induction of biological processes commonly associated with the response to herbivory, like jasmonate signaling or glucosinolate biosynthesis. However, an uneven induction of many genes belonging to these biological categories was found, which was likely associated with the particularities of each specific Arabidopsis-herbivore interaction. A thorough analysis of the responses to the lepidopteran Pieris rapae and the spider mite Tetranychus urticae highlighted specificities in the perception and signaling pathways associated with the expression of receptors and transcription factors. This information was translated to a variable alteration of secondary metabolic pathways. In conclusion, transcriptomic meta-analysis has been revealed as a potent way to sort out relevant physiological processes in the plant response to herbivores. Translation of these transcriptomic-based analyses to crop species will permit a more appropriate design of biotechnological programs.

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A stage-based study of drought response in Cryptantha flava (Boraginaceae): gas exchange, water use efficiency, and whole plant performance

American Journal of Botany ◽

10.3732/ajb.93.7.978 ◽

2006 ◽

Vol 93 (7) ◽

pp. 978-987 ◽

Cited By ~ 17

Author(s):

Brenda B. Casper ◽

I. N. Forseth ◽

D. Alexander Wait

Keyword(s):

Gas Exchange ◽

Water Use Efficiency ◽

Water Use ◽

Plant Performance ◽

Drought Response ◽

Whole Plant ◽

Cryptantha Flava ◽

Use Efficiency

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Importance of Meta-analysis in Studies Involving Plant Responses to Climate Change in Brazil

Advances in Bioinformatics and Computational Biology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-65775-8_21 ◽

2020 ◽

pp. 221-234

Author(s):

Janaina da Silva Fortirer ◽

Adriana Grandis ◽

Camila de Toledo Castanho ◽

Marcos Silveira Buckeridge

Keyword(s):

Climate Change ◽

Meta Analysis ◽

Plant Responses

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Herbaceous monocot plant form and function along a tropical rain-forest light gradient: a reversal of dicot strategy

Journal of Tropical Ecology ◽

10.1017/s0266467408005567 ◽

2009 ◽

Vol 25 (1) ◽

pp. 103-106 ◽

Cited By ~ 4

Author(s):

Nathan G. Swenson

Keyword(s):

Tropical Forests ◽

Environmental Gradients ◽

Plant Performance ◽

Seed Plants ◽

Form And Function ◽

Light Gradient ◽

Whole Plant ◽

Plant Form ◽

And Function ◽

High Degree

Whole plant form and function vary spectacularly across the seed plants. In recent years, plant evolutionary ecologists have begun to document this diversity on large geographic scales by analysing ‘functional traits’ that are indicative of whole plant performance across environmental gradients (Swenson & Enquist 2007, Wright et al. 2004). Despite the high degree of functional diversity in tropical forests, convergence in function does occur locally along successional or light gradients (Bazzaz & Pickett 1980, Swaine & Whitmore 1988).

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Reaching Natural Growth: Light Quality Effects on Plant Performance in Indoor Growth Facilities

Plants ◽

10.3390/plants9101273 ◽

2020 ◽

Vol 9 (10) ◽

pp. 1273

Author(s):

Camilo Chiang ◽

Daniel Bånkestad ◽

Günter Hoch

Keyword(s):

Plant Growth ◽

Field Trial ◽

Light Quality ◽

Plant Traits ◽

Principal Component ◽

Biomass Productivity ◽

Plant Performance ◽

Plant Responses ◽

Natural Ecosystems ◽

Species Specific

To transfer experimental findings in plant research to natural ecosystems it is imperative to reach near to natural-like plant performance. Previous studies propose differences in temperature and light quantity as main sources of deviations between indoor and outdoor plant growth. With increasing implementation of light emitting diodes (LED) in plant growth facilities, light quality is yet another factor that can be optimised to prevent unnatural plant performance. We investigated the effects of different wavelength combinations in phytotrons (i.e., indoor growth chambers) on plant growth and physiology in seven different plant species from different plant functional types (herbs, grasses and trees). The results from these experiments were compared against a previous field trial with the same set of species. While different proportions of blue (B) and red (R) light were applied in the phytotrons, the mean environmental conditions (photoperiod, total radiation, red to far red ratio and day/night temperature and air humidity) from the field trial were used in the phytotrons in order to assess which wavelength combinations result in the most natural-like plant performance. Different plant traits and physiological parameters, including biomass productivity, specific leaf area (SLA), leaf pigmentation, photosynthesis under a standardised light, and the respective growing light and chlorophyll fluorescence, were measured at the end of each treatment. The exposure to different B percentages induced species-specific dose response reactions for most of the analysed parameters. Compared with intermediate B light treatments (25 and/or 35% B light), extreme R or B light enriched treatments (6% and 62% of B respectively) significantly affected the height, biomass, biomass allocation, chlorophyll content, and photosynthesis parameters, differently among species. Principal component analyses (PCA) confirmed that 6% and 62% B light quality combinations induce more extreme plant performance in most cases, indicating that light quality needs to be adjusted to mitigate unnatural plant responses under indoor conditions.

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Device‐measured light‐intensity physical activity and mortality: A meta‐analysis

Scandinavian Journal of Medicine and Science in Sports ◽

10.1111/sms.13557 ◽

2019 ◽

Vol 30 (1) ◽

pp. 13-24 ◽

Cited By ~ 7

Author(s):

Po‐Wen Ku ◽

Mark Hamer ◽

Yung Liao ◽

Ming‐Chun Hsueh ◽

Li‐Jung Chen

Keyword(s):

Physical Activity ◽

Light Intensity ◽

Meta Analysis ◽

Intensity Physical Activity

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Depicting the Core Transcriptome Modulating Multiple Abiotic Stresses Responses in Sesame (Sesamum indicum L.)

International Journal of Molecular Sciences ◽

10.3390/ijms20163930 ◽

2019 ◽

Vol 20 (16) ◽

pp. 3930 ◽

Cited By ~ 16

Author(s):

Komivi Dossa ◽

Marie A. Mmadi ◽

Rong Zhou ◽

Tianyuan Zhang ◽

Ruqi Su ◽

...

Keyword(s):

Abiotic Stresses ◽

Meta Analysis ◽

Plant Responses ◽

Proof Of Concept ◽

Rna Seq ◽

Wild Type ◽

Salt Treatment ◽

Hub Genes ◽

Hub Gene ◽

The Core

Sesame is a source of a healthy vegetable oil, attracting a growing interest worldwide. Abiotic stresses have devastating effects on sesame yield; hence, studies have been performed to understand sesame molecular responses to abiotic stresses, but the core abiotic stress-responsive genes (CARG) that the plant reuses in response to an array of environmental stresses are unknown. We performed a meta-analysis of 72 RNA-Seq datasets from drought, waterlogging, salt and osmotic stresses and identified 543 genes constantly and differentially expressed in response to all stresses, representing the sesame CARG. Weighted gene co-expression network analysis of the CARG revealed three functional modules controlled by key transcription factors. Except for salt stress, the modules were positively correlated with the abiotic stresses. Network topology of the modules showed several hub genes predicted to play prominent functions. As proof of concept, we generated over-expressing Arabidopsis lines with hub and non-hub genes. Transgenic plants performed better under drought, waterlogging, and osmotic stresses than the wild-type plants but did not tolerate the salt treatment. As expected, the hub gene was significantly more potent than the non-hub gene. Overall, we discovered several novel candidate genes, which will fuel investigations on plant responses to multiple abiotic stresses.

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