Communication between plants: induced resistance in wild tobacco plants following clipping of neighboring sagebrush

Karban, Richard; Baldwin, Ian T.; Baxter, K. J.; Laue, Grit; Felton, Gary W.

doi:10.1007/pl00008892

Cited by 372 publications

(296 citation statements)

References 27 publications

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“…Volatile chemicals might also affect self-discrimination in C. japonica tendrils. Volatile compounds play an important role in inter-plant interactions [41][42][43]. Volatile cues from genetically identical sagebrush Artemisia tridentata cuttings induce resistance to herbivores more efficiently than cues from non-self cuttings [15].…”

Section: Discussionmentioning

confidence: 99%

Self-discrimination in the tendrils of the vine Cayratia japonica is mediated by physiological connection

Fukano

Yamawo

2015

Proc. R. Soc. B.

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Although self-discrimination has been well documented, especially in animals, self-discrimination in plants has been identified in only a few cases, such as self-incompatibility in flowers and root discrimination. Here, we report a new form of self-discrimination in plants: discrimination by vine tendrils. We found that tendrils of the perennial vine Cayratia japonica were more likely to coil around neighbouring non-self plants than neighbouring self plants in both experimental and natural settings. The higher level of coiling around a physiologically severed self plant compared with that around a physiologically connected self plant suggested that self-discrimination was mediated by physiological coordination between the tendril and the touched plant as reported for self-discrimination in roots. The results highlight the importance of self-discrimination for plant competition not only underground, but also above-ground.

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Section: Discussionmentioning

confidence: 99%

Self-discrimination in the tendrils of the vine Cayratia japonica is mediated by physiological connection

Fukano

Yamawo

2015

Proc. R. Soc. B.

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“…Previous studies have suggested that plant behavior is simpler than that of animals. Now, however, plant biologists have discovered that experiential accumulation through conditioning can also significantly affect plant behavior [12,23,24]. Plants also have memory and communication behavior, even if they lack a central nervous system.…”

Section: Root System Coevolutionmentioning

confidence: 99%

Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors

Su¹,

Lin

Liu

et al. 2016

Open Life Sciences

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Open Life Sci. 2016; 11: 447-457 an optimal solution and the natural process of foraging for food [1,2]. These bio-inspired computing approaches are increasingly used by engineers and scientists to solve complex optimization problems that are intractable using conventional methods [3]. Generally, a bio-inspired optimization problem solving process occurs in the following manner: an initial position is randomized in the search space, and its acceptability assessed through the application of a fitness function; a bio-inspired position change strategy, consistent with the paradigm in use, is then iteratively applied with the hope of improving the solution acceptability; the final solution is identified either through achieving an acceptable level of fitness or on the completion of a set amount of computation.Successful examples of such bio-inspired computing algorithms as evolutionary algorithms [4] include genetic algorithm, evolutionary strategy, evolutionary programming, and genetic programming, ant colony systems [5], particle swarm optimization [6,7], and bee foraging algorithms [8].Although foraging behavior is a typically considered an animal characteristic, other organisms, including plants, have shown similar traits [9]. Because of plants' unique non-motile way of life, they only have access to resources nearby their growth site [10]. The above description is the main difference between plant growth and animal foraging. Obviously, the survival rules for each plant species is to efficiently find soil with sufficient nutrients and water. So, the ability of plant roots to sense they myriad factors in their local environment allows them to complete in the evolution process, and the growth direction and root system development are driven by these factors [11].Continuous changes of the natural environment are considered as the reason of plant root growth diversity, including increased lateral branching, root biomass, root length and uptake capacity. It should be noted that these developmental needs require correct auxin transport and signaling [12]. The number of roots and the length per unit mass of roots also changes in to response to heterogeneity [9]. Many studies have demonstrated that plant foraging is DOI 10.1515DOI 10. /biol-2016 Received May 14, 2016; accepted September 14, 2016 Abstract: Plant root foraging exhibits complex behaviors analogous to those of animals, including the adaptability to continuous changes in soil environments. In this work, we adapt the optimality principles in the study of plant root foraging behavior to create one possible bio-inspired optimization framework for solving complex engineering problems. This provides us with novel models of plant root foraging behavior and with new methods for global optimization. This framework is instantiated as a new search paradigm, which combines the root tip growth, branching, random walk, and death. We perform a comprehensive simulation to demonstrate that the proposed model accurately reflects the characteristics of natural plant roo...

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“…Changes in water or nutrient availability or presence of obstacles are perceived belowground by roots (Smith, 2000;Hodge, 2004). Additionally, competing neighbor plants can be directly perceived both above-and belowground through touch perception (de Wit et al, 2012) or volatile cues from neighboring plants (Karban et al, 2000). These chemical cues can also inform the plant about the metapopulation of microbes in the surrounding rhizosphere.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Variation in Responses to Root Spatial Constraint within Arabidopsis thaliana

2015

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ORCID IDs: 0000-0001-9298-629X (B.J.); 0000-0001-5759-3175 (D.J.K.)Among the myriad of environmental stimuli that plants utilize to regulate growth and development to optimize fitness are signals obtained from various sources in the rhizosphere that give an indication of the nutrient status and volume of media available. These signals include chemical signals from other plants, nutrient signals, and thigmotropic interactions that reveal the presence of obstacles to growth. Little is known about the genetics underlying the response of plants to physical constraints present within the rhizosphere. In this study, we show that there is natural variation among Arabidopsis thaliana accessions in their growth response to physical rhizosphere constraints and competition. We mapped growth quantitative trait loci that regulate a positive response of foliar growth to short physical constraints surrounding the root. This is a highly polygenic trait and, using quantitative validation studies, we showed that natural variation in EARLY FLOWERING3 (ELF3) controls the link between root constraint and altered shoot growth. This provides an entry point to study how root and shoot growth are integrated to respond to environmental stimuli.

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Communication between plants: induced resistance in wild tobacco plants following clipping of neighboring sagebrush

Cited by 372 publications

References 27 publications

Self-discrimination in the tendrils of the vine Cayratia japonica is mediated by physiological connection

Self-discrimination in the tendrils of the vine Cayratia japonica is mediated by physiological connection

Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors

Quantitative Variation in Responses to Root Spatial Constraint within Arabidopsis thaliana

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