Literature DB >> 34592757

Plant-plant communication in variety mixtures plays on disease susceptibility and immunity.

Marie-Odile Bancal1,2.   

Abstract

Entities:  

Keywords:  Disease; immunity; intraspecific mixture; neighbour; plant; plant interactions; rice; wheat

Mesh:

Year:  2021        PMID: 34592757      PMCID: PMC8483780          DOI: 10.1093/jxb/erab377

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


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Intraspecific mixtures are a well-known means to modulate epidemics in crops, but knowledge of the immunity they induce is scarce.

Biodiversity: an insurance for plant health?

In crops, maintaining plant health is crucial, as climate change and decreased availability of pesticides may enhance opportunities for pests and diseases (Barot ). A large consensus states that higher natural or cultivated biodiversity increases productivity because functional complementarity and redundancy enhance resilience to environmental fluctuations. In most but not all cases, complex but beneficial biological regulations between trophic or scale levels emerge from ecosystem biodiversity (Tilman ). Mixing varieties is an easy-to-use and flexible means to adapt annual crops to identified patterns of multistress (Grettenberger and Tooker, 2015). Identifying and quantifying the main mechanisms involved as biodiversity increases is a major prerequisite for managing assemblies in agroecology. Biodiversity attenuates the population response to biotic and abiotic stresses by mobilizing common mechanisms (Tilman ; Barot ; Rolfe ): escape by phenology or architecture; protection by genetic barriers (‘dilution’ of susceptibility among resistant plants); niche complementarity for resources; microclimate modification; and finally plant immunity. All these mechanisms interplay directly or indirectly to achieve a better crop fitness. The result depends on whether competitive or facilitative mechanisms dominate and on the environmental conditions (Tilman ; Rolfe ). While these mechanisms support similar ranges of yield gains, crop management considerations generally favour genetic complementarity and/or remote enhancement of immunity responses in variety mixtures (Grettenberger and Tooker, 2015; Gibson and Nguyen, 2020), even though asymmetric access to resources may occur (Pélissier ). Variety mixtures rely mainly on complementarity between genotypes which are susceptible and resistant to the more frequent and damaging pests/diseases (Grettenberger and Tooker, 2015; Barot ). Alternatively, remote plant immunity involves manipulating a sequence of events from the recognition of a danger/stranger, its transduction, and the associated induced physiological responses (Rolfe ; Pélissier ). Near-neighbour crop communications, as premunition of exposure to pathogens and/or priming by emission of a defence-related compound, were identified long ago. From the 2000s, the key role of immunity in population health largely extended to plant–plant interactions during infection. Plants interact either directly through chemical exchanges, namely exudates and volatile organic compounds (VOCs), or indirectly through the microbiome, a network of above- or belowground microorganisms so closely associated with plants that it behaves like a meta-organism, a holobiome (Trivedi ; Sharifi and Ryu, 2021). Pests or pathogens largely induce host plant immunity by well-known phytohormones including salicylic acid, ethylene, and jasmonic acid (Benevenuto ; Trivedi ; Sharifi and Ryu, 2021), all of which may prime neighbours (Ninkovic ). Interestingly, kin and stranger recognition also crosstalk with defence pathways (Liu ; Sharifi and Ryu, 2021), using root exudates (Anten and Chen, 2021) or leaf volatiles (Karban ), diverting carbon towards beneficial anticipation responses (Anten and Chen, 2021). Interplant cues and signals have been found to be central in herbivory (Pélissier ). However, the role of plant immunity in regulating disease development in variety mixtures has certainly been understudied. Furthermore, if priming is a well-established mechanism to anticipate stresses, plant–plant communication in healthy conditions was rarely advocated, especially in conspecific plant populations (Ninkovic ; Pélissier ).

Do healthy conspecific neighbours enhance plant resistance and immunity?

In their study published in this issue, Pélissier investigated whether mixing pairs of susceptible varieties of wheat or rice may limit severity and increase immunity, even if the focal receiver plant is neighboured by healthy plants. To unravel plant–plant interactions and focus on immunity only, they set up a glasshouse experiment with both susceptible focal and neighbour plants. The experimental design, moreover, limited plant competition for resources and pathogen dispersal. The originality of the study is the isolation of basal plant immunity from other defence mechanisms to pinpoint the importance of immunity in the health of conspecific plant populations. Pélissier found that it is possible to select pairs of varieties that significantly cross-protected against rust in wheat or blast in rice, compared with monocrops. Given that the associated varieties were equally susceptible, the mixture advantage does not rely directly on resistance genes to the inoculated pathogens. It confirms previous studies showing that biodiversity mainly ameliorates plant health (Gibson and Nguyen, 2020). However, Pélissier et al. did not generalize their observation. Inoculation of mixtures with other pathogens, even those with a closely related lifestyle, showed either no change or an increased severity in both focal and neighbour plants. The literature previously pointed out the lack of genericity of pathogen responses to biodiversity (Rolfe ; Liu ), rendering its use in field crops submitted to multiple and unpredictable stresses difficult (Berens ; Landi, 2020). Using the same wheat or rice variety pairs, Pélissier tried to elucidate by which mechanisms conspecific plants interplay. In both cases, they showed that varieties communicated directly by a belowground chemical interaction between kin roots. Root physical contact was needed in wheat mixtures, but not in rice. Surprisingly, neither the soil microbiome nor the inoculation of neighbours was necessary for this interplay. The originality of the study was to state that healthy and inoculated neighbour plants modified focal plant susceptibility to the same extent, suggesting that specific kin recognition between cultivars was enough to enhance plant health (Gibson and Nguyen, 2020). Indeed, the key role of plant exudates in plant–plant communication had already been shown (Rolfe ; Liu ), and the reshaping of the microbiome after defence priming was also recently demonstrated (Trivedi ). This study moreover suggests that early plant–plant interactions in varietal mixtures may reshape plant health status only due to the proximity of close but distinct genotypes and without priming. This mechanism has not yet been exemplified, maybe because it was hidden by longer term interactions (Trivedi ), or because other plant–plant interactions interfere, such as resource competition or multistress responses (Benevenuto ; Landi, 2020). Finally, basal immunity was a good candidate to trigger these processes. In healthy rice plants, the basal immunity was enhanced by mixture; this effect was even strengthened by inoculation, suggesting that the changes in susceptibility relate to those in the basal immunity. Conversely, in wheat, the basal immunity of healthy plants was unchanged by mixture, while inoculation modulated the immunity of each variety differently. Consequently, changes in basal immunity could not explain changes in wheat mixture susceptibility. In varietal mixtures, the link between decreased susceptibility and increased basal immunity may not be a general rule.

Perspectives for crop health management

This is the first study pointing out that mixing close relatives enhances crop health, even without priming, by using root chemical signalling. Interestingly, this imaginative experimental design revealed that an underlying communication between healthy kin plants, even if weak, may enhance the population’s health, by modulating a complex network of interactions (Liu ). This is a key finding to avoid confusion of effects when setting up experimental designs involving inter- and intraspecific mixtures under multistresses (Landi, 2020). Furthermore, it opens up the way to search for new chemical traits, based on early plant–plant recognition, for assembly of varieties. This study nevertheless raises some questions. (i) If belowground signals or cues were clearly involved, aerial VOCs may also interplay (Ninkovic ), which the experimental design did not show, preventing pathogen but not VOC movements. (ii) Short-term responses to mixtures may be relayed by longer term soil microbiome changes (Rolfe ; Benevenuto ). (iii) The variety relatedness, which is usually high (Grettenberger and Tooker, 2015), was not examined, although it is key information for the future assembly of varieties, even susceptible ones (Gibson and Nguyen, 2020). This last point particularly challenges the link with agricultural practices that largely use complementary resistance profiles in mixtures (Barot ). More generally, (iv) these effects must be confirmed under natural conditions, with varietal mixtures subjected to multiple stresses: climate (Berens ; Benevenuto ), soil and its biotic history (Sharifi and Ryu, 2021), nutrition (Landi, 2020; Liu ) and/or pests (Liu ), which all interact with immunity towards a given outcome. This study provides a renewed insight into interactions between closely related plants, putting forward an underlying mechanism of ecosystem resilience that future research has to investigate in more depth for further applications in agroecology.
  12 in total

Review 1.  Plant immunity: Good fences make good neighbors?

Authors:  Rémi Pélissier; Cyrille Violle; Jean-Benoit Morel
Journal:  Curr Opin Plant Biol       Date:  2021-05-06       Impact factor: 7.834

Review 2.  Plant-microbiome interactions: from community assembly to plant health.

Authors:  Pankaj Trivedi; Jan E Leach; Susannah G Tringe; Tongmin Sa; Brajesh K Singh
Journal:  Nat Rev Microbiol       Date:  2020-08-12       Impact factor: 60.633

Review 3.  Microbiome-Mediated Stress Resistance in Plants.

Authors:  Hongwei Liu; Laura E Brettell; Zhiguang Qiu; Brajesh K Singh
Journal:  Trends Plant Sci       Date:  2020-04-25       Impact factor: 18.313

Review 4.  Crying out for help with root exudates: adaptive mechanisms by which stressed plants assemble health-promoting soil microbiomes.

Authors:  Stephen A Rolfe; Joseph Griffiths; Jurriaan Ton
Journal:  Curr Opin Microbiol       Date:  2019-11-13       Impact factor: 7.934

5.  Balancing trade-offs between biotic and abiotic stress responses through leaf age-dependent variation in stress hormone cross-talk.

Authors:  Matthias L Berens; Katarzyna W Wolinska; Stijn Spaepen; Jörg Ziegler; Tatsuya Nobori; Aswin Nair; Verena Krüler; Thomas M Winkelmüller; Yiming Wang; Akira Mine; Dieter Becker; Ruben Garrido-Oter; Paul Schulze-Lefert; Kenichi Tsuda
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-23       Impact factor: 11.205

Review 6.  Social networking in crop plants: Wired and wireless cross-plant communications.

Authors:  Rouhallah Sharifi; Choong-Min Ryu
Journal:  Plant Cell Environ       Date:  2020-12-22       Impact factor: 7.228

Review 7.  Detect thy family: Mechanisms, ecology and agricultural aspects of kin recognition in plants.

Authors:  Niels P R Anten; Bin J W Chen
Journal:  Plant Cell Environ       Date:  2021-02-18       Impact factor: 7.228

Review 8.  Airborne signals and abiotic factors: the neglected side of the plant communication.

Authors:  Marco Landi
Journal:  Commun Integr Biol       Date:  2020-05-18

Review 9.  Plant volatiles as cues and signals in plant communication.

Authors:  Velemir Ninkovic; Dimitrije Markovic; Merlin Rensing
Journal:  Plant Cell Environ       Date:  2020-10-26       Impact factor: 7.228

10.  Plant neighbour-modulated susceptibility to pathogens in intraspecific mixtures.

Authors:  Pélissier Rémi; Buendia Luis; Brousse Andy; Temple Coline; Ballini Elsa; Fort Florian; Violle Cyrille; Jean-Benoit Morel
Journal:  J Exp Bot       Date:  2021-06-14       Impact factor: 6.992

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