Plant disease risk is modified by multiple global change drivers

Laine, Anna‐Liisa

doi:10.1016/j.cub.2023.03.075

Cited by 10 publications

(8 citation statements)

References 115 publications

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“…In contrast, plant diseases caused by viruses, bacteria or fungi, as well as herbivory are common biotic effects that cause vegetation mass loss (Bale et al., 2002 ; Bebber et al., 2014 ; Garrett et al., 2006 ; Pautasso et al., 2012 ; Ristaino et al., 2021 ; Singh et al., 2023 ; Tibpromma et al., 2021 ). Importantly, climate change can contribute to the spread of infectious diseases in plants and the consequent expansion of pathogen distribution, with the potential to cause cross‐species pathogen spillovers (Laine, 2023 ; Ristaino et al., 2021 ; Shaw & Osborne, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

“…For example, rising temperatures, altered precipitation patterns and increased atmospheric CO 2 levels can create more favorable conditions for disease‐causing organisms, enhancing their reproduction and survival. As a consequence, climate change can also expand the geographical ranges of plant pathogens (Laine, 2023 ; Ristaino et al., 2021 ; Shaw & Osborne, 2011 ). Additionally, changes in temperature and humidity can affect the life cycles of plant disease vectors, such as insects (Roos et al., 2011 ).…”

Section: Discussionmentioning

confidence: 99%

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Phenological evolution in annual plants under light competition, changes in the growth season and mass loss

Silva,

Hansson,

Johansson

2024

Ecology and Evolution

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Flowering time is an important phenological trait in plants and a critical determinant of the success of pollination and fruit or seed development, with immense significance for agriculture as it directly affects crop yield and overall food production. Shifts in the growth season, changes in the growth season duration and changes in the production rate are environmental processes (potentially linked to climate change) that can lead to changes in flowering time in the long‐term due to selection. In contrast, biomass loss (due to, for example, herbivory or diseases) can have profound consequences for plant mass production and food security. We model the effects of these environmental processes on the flowering time evolutionarily stable strategy (ESS) of annual plants and the potential consequences for reproductive output. Our model recapitulates previous theoretical results linked to climate change and light competition and makes novel predictions about the effects of biomass loss on the evolution of flowering time. Our analysis elucidates how both the magnitude and direction of the evolutionary response can depend on whether biomass loss occurs during the earlier vegetative phase or during the later reproductive phase and on whether or not plants are adapted to grow in dense, competitive environments. Specifically, light competition generates an asymetric effect of mass loss on flowering time even when loss is indiscriminate (equal rates), with vegetative mass loss having a stronger effect on flowering time (resulting in greater ESS change) and final reproductive output.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Phenological evolution in annual plants under light competition, changes in the growth season and mass loss

Silva,

Hansson,

Johansson

2024

Ecology and Evolution

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“…Currently, bacterial and viral infections pose a serious risk to global society and high economic costs; , therefore, the development of a reliable method for their prediction is an urgent need. Plant diseases caused by pathogenic microbes lead to severe crop yield loss, resulting in economic losses and serious effects on food security and human health. , In particular, fire blight is a highly infectious and widespread bacterial disease of Rosaceae plants such as apple and pear .…”

Section: Introductionmentioning

confidence: 99%

Label-Free Surface-Enhanced Raman Scattering Detection of Fire Blight Pathogen Using a Pathogen-Specific Bacteriophage

Jeon,

Lee,

et al. 2024

J. Agric. Food Chem.

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Fire blight is one of the most devastating plant diseases, causing severe social and economic problems. Herein, we report a novel method based on label-free surface-enhanced Raman scattering (SERS) combined with an Erwinia amylovora-specific bacteriophage that allows detecting efficiently fire blight bacteria E. amylovora for the first time. To achieve the highest SERS signals for E. amylovora, we synthesized and compared plasmonic nanoparticles (PNPs) with different sizes, i.e., bimetallic gold core−silver shell nanoparticles (Au@AgNPs) and monometallic gold nanoparticles (AuNPs) and utilized the coffee-ring effect for the selfassembly of PNPs and enrichment of fire blight bacteria. Furthermore, we investigated the changes in the SERS spectra of E. amylovora after incubation with an E. amylovora-specific bacteriophage, and we found considerable differences in the SERS signals as a function of the bacteriophage incubation time. The results indicate that our bacteriophage-based label-free SERS analysis can specifically detect E. amylovora without the need for peak assignment on the SERS spectra but simply by monitoring the changes in the SERS signals over time. Therefore, our facile method holds great potential for the label-free detection of pathogenic bacteria and the investigation of viral−bacterial interactions.

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“…Climatic alterations can influence the stability of gene-for-gene interactions, can change the direction of selection (Cable et al, 2017) with unexpected outcomes (Mostowy & Engelstädter, 2011). Global environmental changes can alter the evolution of virulence (Schmid-Hempel, 2003;Kutzer & Armitage, 2016), reinforce the selection on immunity genes, and accelerate pathogen adaptation thereby increasing plant disease risk (Laine, 2023). Climate-sensitivity of basal resistance (Janda et al, 2019) as well as both qualitative and quantitative resistance (Webb et al, 2010;Cheng et al, 2013;Onaga et al, 2017) has been noted, with few noted as climate-resilient (Cohen et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Within-host adaptation of a foliar pathogen,Xanthomonas, on pepper in presence of quantitative resistance and ozone stress

Kaur,

Russell,

Liu

et al. 2024

Preprint

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SummaryThe evolving threat of new pathogen variants in the face of global environmental changes poses a risk to the plant health and can impact the efficacy of resistance-based disease management.Here, we studied short-term eco-evolutionary response of the pathogen,Xanthomonas perforans, on quantitative resistant and susceptible pepper during a single growing season in open-top chambers under the influence of elevated Ozone (O3).We observed increased disease severity, accompanied by higher variation on resistant cultivar under elevated O3, with no apparent change on the susceptible cultivar. This altered resistance response under elevated O3 is linked to altered eco-evolutionary dynamics of pathogen. While a single pathogen genotype remained prevalent on susceptible cultivar, resistant cultivar supported heterogenous pathogen population, with the evidence of short- term evolutionary modifications seeded byde novoparallel mutations. Altered O3 levels led to strain turnover on resistant cultivar with higher within-host polymorphism containing higher proportion of randomde novomutations lacking parallelism.Population heterogeneity is a mechanism of pathogen adaptation in response to the stressors. While parallel mutations in response to quantitative resistance may provide clues to predicting long-term pathogen evolution, high proportion of transient mutations suggest less predictable pathogen evolution under climatic alterations.

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Plant disease risk is modified by multiple global change drivers

Cited by 10 publications

References 115 publications

Phenological evolution in annual plants under light competition, changes in the growth season and mass loss

Phenological evolution in annual plants under light competition, changes in the growth season and mass loss

Label-Free Surface-Enhanced Raman Scattering Detection of Fire Blight Pathogen Using a Pathogen-Specific Bacteriophage

Within-host adaptation of a foliar pathogen,Xanthomonas, on pepper in presence of quantitative resistance and ozone stress

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