Potential spread of kiwifruit bacterial canker (<i>Pseudomonas syringae</i> pv. <i>actinidiae</i>) in Europe

Wilstermann, Anne; Schrader, Gritta; Kehlenbeck, Hella; Robinet, Christelle

doi:10.1111/epp.12385

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…In 1984, Psa was first isolated from ‘Hayward’ (a type of Actinidia deliciosa with green flesh) in Japan [ 12 ]. Currently, the pathogen is widely distributed in the major producing countries of kiwifruit, including China, New Zealand, Italy, South Korea, Iran, France, Portugal, Chile, Spain, Switzerland and Australia, as well as in other countries [ 13 , 14 ]. In China, the kiwifruit bacterial canker was first discovered in the Dongshan Peak farm of Hunan Province in 1985 [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China

Wang

He³

et al. 2018

PLoS ONE

100

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ObjectiveBacterial canker of kiwifruit caused by Pseudomonas syringae pv. actinidiae (Psa) is a major threat to the kiwifruit industry throughout the world and accounts for substantial economic losses in China. The aim of the present study was to test and explore the possibility of using MaxEnt (maximum entropy models) to predict and analyze the future large-scale distribution of Psa in China.MethodBased on the current environmental factors, three future climate scenarios, which were suggested by the fifth IPCC report, and the current distribution sites of Psa, MaxEnt combined with ArcGIS was applied to predict the potential suitable areas and the changing trend of Psa in China. The jackknife test and correlation analysis were used to choose dominant climatic factors. The receiver operating characteristic curve (ROC) drawn by MaxEnt was used to evaluate the accuracy of the simulation.ResultThe results showed that under current climatic conditions, the area from latitude 25° to 36°N and from longitude 101° to 122°E is the primary potential suitable area of Psa in China. The highly suitable area (with suitability between 66 and 100) was mainly concentrated in Northeast Sichuan, South Shaanxi, most of Chongqing, West Hubei and Southwest Gansu and occupied 4.94% of land in China. Under different future emission scenarios, both the areas and the centers of the suitable areas all showed differences compared with the current situation. Four climatic variables, i.e., maximum April temperature (19%), mean temperature of the coldest quarter (14%), precipitation in May (11.5%) and minimum temperature in October (10.8%), had the largest impact on the distribution of Psa.ConclusionThe MaxEnt model is potentially useful for forecasting the future adaptive distribution of Psa under climate change, and it provides important guidance for comprehensive management.

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Section: Introductionmentioning

confidence: 99%

Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China

Wang

He³

et al. 2018

PLoS ONE

100

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“…A generic spread model combining natural and human-assisted spread for P. syringae pv. actinidiae in Europe predicts, with no control measures in place, a spread within 3/5 years into every kiwifruit producing country (Wilstermann et al, 2017)…”

Section: Human-assisted Spreadmentioning

confidence: 99%

Pest survey card on Pseudomonas syringae pv.actinidiae

Vogelaar¹,

Schenk²,

Delbianco³

et al. 2020

EFS3

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This pest survey card was prepared in the context of the EFSA mandate on plant pest surveillance (M‐2017‐0137) at the request of the European Commission. Its purpose is to guide the Member States in preparing data and information for surveys ofPseudomonas syringaepv. actinidiae(Psa). These are required to design statistically sound and risk‐based pest surveys, in line with current international standards.Pseudomonas syringaepv. actinidiaeis one of over 60 Pseudomonas syringae pathovars, and the causal agent of kiwifruit bacterial canker. Pseudomonas syringaepv. actinidiaeis present in several kiwifruit‐growing areas in the EU and is expected to be able to become established in most or all of them. For surveillance, Actinidia chinensisvar.deliciosaand A. chinensisvar.chinensisare the most relevant hosts.The pathogen is subject to emergency measures aiming to prevent further spread of the pathogen in the EU. The most likely pathway for introduction ofthe bacteriumis through the transport of infected plants for planting and pollen. Once introduced, further natural spread is expected to occur rapidly. Itis most easily detectedby visual examination, although other bacteria can cause similar symptoms. Hence, it needs to be followed by sampling and laboratory identification.

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“…Kiwifruit canker is a devastating bacterial disease that has seriously affected the development of the kiwifruit industry worldwide, causing huge economic losses in recent decades (Fujikawa & Sawada, 2016 ; Poulter et al., 2018 ; Wilstermann et al., 2017 ). Since the outbreak of kiwifruit canker in Japan in the 1980s, orchards in major kiwifruit‐producing areas, such as South Korea, Italy, Spain, China and New Zealand, have been affected by this disease (Cameron & Sarojini, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Adapting the inoculation methods of kiwifruit canker disease to identify efficient biocontrol bacteria from branch microbiome

Shao,

Wu,

et al. 2023

Molecular Plant Pathology

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Pseudomonas syringae pv. actinidiae (Psa), the bacterium that causes kiwifruit bacterial canker, is a common field occurrence that is difficult to control globally. Currently, exploring the resources for efficient biocontrol bacteria is a hot spot in the field. The common strategy for isolating biocontrol bacteria is to directly isolate biocontrol bacteria that can secrete diffusible antibacterial substances, most of which are members of Bacillus, Pseudomonas and Streptomycetaceae, from disease samples or soil. Here, we report a new approach by adapting the typical isolation methods of kiwifruit canker disease to identify efficient biocontrol bacteria from the branch microbiome. Using this unique approach, we isolated a group of kiwifruit biocontrol agents (KBAs) from the branch microbiome of Psa‐resistant varieties. Thirteen of these showed no antagonistic activity in vitro, which depends on the secretion of antibacterial compounds. However, they exhibited antibacterial activity via cell‐to‐cell contacts mimicked by co‐culture on agar plates. Through biocontrol tests on plants, two isolates, KBA13 and KBA19, demonstrated their effectiveness by protecting kiwifruit branches from Psa infection. Using KBA19, identified as Pantoea endophytica, as a representative, we found that this bacterium uses the type VI secretion system (T6SS) as the main contact‐dependent antibacterial weapon that acts via translocating toxic effector proteins into Psa cells to induce cell death, and that this capacity expressed by KBA19 is common to various Psa strains from different countries. Our findings highlight a new strategy to identify efficient biocontrol agents that use the T6SS to function in an antibacterial metabolite‐independent manner to control wood diseases.

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Potential spread of kiwifruit bacterial canker (Pseudomonas syringae pv. actinidiae) in Europe

Cited by 9 publications

References 13 publications

Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China

Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China

Pest survey card on Pseudomonas syringae pv.actinidiae

Adapting the inoculation methods of kiwifruit canker disease to identify efficient biocontrol bacteria from branch microbiome

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