Occurrence of Pseudomonas syringae pv. garcae in coffee seeds

Belan, Leônidas Leoni; Pozza, Edson Ampélio; Freitas, Marcelo Loran de Oliveira; Raimundi, Melina Korres; Souza, Rosemeri Melo e; Machado, José da Cruz

doi:10.21475/ajcs.2016.10.07.p7693

Cited by 16 publications

(16 citation statements)

References 25 publications

(48 reference statements)

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“…To prove the bacterial etiology of the disease, samples of injured leaves were subjected to exudation test. After a positive result, the etiologic agent was isolated in medium 523 of Kado & Heskett (23) and classified as P. syringae (8).…”

Section: Georeferenced Pointsmentioning

confidence: 99%

Geostatistical analysis of bacterial blight in coffee tree seedlings in the nursery

et al. 2018

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In nurseries of coffee tree seedlings (Coffea arabica), there are favorable conditions for bacterial blight epidemics (Pseudomonas syringae pv. garcae). Studying the spatial distribution of diseased plants can help in the adoption of management strategies. Likewise, geostatistics has been applied to shape the spatial distribution and study epidemiological aspects of plant diseases. Thus, this study was developed to characterize the spatial distribution pattern of bacterial blight in a nursery of coffee tree seedlings. The disease progress was monitored over time in 704 seedlings organized in lines and columns in a nursery. Considering the mean diameter of the pots used for producing seedlings, georeferencing was carried out in Cartesian coordinate system for the seedlings in the nursery. The disease incidence data were subjected to non-spatial exploratory analysis and geostatistical analysis. The spherical isotropic semivariogram model was adjusted to the data and data interpolation was performed by ordinary kriging to visualize the spatial distribution of symptomatic seedlings. Bacterial blight epidemic was detected in the nursery during the experimental period, and there was variability and spatial dependence in relation to the distribution of diseased seedlings. As the epidemic progressed, the population of diseased plants increased, as well as the number and the size of the foci and their coalescence. Besides, there was an increase in the range value, sill and nugget effect. The kriging maps showed the disease progress and its variance. The bacterial blight epidemic of coffee tree started with a random spatial distribution pattern, progressing to an aggregate pattern.

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Section: Georeferenced Pointsmentioning

confidence: 99%

Geostatistical analysis of bacterial blight in coffee tree seedlings in the nursery

et al. 2018

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“…It penetrates the host tissue through natural openings (stomata) or wounds and is mainly disseminated by water and wind-driven aerosol particles (Zoccoli et al, 2011). A recent study suggests that coffee seed may also be a source of inoculum (Belan et al, 2016).…”

Section: Disease Symptoms Aetiology and Disseminationmentioning

confidence: 99%

“…Molecular and serological methods for specific detection of Psgc in infected tissue have not been reported. Current methods rely on isolation and identification of the bacterium using morphological, physiological and biochemical tests (Zoccoli et al, 2011;Belan et al, 2016;Hinkosa et al, 2016;Rodrigues et al, 2017c). Distinction between Psgc and other P. syringae pathovars is commonly achieved by LOPAT testing (Rodrigues et al, 2017c).…”

Section: Pathogen Detectionmentioning

confidence: 99%

“…syringae by assaying for production of pectate lyase and utilization of L-trigonelline, L-(+)-tartrate and lactate (Young & Triggs, 1994). At the present time, specific identification using molecular methods has been attempted only using rep-PCR (Kairu, 1997;Belan et al, 2016). The availability of the genome sequence of Psgc strain ICMP 4323 (Thakur et al, 2016) could help identify pathovar-specific DNA regions useful for development of PCR-based and serological detection methods.…”

Section: Pathogen Detectionmentioning

confidence: 99%

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Coffee bacterial diseases: a plethora of scientific opportunities

Badel

Zambolim

2019

Plant Pathology

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Coffee is a very important crop for several tropical countries across different continents. The diseases bacterial halo blight (BHB), bacterial leaf spot (BLS), bacterial leaf blight (BLB) and coffee leaf scorch (CLS), caused by the bacterial pathogens Pseudomonas syringae pv. garcae (Psgc), P. syringae pv. tabaci (Psta), Pseudomonas cichorii (Pch) and Xylella fastidiosa subsp. pauca (Xfp), respectively, cause significant reductions in coffee production, although other minor bacterial diseases have also been reported in some countries. Little research progress has been made on aspects that are relevant for control and management of these diseases. In all cases, there is an urgent need to develop rapid and more reliable methods for early detection of the pathogens in order to minimize their negative impact on coffee production. Because of the high rate of intra‐ and intersubspecific recombination occurring in X. fastidiosa, a permanent revision of the detection methods is necessary. Greater efforts should be made to understand the genetic and virulence diversity of Psgc, Psta and Pch populations. Early studies reported the identification of potential sources of resistance against Psgc and Psta, but, to date, no resistance gene has been isolated. Little effort has been made to understand the biology and molecular mechanisms underlying the interaction between Coffea spp. and these pathogenic bacteria. This review discusses the recent progress on the molecular mechanisms used by these bacteria to cause diseases on other plant species, in order to provide a guideline for the establishment of future research programmes.

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“…One of them is losses due to diseases such as coffee rust, cercospora leaf spot, anthracnose, and halo blight caused by Pseudomonas syringae pv. garcae (BELAN et al, 2016). Recently, severe epidemics of halo blight have been reported as a limiting factor in coffee cultivation in cooler and more windswept regions, in forming or newly pruned crops, and in nurseries (PEIXOTO et al, 1999;SERA et al, 2002SERA et al, , 2004ZOCCOLI et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

SAPROBIC FUNGI AS BIOCONTROL AGENTS OF HALO BLIGHT (Pseudomonas syringae pv. garcae) IN COFFEE CLONES

Botrel

Laborde²,

Medeiros

et al. 2018

C.Sci.

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Halo blight caused by Pseudomonas syringae pv. garcae is a limiting disease in coffee production. There are few efficient commercial products on the market to control this disease, and therefore, the prospection of different biocontrol agents is a promising alternative. The objectives in this study were (i) to select saprobic fungi with the potential to control halo blight in coffee clones, and (ii) to evaluate the contributions of induced resistance as control mechanisms. Plants were sprayed with Gonytrichum chlamydosporium, Phialomyces macrosporus, and Moorella speciosa 7 d before inoculation with Pseudomonas. syringae pv. garcae. The area under the halo blight progress curve (AUDPC) and plant growth parameters were evaluated. M. speciose and G. clamydosporium did not reduce the AUDPC and even reduced plant growth in none of the trails compared to the water control. P. macrosporus consistently reduced AUDPC by 42-72% and increased plant height by 40%. Thereafter, the contributions of induced resistance was evaluated for the P. macrosporus, selected as the most promising biocontrol agent.. In order to determine induced resistance, phenylalanine ammonia lyase (PAL), peroxidase (POX), and ascorbate peroxidase (APX) activity of plant leaves were measured at two time points after stress challenge. Enzyme activity evaluation demonstrated high activity of POX and PAL at seven days after treatment with the saprobe, and high APX activity after 14 days. The results of this study indicate that P. macrosporus has the potential to be used in the management of coffee halo blight in seedling production, and one mechanism likely involved is induced resistance.

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Occurrence of Pseudomonas syringae pv. garcae in coffee seeds

Cited by 16 publications

References 25 publications

Geostatistical analysis of bacterial blight in coffee tree seedlings in the nursery

Geostatistical analysis of bacterial blight in coffee tree seedlings in the nursery

Coffee bacterial diseases: a plethora of scientific opportunities

SAPROBIC FUNGI AS BIOCONTROL AGENTS OF HALO BLIGHT (Pseudomonas syringae pv. garcae) IN COFFEE CLONES

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