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Culturable bacterial microflora associated with nectarine fruit and their potential for control of brown rot

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Abstract:

Microflora of fruit surfaces have been the best source of antagonists against fungi causing postharvest decay of fruit. However, there is little information on microflora colonizing surfaces of fruits other than grape, apple, and citrus. We characterized bacterial microflora on nectarine fruit surfaces from the early stage of development until harvest. Identification of bacterial strains was made using MIDI (fatty acid methyl ester analysis) and Biolog systems. Biolog identified 35% and MIDI 53% of the strains. Thus results from MIDI were used to determine the frequency of occurrence of genera and species. The most frequently occurring genera were Curtobacterium (21.31%), followed by Pseudomonas (19.99%), Microbacterium (13.57%), Clavibacter (9.69%), Pantoea (6.59%), and Enterobacter (4.26%). The frequency of isolations of some bacteria - for example, the major pseudomonads (Pseudomonas syringae, Pseudomonas putida, and Pseudomonas savastanoi) or Pantoea agglomerans - tended to decline as fruit developed. As Pseudomonas declined, Curtobacterium became more dominant. Time of isolation was a significant factor in the frequency of occurrence of different bacteria, indicating succession of the genera. Throughput screening of the bacterial strains against Monilinia fructicola on nectarine fruit resulted in the detection of strains able to control brown rot. The 10 best-performing antagonistic strains were subjected to secondary screening. Four strains reduced decay severity by more than 50% (51.7%-91.4% reduction) at the high pathogen inoculum concentration of 105 conidia/mL.

La microflore présente à la surface des fruits a été la meilleure source de composés antagonistes de champignons qui responsables du pourrissement après la récolte. Cependant, il n’existe que peu d’information sur la microflore qui colonise les surfaces de la nectarine, du stade précoce de développement du fruit jusqu’à sa récolte. L’identification de souches bactériennes a été réalisée à l’aide des systèmes MIDI (analyse de esters méthylique d’acides gras) et Biolog. Le Biolog a permis d’identifier 35 % des souches, alors que le MIDI en a identifié 53%; les résultats du MIDI ont donc été utilisés pour déterminer la fréquence des genres et des espèces. Les genres les plus fréquemment retrouvés sont Curtobacterium (21,31 %), suivi de Pseudomonas (19,99 %), Microbacterium (13,57 %), Clavibacter (9,69 %), Pantoea (6,59 %), et Enterobacter (4,26 %). La fréquence d’isolement de quelques bactéries, les pseudomonades principales (Pseudomonas syringae, Pseudomonas putida et Pseudomonas savastonoi) ou Pantoea agglomerans, par exemple, tend à décliner en fonction du développement du fruit. Au fil du déclin de Pseudomonas, Curtobacterium devient davantage dominant. La période d’isolement constituait un facteur significatif de la fréquence des différentes bactéries, indiquant une succession de genres. Un criblage à haut débit des souches bactériennes Monilinia fruticola présentes sur la nectarine a résulté en la détection de souches capables de contrôler la pourriture brune. Les 10 meilleures souches antagonistes ont été soumises à un deuxième criblage. Quatre souches ont réduit la sévérité de la pourriture par plus de 50 % (51,7 % à 91,4 % de réduction) à une concentration élevée d’inoculation de pathogène de 105 conidies/mL.

Document Type: Research Article

Publication date: June 1, 2010

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  • Published since 1954, this monthly journal contains new research in the field of microbiology including applied microbiology and biotechnology; microbial structure and function; fungi and other eucaryotic protists; infection and immunity; microbial ecology; physiology, metabolism and enzymology; and virology, genetics, and molecular biology. It also publishes review articles and notes on an occasional basis, contributed by recognized scientists worldwide.
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