Phytophthora population was monitored in soil and water samples from mixed oak and beech stands with symptoms of decline in the Regional Park of Madonie (Sicily) using a nested-PCR amplification of the ITS1 region with genus-specific primers. DNA was extracted directly from soil samples while DNA of water samples was concentraded by filtration on paper filters and extracted from filters. The amplified product (c.a. 260 bp) was cloned and phylogenetic tools were used to identify the clones with the related species or phylotypes of Phytophthora. Phytophthora DNA was detected in 44.8% of soil samples and in all water samples. Nine Phytophthora taxa were identified, including seven known species, P. cambivora, P. citricola, P. gonapodyides, P. inundata, P. psychrophila, P. quercina and P. syringae, and two new phylotypes (Blast identity with known taxa <97%) that were provisionally named P. europea-like and P. porri-like, respectively, because of the phylogenetic relationship with these two known species. P. psychrophila was the most frequent species in soil samples (eight out of 29 analysed samples), followed by P. quercina (seven samples), P. syringae (one sample), P. citricola (one sample) and P. europea-like (one sample). P. gonapodyides was the most frequent species in water samples (five out of six analysed samples), followed by P. syringae (four samples), P. cambivora (two samples), P. psychrophila (two samples), P. inundata (one sample) and P. porri-like (one sample). This molecular method is a powerful tool for detecting new threatening species of Phytophthora that are not traceable by traditional isolation methods.

Emerging Phytophthora species in Forest ecosystems in Sicily

PANE, Antonella;CACCIOLA, Santa Olga
2010-01-01

Abstract

Phytophthora population was monitored in soil and water samples from mixed oak and beech stands with symptoms of decline in the Regional Park of Madonie (Sicily) using a nested-PCR amplification of the ITS1 region with genus-specific primers. DNA was extracted directly from soil samples while DNA of water samples was concentraded by filtration on paper filters and extracted from filters. The amplified product (c.a. 260 bp) was cloned and phylogenetic tools were used to identify the clones with the related species or phylotypes of Phytophthora. Phytophthora DNA was detected in 44.8% of soil samples and in all water samples. Nine Phytophthora taxa were identified, including seven known species, P. cambivora, P. citricola, P. gonapodyides, P. inundata, P. psychrophila, P. quercina and P. syringae, and two new phylotypes (Blast identity with known taxa <97%) that were provisionally named P. europea-like and P. porri-like, respectively, because of the phylogenetic relationship with these two known species. P. psychrophila was the most frequent species in soil samples (eight out of 29 analysed samples), followed by P. quercina (seven samples), P. syringae (one sample), P. citricola (one sample) and P. europea-like (one sample). P. gonapodyides was the most frequent species in water samples (five out of six analysed samples), followed by P. syringae (four samples), P. cambivora (two samples), P. psychrophila (two samples), P. inundata (one sample) and P. porri-like (one sample). This molecular method is a powerful tool for detecting new threatening species of Phytophthora that are not traceable by traditional isolation methods.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/110752
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