Cambi, Martina

Marchi, Enrico

Paffetti, Donatella

Vettori, Cristina

English

Florence Research

Proceedings of the 57th Italian Society of Agricultural Genetics Annual CongressFoggia, Italy – 16/19 September, 2013ISBN 978-88-904570-3-6Poster Communication Abstract – 5.33FOREST LOGGING INFLUENCE ON MICROBIAL COMMUNITIESCOMPOSITION IN MEDITERRANEAN PINE STANDCAMBI M.*, PAFFETTI D.**, VETTORI C.***, MARCHI E.**) University of Florence, GESAAF, Via S. Bonaventura 13, 50145 Florence (Italy)**) University of Florence, DISPAA, Piazzale della Cascine 18, 50144 Florence (Italy)***) National Research Council, Plant Genetics Institute, Division of Florence, Via Madonna delPiano 10, 50019 Sesto Fiorentino (Italy)forest soil microorganisms, T-RFLP methods, Geneland analysisSeveral studies investigated the impact due to forest logging on soil degradation. Field studiesrevealed a complex relationship among microbial communities and soil degradation showing a widevariability of response. During timber harvesting, soil structure is reorganized and the porosity,together with the continuity among the pores, is reduced influencing the composition of microbialcommunities. The objective of this work was to evaluate the variation of two types of bacterialcommunities of the soil after forest logging operation related to a regeneration cut. The study area islocated, in the Regional Park of Migliarino- San Rossore Massaciuccoli (PI). The area isrepresented by a high stand of Pinus pinea (100-120 years old). Soil samples were collected inpatchy cut areas (strip cut) harvested in two different years (2006 and 2011) and compared with acontrol area (not harvested). In the control area, the soil samples were also collected in theproximity of plants and undergrowth, in order to evaluate the influence of the vegetation on thebiological component of this soil. To measure the bacterial community variations, before and afterlogging, the extraction of total DNA was performed from soil samples, and amplifications by PCRwere carried on by using specific primers for nif and amo genes. The PCR products were thenanalyzed by the T-RFLP method, to generate a fingerprint of microbial community for all soilsamples and for both types of genes. The genetic data were also used to determine  the Shannon’sand Eveness biodiversity indexes. The analysis of population structure was performed through amethod implemented in the Geneland package. The results showed significant changes after loggingboth in composition and in species for both types of genes. An analysis of microbial spatializationin each areas was also carried out.

Forest logging influence on microbial communities composition in mediterranean pine stand

https://flore.unifi.it/bitstream/2158/848106/1/5_33.pdf

Forest logging influence on microbial communities composition in mediterranean pine stand

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