ERP004641 PRJEB5251 ena-STUDY-DISAAUNIMI-24-01-2014-08:05:11:109-67 In these study the microbioma associated to the populations of the five species of the C. marginellus complex have been investigated adopting a culture independent approach targeting the 16S rRNA as the 454 pyrotag sequencing The study investigate the microbiota associated to populations of the five species of phytophagous beetles belonging to the Cryptocephalus marginellus species complex (Coleoptera; Chrysomelidae) and the metabolic capabilities in term of exploiting food resources associated to the harboured microbial communities. The five species show a distribution that ranges from Pyrenees (C. aquitanus) to Central Alps and Apennines (C. renatae and C. eridani) and they inhabit different habitats (from mediterranean maquis to alpine meadows) and are associated with different host plants (Rosaceae, Ericaceae and Fabaceae). We have investigated the microbial community associated to six population (five species) with a culture independent approach targeting the 16S rRNA as the 454 pyrotag sequencing and performed different comparative analysis and the prediction of the metagenome functional capabilities. Microbiota associated with the Cryptocephalus marginellus species complex The study investigate the microbiota associated to populations of the five species of phytophagous beetles belonging to the Cryptocephalus marginellus species complex (Coleoptera; Chrysomelidae) and the metabolic capabilities in term of exploiting food resources associated to the harboured microbial communities. The five species show a distribution that ranges from Pyrenees (C. aquitanus) to Central Alps and Apennines (C. renatae and C. eridani) and they inhabit different habitats (from mediterranean maquis to alpine meadows) and are associated with different host plants (Rosaceae, Ericaceae and Fabaceae). We have investigated the microbial community associated to six population (five species) with a culture independent approach targeting the 16S rRNA as the 454 pyrotag sequencing and performed different comparative analysis and the prediction of the metagenome functional capabilities. PUBMED 24871104