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Tesi etd-06092017-102134


Tipo di tesi
Tesi di laurea magistrale
Autore
CAGGIANO, BENEDETTA
URN
etd-06092017-102134
Titolo
Development of a PCR diagnostic assay based on rDNA IGS region for the detection of Colletotrichum lupini on lupin seeds.
Dipartimento
SCIENZE AGRARIE, ALIMENTARI E AGRO-AMBIENTALI
Corso di studi
BIOTECNOLOGIE VEGETALI E MICROBICHE
Relatori
relatore Dott.ssa Pecchia, Susanna
correlatore Prof. Giordani, Tommaso
Parole chiave
  • Colletotrichum lupini
  • Lupinus spp.
  • rDNA IGS region
Data inizio appello
17/07/2017
Consultabilità
Non consultabile
Data di rilascio
17/07/2087
Riassunto
Lupins anthracnose is a destructive seed- and airborne disease affecting stems and pods, caused by Colletotrichum lupini. The pathogen is a member of the C. acutatum species complex, and contrasts with other members of the latter by its host specificity and by its apparent low genetic variability.
Primary seed infections as low as 0.01-0.1% can cause very severe infections. Under this conditions, one the most effective management strategies is the development of a robust and sensitive seed detection assay to screen seedlots before planting. PCR-based detection systems exhibit higher levels of sensitivity than conventional techniques but when applied to seed tests they require the extraction of PCR-quality DNA from target organisms in backgrounds of saprophytic organisms and inhibitory seed-derived compounds. To overcome these limitations a new detection protocol for C. lupini based on a biological enrichment step followed by a PCR assay was developed. Several enrichment protocols were compared and a 72-h incubation of the seeds with Yeast Malt Broth amended with ampicillin, streptomycin and lactic acid was the most efficient technique to increase C. lupini biomass before DNA extraction. A species specific C. lupini primer pair was developed, based on rDNA IGS region sequences. The specificity is evaluated against 23 different Colletotrichum species and 21 different non target organisms isolated from seeds of Lupinus albus cv. Multitalia, L. luteus cv. Mister and L. angustifolius cv. Tango. The protocol described here enabled the detection of C. lupini in samples artificially infected with less than 1/1,000 infected seed.
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