There are currently 402 studies in the GENERA database.

Advanced Search

General Information

Document type
  • Peer-reviewed journal article
GE organism
  • plum
GE trait
  • disease resistance
Country
  • Italy

Results

Efficacy
  • positive effect

Genetically engineered resistance to Plum pox virus infection in herbaceous and stone fruit hosts Review Article Open Access

Ilardi, V; Nicola-Negri, ED
GM Crops & Food. 2011 Jan-Mar. 2(1):24 - 33

Link to full text (open access, freely available)

PMID: 21844696 DOI: 10.4161/gmcr.2.1.15096 ISSN: 1938-1999

Abstract

Plum pox virus (PPV), a Potyvirus, is the causal agent of sharka, the most detrimental viral disease affecting stone fruit trees. This review focuses on research carried out to obtain PPV- resistant transgenic plants and on how biotechnological strategies evolved in light of the scientific advances made during the last several years. Successful RNA silencing strategies that confer a high level of resistance to strains of PPV have been developed and tested under laboratory and greenhouse conditions. Moreover, field tests showed that transgene-mediated RNA silencing was effective in protecting plum plants against aphid-mediated PPV infection. The new emerging biotechnological approaches for conferring PPV resistance are discussed..

Keywords

plum pox virus, PPV, transgenic, tree

Funding

Funding source
  • Agricultural Research Council
Funding country
  • Italy
Funding type
  • government

Links to outside analysis of this resource

Please contact us if you know of an independent summary or analysis of this resource.

Cite this study

MLA

Ilardi, V, ED Nicola-Negri. "Genetically engineered resistance to Plum pox virus infection in herbaceous and stone fruit hosts." GM Crops & Food 2.1 (2011): 24 - 33. Web. 23 Nov. 2024.

APA

Ilardi, V., Nicola-Negri, ED. (2011). Genetically engineered resistance to Plum pox virus infection in herbaceous and stone fruit hosts. GM Crops & Food, 2(1), 24 - 33. doi:10.4161/gmcr.2.1.15096

Please verify citations before use, citations are automatically generated based on information stored within the GENERA database and therefore may or may not be correct.