Treeologie

Resources

Oak Wilt

Biology of the Host

Biology of the Pathogen

Diagnostics

Belter. 2020. PCR vs. isolation and the war against oak wilt. International Oaks

 

Bourgault and others. 2022. Benchmarking a fast and simple on-site detection assay for the oak wilt pathogen Bretziella fagacearum. 

 

Cervenka and others. 2001. How to Identify Common Nitidulid Beetles Associated with Oak Wilt Mats in Minnesota.

 

Dharmaraj and others. 2022. A New Real-Time PCR Assay for Detecting Fungi in Genus Ceratocystis.

 

Everitt and others. 1999. Using Airborne Digital Imagery for Detecting Oak Wilt Disease.

 

Fallon and others 2020. Spectral differentiation of oak wilt from foliar fungal diseaseand drought is correlated with physiological changes.

 

Kurdyla and Appel. 2011. The detection of Ceratocystis fagacearum in Texas using rea;-time p-[olymerase chain reaction.

 

Lamarche and others. 2015. Molecular Detection of 10 of the Most Unwanted Alien Forest Pathogens in Canada Using Real-Time PCR.

 

McLaughlin and others. 2022. Early detection of the oak wilt fungus (Bretziella fagacearum)using trapped nitidulid beetle vectors.

 

Moore and others. Undated. Use of sodium hydroxide DNA extraction methods for nested PCR detection of Bretziella fagacearum in the sapwood of oak species in Minnesota.

 

Sapes and others. 2021. Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination.

 

Singh and others. 2023. Rapid and PCR-free DNA Detection by Nanoaggregation-Enhanced Chemiluminescence.

 

Yang and Juzwik. 2017. Use of Nested and Real-Time PCR for the Detection of Ceratocystis fagacearum in the Sapwood of Diseased Oak Species in Minnesota

Impact

Management

Review Articles

Spread

Surveillance