Pandora neoaphidis

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  • Pandora is a genus of fungi within the order Entomophthorales of the Zygomycota. It is best known by its representative Pandora neoaphidis, which acts as an obligate pathogen in various species of aphids. It is a widespread species that is often found to be the most common fungal insect pathogen on the local aphid community (e.g. in surveys from Argentina, Slovakia & China). It has therefore been the subject of study for biological control.
  • Pandora neoaphidis is one of the most important fungal pathogens of aphids and has great potential for use in biocontrol. 1–4 Although the life cycle of P. neoaphidis is well known, a detailed molecular understanding of gene expression during the infection process is still lacking.
  • The study fungus here is Pandora neoaphidis (Syn. Erynia neoaphidis). It is within the phylum Entomophtoromycota, class Entomophthoromycetes and order Entomophthorales. Thefungus is an important pathogen on aphids in temperate agroecosystems where it can cause epizootics and control their population onlocal scale. Monitoringand predicting spores fromP. neoaphidis is therefore relevant to use in pest management decision support systems. [1] [2].

Different Developmental Stages & Nutritional Conditions

Reference Genes

Gene Symbol Gene Name Application Scope Accession Number Primer Size [bp] Tm [℃] Detection
18SrRNA[1] 18S ribosomal RNA gene, partial sequence
  • Different developmental stages and under different nutritional conditions.
179 60 SYBR

Moleculer Types

  • mRNA

Evaluation Methods


  • Name: Chun Chen
  • Email:
  • Institution: China Jiliang University, Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, Hangzhou 310018, China

Citation Statistics

Cited by 1 (Based on Google Scholar [2017-06-01])


  1. 1.0 1.1 Chen C, Xie T, Ye S, Jensen AB, Eilenberg J (2016) Selection of reference genes for expression analysis in the entomophthoralean fungus Pandora neoaphidis. Braz J Microbiol 47, 259-265.
  2. Korsnes R, Westrum K, Floistad E, Klingen I (2016) Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis. MethodsX 3, 231-241.