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Services for Researchers

Services Available:

Pollen Metabarcoding

pollen grains
Answer:

This service uses ribosomal DNA based primers that amplify the internal transcribed spacer regions (ITS1 and ITS2), which are some of the most widely used plant identification genetic markers. Each sample is barcoded using a nested PCR assay that identifies is as belonging to a specific sample set and then sequenced using next generation Illumina® sequencing. The data is processed using our data processing pipeline and customized plant database to identify plant genera present in each sample and provide the proportion each floral source contributes to the sample.

Coming Soon: Spotted Lanternfly qPCR Detection

comb
Answer:

Although originally designed by the Lockwood lab at Rutgers University, we have modified this semi-quantitative, real-time PCR assay to detect spotted lanternfly DNA in nectar and honey samples. This method is extremely rapid and sensitive and shows excellent promise as an environmental monitoring tool to track spotted lanternfly movement and spread.

Up to 170 samples can be analyzed per run. Processing time is 6-8 weeks.

Cost per sample: PSU $85 USD, External $130. Please contact Dr. Michele Mansfield for more specific questions about pricing and for discounts on bulk sample submission.

Upon receiving your sample(s), you will receive an invoice from the PSU-HPDL and instructions on how to submit your payment.

Interested in submitting a sample?

Fill out our sample submission form* to request our pollen metabarcoding service. We will be in touch shortly!

*If you receive an error message upon submission, we apologize for the 'bugs' in our system! Please email us the information and report the error to Michele Mansfield (man203@psu.edu).

Preferred Contact Method

Upcoming services and suggestions

Because the PSU HPDL was designed to meet the needs of beekeepers and pollinator researchers alike, please let us know what suggestions you have for further services that would be valuable in your research. Some suggestions include:

  • Pollen & lipid ratios for pollen samples to evaluate pollen nutrition
  • Honey characteristic evaluations such as sugar & phenolic content