التفاصيل البيبلوغرافية
| العنوان: |
Application of a quantitative molecular methods to characterize abundance and distribution of Alexandrium cysts for NOAA's HAB Forecasting |
| المؤلفون: |
Greengrove, Cheryl, Kibler, Steve, Masura, Julie, Matweyou, Julie, Hart, Courtney |
| المصدر: |
19th International Conference on Harmful Algae, La Paz, B. C. S., Mexico. International Society for the Study of Harmful Algal Blooms, October, 2021 |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2022 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
Alexandrium catenella, cysts, qPCR, forecasting, Gulf of Maine, Puget Sound, Alaska |
| الوصف: |
The toxic dinoflagellate Alexandrium catenella overwinters as a benthic resting cyst and germinates into the water column in the spring, making cells available for filter feeding by shellfish. Previous studies have mapped winter distribution of A. catenella cysts in Gulf of Maine and Puget Sound sediments to provide shellfish growers/harvesters with an early warning system of potential hotspots for blooms. However, the current protocol for cyst enumeration by fluorescent microscopy is time consuming and requires highly specific training. This MERHAB project is to develop a new qPCR assay for A. catenella cysts for evaluation against the standard microscopy protocol to produce more rapid and accurate cyst abundance data. 2019 and 2020 sediment samples were collected in the Gulf of Maine, Puget Sound and Alaska for cyst mapping, interlaboratory comparison, and qPCR development. Interlaboratory comparisons of cyst enumeration using the standard microscopy method show no significant differences. qPCR development is underway and preliminary results are presented here. |
| نوع الوثيقة: |
conference object |
| اللغة: |
unknown |
| Relation: |
https://doi.org/10.5281/zenodo.7013546; https://doi.org/10.5281/zenodo.7036215; oai:zenodo.org:7036215 |
| DOI: |
10.5281/zenodo.7036215 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.7036215 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.BD2D0A37 |
| قاعدة البيانات: |
BASE |