دورية أكاديمية
The detection of great crested newts year round via environmental DNA analysis
العنوان: | The detection of great crested newts year round via environmental DNA analysis |
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المؤلفون: | Helen C. Rees, Claire A. Baker, David S. Gardner, Ben C. Maddison, Kevin C. Gough |
المصدر: | BMC Research Notes, Vol 10, Iss 1, Pp 1-4 (2017) |
بيانات النشر: | BMC, 2017. |
سنة النشر: | 2017 |
المجموعة: | LCC:Medicine LCC:Biology (General) LCC:Science (General) |
مصطلحات موضوعية: | Environmental DNA (eDNA), Great crested newts, Pond, Sampling season, Survey, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390 |
الوصف: | Abstract Objective Analysis of environmental DNA (eDNA) is a method that has been used for the detection of various species within water bodies. The great crested newt (Triturus cristatus) has a short eDNA survey season (mid-April to June). Here we investigate whether this season could be extended into other months using the current methodology as stipulated by Natural England. Results Here we present data to show that in monthly water samples taken from two ponds (March 2014–February 2015) we were able to detect great crested newt DNA in all months in at least one of the ponds. Similar levels of great crested newt eDNA (i.e. highly positive identification) were detected through the months of March–August, suggesting it may be possible to extend the current survey window. In order to determine how applicable these observations are for ponds throughout the rest of the UK, further work in multiple other ponds over multiple seasons is suggested. Nevertheless, the current work clearly demonstrates, in two ponds, the efficacy and reproducibility of eDNA detection for determining the presence of great crested newts. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1756-0500 |
Relation: | http://link.springer.com/article/10.1186/s13104-017-2657-y; https://doaj.org/toc/1756-0500 |
DOI: | 10.1186/s13104-017-2657-y |
URL الوصول: | https://doaj.org/article/6964b341bbcc4877ad969d4f12ba5b0b |
رقم الأكسشن: | edsdoj.6964b341bbcc4877ad969d4f12ba5b0b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 17560500 |
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DOI: | 10.1186/s13104-017-2657-y |