دورية أكاديمية

The detection of great crested newts year round via environmental DNA analysis

التفاصيل البيبلوغرافية
العنوان: The detection of great crested newts year round via environmental DNA analysis
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
الوصف
تدمد:17560500
DOI:10.1186/s13104-017-2657-y