Detection of the European pond turtle (Emys orbicularis) by environmental DNA: is eDNA adequate for reptiles?

作者
Matthieu Raemy,Sylvain Ursenbacher
出处
期刊:Amphibia-reptilia [Brill]
卷期号:39 (2): 135-143 被引量:54
标识
DOI:10.1163/15685381-17000025
摘要

Abstract Recent studies have demonstrated the potential of combining molecular technologies with environmental sampling to detect various vertebrate species in aquatic ecosystems. The European pond turtle ( Emys orbicularis ) is a threatened and elusive aquatic reptile with shy behaviour. We aimed to develop and evaluate a methodology to detect the presence of this secretive aquatic reptile in ponds from environmental water samples. First, we determined that reptilian DNA can be isolated and amplified from water samples in artificial and natural ponds with known turtle density. Then we compared the potential of two water sampling methods (through filtration or precipitation) and found no significant differences between these approaches. Finally, we demonstrated that the eDNA concentration detected is not correlated with the number of E. orbicularis individuals or biomass. Detection of eDNA was higher in artificial ponds with small volumes of water or in the shallow waters of natural ponds. The eDNA-based methodology aims to detect the presence of specific species, even at low density, with better accuracy than visual observation. However, our study indicates that this method of population monitoring should be applied with caution to aquatic reptiles.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xuan发布了新的文献求助10
1秒前
1秒前
Ywffffff完成签到 ,获得积分10
3秒前
5秒前
22m完成签到,获得积分10
5秒前
FashionBoy应助ZAC采纳,获得10
6秒前
YingGer发布了新的文献求助10
6秒前
MOON完成签到,获得积分10
7秒前
01发布了新的文献求助10
7秒前
淡如水完成签到,获得积分10
8秒前
8秒前
weiyange完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
xuan发布了新的文献求助30
10秒前
11秒前
永远少年完成签到,获得积分10
12秒前
乌拉挂机发布了新的文献求助10
12秒前
13秒前
15秒前
15秒前
英吉利25发布了新的文献求助10
16秒前
小旋风发布了新的文献求助10
17秒前
阿聪发布了新的文献求助10
17秒前
keyz发布了新的文献求助10
18秒前
闵嘉嘉完成签到,获得积分20
19秒前
20秒前
20秒前
21秒前
dexiang完成签到,获得积分10
22秒前
方青松应助不安黎云采纳,获得10
22秒前
23秒前
李健应助落后的又蓝采纳,获得10
25秒前
无私妙菡发布了新的文献求助10
25秒前
乌拉挂机完成签到,获得积分10
25秒前
lyla发布了新的文献求助10
25秒前
xuan发布了新的文献求助10
27秒前
27秒前
28秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576585
求助须知:如何正确求助?哪些是违规求助? 9156198
关于积分的说明 19587954
捐赠科研通 7160479
什么是DOI,文献DOI怎么找? 3265053
关于科研通互助平台的介绍 2430187
邀请新用户注册赠送积分活动 2255662