Environmental DNA detection range for Hydrilla verticillata, a prolific invasive plant

氢化物 环境DNA 入侵物种 生物 航程(航空) 生态学 人口 水生植物 生物多样性 水生植物 社会学 人口学 复合材料 材料科学
作者
Daniel Weber,Michael Tessler,Steven H. Pearson
出处
期刊:Freshwater Science [The University of Chicago Press]
卷期号:42 (4): 337-346
标识
DOI:10.1086/728097
摘要

Environmental DNA (eDNA) is a powerful conservation tool that has made significant advancements in the past decade. Since its initial application in 2008 to detect invasive tadpoles, eDNA has become popular for finding rare and invasive species that are otherwise difficult to detect through traditional field sampling methods. This study sought to determine a detectable range of eDNA for an aggressively invasive aquatic plant species, Hydrilla verticillata (L. f.) Royle, as well as to understand how stream discharge affects eDNA detection distance. To do so, we surveyed downstream of a large reservoir, which is separated from its distributary by a dam. Hydrilla verticillata is present in the reservoir but absent in the distributary. We used correlation analysis to understand the relationship between transportation distance and detection. We also built upon a model developed by Pont et al. (2018) to assess the relationships between stream discharge and eDNA detection distance, as well as to compare this relationship for our plant-based eDNA study with previous animal-based studies. By utilizing this natural system and surveying at different points downstream of the known population, this study detected H. verticillata eDNA nearly 5 km from the source population. This study, which is the 1st known instance of correlating plant eDNA to animal eDNA detection ranges, suggests the genetic material of both kingdoms are similarly detectable in flowing freshwaters and supports other studies that suggest discharge is a strong predictor of the detectable distance of eDNA.

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
lijiayi发布了新的文献求助10
刚刚
刚刚
kilomiters发布了新的文献求助10
1秒前
苏yb完成签到,获得积分10
1秒前
科研通AI2S应助能干秋珊采纳,获得10
2秒前
2秒前
2秒前
3秒前
3秒前
谷明洋完成签到,获得积分10
3秒前
orixero应助Judy采纳,获得10
3秒前
jayto发布了新的文献求助10
4秒前
4秒前
JJS发布了新的文献求助10
4秒前
星辰大海应助fanzhimeng采纳,获得10
4秒前
4秒前
Akim应助Nancy采纳,获得10
4秒前
yull完成签到,获得积分10
4秒前
邹雄辉发布了新的文献求助10
5秒前
罗雨坤发布了新的文献求助10
5秒前
羊羊羊完成签到,获得积分10
5秒前
善学以致用应助lyn123采纳,获得10
6秒前
爱喝佳得乐完成签到,获得积分10
6秒前
斯文败类应助火星上莛采纳,获得10
7秒前
7秒前
zxy完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
天天快乐应助淡定的竺采纳,获得10
8秒前
相小芳完成签到,获得积分10
8秒前
8秒前
111发布了新的文献求助10
8秒前
8秒前
Alex发布了新的文献求助10
8秒前
8秒前
qizhang完成签到,获得积分10
9秒前
Halbira完成签到,获得积分10
9秒前
年轻迪奥发布了新的文献求助10
9秒前
9秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Advanced Memory Technology: Functional Materials and Devices 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5692886
求助须知:如何正确求助?哪些是违规求助? 5090698
关于积分的说明 15210088
捐赠科研通 4850102
什么是DOI,文献DOI怎么找? 2601504
邀请新用户注册赠送积分活动 1553332
关于科研通互助平台的介绍 1511381