Environmental DNA-Based Identification of Non-Native Fish in Beijing: Diversity, Geographical Distribution, and Interactions with Native Taxa DOI Creative Commons
Bo Liu, Hualong Wang, Shiguo Li

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(17), P. 2532 - 2532

Published: Aug. 31, 2024

Rapid urbanization and its associated human activities have facilitated the colonization spread of non-native species, rendering urban ecosystems, particularly in megacities such as Beijing, highly susceptible to biological invasions. This study employed environmental DNA (eDNA) metabarcoding evaluate biodiversity geographical distribution fish, well their interactions with native fish across three river basins Beijing pertaining Daqing River, North Canal, Ji Canal. Across all 67 sampling sites, we identified 60 taxa, representing 11 orders, 23 families, 40 genera, an average 33.0 taxa per site. Of these, were native, accounting for only 47.1% historically recorded species. Additionally, detected 20 spanning 13 17 genera. Native exhibited homogenization basins, while displayed varied distributions. Non-metric multidimensional scaling (NMDS) analysis similarities (ANOSIM) revealed no significant variation communities basins. Although most widespread, some restricted specific sites or The Canal significantly lower compared alpha diversity indices. Simple linear regression analyses indicated positive correlations between number species richness both taxa. Interestingly, co-occurrence predominantly among pairs, two negative relationships involving one provides insights into establishes a baseline future biomonitoring conservation efforts. findings underscore need further investigation mechanisms dynamics invasions within environments Beijing.

Language: Английский

Assessment of Fish Species Biodiversity in the Yong River Basin Based on Environmental DNA Metabarcoding DOI Creative Commons
Shengming Deng,

Bai-an Lin,

Yan Luo

et al.

Diversity, Journal Year: 2025, Volume and Issue: 17(1), P. 35 - 35

Published: Jan. 2, 2025

Fish in the Yong River basin have been significantly impacted by pollution, habitat modification and overfishing. In order to facilitate recovery of freshwater biodiversity, a fishing ban has implemented since 2022. However, high level human activity along waterways poses significant challenge monitoring fish biodiversity using established methods. It is essential, therefore, effective tools assess effectiveness policy. this study, environmental DNA (eDNA) metabarcoding was employed species across five river sections October Additionally, we checked results against gear (drift gillnets ground cages) surveys historical records. A total twenty-two were found from eDNA metabarcoding, fourteen via fishing, only two both The most dominant identified Alburnus mossulensis, present all sections. decline observed whole basin, with difference community composition Upper Yao (UYAR) (YOR). Moreover, detected potentially invasive consistent their geographic distribution. Overall, study provide snapshot current offering baseline data for future evaluations policies ecosystem.

Language: Английский

Citations

1
Overlooked eDNA contamination in human-influenced ecosystems: a call to manage large-scale false positives in biodiversity assessments DOI Creative Commons
Aibin Zhan

Water Biology and Security, Journal Year: 2025, Volume and Issue: unknown, P. 100374 - 100374

Published: Feb. 1, 2025

Language: Английский

Citations

0
Exploring technical improvements for environmental nucleic acids-based biodiversity assessment and management in coastal ecosystems DOI
Fuwen Wang, Wei Xiong,

Yue Liu

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124724 - 124724

Published: Feb. 27, 2025

Language: Английский

Citations

0
Selecting Competent Reverse Transcription Strategies to Maximise Biodiversity Recovery With eRNA Metabarcoding DOI Open Access
Fuwen Wang, Wei Xiong, Xuena Huang

et al.

Molecular Ecology Resources, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

ABSTRACT Both environmental DNA (eDNA) and RNA (eRNA) have been widely adopted for biodiversity assessment. While eDNA often persists longer in environments, eRNA offers a more current view of biological activities. In metabarcoding, extracted is reverse transcribed into complementary (cDNA) metabarcoding. However, the efficacy various transcription strategies has not evaluated. Here we compared recovery efficiency three strategies: random priming with hexamers, oligo(dT) taxa‐specific using Mifish‐U fish both high‐ low‐biodiversity regions. Our results demonstrate that significantly impact recovery. Random consistently detected highest number taxa low‐ high‐biodiversity areas, performed comparably to hexamers; however, regions, hexamers outperformed oligo(dT), particularly recovering rare taxa. was comparable other high‐abundance taxa, it less effective thus limiting its utility comprehensive These differences are largely due multiple binding sites fewer or absent primers under high degradation. Combining improved recovery, especially low‐abundance species, supporting best practice eukaryotes. For prokaryotes genes lacking polyadenylation, favoured over taxa‐ gene‐specific priming. Collectively, these findings underscore critical importance selecting appropriate significant implications monitoring conservation efforts.

Language: Английский

Citations

0
Environmental DNA Metabarcoding Detects Predators at Higher Rates Than Electrofishing DOI Creative Commons
Eric A. Bonk, Robert Hanner, Adrienne J. Bartlett

et al.

Environmental DNA, Journal Year: 2024, Volume and Issue: 6(5)

Published: Sept. 1, 2024

ABSTRACT There are numerous downsides and risks associated with electrofishing; hence, environmental DNA (eDNA) metabarcoding is becoming increasingly common in aquatic ecological studies. Generally, researchers agree that eDNA more sensitive than electrofishing, better at detecting rare species. As predatory species tend to be rarer prey species, should hypothetically detect predator electrofishing. Instead of supporting the notion must replace or electrofishing display same results, current study aims establish strengths weaknesses when compared data were collected on three sampling dates four experimental sites. A RV coefficient analysis confirmed (RV = 0.395, p 0.057) statistically different from data. paired Wilcoxon signed rank test revealed collection techniques ( 0.041). When was conducted for a significant difference did not occur 0.661). Overall, results suggest does as due higher rates. The combined use alongside can help mitigate electrofishing's bias against while address reliability concerns eDNA. This collaborative approach ultimately enhances accuracy fish community assessments.

Language: Английский

Citations

2
Environmental DNA-Based Identification of Non-Native Fish in Beijing: Diversity, Geographical Distribution, and Interactions with Native Taxa DOI Creative Commons
Bo Liu, Hualong Wang, Shiguo Li

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(17), P. 2532 - 2532

Published: Aug. 31, 2024

Rapid urbanization and its associated human activities have facilitated the colonization spread of non-native species, rendering urban ecosystems, particularly in megacities such as Beijing, highly susceptible to biological invasions. This study employed environmental DNA (eDNA) metabarcoding evaluate biodiversity geographical distribution fish, well their interactions with native fish across three river basins Beijing pertaining Daqing River, North Canal, Ji Canal. Across all 67 sampling sites, we identified 60 taxa, representing 11 orders, 23 families, 40 genera, an average 33.0 taxa per site. Of these, were native, accounting for only 47.1% historically recorded species. Additionally, detected 20 spanning 13 17 genera. Native exhibited homogenization basins, while displayed varied distributions. Non-metric multidimensional scaling (NMDS) analysis similarities (ANOSIM) revealed no significant variation communities basins. Although most widespread, some restricted specific sites or The Canal significantly lower compared alpha diversity indices. Simple linear regression analyses indicated positive correlations between number species richness both taxa. Interestingly, co-occurrence predominantly among pairs, two negative relationships involving one provides insights into establishes a baseline future biomonitoring conservation efforts. findings underscore need further investigation mechanisms dynamics invasions within environments Beijing.

Language: Английский

Citations

0