
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178182 - 178182
Published: Dec. 23, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178182 - 178182
Published: Dec. 23, 2024
Language: Английский
Published: April 27, 2025
Language: Английский
Citations
1Environmental Science and Ecotechnology, Journal Year: 2024, Volume and Issue: 21, P. 100441 - 100441
Published: June 12, 2024
The monitoring and management of aquatic ecosystems depend on precise estimates biodiversity. Metabarcoding analyses environmental nucleic acids (eNAs), including DNA (eDNA) RNA (eRNA), have garnered attention for their cost-effective non-invasive biomonitoring capabilities. However, the accuracy biodiversity obtained through eNAs can vary among different organismal groups. Here we evaluate performance eDNA eRNA metabarcoding across nine groups, ranging from bacteria to terrestrial vertebrates, in three cross-sections Yangtze River, China. We observe robust complementarity between data. relative detectability was notably influenced by major taxonomic groups sizes, with providing more signals larger organisms. Both exhibited similar cross-sectional longitudinal patterns. organisms declined metabarcoding, possibly due differential release decay or sizes. While underscoring potential large river biomonitoring, emphasize need interpretation versus This highlights importance careful method selection studies.
Language: Английский
Citations
6Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 358, P. 120949 - 120949
Published: April 23, 2024
Language: Английский
Citations
6Water Biology and Security, Journal Year: 2025, Volume and Issue: unknown, P. 100374 - 100374
Published: Feb. 1, 2025
Language: Английский
Citations
0Molecular 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
0Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124724 - 124724
Published: Feb. 27, 2025
Language: Английский
Citations
0Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113469 - 113469
Published: April 15, 2025
Language: Английский
Citations
0Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13
Published: May 8, 2025
Metabarcoding analysis using fish environmental RNA (eRNA) has demonstrated higher performance compared to that DNA (eDNA) in the Naka River Japan. However, results from representative sampling sites were insufficient estimate diversity of organisms entire river. Therefore, we validated evaluation additional traditional field survey (TFS) data. Data seven surveys on fish, covering area near points where eDNA/eRNA metabarcoding analyses conducted, obtained. Ten species newly identified, with nine determined eDNA and eRNA analyses. Performance was evaluated terms both positive predictive value (PPV) sensitivity. Except for specifically detected only estuary, use data increased PPV 26.5% 36.3% 43.6% 57.7% eRNA. After combining multiple surveys, sensitivities 52.4% 67.4% 57.1% 69.8%, respectively. The increase more pronounced than eDNA, indicating does not decrease when datasets are merged. superior suggests is valuable accurately conducting ecological biodiversity assessments may reduce labor required monitoring river by optimizing analysis.
Language: Английский
Citations
0Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(8)
Published: Aug. 1, 2024
Abstract Rivers are crucial ecosystems supporting biodiversity and human well‐being, yet they face increasing degradation globally. Traditional river biomonitoring methods based on morphological identification of macroinvertebrates present challenges in terms taxonomic resolution scalability. This study explores the application DNA metabarcoding analysis both bulk environmental (eDNA) samples for comprehensive assessment macrozoobenthic biodiversity, detection invasive endangered species, evaluation ecological status northwestern Spain. homogenized water eDNA revealed a mean 100 87 macrozoobenthos species per sample respectively. However, specific composition was significantly different with only 27.3% total being shared. It not possible to identify all OTUs level; 17.43% 49.4% generated could be identified level samples, Additionally, 11 exotic (two first records Iberian Peninsula another three Asturias region) one were detected by molecular tools. Molecular showed significant correlations EQR values (Ecological Quality Ratio) IBMWP index, differences inferred noted, tending indicate higher status. Overall, offers promising approach biomonitoring, providing insights into within single analysis. Further optimization intercalibration required its implementation routine programmes, but scalability multi‐tasking capabilities position it as valuable tool integrated monitoring ecosystems.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178182 - 178182
Published: Dec. 23, 2024
Language: Английский
Citations
1