Metabarcoding reveals strong spatial structure and temporal turnover of zooplankton communities among marine and freshwater ports
By Frédéric J. J. Chain, E. Brown, H. MacIsaac, M. Cristescu. 2016
106 citations recorded by the source corpus.
Subfields: Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1c80b52f0201cb35bb1585c26e8ee59cbbcf005e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- M. Cristescu
- H. MacIsaac
- N. Rodríguez‐Ezpeleta
- Á. Borja
- Aibin Zhan
- Neil J. Gemmell
- Eva Aylagas
- Xabier Irigoien
In Molecular Biology
- M. Cristescu
- N. Rodríguez‐Ezpeleta
- Aibin Zhan
- E. Brown
- Xavier Pochon
- H. MacIsaac
- Frédéric J. J. Chain
- Paul D. N. Hebert
Citations in the corpus
- Towards the Optimization of eDNA/eRNA Sampling Technologies for Marine Biosecurity Surveillance (2021, background): “, [23,24]), detect and monitor rare species in complex environments (e.”
- Benchmarking DNA Metabarcoding for Biodiversity-Based Monitoring and Assessment (2016, background): “…of aquatic environments (Porazinska et al., 2009; Chariton et al., 2010; Fonseca et al., 2014; Dell’Anno et al., 2015; Leray and Knowlton, 2015; Chain et al., 2016), and an increasing number of studies have directly applied the approach for environmental biomonitoring purposes (Ji et al.,…”
- Early detection of aquatic invaders using metabarcoding reveals a high number of non‐indigenous species in Canadian ports (2016, background): “These sequences were not verified or quality checked, but previous analyses revealed that most of the common zooplankton groups reported within Canada are detectable using the local database (Chain et al., 2016).”