Nature Communications · 2024 · 74 citations · 58 references
Life SciencesBiologyEcologyCommunity EcologyFish EcologyFreshwater EcologyEnvironmental Dna SurveyingFreshwater BiodiversityFreshwater Biodiversity MonitoringFreshwater Community EcologyFreshwater Ecosystem EcologyRiver EcologyBeta DiversityBiodiversity AssessmentEnvironmental Dna (Edna)Environmental Dna AnalysisEnvironmental Dna MetabarcodingFish CommunitiesFreshwater Environmental DnaHabitat Filtering
Anthropogenically forced changes in global freshwater biodiversity demand more efficient monitoring approaches. Consequently, environmental DNA (eDNA) analysis is enabling ecosystem-scale biodiversity assessment, yet the appropriate spatio-temporal resolution of robust biodiversity assessment remains ambiguous. Here, using intensive, spatio-temporal eDNA sampling across space (five rivers in Europe and North America, with an upper range of 20-35 km between samples), time (19 timepoints between 2017 and 2018) and environmental conditions (river flow, pH, conductivity, temperature and rainfall), we characterise the resolution at which information on diversity across the animal kingdom can be gathered from rivers using eDNA. In space, beta diversity was mainly dictated by turnover, on a scale of tens of kilometres, highlighting that diversity measures are not confounded by eDNA from upstream. Fish communities showed nested assemblages along some rivers, coinciding with habitat use. Across time, seasonal life history events, including salmon and eel migration, were detected. Finally, effects of environmental conditions were taxon-specific, reflecting habitat filtering of communities rather than effects on DNA molecules. We conclude that riverine eDNA metabarcoding can measure biodiversity at spatio-temporal scales relevant to species and community ecology, demonstrating its utility in delivering insights into river community ecology during a time of environmental change.
58
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
DADA2: High-resolution sample inference from Illumina amplicon data
Benjamin J. Callahan, Paul J. McMurdie, Michael Rosen et al. · Nature Methods · 2016 · 36.3K citations
Cutadapt removes adapter sequences from high-throughput sequencing reads
Marcel Martin · EMBnet journal · 2011 · 35.8K citations · Full text
BLAST+: architecture and applications
Christiam Camacho, George Coulouris, Vahram Avagyan et al. · BMC Bioinformatics · 2009 · 23.2K citations · Full text