Jan 22, 2021 | Aquaculture, Marine ecosytems
Environmental DNA (eDNA) metabarcoding can rapidly characterize the composition and diversity of benthic communities, thus it has high potential utility for routine assessments of benthic impacts of marine finfish farming. In this study, 126 sediment grab samples from 42 stations were collected at six salmon farms in British Columbia, Canada. Benthic community changes were assessed by both eDNA metabarcoding of metazoans and macrofaunal polychaete surveys.
Apr 13, 2020 | Aquaculture, Marine ecosytems
Increasing anthropogenic impact and global change effects on natural ecosystems has prompted the development of less expensive and more efficient bioassessments methodologies. One promising approach is the integration of DNA metabarcoding in environmental monitoring. A critical step in this process is the inference of ecological quality (EQ) status from identified molecular bioindicator signatures that mirror environmental classification based on standard macroinvertebrate surveys.
Jan 7, 2019 | Aquaculture, Marine ecosytems
The diversity of the haemosporidian genera Plasmodium, Haemoproteus and Leucocytozoon in birds from rain forests in Madagascar is characterized combining techniques of PCR and microscopy and based on the examination of 72 host individuals of 23 species in 15 families. High total prevalence of haemosporidians (68%) is detected, with Leucocytozoon infections being predominant (59.7%) and lower comparable prevalence of Plasmodium (18.0%) and Haemoproteus (23.6%) infections.
Jul 20, 2018 | Aquaculture, Marine ecosytems
Ciliates are powerful indicators for monitoring the impact of aquaculture and other industrial activities in the marine environment. Here we tested the efficiency of four different genetic markers (V4 and V9 regions of the SSU rRNA gene, D1 and D2 regions of the LSU rRNA gene, obtained from environmental (e)DNA and environmental (e)RNA) of benthic ciliate communities for environmental monitoring.
Feb 27, 2018 | Aquaculture, Marine ecosytems
The backbone of benthic marine monitoring programs is the biological component, traditionally the macrofauna inventory. Such macrofauna-based environmental impact assessments (EIA), however, are very time consuming and expensive. To overcome these shortcomings, we used environmental metabarcoding to test the potential of protists as bioindicators in EIAs.
Feb 25, 2018 | Aquaculture, Marine ecosytems
We evaluated benthic bacterial communities as bioindicators in environmental impact assessments of salmon aquaculture, a rapidly growing sector of seafood industry. Sediment samples (n=72) were collected from below salmon cages towards distant reference sites. Bacterial community profiles inferred from DNA metabarcodes were compared to reference data from standard macrofauna biomonitoring surveys of the same samples.
Jun 1, 2016 | Aquaculture, Marine ecosytems
The rapid growth of the salmon industry necessitates the development of fast and accurate tools to assess its environmental impact. Macrobenthic monitoring is commonly used to measure the impact of organic enrichment associated with salmon farm activities. However, classical benthic monitoring can hardly answer the rapidly growing demand because the morphological identification of macro-invertebrates is time-consuming, expensive and requires taxonomic expertise.
Nov 15, 2015 | Aquaculture, Marine ecosytems
Assessing the environmental impact of salmon farms on benthic systems is traditionally undertaken using biotic indices derived from microscopic analyses of macrobenthic infaunal (MI) communities. In this study, we tested the applicability of using foraminiferal-specific high-throughput sequencing (HTS) metabarcoding for monitoring these habitats.
Apr 15, 2014 | Aquaculture, Marine ecosytems
The measurement of species diversity represents a powerful tool for assessing the impacts of human activities on marine ecosystems. Traditionally, the impact of fish farming on the coastal environment is evaluated by monitoring the dynamics of macrobenthic infaunal populations. However, taxonomic sorting and morphology-based identification of the macrobenthos demand highly trained specialists and are extremely time-consuming and costly, making it unsuitable for large-scale biomonitoring efforts involving numerous samples.
