Lake Winnipeg (Manitoba, Canada), the world's 12th largest lake by area, is host to yearly cyanobacterial harmful algal blooms (cHABs) dominated by and . cHABs in Lake Winnipeg are primarily a result of eutrophication but may be exacerbated by the recent introduction of dreissenid mussels. Through multiple methods to monitor the potential for toxin production in Lake Winnipeg in conjunction with environmental measures, this study defined the baseline composition of a Lake Winnipeg cHAB to measure potential changes because of dreissenid colonization. Surface water samples were collected in 2013 from 23 sites during summer and from 18 sites in fall. Genetic data and mass spectrometry cyanotoxin profiles identified microcystins (MC) as the most abundant cyanotoxin across all stations, with MC concentrations highest in the north basin. In the fall, genes were sequenced to determine which species had the potential to produce MCs, and 12 of the 18 sites were a mix of both and . Current blooms in Lake Winnipeg produce low levels of MCs, but the capacity to produce cyanotoxins is widespread across both basins. If dreissenid mussels continue to colonize Lake Winnipeg, a shift in physicochemical properties of the lake because of faster water column clearance rates may yield more toxic blooms potentially dominated by microcystin producers.
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http://dx.doi.org/10.3390/toxins11100587 | DOI Listing |
Sci Rep
December 2024
Department of Biology, Concordia University, 7141 Sherbrooke St. West, Montreal, QC, H4B 1R6, Canada.
Intraspecific variation is important for species' long-term persistence in changing environments. Conservation strategies targeting intraspecific variation often rely on the identification of management or policy units below the species level based on biological differences among populations. To identify management units, this paper examines intraspecific divergence of Lake Trout (Salvelinus namaycush) in Great Slave Lake (GSL), Canada, using low-coverage whole-genome sequencing data.
View Article and Find Full Text PDFInterv Neuroradiol
December 2024
Department of Neurosurgery, Clinical Neuroscience Center, University of Utah, Salt Lake City, UT, USA.
Background: The integration of robotics into neuroendovascular surgery has the potential to revolutionize the field by enhancing precision, reducing procedure-related risks, and improving patient outcomes. The CorPath GRX system represents a significant advancement in this domain. In this systematically conducted scoping review, we explore the current applications, advances, and challenges associated with robot-assisted neuroendovascular surgery.
View Article and Find Full Text PDFAccess Microbiol
November 2024
Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Our study aimed to identify the bacterial source of a previously detected mobile antibiotic-resistant gene, , found in a lake that serves as a source to a water treatment plant operated by a First Nation reserve. Three methicillin-resistant presumptive spp. isolated from the sample using selective media were verified as positive by PCR.
View Article and Find Full Text PDFConserv Physiol
December 2024
Department of Biological Sciences, University of Manitoba, 50 Sifton Rd, R3T 2M5 Winnipeg, Manitoba, Canada.
Environmental factors play an important role in phenotypic development of fishes, which has implications for hatchery-reared fishes that are released into the wild where natural cues are present. There is interest in examining how early exposure to dietary odourants can affect development of olfaction. The aim of our study was to use behavioural, molecular and electro-physiological techniques to evaluate how introduction of the amino acid L-alanine to the rearing environment might influence the development of olfactory perception of dietary cues, growth and survival in lake sturgeon (), a species of conservation concern.
View Article and Find Full Text PDFChilds Nerv Syst
December 2024
Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
Purpose: This Hydrocephalus Clinical Research Network (HCRN) study had two aims: (1) to compare the predictive performance of the original ETV Success Score (ETVSS) using logistic regression modeling with other newer machine learning models and (2) to assess whether inclusion of imaging variables improves prediction performance using machine learning models.
Methods: We identified children undergoing first-time ETV for hydrocephalus that were enrolled prospectively at HCRN sites between 200 and 2020. The primary outcome was ETV success 6 months after index surgery.
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