Keyword search (4,164 papers available)

"tools" Keyword-tagged Publications:

Title Authors PubMed ID
1 Enhancing nutrition education resources through the development and refinement of a checklist using the suitability assessment of materials (SAM) Sage O; Wang F; DiAngelo C; Marsden S; Faustini C; Grant S; Cohen TR; 40820296
MATHSTATS
2 em Candida albicans /em : a historical overview of investigations into an important human pathogen Shrivastava M; Whiteway M; 40522159
BIOLOGY
3 Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada Beemelmanns A; Bouchard R; Michaelides S; Normandeau E; Jeon HB; Chamlian B; Babin C; Hénault P; Perrot O; Harris LN; Zhu X; Fraser D; Bernatchez L; Moore JS; 39552382
BIOLOGY
4 Assessment of Autism Spectrum Disorders in Children with Visual Impairment and Blindness: A Scoping Review Moire Stevenson 38546815
PSYCHOLOGY
5 Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; 35334411
PSYCHOLOGY
6 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM
7 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada
Authors:Beemelmanns ABouchard RMichaelides SNormandeau EJeon HBChamlian BBabin CHénault PPerrot OHarris LNZhu XFraser DBernatchez LMoore JS
Link:https://pubmed.ncbi.nlm.nih.gov/39552382/
DOI:10.1111/1755-0998.14040
Publication:Molecular ecology resources
Keywords:SNP filteringgenomic toolsgenotyping‐in‐thousands by sequencing (GT‐seq)indigenous fisherieslow‐coverage whole genome sequencingpopulation assignments
PMID:39552382 Category: Date Added:2024-11-18
Dept Affiliation: BIOLOGY
1 Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.
2 Département de Biologie, Université Laval, Québec, Québec, Canada.
3 Department of Biology, Concordia University, Montreal, Québec, Canada.
4 Plateforme de Bio-Informatique de l'IBIS (Institut de Biologie Intégrative et des Systèmes), Université Laval, Québec, Quebec, Canada.
5 National Institute of Biological Resources, Biodiversity Research and Cooperation Division, Incheon, Republic of Korea.
6 Fisheries and Oceans Canada, Arctic and Aquatic Research Division, Freshwater Institute, Winnipeg, Manitoba, Canada.

Description:

Single nucleotide polymorphism (SNP) panels are powerful tools for assessing the genetic population structure and dispersal of fishes and can enhance management practices for commercial, recreational and subsistence mixed-stock fisheries. Arctic Char (Salvelinus alpinus), Brook Trout (Salvelinus fontinalis) and Lake Whitefish (Coregonus clupeaformis) are among the most harvested and consumed fish species in Northern Indigenous communities in Canada, contributing significantly to food security, culture, tradition and economy. However, genetic resources supporting Indigenous fisheries have not been widely accessible to northern communities (e.g. Inuit, Cree, Dene). Here, we developed Genotyping-in-Thousands by sequencing (GT-seq) panels for population assignment and mixed-stock analyses of three salmonids, to support fisheries stewardship or co-management in Northern Canada. Using low-coverage Whole Genome Sequencing data from 418 individuals across source populations in Cambridge Bay (Nunavut), Great Slave Lake (Northwest Territories), James Bay (Québec) and Mistassini Lake (Québec), we developed a bioinformatic SNP filtering workflow to select informative SNP markers from genotype likelihoods. These markers were then used to design GT-seq panels, thus enabling high-throughput genotyping for these species. The three GT-seq panels yielded an average of 413 autosomal loci and were validated using 525 individuals with an average assignment accuracy of 83%. Thus, these GT-seq panels are powerful tools for assessing population structure and quantifying the relative contributions of populations/stocks in mixed-stock fisheries across multiple regions. Interweaving genomic data derived from these tools with Traditional Ecological Knowledge will ensure the sustainable harvest of three culturally important salmonids in Indigenous communities, contributing to food security programmes and the economy in Northern Canada.





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