E-Mentoring Program for Graduate and Undergraduate Nursing Students: Outline of Program Modules and Pre and Post Survey Templates

Many new graduate nurses face difficulties in their transition to professional practice. To help mitigate these difficulties, socialization through social supports and mentoring are critical to facilitate entry to practice (Robbio, 2018) and may be realized through opportunities for empathetic, authentic, and relational mentoring to address ongoing issues, such as isolation and a lack of social connectivity and mental wellbeing, faced by nursing students (Cengiz et al., 2021). Traditional in-person mentoring may encounter barriers, such as unsupportive work environments, lack of mentor access, heavy workloads and location and distance constraints. To address these limitations, an e-mentoring program for nursing students by nursing students was developed as a viable transitional strategy. This document provides individuals with access to the following openly licensed components from York University’s E-Mentoring Program: Partnering Graduate Nursing Students and Undergraduate Nursing Students: A list of the modules in the fully online program; Access to the survey instruments that were developed and administered to e-mentees and e-mentors prior to the program and at the completion of the program.Academic Innovation Fun

High-Throughput Isolation of Caenorhabditis elegans Deletion Mutants

The nematode Caenorhabditis elegans is the first animal whose genome is completely sequenced, providing a rich source of gene information relevant to metazoan biology and human disease. This abundant sequence information permits a broad-based gene inactivation approach in C. elegans, in which chemically mutagenized nematode populations are screened by PCR for deletion mutations in a specific targeted gene. By handling mutagenized worm growth, genomic DNA templates, PCR screens, and mutant recovery all in 96-well microtiter plates, we have scaled up this approach to isolate deletion mutations in >100 genes to date. Four chemical mutagens, including ethyl methane sulfonate, ethlynitrosourea, diepoxyoctane, and ultraviolet-activated trimethylpsoralen, induced detectable deletions at comparable frequencies. The deletions averaged ∼1400 bp in size when using a ∼3 kb screening window. The vast majority of detected deletions removed portions of one or more exons, likely resulting in loss of gene function. This approach requires only the knowledge of a target gene sequence and a suitable mutagen, and thus provides a scalable systematic approach to gene inactivation for any organism that can be handled in high density arrays

Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle

Using a combination of whole-genome resequencing and high-density genotyping arrays, genome-wide haplotypes were reconstructed for two of the most important bulls in the history of the dairy cattle industry, Pawnee Farm Arlinda Chief (“Chief”) and his son Walkway Chief Mark (“Mark”), each accounting for ∼7% of all current genomes. We aligned 20.5 Gbp (∼7.3× coverage) and 37.9 Gbp (∼13.5× coverage) of the Chief and Mark genomic sequences, respectively. More than 1.3 million high-quality SNPs were detected in Chief and Mark sequences. The genome-wide haplotypes inherited by Mark from Chief were reconstructed using ∼1 million informative SNPs. Comparison of a set of 15,826 SNPs that overlapped in the sequence-based and BovineSNP50 SNPs showed the accuracy of the sequence-based haplotype reconstruction to be as high as 97%. By using the BovineSNP50 genotypes, the frequencies of Chief alleles on his two haplotypes then were determined in 1,149 of his descendants, and the distribution was compared with the frequencies that would be expected assuming no selection. We identified 49 chromosomal segments in which Chief alleles showed strong evidence of selection. Candidate polymorphisms for traits that have been under selection in the dairy cattle population then were identified by referencing Chief’s DNA sequence within these selected chromosome blocks. Eleven candidate genes were identified with functions related to milk-production, fertility, and disease-resistance traits. These data demonstrate that haplotype reconstruction of an ancestral proband by whole-genome resequencing in combination with high-density SNP genotyping of descendants can be used for rapid, genome-wide identification of the ancestor’s alleles that have been subjected to artificial selection