Can the Use of Art and Active Learning Improve Retention and Observational Skill Confidence Among Audiology Graduate Students

Human anatomy and physiology is considered one of the most difficult courses a student can take in a pre-health professional major in the US (Slominski, et. al., 2017). Research has revealed benefits of the use of art and anatomy within medical education, including improved clinical observational skills, greater understanding of disease and patient perspectives, and greater ability to empathize (Bell & Evans, 2014). Bell and Evans (2014) argue that observational skills are often overlooked in medical education. Use of art assignments in a graduate anatomy and physiology course will be discussed with reference to design and learning outcomes. The purpose of this study was to evaluate the relationship between art and medical education for audiology students. This study aimed to incorporate STEAM education (art assignments, the teaching effect, and community outreach) into audiology curriculum. Auburn University’s Au.D. class of 2022 participated in this study, consisting of 10 students. The Student Assessment of Learning Gains (SALG) questionnaire was conducted and provided qualitative and quantitative evidence supporting the integration of art in the Doctor of Audiology curriculum. BASE (pre) and SALG (post) outcomes assessed that the use of STEAM assignments can help improve the retention of the anatomy and physiology within of the auditory system. Cross-tabulations of pre and post course responses show a positive increase in student understanding of course material. A positive perception that art assignments enhanced student confidence and clinical observation skills related to the course was observed.  Many students felt they had a great gain in understanding covered topics. The effects of utilizing the teaching effect and community outreach were also positively seen by student participants. Students’ opinions following coursework and cross-tabulations support a place for art in health education and healthcare

Analyses of 600+ insect genomes reveal repetitive element dynamics and highlight biodiversity-scale repeat annotation challenges.

Repetitive elements (REs) are integral to the composition, structure, and function of eukaryotic genomes, yet remain understudied in most taxonomic groups. We investigated REs across 601 insect species and report wide variation in RE dynamics across groups. Analysis of associations between REs and protein-coding genes revealed dynamic evolution at the interface between REs and coding regions across insects, including notably elevated RE-gene associations in lineages with abundant long interspersed nuclear elements (LINEs). We leveraged this large, empirical data set to quantify impacts of long-read technology on RE detection and investigate fundamental challenges to RE annotation in diverse groups. In long-read assemblies, we detected ∼36% more REs than short-read assemblies, with long terminal repeats (LTRs) showing 162% increased detection, whereas DNA transposons and LINEs showed less respective technology-related bias. In most insect lineages, 25%-85% of repetitive sequences were unclassified following automated annotation, compared with only ∼13% in Drosophila species. Although the diversity of available insect genomes has rapidly expanded, we show the rate of community contributions to RE databases has not kept pace, preventing efficient annotation and high-resolution study of REs in most groups. We highlight the tremendous opportunity and need for the biodiversity genomics field to embrace REs and suggest collective steps for making progress toward this goal

Long Reads Are Revolutionizing 20 Years of Insect Genome Sequencing

The first insect genome assembly (Drosophila melanogaster) was published two decades ago. Today, nuclear genome assemblies are available for a staggering 601 insect species representing 20 orders. In this study, we analyzed the most-contiguous assembly for each species and provide a "state-of-the-field" perspective, emphasizing taxonomic representation, assembly quality, gene completeness, and sequencing technologies. Relative to species richness, genomic efforts have been biased toward four orders (Diptera, Hymenoptera, Collembola, and Phasmatodea), Coleoptera are underrepresented, and 11 orders still lack a publicly available genome assembly. The average insect genome assembly is 439.2 Mb in length with 87.5% of single-copy benchmarking genes intact. Most notable has been the impact of long-read sequencing; assemblies that incorporate long reads are ∼48× more contiguous than those that do not. We offer four recommendations as we collectively continue building insect genome resources: 1) seek better integration between independent research groups and consortia, 2) balance future sampling between filling taxonomic gaps and generating data for targeted questions, 3) take advantage of long-read sequencing technologies, and 4) expand and improve gene annotations

Long-reads are revolutionizing 20 years of insect genome sequencing

The first insect genome assembly (Drosophila melanogaster) was published two decades ago. Today, nuclear genome assemblies are available for a staggering 601 insect species representing 20 orders. In this study, we analyzed the most-contiguous assembly for each species and provide a "state-of-the-field" perspective, emphasizing taxonomic representation, assembly quality, gene completeness, and sequencing technologies. Relative to species richness, genomic efforts have been biased toward four orders (Diptera, Hymenoptera, Collembola, and Phasmatodea), Coleoptera are underrepresented, and 11 orders still lack a publicly available genome assembly. The average insect genome assembly is 439.2 Mb in length with 87.5% of single-copy benchmarking genes intact. Most notable has been the impact of long-read sequencing; assemblies that incorporate long reads are ∼48× more contiguous than those that do not. We offer four recommendations as we collectively continue building insect genome resources: 1) seek better integration between independent research groups and consortia, 2) balance future sampling between filling taxonomic gaps and generating data for targeted questions, 3) take advantage of long-read sequencing technologies, and 4) expand and improve gene annotations