Experiences in providing a community educational resource for the All of Us Researcher Workbench.

OBJECTIVE: Educational offerings to fill the bioinformatics knowledge gap are a key component to enhancing access and use of health data from the All of Us Research Program. We developed a Train the Trainer-based, innovative training series including project-based learning, modular on-demand demonstrations, and unstructured tutorial time as a model for educational engagement in the All of Us community. MATERIALS AND METHODS: We highlight our training modules and content, with training survey data informing cycles of development in the creation of a 6-module training series with modular demonstrations. RESULTS: We have conducted 2 public iterations of the Train the Trainer (Tx3) Series based on survey feedback while training over 300 registered researchers to access and analyze data on the All of Us Researcher Workbench. DISCUSSION AND CONCLUSION: Future directions of the Tx3 Series include enhanced focus on project-based learning and learner requests for modularity and asynchronous materials access.

Development and evaluation of a training curriculum to engage researchers on accessing and analyzing the All of Us data.

OBJECTIVE: The All of Us Evenings with Genetics (EwG) Research Program at Baylor College of Medicine (BCM), funded to engage research scholars to work with the All of Us data, developed a training curriculum for the Researcher Workbench, the platform to access and analyze All of Us data. All of Us EwG developed the curriculum so that it could teach scholars regardless of their skills and background in programming languages and cloud computing. All of Us EwG delivered this curriculum at the first annual All of Us EwG Faculty Summit in May 2022. The curriculum was evaluated both during and after the Faculty Summit so that it could be improved for future training. MATERIALS AND METHODS: Surveys were administered to assess scholars' familiarity with the programming languages and computational tools required to use the Researcher Workbench. The curriculum was developed using backward design and was informed by the survey results, a review of available resources for training users on the Researcher Workbench, and All of Us EwG members' collective experience training students. The curriculum was evaluated using feedback surveys during the Faculty Summit as well as virtual meetings and emails following the Faculty Summit. RESULTS: The evaluation results demonstrated the success of the curriculum and identified areas for improvement. DISCUSSION AND CONCLUSION: The curriculum has been adapted and improved in response to evaluations and in response to changes to the All of Us data and infrastructure to train more researchers through this program and other scholarly programs.

Construction of a single nucleotide polymorphism linkage map and identification of quantitative trait loci controlling heat tolerance in cowpea, Vigna unguiculata (L.) Walp.

Plant tolerance to heat or high temperature is crucial to crop production, especially in the situation of elevated temperature resulting from global climate change. Cowpea, Vigna unguiculata (L.) Walp., is an internationally important legume food crop and an excellent pool of genes for numerous traits resilient to environmental extremes, particularly heat and drought. Here, we report a single nucleotide polymorphism (SNP) genetic map for cowpea and identification of the loci controlling the heat tolerance in the species. The SNP map consists of 531 bins containing 4,154 SNPs grouped into 11 linkage groups, and collectively spans 1,084.7 cM, thus having a density of one SNP in 0.26 cM or 149 kb. The 11 linkage groups of the map were aligned to the 11 cowpea chromosomes. Quantitative trait locus (QTL) mapping identified nine QTLs responsible for the cowpea heat tolerance on seven of the 11 chromosomes, with each QTL explaining 6.5-21.8% of heat tolerance phenotypic variation. Moreover, we aligned these nine QTLs to the cowpea genome. Each of the QTLs was positioned in a genomic region ranging from 209,000 bp to 12,590,450 bp, and the QTL with the largest effect (21.8%) on heat tolerance, qHT4-1, was located within an interval of only 234,195 bp. These results provide SNP markers useful for marker-assisted selection for heat tolerance and lay a foundation for cloning, characterization, and applications of the genes controlling the cowpea heat tolerance for heat tolerance genetic improvement in cowpea and related crops.

Quantitative trait loci influencing days to flowering and plant height in cowpea, Vigna unguiculata (L.) Walp.

Cowpea (Vigna unguiculate (L.) Walp.) is a worldwide important multifunctional legume crop for food grain, vegetable, fodder, and cover crop. Nevertheless, only limited research has been conducted on agronomic traits. Here, we report quantitative trait locus (QTL) analysis of the days to flowering (DTF) and plant height (PH) using a dense SNP linkage map recently developed from a recombinant inbred line (RIL) population derived from a cross between Golden Eye Cream and IT98K-476-8. The population was phenotyped for DTF and PH through field and greenhouse trials under two environments. The QTLs controlling these traits were mapped using multiple-environment combined and individual trial phenotypic data. The combined data analysis identified one major QTL (qDTF9.1) for DTF, and one major QTL (qPH9.1) and a minor QTL (qPH4.1) for PH. qDTF9.1 and qPH9.1 were adjacent to each other on Chromosome 9 and each explained 29.3% and 29.5% of the phenotypic variation (PVE), respectively. The individual trial data analysis identified a minor QTL (qDTF2.1) on Chromosome 2 for DTF and two minor QTLs (qPH4.1 and qPH4.2) on Chromosome 4 for PH, while the major QTLs, qDTF9.1 and qPH9.1, were consistently identified in all trials conducted. Epistasis analysis revealed that qDTF9.1 interacted with one locus on Chromosome 4, contributed 50% of the PVE, and qPH9.1 interacted with one locus on each of Chromosomes 4 and 6, contributing 30% and 23% of the PVE, respectively, suggesting that epistasis plays an important role in the trait performance. These results, therefore, provide a deeper understanding of the genetic architecture of plant DTF and PH, and molecular tools necessary for cloning the genes and for enhanced cowpea breeding.