Novel and improved Caenorhabditis briggsae gene models generated by community curation

Gene duplication and evolutionary plasticity of lin-12/Notch gene function in Caenorhabditis

Gene duplication is an important substrate for the evolution of new gene functions, but the impacts of gene duplicates on their own activities and on the developmental networks in which they act are poorly understood. Here, we use a natural experiment of lin-12/Notch gene duplication within the nematode genus Caenorhabditis, combined with characterization of loss- and gain-of-function mutations, to uncover functional distinctions between the duplicate genes in 1 species (Caenorhabditis briggsae) and their single-copy ortholog in Caenorhabditis elegans. First, using improved genomic sequence and gene model characterization, we confirm that the C. briggsae genome includes 2 complete lin-12 genes, whereas most other genes encoding proteins that participate in the LIN-12 signaling pathway retain a one-to-one orthology with C. elegans. We use CRISPR-mediated genome editing to introduce alleles predicted to cause gain-of-function (gf) or loss-of-function (lf) into each C. briggsae gene and find that the gf mutations uncover functional distinctions not apparent from the lf alleles. Specifically, Cbr-lin-12.1(gf), but not Cbr-lin-12.2(gf), causes developmental defects similar to those observed in Cel-lin-12(gf). In contrast to Cel-lin-12(gf), however, the Cbr-lin-12.1(gf) alleles do not cause dominant phenotypes as compared to the wild type, and the mutant phenotype is observed only when 2 gf alleles are present. Our results demonstrate that gene duplicates can exhibit differential capacities to compensate for each other and to interfere with normal development, and uncover coincident gene duplication and evolution of developmental sensitivity to LIN-12/Notch activity.

Updates to the Alliance of Genome Resources central infrastructure

The Alliance of Genome Resources (Alliance) is an extensible coalition of knowledgebases focused on the genetics and genomics of intensively studied model organisms. The Alliance is organized as individual knowledge centers with strong connections to their research communities and a centralized software infrastructure, discussed here. Model organisms currently represented in the Alliance are budding yeast, Caenorhabditis elegans, Drosophila, zebrafish, frog, laboratory mouse, laboratory rat, and the Gene Ontology Consortium. The project is in a rapid development phase to harmonize knowledge, store it, analyze it, and present it to the community through a web portal, direct downloads, and application programming interfaces (APIs). Here, we focus on developments over the last 2 years. Specifically, we added and enhanced tools for browsing the genome (JBrowse), downloading sequences, mining complex data (AllianceMine), visualizing pathways, full-text searching of the literature (Textpresso), and sequence similarity searching (SequenceServer). We enhanced existing interactive data tables and added an interactive table of paralogs to complement our representation of orthology. To support individual model organism communities, we implemented species-specific "landing pages" and will add disease-specific portals soon; in addition, we support a common community forum implemented in Discourse software. We describe our progress toward a central persistent database to support curation, the data modeling that underpins harmonization, and progress toward a state-of-the-art literature curation system with integrated artificial intelligence and machine learning (AI/ML).

The Caenorhabditis RNA-seq Browser: a web-based application for on-demand analysis of publicly available Caenorhabditis spp. bulk RNA-sequencing data

The Caenorhabditis RNA-seq Browser is an open-source Shiny web app that enables on-demand visualization and quantification of bulk RNA-sequencing data for five Caenorhabditis species: C. elegans , C. briggsae , C. brenneri , C. japonica , and C. remanei . The app is designed to allow researchers without previous coding experience to interactively explore publicly available Caenorhabditis RNA-sequencing data. Key app features include the ability to plot gene expression across life stages for user-specified gene sets, and modules for performing differential gene expression analyses. The Caenorhabditis RNA-seq Browser can be accessed online via shinyapps.io or can be installed locally in R from a GitHub repository.

Teaching transposon classification as a means to crowd source the curation of repeat annotation - a tardigrade perspective

BACKGROUND

The advancement of sequencing technologies results in the rapid release of hundreds of new genome assemblies a year providing unprecedented resources for the study of genome evolution. Within this context, the significance of in-depth analyses of repetitive elements, transposable elements (TEs) in particular, is increasingly recognized in understanding genome evolution. Despite the plethora of available bioinformatic tools for identifying and annotating TEs, the phylogenetic distance of the target species from a curated and classified database of repetitive element sequences constrains any automated annotation effort. Moreover, manual curation of raw repeat libraries is deemed essential due to the frequent incompleteness of automatically generated consensus sequences.

RESULTS

Here, we present an example of a crowd-sourcing effort aimed at curating and annotating TE libraries of two non-model species built around a collaborative, peer-reviewed teaching process. Manual curation and classification are time-consuming processes that offer limited short-term academic rewards and are typically confined to a few research groups where methods are taught through hands-on experience. Crowd-sourcing efforts could therefore offer a significant opportunity to bridge the gap between learning the methods of curation effectively and empowering the scientific community with high-quality, reusable repeat libraries.

CONCLUSIONS

The collaborative manual curation of TEs from two tardigrade species, for which there were no TE libraries available, resulted in the successful characterization of hundreds of new and diverse TEs in a reasonable time frame. Our crowd-sourcing setting can be used as a teaching reference guide for similar projects: A hidden treasure awaits discovery within non-model organisms.

Quantitative tests of albendazole resistance in beta-tubulin mutants

Benzimidazole (BZ) anthelmintics are among the most important treatments for parasitic nematode infections in the developing world. Widespread BZ resistance in veterinary parasites and emerging resistance in human parasites raise major concerns for the continued use of BZs. Knowledge of the mechanisms of resistance is necessary to make informed treatment decisions and circumvent resistance. Benzimidazole resistance has traditionally been associated with mutations and natural variants in the C. elegans beta-tubulin gene ben-1 and orthologs in parasitic species. However, variants in ben-1 alone do not explain the differences in BZ responses across parasite populations. Here, we examine the roles of five C. elegans beta-tubulin genes (tbb-1, mec-7, tbb-4, ben-1, and tbb-6) to identify the role each gene plays in BZ response. We generated C. elegans strains with a loss of each beta-tubulin gene, as well as strains with a loss of tbb-1, mec-7, tbb-4, or tbb-6 in a genetic background that also lacks ben-1 to test beta-tubulin redundancy in BZ response. We found that only the individual loss of ben-1 conferred a substantial level of BZ resistance, although the loss of tbb-1 was found to confer a small benefit in the presence of albendazole (ABZ). The loss of ben-1 was found to confer an almost complete rescue of animal development in the presence of 30 μM ABZ, likely explaining why no additive effects caused by the loss of a second beta-tubulin were observed. We demonstrate that ben-1 is the only beta-tubulin gene in C. elegans where loss confers substantial BZ resistance.

A standard workflow for community-driven manual curation of Strongyloides genome annotations

Advances in the functional genomics and bioinformatics toolkits for Strongyloides species have positioned these species as genetically tractable model systems for gastrointestinal parasitic nematodes. As community interest in mechanistic studies of Strongyloides species continues to grow, publicly accessible reference genomes and associated genome annotations are critical resources for researchers. Genome annotations for multiple Strongyloides species are broadly available via the WormBase and WormBase ParaSite online repositories. However, a recent phylogenetic analysis of the receptor-type guanylate cyclase (rGC) gene family in two Strongyloides species highlights the potential for errors in a large percentage of current Strongyloides gene models. Here, we present three examples of gene annotation updates within the Strongyloides rGC gene family; each example illustrates a type of error that may occur frequently within the annotation data for Strongyloides genomes. We also extend our analysis to 405 previously curated Strongyloides genes to confirm that gene model errors are found at high rates across gene families. Finally, we introduce a standard manual curation workflow for assessing gene annotation quality and generating corrections, and we discuss how it may be used to facilitate community-driven curation of parasitic nematode biodata. This article is part of the Theo Murphy meeting issue 'Strongyloides: omics to worm-free populations'.

CaeNDR, the Caenorhabditis Natural Diversity Resource

Studies of model organisms have provided important insights into how natural genetic differences shape trait variation. These discoveries are driven by the growing availability of genomes and the expansive experimental toolkits afforded to researchers using these species. For example, Caenorhabditis elegans is increasingly being used to identify and measure the effects of natural genetic variants on traits using quantitative genetics. Since 2016, the C. elegans Natural Diversity Resource (CeNDR) has facilitated many of these studies by providing an archive of wild strains, genome-wide sequence and variant data for each strain, and a genome-wide association (GWA) mapping portal for the C. elegans community. Here, we present an updated platform, the Caenorhabditis Natural Diversity Resource (CaeNDR), that enables quantitative genetics and genomics studies across the three Caenorhabditis species: C. elegans, C. briggsae and C. tropicalis. The CaeNDR platform hosts several databases that are continually updated by the addition of new strains, whole-genome sequence data and annotated variants. Additionally, CaeNDR provides new interactive tools to explore natural variation and enable GWA mappings. All CaeNDR data and tools are accessible through a freely available web portal located at caendr.org.

Updates to the Alliance of Genome Resources Central Infrastructure Alliance of Genome Resources Consortium

The Alliance of Genome Resources (Alliance) is an extensible coalition of knowledgebases focused on the genetics and genomics of intensively-studied model organisms. The Alliance is organized as individual knowledge centers with strong connections to their research communities and a centralized software infrastructure, discussed here. Model organisms currently represented in the Alliance are budding yeast, C. elegans, Drosophila, zebrafish, frog, laboratory mouse, laboratory rat, and the Gene Ontology Consortium. The project is in a rapid development phase to harmonize knowledge, store it, analyze it, and present it to the community through a web portal, direct downloads, and APIs. Here we focus on developments over the last two years. Specifically, we added and enhanced tools for browsing the genome (JBrowse), downloading sequences, mining complex data (AllianceMine), visualizing pathways, full-text searching of the literature (Textpresso), and sequence similarity searching (SequenceServer). We enhanced existing interactive data tables and added an interactive table of paralogs to complement our representation of orthology. To support individual model organism communities, we implemented species-specific "landing pages" and will add disease-specific portals soon; in addition, we support a common community forum implemented in Discourse. We describe our progress towards a central persistent database to support curation, the data modeling that underpins harmonization, and progress towards a state-of-the art literature curation system with integrated Artificial Intelligence and Machine Learning (AI/ML).