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Xenopus is a genus of African clawed frogs including two species, X. tropicalis and X. laevis that are extensively used in experimental biology, immunology, and biomedical studies. The availability of fully sequenced and annotated Xenopus genomes is strengthening genome-wide analyses of gene families and transgenesis to model human diseases. However, inaccuracies in genome annotation for genes involved in the immune system (i.e., immunome) hamper immunogenetic studies. Furthermore, advanced genome technologies (e.g., single-cell and RNA-Seq) rely on well-annotated genomes. The annotation problems of Xenopus immunome include a lack of established orthology across taxa, merged gene models, poor representation in gene pages on Xenbase, misannotated genes and missing gene IDs. The Xenopus Research Resource for Immunobiology in collaboration with Xenbase and a group of investigators are working to resolve these issues in the latest versions of genome browsers. In this review, we summarize the current problems of previously misannotated gene families that we have recently resolved. We also highlight the expansion, contraction, and diversification of previously misannotated gene families.
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AgAnimalGenomes: browsers for viewing and manually annotating farm animal genomes
Abstract Current genome sequencing technologies have made it possible to generate highly contiguous genome assemblies for non-model animal species. Despite advances in genome assembly methods, there is still room for improvement in the delineation of specific gene features in the genomes. Here we present genome visualization and annotation tools to support seven livestock species (bovine, chicken, goat, horse, pig, sheep, and water buffalo), available in a new resource called AgAnimalGenomes. In addition to supporting the manual refinement of gene models, these browsers provide visualization tracks for hundreds of RNAseq experiments, as well as data generated by the Functional Annotation of Animal Genomes (FAANG) Consortium. For species with predicted gene sets from both Ensembl and RefSeq, the browsers provide special tracks showing the thousands of protein-coding genes that disagree across the two gene sources, serving as a valuable resource to alert researchers to gene model issues that may affect data interpretation. We describe the data and search methods available in the new genome browsers and how to use the provided tools to edit and create new gene models.
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- Award ID(s):
- 1759896
- PAR ID:
- 10432559
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- Mammalian Genome
- Volume:
- 34
- Issue:
- 3
- ISSN:
- 0938-8990
- Page Range / eLocation ID:
- p. 418-436
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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