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Addressing the pervasive scarcity of structural annotation in eukaryotic algae
Despite a continuous increase in algal genome sequencing, structural annotations of most algal genome assemblies remain unavailable. This pervasive scarcity of genome annotation has restricted rigorous investigation of these genomic resources and may have precipitated misleading biological interpret...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886943/ https://www.ncbi.nlm.nih.gov/pubmed/36717613 http://dx.doi.org/10.1038/s41598-023-27881-0 |
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author | Kwon, Taehyung Hanschen, Erik R. Hovde, Blake T. |
author_facet | Kwon, Taehyung Hanschen, Erik R. Hovde, Blake T. |
author_sort | Kwon, Taehyung |
collection | PubMed |
description | Despite a continuous increase in algal genome sequencing, structural annotations of most algal genome assemblies remain unavailable. This pervasive scarcity of genome annotation has restricted rigorous investigation of these genomic resources and may have precipitated misleading biological interpretations. However, the annotation process for eukaryotic algal species is often challenging as genomic resources and transcriptomic evidence are not always available. To address this challenge, we benchmark the cutting-edge gene prediction methods that can be generalized for a broad range of non-model eukaryotes. Using the most accurate methods selected based on high-quality algal genomes, we predict structural annotations for 135 unannotated algal genomes. Using previously available genomic data pooled together with new data obtained in this study, we identified the core orthologous genes and the multi-gene phylogeny of eukaryotic algae, including of previously unexplored algal species. This study not only provides a benchmark for the use of structural annotation methods on a variety of non-model eukaryotes, but also compensates for missing data in the current spectrum of algal genomic resources. These results bring us one step closer to the full potential of eukaryotic algal genomics. |
format | Online Article Text |
id | pubmed-9886943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98869432023-02-01 Addressing the pervasive scarcity of structural annotation in eukaryotic algae Kwon, Taehyung Hanschen, Erik R. Hovde, Blake T. Sci Rep Article Despite a continuous increase in algal genome sequencing, structural annotations of most algal genome assemblies remain unavailable. This pervasive scarcity of genome annotation has restricted rigorous investigation of these genomic resources and may have precipitated misleading biological interpretations. However, the annotation process for eukaryotic algal species is often challenging as genomic resources and transcriptomic evidence are not always available. To address this challenge, we benchmark the cutting-edge gene prediction methods that can be generalized for a broad range of non-model eukaryotes. Using the most accurate methods selected based on high-quality algal genomes, we predict structural annotations for 135 unannotated algal genomes. Using previously available genomic data pooled together with new data obtained in this study, we identified the core orthologous genes and the multi-gene phylogeny of eukaryotic algae, including of previously unexplored algal species. This study not only provides a benchmark for the use of structural annotation methods on a variety of non-model eukaryotes, but also compensates for missing data in the current spectrum of algal genomic resources. These results bring us one step closer to the full potential of eukaryotic algal genomics. Nature Publishing Group UK 2023-01-30 /pmc/articles/PMC9886943/ /pubmed/36717613 http://dx.doi.org/10.1038/s41598-023-27881-0 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kwon, Taehyung Hanschen, Erik R. Hovde, Blake T. Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title | Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title_full | Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title_fullStr | Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title_full_unstemmed | Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title_short | Addressing the pervasive scarcity of structural annotation in eukaryotic algae |
title_sort | addressing the pervasive scarcity of structural annotation in eukaryotic algae |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886943/ https://www.ncbi.nlm.nih.gov/pubmed/36717613 http://dx.doi.org/10.1038/s41598-023-27881-0 |
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