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Journal article : Review

Quest for Orthologs in the Era of Biodiversity Genomics

Abstract:
The era of biodiversity genomics is characterized by large-scale genome sequencing efforts that aim to represent each living taxon with an assembled genome. Generating knowledge from this wealth of data has not kept up with this pace. We here discuss major challenges to integrating these novel genomes into a comprehensive functional and evolutionary network spanning the tree of life. In summary, the expanding datasets create a need for scalable gene annotation methods. To trace gene function across species, new methods must seek to increase the resolution of ortholog analyses, e.g. by extending analyses to the protein domain level and by accounting for alternative splicing. Additionally, the scope of orthology prediction should be pushed beyond well-investigated proteomes. This demands the development of specialized methods for the identification of orthologs to short proteins and noncoding RNAs and for the functional characterization of novel gene families. Furthermore, protein structures predicted by machine learning are now readily available, but this new information is yet to be integrated with orthology-based analyses. Finally, an increasing focus should be placed on making orthology assignments adhere to the findable, accessible, interoperable, and reusable (FAIR) principles. This fosters green bioinformatics by avoiding redundant computations and helps integrating diverse scientific communities sharing the need for comparative genetics and genomics information. It should also help with communicating orthology-related concepts in a format that is accessible to the public, to counteract existing misinformation about evolution.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/gbe/evae224

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Author
ORCID:
0009-0004-3348-3130
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Author
ORCID:
0000-0002-6568-9035
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ORCID:
0000-0002-1066-8659
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Author
ORCID:
0000-0002-9977-6786
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Author
ORCID:
0000-0003-1811-4340


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Funder identifier:
https://ror.org/00ca2c886
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Funder identifier:
https://ror.org/0348bpk17
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Funder identifier:
https://ror.org/002n09z45
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Funder identifier:
https://ror.org/029chgv08


Publisher:
Oxford University Press
Journal:
Genome Biology and Evolution More from this journal
Volume:
16
Issue:
10
Article number:
evae224
Publication date:
2024-10-15
Acceptance date:
2024-10-11
DOI:
EISSN:
1759-6653


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2041431
Local pid:
pubs:2041431
Source identifiers:
2380298
Deposit date:
2024-10-30
ARK identifier:
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