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Transcriptome innovations in primates revealed by single-molecule long-read sequencing

Authors: Ferrández Peral, Luis, 1991-; Zhan, Xiaoyu; Zhan, Xiaoyu; Alvarez-Estape, Marina; Chiva, Cristina; Esteller Cucala, Paula; García Pérez, Raquel, 1989-; +8 Authors

Transcriptome innovations in primates revealed by single-molecule long-read sequencing

Abstract

Abstract Transcriptomic diversity greatly contributes to the fundamentals of disease, lineage-specific biology, and environmental adaptation. However, much of the actual isoform repertoire contributing to shaping primate evolution remains unknown. Here, we combined deep long- and short-read sequencing complemented with mass spectrometry proteomics in a panel of lymphoblastoid cell lines (LCLs) from human, three other great apes, and rhesus macaque, producing the largest full-length isoform catalog in primates to date. Our transcriptomes reveal thousands of novel transcripts, some of them under active translation, expanding and completing the repertoire of primate gene models. Our comparative analyses unveil hundreds of transcriptomic innovations and isoform usage changes related to immune function and immunological disorders. The confluence of these innovations with signals of positive selection and their limited impact in the proteome points to changes in alternative splicing in genes involved in immune response as an important target of recent regulatory divergence in primates.

Countries
Denmark, Spain
Keywords

Primates, Research, High-Throughput Nucleotide Sequencing, Macaca mulatta, Evolution, Molecular, Alternative Splicing, Animals, Humans, Protein Isoforms, Transcriptome

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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