2022
DOI: 10.1101/2022.08.02.502533
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Resurrecting the Alternative Splicing Landscape of Archaic Hominins using Machine Learning

Abstract: Alternative splicing contributes to adaptation and divergence in many species. However, it has not been possible to directly compare splicing between modern and archaic hominins. Here, we unmask the recent evolution of this previously unobservable regulatory mechanism by applying SpliceAI, a machine-learning algorithm that identifies splice altering variants (SAVs), to high-coverage genomes from three Neanderthals and a Denisovan. We discover 5,950 putative archaic SAVs, of which 2,343 are archaic-specific and… Show more

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Cited by 2 publications
(3 citation statements)
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References 100 publications
(313 reference statements)
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“…We identified 36 archaic-specific splice altering variants, defined as those variants absent from 1KGP, among 28 circadian genes. Next, we tested for enrichment among this gene set using an empirical null approach (Brand, Colbran, and Capra 2022; McArthur et al 2022). We shuffled the maximum deltas among 1,607,350 variants 10,000 times and counted the number of circadian genes with a splice altering variant each iteration.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We identified 36 archaic-specific splice altering variants, defined as those variants absent from 1KGP, among 28 circadian genes. Next, we tested for enrichment among this gene set using an empirical null approach (Brand, Colbran, and Capra 2022; McArthur et al 2022). We shuffled the maximum deltas among 1,607,350 variants 10,000 times and counted the number of circadian genes with a splice altering variant each iteration.…”
Section: Methodsmentioning
confidence: 99%
“…We used a set of archaic variants annotated with the splice altering probabilities to identify circadian genes that may be differentially spliced between archaic hominins and AMH (Brand, Colbran, and Capra 2022). We considered variants from four archaic individuals: the Altai, Chagyrskaya, and Vindija Neanderthals and the Altai Denisovan.…”
Section: Genes Containing Archaic Variants With Evidence Of Alternati...mentioning
confidence: 99%
“…In the future, multi-omic studies that jointly interrogate chromatin modifications, transcript abundance, splicing and protein abundance will help to uncover the mechanisms that underlie differential expression and the resulting phenotypic differences. Coupled with advances in artificial intelligence, functional genomics datasets will enable refinement and testing of predictions of the influence of individual mutations, or many combinations from a set of mutations, across levels of gene regulation [132][133][134] .…”
Section: Functional Genomic Comparisons Reveal Patterns Of Gene Expre...mentioning
confidence: 99%