Published February 17, 2021 | Version v1
Journal article Open

Divergence in alternative polyadenylation contributes to gene regulatory differences between humans and chimpanzees

Description

While comparative functional genomic studies have shown that inter-species differences in gene expression can be explained by corresponding inter-species differences in genetic and epigenetic regulatory mechanisms, co-transcriptional mechanisms, such as alternative polyadenylation (APA), have received little attention. We characterized APA in lymphoblastoid cell lines from six humans and six chimpanzees by identifying and estimating usage for 44,432 polyadenylation sites (PAS) in 9,518 genes. Although APA is largely conserved, 1,705 genes showed significantly different PAS usage (FDR 0.05) between species. Genes with divergent APA also tend to be differentially expressed, are enriched among genes showing differences in protein translation, and can explain a subset of observed inter-species protein expression differences that do not differ at the transcript level. Finally, we found that genes with a dominant PAS, which is used more often than other PAS, are particularly enriched for differentially expressed genes.

Data availability

Sequencing data available on GEO under accession GSE155245.

The following data sets were generated:

Mittleman BEPott SWarland SBarr KCuevas CGilad Y (2021) NCBI Gene Expression Omnibus ID GSE155245. Divergence in alternative polyadenylation contributes to gene regulatory differences between humans and chimpanzees. http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE155245

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Additional details

Identifiers

DOI
10.7554/eLife.62548
Other
oai:uchicago.tind.io:10026

Funding

National Institutes of Health
T32GM09197
National Institutes of Health
F31HL149259
National Institutes of Health
R01HG010772
National Institutes of Health
R35GM13172
National Center for Advancing Translational Sciences
K12HL119995

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Genetics, Genomics, and Systems Biology, Human Genetics, Medicine