A Novel Approach to Comparative RNA-Seq Does Not Support a Conserved Set of Orthologs Underlying Animal Regeneration.
Noémie C SierraNoah OlsmanLynn YiLior PachterLea GoentoroDavid A GoldPublished in: Genome biology and evolution (2024)
Molecular studies of animal regeneration typically focus on conserved genes and signaling pathways that underlie morphogenesis. To date, a holistic analysis of gene expression across animals has not been attempted, as it presents a suite of problems related to differences in experimental design and gene homology. By combining orthology analyses with a novel statistical method for testing gene enrichment across large data sets, we are able to test whether tissue regeneration across animals shares transcriptional regulation. We applied this method to a meta-analysis of six publicly available RNA-Seq data sets from diverse examples of animal regeneration. We recovered 160 conserved orthologous gene clusters, which are enriched in structural genes as opposed to those regulating morphogenesis. A breakdown of gene presence/absence provides limited support for the conservation of pathways typically implicated in regeneration, such as Wnt signaling and cell pluripotency pathways. Such pathways are only conserved if we permit large amounts of paralog switching through evolution. Overall, our analysis does not support the hypothesis that a shared set of ancestral genes underlie regeneration mechanisms in animals. After applying the same method to heat shock studies and getting similar results, we raise broader questions about the ability of comparative RNA-Seq to reveal conserved gene pathways across deep evolutionary relationships.
Keyphrases
- rna seq
- single cell
- genome wide
- genome wide identification
- stem cells
- transcription factor
- dna methylation
- copy number
- gene expression
- genome wide analysis
- heat shock
- wound healing
- signaling pathway
- big data
- oxidative stress
- cell therapy
- machine learning
- epithelial mesenchymal transition
- cell proliferation
- induced apoptosis
- heat stress
- drug induced
- data analysis