bioRxivEvolutionary Biology
Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat
Abstract
The naked mole-rats (Heterocephalus glaber, NMRs) and the blind mole-rats (Spalax galili, BMRs) are representative subterranean rodents that evolved many extraordinary traits, including hypoxia tolerance, longevity and cancer resistance. Although a batch of candidate loci responsible for these intriguing traits have been uncovered by genomic studies, many of them are limited to functional modifications of intact genes and little is known about the contributions of other genetic makeups. Here, to address this issue, we focused on gene losses (unitary pseudogenes) and systematically analyzed gene losses in NMRs and BMRs, as well as their respective terrestrial relatives, guinea pigs and rats, in a genome-wide scale. 167, 139, 341 and 112 pseudogenes were identified in NMRs, BMRs, guinea pigs and rats, respectively. Functional enrichment analysis identified 4 shared and 2 species-specific enriched functional groups (EFGs) in subterranean lineages. The pseudogenes in these EFGs might be associated with either regressive (e.g. visual system) or adaptive (e.g. altered DNA damage response) traits. In addition, several pseudogenes including TNNI3K and PDE5A, might be associated with their specific cardiac features observed in subterranean linages. Furthermore, we observed 20 convergent gene losses in NMRs and BMRs. Given that the functional investigations of these genes are generally scarce, we provided functional evidence that independent loss of TRIM17 in NMRs and BMRs might be beneficial for neuronal survival under hypoxia, supporting the positive role of eliminating TRIM17 function in hypoxia adaptation. We also demonstrated that pseudogenes, together with positively selected genes, reinforced subterranean adaptations cooperatively. Overall, our study provides new insights into the molecular underpinnings of subterranean adaptations and highlights the importance of gene losses in mammalian evolution.
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- approach: statistical model
- approach: comparative / phylogenetic analysis
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