bioRxivEvolutionary BiologyPreprint
Adaptation of the Spalax galili transcriptome to life under hypoxia may hold a key to a complex phenotype including longevity and cancer resistance
G. Poetzsch, L. Jelacic, A. Bicker, M. Balling, L. Hellmann, L. Dammer, M. Andrade, I. Shams, A. Avivi, T. Hankeln
Abstract
The muroid rodent Nannospalax galili (syn. Spalax) is adapted to life in underground burrows and tolerates acute exposure to severe hypoxia. Adaptation to hypoxia is correlated with delayed onset of ageing and resistance against tumour formation. Spalax becomes five to seven times older than its relatives, the mouse and rat, without displaying signs of ageing or developing ageing-related disorders like cancer. Investigating and understanding adapted genes and gene regulatory networks of Spalax might pinpoint novel strategies to maintain an extended healthy phenotype in humans. Here we analysed and compared RNA-Seq data of liver, kidney and spleen of Spalax and rat subjected to 6% O2 or normoxia. We identified differentially expressed genes and pathways common to multiple organs in Spalax and rat. Body-wide differences between Spalax and rat affected biological processes like cell death, defence against reactive oxygen species (ROS), DNA repair, energy metabolism, immune response and angiogenesis, which altogether might play a crucial role in Spalaxs adaptation to life under oxygen deprivation. In all organs, mRNA expression of genes associated with genome stability maintenance and DNA repair was elevated in Spalax compared to rat, accompanied by a lower gene expression of genes associated with aerobic energy metabolism and proinflammatory processes. These transcriptomic changes might be accountable for the extraordinary lifespan of Spalax and its cancer resistance. Our results reveal gene regulatory networks that become candidates for the investigation of the molecular bases that underlie the complex phenotype of Spalax.
- organism: mouse
- organism: rat
- organism: zebrafish
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: diffusion model
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