2012/06/01 by Swagatam Mukhopadhyay, Mukhopadhyay, Swagatam, Pascal Grange +6
Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · #Bioinformatics and Genomic Networks #Evolution and Paleontology Studies #FOS: Biological sciences #Gene expression and cancer classification #Genetic diversity and population structure #Genomics (q-bio.GN) #Genomics and Phylogenetic Studies #Neurons and Cognition (q-bio.NC) #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM) #Single-cell and spatial transcriptomics #q-bio.GN #q-bio.NC #q-bio.PE #q-bio.QM
paper · pdf · doi:10.48550/arxiv.1206.0324
14 pages
arxiv created 2012/06/01 · openalex publication_date 2012/06/01 · arxiv updated 2012/06/05 · openalex created_date 2022/09/30 · openalex updated_date 2026/07/28
We use the Allen Gene Expression Atlas (AGEA) and the OMA ortholog dataset to investigate the evolution of mouse-brain neuroanatomy from the standpoint of the molecular evolution of brain-specific genes. For each such gene, using the phylogenetic tree for all fully sequenced species and the presence of orthologs of the gene in these species, we construct and assign a discrete measure of evolutionary age. The gene expression profile of all gene of similar age, relative to the average gene expression profile, distinguish regions of the brain that are over-represented in the corresponding evolutionary timescale. We argue that the conclusions one can draw on evolution of twelve major brain regions from such a molecular level analysis supplements existing knowledge of mouse brain evolution and introduces new quantitative tools, especially for comparative studies, when AGEA-like data sets for other species become available. Using the functional role of the genes representational of a certain evolutionary timescale and brain region we compare and contrast, wherever possible, our observations with existing knowledge in evolutionary neuroanatomy.