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Qian, S. H.

Publications and source records attributed to Qian, S. H..

2 recordsLinked to original sources

Dynamic Spatial-Temporal Expression Ratio of X Chromosome to Autosomes but Stable Dosage Compensation in Mammals

In the evolutionary model of dosage compensation, per-allele expression level of the X chromosome was proposed to have two-fold upregulation, compensating for its dose reduction in males (XY) compared to females (XX). However, the upregulation of X chromosome is still in dispute, and comprehensive evaluations are still lacking. By integrating multi-omics datasets in mammals, we investigated the expression ratios and underlying pattern of X to autosomes (X:AA ratio) and X to orthologs (X:XX ratio) at the transcriptome, translatome, and proteome layers. The results indicated a dynamic spatial-temporal X:AA ratio during development in human and mouse. Meanwhile, by tracing the evolution of orthologous gene expressions in chicken, platypus, and opossum, we found a constant expression ratio between X-linked genes in human and their autosomal orthologs in other species (X:XX ~1) across tissues and developmental stages, demonstrating stable dosage compensation in mammals. We also revealed that different epigenetic regulations could shape the higher tissue- and stage-specificity of X-linked gene expression, and affect X:AA ratios. We conclude that the dynamics of X:AA ratios are attributed to the different gene contents and expression preferences of the X chromosome, instead of the stable dosage compensation.

evolutionary biology

GenOrigin: A Comprehensive Protein-coding Gene Origination Database on the Evolutionary Timescale of Life

The origination of new genes contributes to the biological diversity of life. New genes may quickly build their own network in the genomes, exert important functions, and generate novel phenotypes. Dating gene age and inferring the origination mechanisms of new genes, like primate-specific gene, is the basis for the functional study of the genes. However, no comprehensive resource of gene age estimates across species is available. Here, we systematically dated the age of 9,102,113 protein-coding genes from 565 species in the Ensembl and Ensembl Genomes databases, including 82 bacteria, 57 protists, 134 fungi, 58 plants, 56 metazoa, and 178 vertebrates, using protein-family-based pipeline with Wagner parsimony algorithm. We also collected gene age estimate data from other studies and uniformed the gene age estimates to time ranges in million years for comparison across studies. All the data were cataloged into GenOrigin (http://genorigin.chenzxlab.cn/), a userfriendly new database of gene age estimates, where users can browse gene age estimates by species, age and gene ontology. In GenOrigin, the information such as gene age estimates, annotation, gene ontology, ortholog and paralog, as well as detailed gene presence/absence views for gene age inference based on the species tree with evolutionary timescale, was provided to researchers for exploring gene functions.

evolutionary biology