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The landscape of sex-differential transcriptome and its consequent selection in human adults

Authors :
Moran Gershoni
Shmuel Pietrokovski
Source :
BMC Biology
Publication Year :
2017
Publisher :
BioMed Central, 2017.

Abstract

Background The prevalence of several human morbid phenotypes is sometimes much higher than intuitively expected. This can directly arise from the presence of two sexes, male and female, in one species. Men and women have almost identical genomes but are distinctly dimorphic, with dissimilar disease susceptibilities. Sexually dimorphic traits mainly result from differential expression of genes present in both sexes. Such genes can be subject to different, and even opposing, selection constraints in the two sexes. This can impact human evolution by differential selection on mutations with dissimilar effects on the two sexes. Results We comprehensively mapped human sex-differential genetic architecture across 53 tissues. Analyzing available RNA-sequencing data from 544 adults revealed thousands of genes differentially expressed in the reproductive tracts and tissues common to both sexes. Sex-differential genes are related to various biological systems, and suggest new insights into the pathophysiology of diverse human diseases. We also identified a significant association between sex-specific gene transcription and reduced selection efficiency and accumulation of deleterious mutations, which might affect the prevalence of different traits and diseases. Interestingly, many of the sex-specific genes that also undergo reduced selection efficiency are essential for successful reproduction in men or women. This seeming paradox might partially explain the high incidence of human infertility. Conclusions This work provides a comprehensive overview of the sex-differential transcriptome and its importance to human evolution and human physiology in health and in disease. Electronic supplementary material The online version of this article (doi:10.1186/s12915-017-0352-z) contains supplementary material, which is available to authorized users.

Details

Language :
English
ISSN :
17417007
Volume :
15
Database :
OpenAIRE
Journal :
BMC Biology
Accession number :
edsair.doi.dedup.....5cf8a889b0b820032e6063c01805a73e