PLoS GeneticsGeneticsPeer-reviewed journal article
Meiotic Sex Chromosome Inactivation: conservation across the Drosophila genus
Camila C. AvelinoiD, Carolina A. MendonçaiD, Gabriel Nassar Reich GoldsteiniD, Henry BonillaiD, Antonio Bernardo CarvalhoiD, Maria D. VibranovskiiD
Abstract
The inherent difference between sex chromosomes in males and females drives conflicts in gene expression, leading to adaptations such as Meiotic Sex Chromosome Inactivation (MSCI). In this study, we explore the evolutionary dynamics of MSCI within the Drosophila genus by analyzing transcriptomes across different stages of spermatogenesis in D. melanogaster and its progressively more distant relatives, D. simulans, D. willistoni, and D. mojavensis. Stage-specific bulk RNA sequencing, showing a strong correlation in spermatogenic gene expression patterns among these species, revealed that MSCI dates back to the early evolution of the Drosophila genus, impacting the regulation of both coding and long non-coding RNAs. Notably, for newly evolved genes, X-linked genes show higher expression levels than autosomal genes during mitosis and meiosis, indicating that MSCI predominantly regulates older genes. In contrast, newly evolved autosomal genes exhibit a gradual increase in expression throughout spermatogenesis, reaching their peak in the post-meiotic phase. During this phase, the expression of X-linked new genes decreases, eventually aligning with that of autosomal genes. This expression pattern suggests that haploid selection plays a crucial role in the regulation of new genes, with monoallelic expression of the X chromosome providing an advantage across all stages of germline development, while autosomal gene expression gains a selective edge primarily in the post-meiotic phase. Together, these findings provide new insights into the evolution of sex chromosomes and highlight the critical role of MSCI in shaping gene expression profiles in Drosophila.
- organism: Drosophila
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: clustering
- approach: statistical model
- Citations
- 3
- FWCI
- 1.75
- Field percentile
- top 15%
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