Rapid evolutionary dynamics of an expanding family of Drosophila meiotic drive factors and their hpRNA suppressors
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA768815 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16213300_1.fastq.gz | Fastqsanger.gz | |||
| SRR16213300_2.fastq.gz | Fastqsanger.gz | |||
| SRR16213301_1.fastq.gz | Fastqsanger.gz | |||
| SRR16213301_2.fastq.gz | Fastqsanger.gz | |||
| SRR16213302_1.fastq.gz | Fastqsanger.gz |
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Project description:The Dox meiotic drive system distorts the sex-ratio in Drosophila simulans. Here, the authors reconstruct the step-wise emergence, and recent amplification of Dox superfamily genes in parallel with the emergence of autosomal hairpin RNA-class siRNA loci that target subsets of these putative drivers
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Project description:Meiotic drivers are a class of selfish genetic elements whose existence is frequently hidden due to concomitant suppressor systems. Accordingly, we know little of their evolutionary breadth and molecular mechanisms. Here, we trace the evolution of the Dox meiotic drive system in Drosophila simulans, which affects male-female balance (sex ratio). Dox emerged via stepwise mobilization and acquisition of multiple D. melanogaster gene segments including from protamine, which mediates compaction of sperm chromatin. Moreover, we reveal novel Dox homologs and massive amplification of Dox superfamily genes on X chromosomes of its closest sisters D. mauritiana and D. sechellia. Emergence of Dox loci is tightly associated with 359-class satellite repeats that flank de novo genomic copies. In concert, we find coordinated diversification of autosomal hairpin RNA-class siRNA loci that target subsets of Dox superfamily genes. Overall, we reveal fierce genetic arms races between meiotic drive factors and siRNA suppressors associated with recent speciation.
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Project description:Meiotic recombination is required for the segregation of homologous chromosomes and is essential for fertility. The DNA double strand breaks (DSBs) that initiate meiotic recombination are directed by sequence-specific DNA binding of the PRDM9 protein. Gradual elimination of PRDM9 binding sites by gene conversion is thought to result in the hotspot erosion while mutations affecting DNA binding specificity of PRDM9 will create the new sets of hotspots. To better understand evolutionary turnover of recombination hotspots we mapped DSB hotspots in six inbred mouse strains representing all four major subspecies of Mus musculus and in their F1 hybrids. We found that hotspot erosion governs the preferential usage of some Prdm9 alleles over others in hybrid mice and increases sequence diversity specifically at hotspots that become active in the hybrids. As crossovers are disfavored at such hotspots, we propose that sequence divergence generated by hotspot turnover creates impediments for recombination in hybrids, potentially leading to reduction in fertility and eventually, speciation.
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Project description:Ray2013 - Meiotic initiation in S. cerevisiae
A mathematical representation of early meiotic events, particularly feedback mechanisms at the system level and phosphorylation of signalling molecules for regulating protein activities, is described here
This model is described in the article:
Dynamic modeling of yeast meiotic initiation.
Ray D, Su Y, Ye P.
BMC Syst Biol. 2013 May 1;7:37
Abstract:
BACKGROUND:
Meiosis is the sexual reproduction process common to eukaryotes. The diploid yeast Saccharomyces cerevisiae undergoes meiosis in sporulation medium to form four haploid spores. Initiation of the process is tightly controlled by intricate networks of positive and negative feedback loops. Intriguingly, expression of early meiotic proteins occurs within a narrow time window. Further, sporulation efficiency is strikingly different for yeast strains with distinct mutations or genetic backgrounds. To investigate signal transduction pathways that regulate transient protein expression and sporulation efficiency, we develop a mathematical model using ordinary differential equations. The model describes early meiotic events, particularly feedback mechanisms at the system level and phosphorylation of signaling molecules for regulating protein activities.
RESULTS:
The mathematical model is capable of simulating the orderly and transient dynamics of meiotic proteins including Ime1, the master regulator of meiotic initiation, and Ime2, a kinase encoded by an early gene. The model is validated by quantitative sporulation phenotypes of single-gene knockouts. Thus, we can use the model to make novel predictions on the cooperation between proteins in the signaling pathway. Virtual perturbations on feedback loops suggest that both positive and negative feedback loops are required to terminate expression of early meiotic proteins. Bifurcation analyses on feedback loops indicate that multiple feedback loops are coordinated to modulate sporulation efficiency. In particular, positive auto-regulation of Ime2 produces a bistable system with a normal meiotic state and a more efficient meiotic state.
CONCLUSIONS:
By systematically scanning through feedback loops in the mathematical model, we demonstrate that, in yeast, the decisions to terminate protein expression and to sporulate at different efficiencies stem from feedback signals toward the master regulator Ime1 and the early meiotic protein Ime2. We argue that the architecture of meiotic initiation pathway generates a robust mechanism that assures a rapid and complete transition into meiosis. This type of systems-level regulation is a commonly used mechanism controlling developmental programs in yeast and other organisms. Our mathematical model uncovers key regulations that can be manipulated to enhance sporulation efficiency, an important first step in the development of new strategies for producing gametes with high quality and quantity.
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