Ontology highlight
ABSTRACT:
PROVIDER: PRJNA972699 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24564282_1.fastq.gz | Fastqsanger.gz | |||
| SRR24564282_2.fastq.gz | Fastqsanger.gz | |||
| SRR24564283_1.fastq.gz | Fastqsanger.gz | |||
| SRR24564283_2.fastq.gz | Fastqsanger.gz | |||
| SRR24564284_1.fastq.gz | Fastqsanger.gz |
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Project description:Breeding day-neutral strawberry (Fragaria x ananassa Duchesne) is pivotal to extend fruit-bearing season and increase the efficiency of production. However, genetic improvement of day-neutrality by the means of molecular marker technologies remains slow due to genome complexity of octoploid strawberry. This study employs an innovative approach by integrating the Subtracted Diversity Array (SDA) technology and Bulked Segregant Analysis (BSA) to facilitate the identification of molecular markers associated with day-neutrality in octoploid strawberry. A Fragaria Discovery Panel (FDP) containing 287 features specific to strawberry genome was constructed as a platform for rapid screening of DNA polymorphism between one short day (SD) strawberry DNA bulk and three day-neutral (DN) bulks varrying in flowering strength. Differential array hybridisation patterns between the DN and SD bulks revealed a novel molecular marker, FaP2E11, closely linked to CYTOKININ OXIDASE 1 (CKX1) gene possibly involved in promoting flowering under non-inductive condition. Interestingly, a 12 bp deletion was observed within the FaP2E11 sequence cloned from SD genotypes but not DN genotypes. As cytokinin is required to induce flowering, this result indicates that full sequence of FaP2E11 and the sequence with deletion are allelic variants linked to the low enzyme activity CKX1 and the wild type alleles, respectively.
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Project description:Common wheat (T. aestivum) converged three subgenomes adapted to different environments. The combinatorial interaction between transcription factors (TFs) and regulatory elements (REs) defines a regulatory circuit that underlies subgenome convergence and divergence. Compared to the relatively conserved gene composition across subgenomes, the intergenic regions with abundant REs is drastically diversified by almost complete TE turnovers, raising major questions regarding how subgenome convergent and divergent regulation is encoded in the highly diversified intergenic regions, and the impact of TE evolution on regulatory conservation and innovation. In the present study, we created genome-wide TF binding catalog to assemble an extensive wheat regulatory network comprising connections among 182 TFs. The different effects of ancient and recent TE insertions on regulatory specificity were observed. Subgenome asymmetric TE expansion is an important source of subgenome divergent TFBS, which help explain the vast occupancy difference across subgenomes. Interestingly, the ancient expansion of RLC_famc1.4-derived TFBS occurred in more than 25% triads promoters. A significant fraction of these TE-derived TFBS subjected to region-specific evolutionary selections, resulting in subgenome-balanced TF binding but unbalanced degeneration of flanking TE sequences. These TE-derived subgenome convergent and divergent regulation linked to subgenome conserved and diversified pathways, suggesting that TEs are an important regulatory driving force contributed to polyploid evolution. Overall, this study demonstrated the impact of TEs on shaping the plasticity and adaptation of common wheat, enriched the theories of TE-promoted transcriptional innovation from the evolutionary aspects of polyploid regulation since first reported by McClintock.
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Project description:Polyploidization drives regulatory and phenotypic innovation. How the merger of different genomes contributes to polyploid development is a fundamental issue in evolutionary developmental biology and breeding research. Clarifying this issue is challenging because of genome complexity and the difficulty in tracking stochastic subgenome divergence during development. Recent single-cell sequencing techniques enabled probing subgenome divergent regulation in the context of cellular differentiation. However, analyzing single-cell data suffers from high error rates due to high-dimensionality, noise, and sparsity, and the errors stack up in polyploid analysis due to the increased dimensionality of comparisons between subgenomes of each cell, hindering deeper mechanistic understandings. Here, we developed a quantitative computational framework, pseudo-genome divergence quantification (pgDQ), for quantifying and tracking subgenome divergence directly at the cellular level. Further comparing with cellular differentiation trajectories derived from scRNA-seq data allowed for an examination of the relationship between subgenome divergence and the progression of development. pgDQ produces robust results and is insensitive to data dropout and noise, avoiding high error rates due to multiple comparisons of genes, cells, and subgenomes. A statistical diagonostic approach is proposed to identify genes that are central to subgenome divergence during development, which facilitates the integration of different data modalities, enabling the identification of factors and pathways that mediate subgenome-divergent activity during development. Case studies demonstrated that applying pgDQ to single cell and bulk tissue transcriptome data promotes a systematic and deeper understanding of how dynamic subgenome divergence contributes to developmental trajectories in polyploid evolution.
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