bioRxivPlant BiologyPreprint
Canalized gene regulatory networks stabilize floral polymorphism and enable modular transgressive expression
Santosh Kumar RanaiD, Hum Kala RanaiD, Jacob B. LandisiD, Jun‐Tong CheniD, Tao DengiD, Han SuniD
Abstract
O_LIFloral polymorphisms frequently persist across heterogeneous environments despite ongoing gene flow, yet the regulatory mechanisms maintaining discrete phenotypes remain unclear. We tested whether alternative flower-colour morphs in Stellera chamaejasme L. are maintained by canalized gene regulatory architectures that stabilize expression around morph-specific optima. C_LIO_LIWe used a pan-transcriptomic and eco-evolutionary framework integrating genome-wide gene expression profiling, co-expression network analysis, functional enrichment, ortholog-based phylogenomics, and variance-based modeling of regulatory canalization and transgressive expression to quantify regulatory variation across morphs. C_LIO_LITranscriptomic variation was structured primarily by morph identity rather than geography, indicating consistent morph-associated regulatory programs. Parental morphs showed reduced within-morph variance in gene co-expression modules, consistent with strong regulatory constraint at the network level. In contrast, a naturally occurring mosaic morph exhibited extensive non-additive and predominantly transgressive expression, with most genes falling outside the parental range. This transgressive signal was modular, with most networks remaining stable while a subset showed elevated variance and disrupted inheritance. Functional analyses further reveal that floral pigmentation is embedded within broader metabolic and stress-response pathways, linking color polymorphism to coordinated physiological states and ecological differentiation. C_LI
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: variational autoencoder
- Citations
- 0
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