生物
表观遗传学
基因调控网络
基因表达调控
遗传学
基因
基因表达
进化生物学
表达数量性状基因座
遗传建筑学
染色质
增强子
表观遗传学
数量性状位点
DNA甲基化
单核苷酸多态性
基因型
作者
Michael Hogan,Matthew L. Holding,Gunnar S. Nystrom,Timothy J. Colston,Daniel A. Bartlett,Andrew J. Mason,Schyler A. Ellsworth,Rhett M. Rautsaw,Kylie C. Lawrence,Jason L. Strickland,Bing He,Peter Fraser,Mark J. Margres,David M. Gilbert,H. Lisle Gibbs,Christopher L. Parkinson,Darin R. Rokyta
标识
DOI:10.1073/pnas.2313440121
摘要
Developmental phenotypic changes can evolve under selection imposed by age- and size-related ecological differences. Many of these changes occur through programmed alterations to gene expression patterns, but the molecular mechanisms and gene-regulatory networks underlying these adaptive changes remain poorly understood. Many venomous snakes, including the eastern diamondback rattlesnake ( Crotalus adamanteus ), undergo correlated changes in diet and venom expression as snakes grow larger with age, providing models for identifying mechanisms of timed expression changes that underlie adaptive life history traits. By combining a highly contiguous, chromosome-level genome assembly with measures of expression, chromatin accessibility, and histone modifications, we identified cis-regulatory elements and trans-regulatory factors controlling venom ontogeny in the venom glands of C. adamanteus . Ontogenetic expression changes were significantly correlated with epigenomic changes within genes, immediately adjacent to genes (e.g., promoters), and more distant from genes (e.g., enhancers). We identified 37 candidate transcription factors (TFs), with the vast majority being up-regulated in adults. The ontogenetic change is largely driven by an increase in the expression of TFs associated with growth signaling, transcriptional activation, and circadian rhythm/biological timing systems in adults with corresponding epigenomic changes near the differentially expressed venom genes. However, both expression activation and repression contributed to the composition of both adult and juvenile venoms, demonstrating the complexity and potential evolvability of gene regulation for this trait. Overall, given that age-based trait variation is common across the tree of life, we provide a framework for understanding gene-regulatory-network-driven life-history evolution more broadly.
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