隐秘的变异燃料植物通过等级的表观变化通过等级的表观
bioRxiv : the preprint server for biology
|March 10, 2025
概括
基因调节网络内的对应物中的神秘突变可以通过复杂的相互作用推动快速的特征进化. 这项研究揭示了番茄花朵结构中这些隐藏的遗传变异如何导致协同作用和对抗作用,塑造表型多样性.
科学领域:
- 遗传学 遗传学 是一个
- 进化生物学 进化生物学
- 植物生物学 植物生物学
背景情况:
- 隐秘的遗传变异被假设是通过表现症的特征进化能力的储存库.
- 全基因组测序揭示了基因家族和调控网络的广泛变异,包括对应物.
- 隐秘变异的经验测试一直受到遗传复杂性和表型分辨率的限制.
研究的目的:
- 为了研究隐秘变异在对等基因对控制表型复杂性的作用.
- 建立一个基因调节网络,使用自然和人工变体控制番茄花朵结构.
- 系统地分析整个花复杂度的谱系中的基因型-表型关系.
主要方法:
- 识别冗余的跨调节剂,形成一个与类似的cis调节变体组成的网络.
- 构建了216个基因型,结合了编码突变和cis-regulatory等位基因序列.
- 量化花朵的分支在超过27000个花朵,以建立一个高分辨率的地图.
主要成果:
- 发现了对照对内的剂量依赖的协同相互作用,增强了分支.
- 发现了对类对之间的对抗性相互作用,其中一个对的突变减少了另一个对的效应.
- 展示了基因调控网络架构和对应物多样化如何通过等级表观学来塑造表型空间.
结论:
- 监管网络内的相似的隐秘变化可以通过层次的表观变化驱动表型变化.
- 基因调节网络架构和复杂的剂量效应来自对应物多样化是塑造表型空间的关键.
- 该模型提供了关于隐藏的遗传变异如何催化表型进化的突发现象的见解,特别是考虑到类似进化的普遍性.
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