贝叶斯式和启发式方法的协同作用:D-BPP揭示了Panthera和Thuja中的幽灵入侵
Yang Yang1,2, Xiao-Xu Pang3, Ya-Mei Ding4
1National Facility Preservation Bank for Forestry and Grassland Germplasm Resources (Xiong'an), College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Systematic biology
|February 5, 2026
概括
检测与已灭绝的血统的杂交是具有挑战性的. 我们的D-BPP框架结合了D-统计和贝叶斯推理,以准确识别幽灵入侵事件,揭示了大猫和针叶树的复杂进化历史.
科学领域:
- 进化生物学 进化生物学
- 基因组学就是基因组学.
- 人类遗传学 是一个学科.
背景情况:
- 与已灭绝或未采样的血统进行杂交,会对物种进化产生重大影响.
- 对于目前的方法来说,检测这种"幽灵"的内入行为在方法上是很困难的.
研究的目的:
- 引入D-BPP,通过整合D-统计学和贝叶斯的家族基因推理推断来推断家族基因网络的新框架.
- 为了高效准确地检测入侵事件,包括那些涉及幽灵血统的事件.
主要方法:
- D-BPP框架首先使用D统计 (ABBA-BABA测试) 来识别候选内进事件.
- 然后使用贝叶斯系基因推理 (BPP) 来验证候选人并建立系基因网络.
- 该方法通过比较贝叶斯框架内的内向模型来处理模两可的物种树.
主要成果:
- 模拟分析表明D-BPP具有很高的功率,可靠地检测入侵并准确地区分场景.
- 该框架成功地识别了幽灵侵入,现有方法经常错过.
- 对大猫 (Panthera) 和针叶树 (Thuja) 基因组数据的应用揭示了以前未被检测到的幽灵侵入事件.
结论:
- D-BPP提供了一种实用而强大的方法来重建复杂的,复杂的进化历史.
- 该框架将计算效率与强大的统计学严谨性相结合.
- 幽灵侵入在不同的种类中起着普遍的作用,这可以从Panthera和Thuja的发现中得到证实.
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