青族系:基于数百个位点和5,242个物种的时间校准,物种层面的树
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
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Daniel M Portik1, Jeffrey W Streicher2, John J Wiens3
1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721 USA; California Academy of Sciences, San Francisco, CA 94118, USA.
Molecular phylogenetics and evolution
|August 26, 2023
概括
这项研究通过结合超矩阵和族系学数据来解决青 (anuran) 的进化关系,创造了迄今为止最大的anuran族系. 这棵新树与遗传学估计相一致,改善了进化和生态研究.
科学领域:
- 进化生物学 进化生物学
- 系统学 系统学 系统学
- 两动物研究研究
背景情况:
- 超级矩阵类基因对于进化和生态研究至关重要.
- 现有的青 (anuran) 基因组与基因组数据相比,具有有限的位置和不一致的更高层次关系.
- 解决anuran更高层次的关系对于理解两动物进化至关重要.
研究的目的:
- 通过创建一个扩展的超级矩阵,结合类基因组数据来纠正anuran基因的差异.
- 开发一个新的程序 (TaxonomyAlign) 来改善核糖体序列对齐.
- 为了生成一个改进的,时间校准估计的anuran发育.
主要方法:
- 创建了一个扩展的超级矩阵的anurans,结合了从家族遗传学研究的数据.
- 开发了TaxonomyAlign软件,以帮助以分类学为指导的核糖体序列对齐.
- 构建了5242个anuran物种和307个标记物的组合矩阵,其中95%的数据缺失,并进行了最大概率分析.
主要成果:
- 基于5242个物种和307个标志物的新anuran族系,显示了更高层次的关系和分类年龄,与族系学估计一致.
- 与之前的超级矩阵分析相比,扩展的数据集代表了采样物种的71%增加.
- 缺少大量数据 (95%) 似乎不会在分析中造成重大问题.
- 为进行比较分析生成了100个时间校准树.
结论:
- 这项研究提供了迄今为止最全面的anuran系谱,整合了超矩阵和系谱数据.
- 这些发现解决了长期存在的不一致性,在某个更高层次的关系中.
- 该方法证明了在其他生物群体中结合超矩阵和基因组分析的潜力.
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