Ellis Thomas James, Field David Luke, Barton Nicholas H
Institute of Science and Technology Austria, Klosterneuburg, Austria.
Gregor Mendel Institute, Austrian Academy of Sciences Vienna BioCenter, Vienna, Austria.
Mol Ecol. 2025 Sep;34(18):e70051. doi: 10.1111/mec.70051. Epub 2025 Aug 2.
Inferring genealogical relationships of wild populations is useful because it gives direct estimates of mating patterns and variance in reproductive success. Inference can be improved by including information about parentage shared between siblings, or by modelling phenotypes or population data related to mating. However, we currently lack a framework to infer parent-offspring relationships, sibships and population parameters in a single analysis. To address this, we here extend a previous method, Fractional Analysis of Paternity and Sibships, to include population data for the case where one parent is known. We illustrate this with the example of pollen dispersal in a natural hybrid zone population of the snapdragon Antirrhinum majus. Pollen dispersal is leptokurtic, with half of mating events occurring within 30 m, but with a long tail of mating events up to 859 m. Using simulations, we find that both sibship and population information substantially improve pedigree reconstruction, and that we can expect to resolve median dispersal distances with high accuracy.
推断野生种群的谱系关系很有用，因为它能直接估计交配模式和繁殖成功率的方差。通过纳入有关兄弟姐妹之间共享的亲子关系信息，或者通过对与交配相关的表型或种群数据进行建模，可以改进推断。然而，我们目前缺乏一个在单一分析中推断亲子关系、同胞关系和种群参数的框架。为了解决这个问题，我们在此扩展了先前的一种方法——亲子关系和同胞关系的分数分析，以纳入已知一方亲本的情况下的种群数据。我们以金鱼草（Antirrhinum majus）自然杂交区种群中的花粉传播为例进行说明。花粉传播呈尖峰态，一半的交配事件发生在30米范围内，但也有交配事件的长尾延伸至859米。通过模拟，我们发现同胞关系和种群信息都能显著改善谱系重建，并且我们有望高精度地解析中位传播距离。
