QInfoMating:性选择和分类交配估计软件。

IF 2.3 Q2 ECOLOGY
A Carvajal-Rodríguez
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引用次数: 0

摘要

背景:性选择理论是进化研究的一个多方面的领域,它对包括种群遗传学、进化生态学、动物行为学、社会学和心理学在内的各个学科都有深远的影响。它探讨了某些特征和行为在物种内由于配偶选择和竞争而进化的机制。在这一理论的背景下,Jeffreys散度度量,也称为种群稳定指数,在对离散和连续数据发生偏离随机交配时获得的信息进行量化方面起着关键作用。尽管在性选择的背景下理解交配模式至关重要,但目前还没有可用的软件可以用定量的交配数据进行模型选择和多模型推断,以检验关于观察到的交配模式背后的动态假设。认识到这一差距,我开发了QInfoMating,它在性选择理论的框架内为分析和解释交配数据提供了一个全面的解决方案。结果:QInfoMating程序集成了一个用户友好的界面,用于执行统计测试,最佳拟合模型选择,并使用多模型推断对离散和连续配对数据进行参数估计。以马六甲棘藻为例,给出了该物种的实际数据。结论:信息论的应用、模型选择和多模型推理的参数估计是分析配对数据的有力工具,无论是定量的还是分类的。QInfoMating程序是设计用来执行这种类型分析的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QInfoMating: sexual selection and assortative mating estimation software.

Background: Sexual selection theory is a multifaceted area of evolutionary research that has profound implications across various disciplines, including population genetics, evolutionary ecology, animal behavior, sociology, and psychology. It explores the mechanisms by which certain traits and behaviors evolve due to mate choice and competition within a species. In the context of this theory, the Jeffreys divergence measure, also known as population stability index, plays a key role in quantifying the information obtained when a deviation from random mating occurs for both discrete and continuous data. Despite the critical importance of understanding mating patterns in the context of sexual selection, there is currently no software available that can perform model selection and multimodel inference with quantitative mating data to test hypotheses about the dynamics underlying observed mating patterns. Recognizing this gap, I have developed QInfoMating which provides a comprehensive solution for analyzing and interpreting mating data within the framework of sexual selection theory.

Results: The program QInfoMating incorporates a user-friendly interface for performing statistical tests, best-fit model selection, and parameter estimation using multimodel inference for both discrete and continuous mating data. A use case is presented with real data of the species Echinolittorina malaccana.

Conclusions: The application of information theory, model selection, and parameter estimation using multimodel inference are presented as powerful tools for the analysis of mating data, whether quantitative or categorical. The QInfoMating program is a tool designed to perform this type of analysis.

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