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Spatial analysis of genetic diversity as a tool for plant conservation [Review]

机译:遗传多样性的空间分析作为植物保护的工具[综述]

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摘要

Development of suitable approaches to the analysis of genetic diversity in a spatial context, where factors such as pollination, seed dispersal, breeding system, habitat heterogeneity and human influence are appropriately integrated, can provide new insights in the understanding of the mechanisms of maintenance and dynamics of populations. In this sense, it is important to recognise that, P patterns and processes may take place at different scales at the same time, and that the scales of a study must be chosen in accordance with the objectives pursued. Apart from conventional approaches to genetic structure, spatial autocorrelation and related techniques, such as Mantel test, correlograms, Mantel correlograms, join-counts, variograms and point pattern analysis, can detect and characterise the existence of spatial genetic structures and lead the way to discussing the environmental and biological factors responsible for them. An alternative way of including spatial variability in modelling approaches that deal with genetic patterns or processes is through the use of constrained ordinations. Although scarcely used at present, these methodologies have great applicability in conservation biology and can lead a way to an effective integration of genetic, demographic and ecological perspectives.
机译:在适当整合授粉,种子传播,育种系统,生境异质性和人类影响等因素的空间背景下,开发合适的方法来分析遗传多样性,可以为理解维持和动态机制提供新的见解。人口。从这个意义上说,重要的是要认识到,P模式和过程可能同时发生在不同的规模上,并且必须根据所追求的目标来选择研究的规模。除了常规的遗传结构方法外,空间自相关和相关技术(如Mantel检验,相关图,Mantel相关图,联接计数,变异函数和点模式分析)可以检测和表征空间遗传结构的存在,并为讨论提供了方法造成它们的环境和生物因素。在处理遗传模式或过程的建模方法中包括空间可变性的另一种方法是通过使用受约束的排序。尽管目前很少使用,但是这些方法在保护生物学中具有很大的适用性,并且可以导致有效整合遗传,人口和生态学观点的方法。

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