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显性标记用于杂种鉴定的效用受基因座数量、遗传分歧和基因型错误的影响。

The effects of locus number, genetic divergence, and genotyping error on the utility of dominant markers for hybrid identification.

机构信息

Department of Evolution, Ecology, and Organismal Biology, 314 Aronoff Laboratory, The Ohio State University 318 W. 12th Ave, Columbus, Ohio, 43210.

Departments of Statistics and Evolution, Ecology, and Organismal Biology, The Ohio State University 404 Cockins Hall, 1958 Neil Ave., Columbus, Ohio, 43210.

出版信息

Ecol Evol. 2014 Feb;4(4):462-73. doi: 10.1002/ece3.833. Epub 2014 Jan 22.

DOI:10.1002/ece3.833
PMID:24634730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3936392/
Abstract

In surveys of hybrid zones, dominant genetic markers are often used to identify individuals of hybrid origin and assign these individuals to one of several potential hybrid classes. Quantitative analyses that address the statistical power of dominant markers in such inference are scarce. In this study, dominant genotype data were simulated to evaluate the effects of, first, the number of loci analyzed, second, the magnitude of differentiation between the markers scored in the groups that are hybridizing, and third, the level of genotyping error associated with the data when assigning individuals to various parental and hybrid categories. The overall performance of the assignment methods was relatively modest at the lowest level of divergence examined (F st ˜ 0.4), but improved substantially at higher levels of differentiation (F st ˜ 0.67 or 0.8). The effect of genotyping error was dependent on the level of divergence between parental taxa, with larger divergences tempering the effects of genotyping error. These results highlight the importance of considering the effects of each of the variables when assigning individuals to various parental and hybrid categories, and can help guide decisions regarding the number of loci employed in future hybridization studies to achieve the power and level of resolution desired.

摘要

在杂种区系调查中，通常使用显性遗传标记来识别杂种起源的个体，并将这些个体分配到几个潜在的杂种类群之一。关于显性标记在这种推断中的统计功效的定量分析很少。在这项研究中，模拟了显性基因型数据，以评估以下三个因素的影响：首先，分析的基因座数量；其次，在杂交群体中评分的标记之间的分化程度；第三，与将个体分配到各种亲本和杂种类别相关的数据的基因分型误差水平。在研究中检查的最低分化水平（Fst0.4）下，分配方法的整体性能相对较差，但在更高的分化水平（Fst0.67 或 0.8）下有了很大提高。基因分型误差的影响取决于亲代分类群之间的分化程度，较大的分化程度缓和了基因分型误差的影响。这些结果强调了在将个体分配到各种亲本和杂种类别时，考虑每个变量的影响的重要性，并可以帮助指导未来杂交研究中使用的基因座数量的决策，以达到所需的功效和分辨率水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/db7515e2835d/ece30004-0462-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/70e940debad4/ece30004-0462-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/90ee8b13259c/ece30004-0462-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/3675e3f57fe5/ece30004-0462-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/9b48d3efac5a/ece30004-0462-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/cf3d8246f15f/ece30004-0462-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/db7515e2835d/ece30004-0462-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/70e940debad4/ece30004-0462-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/90ee8b13259c/ece30004-0462-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/3675e3f57fe5/ece30004-0462-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/9b48d3efac5a/ece30004-0462-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/cf3d8246f15f/ece30004-0462-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea78/3936392/db7515e2835d/ece30004-0462-f6.jpg

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