当前位置: X-MOL 学术Mol. Ecol. Resour. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Making use of the social network in conservation genomics: Integrating kinship and network analyses to understand connectivity.
Molecular Ecology Resources ( IF 5.5 ) Pub Date : 2019-02-28 , DOI: 10.1111/1755-0998.12950
Emma L Carroll 1, 2, 3 , Oscar E Gaggiotti 1
Affiliation  

Inferring and quantifying recent barriers to connectivity is increasingly important for conservation and management in a world undergoing rapid environmental change. Traditional measures of genetic differentiation can take many generations to reflect a new barrier to connectivity. Although methods that use the linkage disequilibrium signal in mixed genetic samples are able to reflect recent levels of gene flow, they are not suitable for use in situations with low levels of genetic differentiation. Kinship-based methods, those that assess the spatio-temporal distribution of related individuals, have been used in this context, but a formal statistical framework for such approaches has been lacking. In this issue of Molecular Ecology Resources, Escoda, et al. adapt the assortativity coefficient, AC, to analyse the networks of kin relationships in the Pyrenean desman (Galemys pyrenaicus) across potential barriers to dispersal. Their modified AC quantifies the proportion of missing kin relationships across putative dispersal barriers with respect to the expected proportion if there was no barrier. This application highlights that AC can be used to test the null hypothesis that a putative barrier has no effect on gene flow, in which case AC is not significantly different from 0. The method represents a useful step forward in conservation genomics by developing and adapting tools to assess contemporary connectivity using genomic data.

中文翻译:

在保护基因组学中利用社交网络:将血缘和网络分析相结合以了解连通性。

对于正在经历快速环境变化的世界中的保护和管理,推断和量化最近的连接障碍变得越来越重要。传统的遗传分化措施可能需要几代人才能反映出连通性的新障碍。尽管在混合的遗传样本中使用连锁不平衡信号的方法能够反映最近的基因流水平,但它们不适用于遗传分化水平较低的情况。在这种情况下,已经使用了基于亲缘关系的方法(用于评估相关个人的时空分布的方法),但是缺乏针对这种方法的正式统计框架。在本期《分子生态资源》中,Escoda等人。调整分类系数AC 分析在比利牛斯沙漠(Galemys pyrenaicus)中的潜在亲属关系网络,这些网络跨越了传播的潜在障碍。他们修改后的AC量化了假定的分散障碍中,缺少亲属关系的比例相对于预期比例(如果没有障碍)的比例。该应用程序强调交流可以用来检验无效假设,即假定的障碍对基因流没有影响,在这种情况下,交流没有显着不同于0。该方法代表了开发和适应工具在保护基因组学方面迈出的重要一步使用基因组数据评估当代的连通性。他们修改后的AC量化了假定的分散障碍中,缺少亲属关系的比例相对于预期比例(如果没有障碍)的比例。该应用程序强调交流可以用来检验无效假设,即假定的障碍对基因流没有影响,在这种情况下,交流没有显着不同于0。该方法代表了开发和适应工具在保护基因组学方面迈出的重要一步使用基因组数据评估当代的连通性。他们修改后的AC量化了假定的分散障碍中,缺少亲属关系的比例相对于预期比例(如果没有障碍)的比例。该应用程序强调交流可以用来检验无效假设,即假定的障碍对基因流没有影响,在这种情况下,交流没有显着不同于0。该方法代表了开发和适应工具在保护基因组学方面迈出的重要一步使用基因组数据评估当代的连通性。
更新日期:2019-11-01
down
wechat
bug