Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003, USA.
Mol Ecol Resour. 2012 Jan;12(1):160-3. doi: 10.1111/j.1755-0998.2011.03057.x. Epub 2011 Aug 9.
GONe is a user-friendly, Windows-based program for estimating effective size (N(e) ) in populations with overlapping generations. It uses the Jorde-Ryman modification to the temporal method to account for age structure in populations. This method requires estimates of age-specific survival and birth rate and allele frequencies measured in two or more consecutive cohorts. Allele frequencies are acquired by reading in genotypic data from files formatted for either GENEPOP or TEMPOFS. For each interval between consecutive cohorts, N(e) is estimated at each locus and over all loci. Furthermore, N(e) estimates are output for three different genetic drift estimators (F(s) , F(c) and F(k) ). Confidence intervals are derived from a chi-square distribution with degrees of freedom equal to the number of independent alleles. GONe has been validated over a wide range of N(e) values, and for scenarios where survival and birth rates differ between sexes, sex ratios are unequal and reproductive variances differ. GONe is freely available for download at https://bcrc.bio.umass.edu/pedigreesoftware/.
GONe 是一个用户友好的、基于 Windows 的程序，用于估计具有重叠世代的群体中的有效大小（N(e)）。它使用 Jorde-Ryman 对时间方法的修改来解释群体中的年龄结构。该方法需要估计特定年龄的存活率和出生率以及在两个或更多连续队列中测量的等位基因频率。等位基因频率是通过从为 GENEPOP 或 TEMPOFS 格式化的文件中读取基因型数据获得的。对于连续队列之间的每个间隔，在每个位点和所有位点上估计 N(e)。此外，还为三种不同的遗传漂变估计器（F(s)、F(c)和 F(k)）输出 N(e)估计值。置信区间源自自由度等于独立等位基因数量的卡方分布。GONe 在广泛的 N(e)值范围内进行了验证，并且在存活率和出生率在性别之间存在差异、性别比例不平等和生殖方差不同的情况下也是如此。GONe 可在 https://bcrc.bio.umass.edu/pedigreesoftware/ 免费下载。
