Department of Environmental Science, Policy, and Management, University of California, Berkeley, 130 Mulford Hall #3114, Berkeley, California 94720-3114 USA.
Appl Plant Sci. 2015 Mar 9;3(3). doi: 10.3732/apps.1400110. eCollection 2015 Mar.
Identifying clonal lineages in asexually reproducing plants using microsatellite markers is complicated by the possibility of nonidentical genotypes from the same clonal lineage due to somatic mutations, null alleles, and scoring errors. We developed and tested a clonal identification protocol that is robust to these issues for the asexually reproducing hexaploid tree species coast redwood (Sequoia sempervirens).
Microsatellite data from four previously published and two newly developed primers were scored using a modified protocol, and clones were identified using Bruvo genetic distances. The effectiveness of this clonal identification protocol was assessed using simulations and by genotyping a test set of paired samples of different tissue types from the same trees.
Data from simulations showed that our protocol allowed us to accurately identify clonal lineages. Multiple test samples from the same trees were identified correctly, although certain tissue type pairs had larger genetic distances on average.
The methods described in this paper will allow for the accurate identification of coast redwood clones, facilitating future studies of the reproductive ecology of this species. The techniques used in this paper can be applied to studies of other clonal organisms as well.
使用微卫星标记识别无性繁殖植物的克隆谱系比较复杂,因为同一克隆谱系可能由于体细胞突变、无效等位基因和评分错误而产生不同的基因型。我们为无性繁殖的六倍体树种海岸红杉(Sequoiasempervirens)开发并测试了一种对这些问题具有鲁棒性的克隆识别方案。
使用改良的方案对来自四个先前发表的和两个新开发的引物的微卫星数据进行评分,并使用 Bruvo 遗传距离识别克隆。通过模拟和对来自同一树木的不同组织类型的配对样本的测试集进行基因分型,评估了这种克隆识别方案的有效性。
模拟数据表明,我们的方案能够准确识别克隆谱系。虽然某些组织类型对的平均遗传距离较大,但来自同一树木的多个测试样本被正确识别。
本文描述的方法将允许准确识别海岸红杉克隆,从而促进对该物种生殖生态学的未来研究。本文中使用的技术也可以应用于其他克隆生物的研究。