School of Biological Sciences, University of Canterbury, P.O. Box 4800, Christchurch, New Zealand.
Am J Bot. 2004 Jan;91(1):37-44. doi: 10.3732/ajb.91.1.37.
Molecular studies of apomictic plant species often detect more genotypic variation than predicted from their assumed reproductive mode. The two most commonly invoked mechanisms to explain these high levels of variation are recombination, via facultative sexuality, and mutation. The potential for sexual reproduction in the facultative apomict Hieracium pilosella (Asteraceae) was determined at three field sites by artificially pollinating with the closely related, but morphologically distinct, H. aurantiacum. The level of genotypic variation at the three sites was recorded using inter-simple sequence repeats (ISSRs). There was a significant, positive relationship between the measured potential for sexual reproduction and population genotypic variability, indicating that sex has played a role in the structuring of these populations; however, a causal relationship cannot be stated because of the use of regression. We also applied the recently developed method of compatibility analysis. Compatibility analysis can determine, using the occurrence of "character incompatibilities," whether patterns of variation observed in populations are most parsimoniously explained by mutation or recombination. Compatibility analysis also indicated that sexual reproduction had played a role in generating genotypic diversity in these populations. Combining these different types of data may give a greater understanding of the potential for the generation of genotypic diversity in facultative apomictic populations.
对无融合生殖植物物种的分子研究经常检测到比其假定生殖模式预测的更多的基因型变异。解释这些高水平变异的两个最常被援引的机制是通过兼性有性繁殖的重组和突变。在三个野外地点,通过用密切相关但形态上不同的 H. aurantiacum 人工授粉,确定了兼性无融合生殖 Hieracium pilosella(菊科)的有性生殖潜力。使用简单序列重复(ISSRs)记录了三个地点的基因型变异水平。测量的有性生殖潜力与种群基因型变异性之间存在显著的正相关关系,表明性在这些种群的结构形成中发挥了作用;然而,由于使用了回归,因此不能说明因果关系。我们还应用了最近开发的相容性分析方法。相容性分析可以通过“特征不兼容性”的发生来确定,观察到的种群变异模式是否最简约地通过突变或重组来解释。相容性分析还表明,有性生殖在这些种群中产生基因型多样性方面发挥了作用。结合这些不同类型的数据,可能会更好地理解兼性无融合生殖种群产生基因型多样性的潜力。