Maize Research Institute, Sichuan Agricultural University, Ya'an, China.
PLoS One. 2011 Jan 19;6(1):e16101. doi: 10.1371/journal.pone.0016101.
Development of a seed DNA-based genotyping system for marker-assisted selection (MAS) has provided a novel opportunity for understanding aberrant reproductive phenomena such as hetero-fertilization (HF) by observing the mismatch of endosperm and leaf genotypes in monocot species. In contrast to conventional approaches using specific morphological markers, this approach can be used for any population derived from diverse parental genotypes. A large-scale experiment was implemented using seven F(2) populations and four three-way cross populations, each with 534 to 1024 individuals. The frequency of HF within these populations ranged from 0.14% to 3.12%, with an average of 1.46%. The highest frequency of HF in both types of population was contributed by the pollen gametes. Using three-way crosses allowed, for the first time, detection of the HF contributed by maternal gametes, albeit at very low frequency (0.14%-0.65%). Four HF events identified from each of two F(2) populations were tested and confirmed using 1032 single nucleotide polymorphic markers. This analysis indicated that only 50% of polymorphic markers can detect a known HF event, and thus the real HF frequency can be inferred by doubling the estimate obtained from using only one polymorphic marker. As expected, 99% of the HF events can be detected by using seven independent markers in combination. Although seed DNA-based analysis may wrongly predict plant genotypes due to the mismatch of endosperm and leaf DNA caused by HF, the relatively low HF frequencies revealed with diverse germplasm in this study indicates that the effect on the accuracy of MAS is limited. In addition, comparative endosperm and leaf DNA analysis of specific genetic stocks could be useful for revealing the relationships among various aberrant fertilization phenomena including haploidy and apomixis.
基于种子 DNA 的基因型鉴定系统的发展为标记辅助选择 (MAS) 提供了一个新的机会,可以通过观察单子叶植物中胚乳和叶片基因型的不匹配来了解异常生殖现象,如异交 (HF)。与传统的使用特定形态标记的方法不同,这种方法可以用于任何源自不同亲本基因型的群体。使用七个 F(2)群体和四个三交群体进行了大规模实验,每个群体有 534 到 1024 个个体。这些群体中 HF 的频率范围从 0.14%到 3.12%,平均为 1.46%。HF 频率最高的是花粉配子,在两种类型的群体中都有贡献。使用三交首次允许检测到来自母本配子的 HF,尽管频率非常低(0.14%-0.65%)。从两个 F(2)群体中的每一个群体中鉴定出四个 HF 事件,并使用 1032 个单核苷酸多态性标记进行了测试和确认。该分析表明,只有 50%的多态性标记可以检测到已知的 HF 事件,因此通过将仅使用一个多态性标记获得的估计值加倍,可以推断出实际的 HF 频率。正如预期的那样,使用七个独立的标记组合可以检测到 99%的 HF 事件。尽管基于种子 DNA 的分析可能会由于 HF 引起的胚乳和叶片 DNA 不匹配而错误地预测植物基因型,但本研究中使用不同种质资源揭示的相对较低的 HF 频率表明,对 MAS 准确性的影响是有限的。此外,对特定遗传品系的胚乳和叶片 DNA 的比较分析可能有助于揭示包括单倍体和无融合生殖在内的各种异常受精现象之间的关系。