Department of Botany and Zoology, Masaryk University, Brno, Czech Republic.
New Phytol. 2012 Jan;193(2):513-21. doi: 10.1111/j.1469-8137.2011.03942.x. Epub 2011 Nov 4.
• Knowledge of the phylogenetic pattern and biological relevance of the base composition of large eukaryotic genomes (including those of plants) is poor. With the use of flow cytometry (FCM), the amount of available data on the guanine + cytosine (GC) content of plants has nearly doubled in the last decade. However, skepticism exists concerning the reliability of the method because of uncertainty in some input parameters. • Here, we tested the reliability of FCM for estimating GC content by comparison with the biochemical method of DNA temperature melting analysis (TMA). We conducted measurements in 14 plant species with a maximum currently known GC content range (33.6-47.5% as measured by FCM). We also compared the estimations of the GC content by FCM with genomic sequences in 11 Oryza species. • FCM and TMA data exhibited a high degree of correspondence which remained stable over the relatively wide range of binding lengths (3.39-4.09) assumed for the base-specific dye used. A high correlation was also observed between FCM results and the sequence data in Oryza, although the latter GC contents were consistently lower. • Reliable estimates of the genomic base composition in plants by FCM are comparable with estimates obtained using other methods, and so wider application of FCM in future plant genomic research, although it would pose a challenge, would be supported by these findings.
• 人们对大型真核生物基因组(包括植物基因组)碱基组成的系统发育模式和生物学相关性知之甚少。在过去十年中,流式细胞术(FCM)的应用使有关植物鸟嘌呤+胞嘧啶(GC)含量的可用数据几乎增加了一倍。然而,由于某些输入参数的不确定性,人们对该方法的可靠性仍存在怀疑。 • 在这里,我们通过与 DNA 温度融解分析(TMA)的生化方法比较,测试了 FCM 估计 GC 含量的可靠性。我们对 14 种植物物种进行了测量,这些物种的 GC 含量范围目前已知最大(FCM 测量值为 33.6-47.5%)。我们还比较了 FCM 对 11 种水稻物种基因组序列的 GC 含量估计。 • FCM 和 TMA 数据显示出高度的一致性,在假设使用的碱基特异性染料的相对较宽的结合长度(3.39-4.09)范围内,这种一致性仍然稳定。在水稻中,FCM 结果与序列数据之间也观察到高度相关性,尽管后者的 GC 含量始终较低。 • FCM 可以可靠地估计植物基因组的碱基组成,与使用其他方法获得的估计值相当,因此,尽管这将是一个挑战,但这些发现将支持更广泛地将 FCM 应用于未来的植物基因组研究。