PDF(Pubmed)
Abstract：
UNASSIGNED: Polyploidy has become a central factor in plant evolutionary biological research in recent decades. Methods such as flow cytometry have revealed the widespread occurrence of polyploidy; however, its inference relies on expensive lab equipment and is largely restricted to fresh or recently dried material.
UNASSIGNED: Here, we assess the applicability of infrared spectroscopy to infer ploidy in two related species of Veronica (Plantaginaceae). Infrared spectroscopy relies on differences in the absorbance of tissues, which could be affected by primary and secondary metabolites related to polyploidy. We sampled 33 living plants from the greenhouse and 74 herbarium specimens with ploidy known through flow cytometrical measurements and analyzed the resulting spectra using discriminant analysis of principal components (DAPC) and neural network (NNET) classifiers.
UNASSIGNED: Living material of both species combined was classified with 70% (DAPC) to 75% (NNET) accuracy, whereas herbarium material was classified with 84% (DAPC) to 85% (NNET) accuracy. Analyzing both species separately resulted in less clear results.
UNASSIGNED: Infrared spectroscopy is quite reliable but is not a certain method for assessing intraspecific ploidy level differences in two species of Veronica. More accurate inferences rely on large training data sets and herbarium material. This study demonstrates an important way to expand the field of polyploid research to herbaria.
UNASSIGNED: Here, we assess the applicability of infrared spectroscopy to infer ploidy in two related species of Veronica (Plantaginaceae). Infrared spectroscopy relies on differences in the absorbance of tissues, which could be affected by primary and secondary metabolites related to polyploidy. We sampled 33 living plants from the greenhouse and 74 herbarium specimens with ploidy known through flow cytometrical measurements and analyzed the resulting spectra using discriminant analysis of principal components (DAPC) and neural network (NNET) classifiers.
UNASSIGNED: Living material of both species combined was classified with 70% (DAPC) to 75% (NNET) accuracy, whereas herbarium material was classified with 84% (DAPC) to 85% (NNET) accuracy. Analyzing both species separately resulted in less clear results.
UNASSIGNED: Infrared spectroscopy is quite reliable but is not a certain method for assessing intraspecific ploidy level differences in two species of Veronica. More accurate inferences rely on large training data sets and herbarium material. This study demonstrates an important way to expand the field of polyploid research to herbaria.
摘要：
■近几十年来，多倍体已成为植物进化生物学研究的核心因素。流式细胞术等方法揭示了多倍体的广泛发生；然而，它的推断依赖于昂贵的实验室设备，并且主要限于新鲜或最近干燥的材料。
■这里，我们评估了红外光谱在两个相关的维罗妮卡（plantaginaceae）物种中推断倍性的适用性。红外光谱依赖于组织吸光度的差异，可能受到与多倍体相关的初级和次级代谢产物的影响。我们从温室中采样了33株活体植物和74株植物标本室标本，其倍性通过流式细胞术测量已知，并使用主成分判别分析（DAPC）和神经网络（NNET）分类器分析了所得光谱。
■两种物种的生命物质组合分类精度为70％（DAPC）至75％（NNET），而植物标本室材料的分类准确率为84%(DAPC)至85%(NNET)。分别分析这两种物种导致不太清楚的结果。
■红外光谱法相当可靠，但不是评估两种维罗妮卡物种种内倍性水平差异的某种方法。更准确的推断依赖于大量的训练数据集和植物标本室材料。这项研究表明了将多倍体研究领域扩展到草本的重要途径。
■这里，我们评估了红外光谱在两个相关的维罗妮卡（plantaginaceae）物种中推断倍性的适用性。红外光谱依赖于组织吸光度的差异，可能受到与多倍体相关的初级和次级代谢产物的影响。我们从温室中采样了33株活体植物和74株植物标本室标本，其倍性通过流式细胞术测量已知，并使用主成分判别分析（DAPC）和神经网络（NNET）分类器分析了所得光谱。
■两种物种的生命物质组合分类精度为70％（DAPC）至75％（NNET），而植物标本室材料的分类准确率为84%(DAPC)至85%(NNET)。分别分析这两种物种导致不太清楚的结果。
■红外光谱法相当可靠，但不是评估两种维罗妮卡物种种内倍性水平差异的某种方法。更准确的推断依赖于大量的训练数据集和植物标本室材料。这项研究表明了将多倍体研究领域扩展到草本的重要途径。
