de Sousa Filipe, Bertrand Yann J K, Nylinder Stephan, Oxelman Bengt, Eriksson Jonna S, Pfeil Bernard E
Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
Department of Botany, Swedish Museum of Natural History, Stockholm, Sweden.
PLoS One. 2014 Oct 17;9(10):e109704. doi: 10.1371/journal.pone.0109704. eCollection 2014.
Next-generation sequencing technology has increased the capacity to generate molecular data for plant biological research, including phylogenetics, and can potentially contribute to resolving complex phylogenetic problems. The evolutionary history of Medicago L. (Leguminosae: Trifoliae) remains unresolved due to incongruence between published phylogenies. Identification of the processes causing this genealogical incongruence is essential for the inference of a correct species phylogeny of the genus and requires that more molecular data, preferably from low-copy nuclear genes, are obtained across different species. Here we report the development of 50 novel LCN markers in Medicago and assess the phylogenetic properties of each marker. We used the genomic resources available for Medicago truncatula Gaertn., hybridisation-based gene enrichment (sequence capture) techniques and Next-Generation Sequencing to generate sequences. This alternative proves to be a cost-effective approach to amplicon sequencing in phylogenetic studies at the genus or tribe level and allows for an increase in number and size of targeted loci. Substitution rate estimates for each of the 50 loci are provided, and an overview of the variation in substitution rates among a large number of low-copy nuclear genes in plants is presented for the first time. Aligned sequences of major species lineages of Medicago and its sister genus are made available and can be used in further probe development for sequence-capture of the same markers.
新一代测序技术提高了为植物生物学研究(包括系统发育学)生成分子数据的能力,并有可能有助于解决复杂的系统发育问题。由于已发表的系统发育树之间存在不一致性,紫花苜蓿属(豆科:三叶草族)的进化历史仍未得到解决。识别导致这种谱系不一致的过程对于推断该属正确的物种系统发育至关重要,并且需要在不同物种中获得更多的分子数据,最好是来自低拷贝核基因的数据。在这里,我们报告了在紫花苜蓿中开发的50个新型低拷贝核标记,并评估了每个标记的系统发育特性。我们利用了可用于蒺藜苜蓿的基因组资源、基于杂交的基因富集(序列捕获)技术和新一代测序来生成序列。这种方法被证明是在属或族水平的系统发育研究中进行扩增子测序的一种经济有效的方法,并且可以增加目标位点的数量和大小。提供了50个位点中每个位点的替换率估计,并首次概述了植物中大量低拷贝核基因之间替换率的变化。提供了紫花苜蓿及其近缘属主要物种谱系的比对序列,可用于进一步开发用于相同标记序列捕获的探针。