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首页> 外文期刊>American journal of botany >Quality and quantity of data recovered from massively parallel sequencing: examples in Asparagales and Poaceae. (Special Issue: Methods and applications of next-generation sequencing in botany.)
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Quality and quantity of data recovered from massively parallel sequencing: examples in Asparagales and Poaceae. (Special Issue: Methods and applications of next-generation sequencing in botany.)

机译:从大规模并行测序中回收的数据的质量和数量:例如芦笋和禾本科。 (特刊:下一代测序在植物学中的方法和应用。)

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Premise of the study: Genome survey sequences (GSS) from massively parallel sequencing have potential to provide large, cost-effective data sets for phylogenetic inference, replace single gene or spacer regions as DNA barcodes, and provide a plethora of data for other comparative molecular evolution studies. Here we report on the application of this method to estimating the molecular phylogeny of core Asparagales, investigating plastid gene losses, assembling complete plastid genomes, and determining the type and quality of assembled genomic data attainable from Illumina 80-120-bp reads. Methods: We sequenced total genomic DNA from samples in two lineages of monocotyledonous plants, Poaceae and Asparagales, on the Illumina platform in a multiplex arrangement. We compared reference-based assemblies to de novo contigs, evaluated consistency of assemblies resulting from use of various references sequences, and assessed our methods to obtain sequence assemblies in nonmodel taxa. Key results: Our method returned reliable, robust organellar and nrDNA sequences in a variety of plant lineages. High quality assemblies are not dependent on genome size, amount of plastid present in the total genomic DNA template, or relatedness of available reference sequences for assembly. Phylogenetic results revealed familial and subfamilial relationships within Asparagales with high bootstrap support, although placement of the monotypic genus Aphyllanthes was placed with moderate confidence. Conclusions: The well-supported molecular phylogeny provides evidence for delineation of subfamilies within core Asparagales. With advances in technology and bioinformatics tools, the use of massively parallel sequencing will continue to become easier and more affordable for phylogenomic and molecular evolutionary biology investigations.
机译:研究的前提:大规模并行测序的基因组调查序列(GSS)有潜力为系统发育推断提供大型,经济高效的数据集,将单个基因或间隔区替换为DNA条码,并为其他比较分子提供大量数据进化研究。在这里,我们报告了该方法在估计核心天冬酰胺的分子系统发育,研究质体基因损失,组装完整的质体基因组以及确定可从Illumina 80-120-bp读段获得的组装基因组数据的类型和质量方面的应用。方法:在Illumina平台上,我们以多重排列的方式对来自单子叶植物的两个谱系,禾本科和天冬酰胺的样品中的总基因组DNA进行了测序。我们将基于参考的程序集与从头重叠群进行了比较,评估了使用各种参考序列产生的程序集的一致性,并评估了我们在非模型分类单元中获得序列程序集的方法。关键结果:我们的方法在各种植物谱系中返回了可靠,可靠的细胞器和nrDNA序列。高质量的装配不依赖于基因组大小,总基因组DNA模板中存在的质体数量或装配可用参考序列的相关性。系统发育结果显示,尽管单型属 Aphyllanthes 的放置具有中等的置信度,但芦笋中的家族和亚家族关系具有较高的自举支持。结论:分子系统发育良好的支持为核心芦笋中的亚科划定提供了证据。随着技术和生物信息学工具的进步,大规模并行测序的使用将继续变得更加容易,并且在系统生物学和分子进化生物学研究中也将更加负担得起。

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