MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China; Department of Biology, University of Florida, Gainesville, FL 32611, USA.
Department of Biology, University of Florida, Gainesville, FL 32611, USA.
Mol Phylogenet Evol. 2018 Dec;129:304-314. doi: 10.1016/j.ympev.2018.09.005. Epub 2018 Sep 7.
Next-generation DNA sequencing (NGS) offers a promising way to obtain massive numbers of orthologous loci to understand phylogenetic relationships among organisms. Of particular interest are old museum specimens and other samples with degraded DNA, where traditional sequencing methods have proven to be challenging. Low coverage shotgun sequencing and sequence capture are two widely used NGS approaches for degraded DNA. Sequence capture can yield sequence data for large numbers of orthologous loci, but it can only be used to sequence genomic regions near conserved sequences that can be used as probes. Low coverage shotgun sequencing has the potential to yield different data types throughout the genome. However, many studies using this method have often generated mitochondrial sequences, and few nuclear sequences, suggesting orthologous nuclear sequences are likely harder to recover. To determine the phylogenetic position of the galliform genus Tropicoperdix, whose phylogenetic position is currently uncertain, we explored two strategies to maximize data extraction from low coverage shotgun sequencing from approximately 100-year-old museum specimens from two species of Tropicoperdix. One approach, a simple read mapping strategy, outperformed the other (a reduced complexity assembly approach), and allowed us to obtain a large number of ultraconserved element (UCE) loci, relatively conserved exons, more variable introns, as well as mitochondrial genomes. Additionally, we demonstrated some simple approaches to explore possible artifacts that may result from the use of degraded DNA. Our data placed Tropicoperdix within a clade that includes many taxa characterized with ornamental eyespots (peafowl, argus pheasants, and peacock pheasants), and established relationships among species within the genus. Therefore, our study demonstrated that low coverage shotgun sequencing can easily be leveraged to yield substantial amounts and varying types of data, which opens the door for many research questions that might require information from different data types from museum specimens.
下一代 DNA 测序(NGS)提供了一种很有前途的方法,可以获得大量的直系同源物,从而了解生物体之间的系统发育关系。特别感兴趣的是古老的博物馆标本和其他 DNA 降解的样本,在这些样本中,传统的测序方法已经证明具有挑战性。低覆盖度的鸟枪法测序和序列捕获是两种常用于降解 DNA 的 NGS 方法。序列捕获可以产生大量直系同源物的序列数据,但它只能用于对可以用作探针的保守序列附近的基因组区域进行测序。低覆盖度的鸟枪法测序有可能在整个基因组中产生不同的数据类型。然而,许多使用这种方法的研究往往产生了线粒体序列,而很少有核序列,这表明直系同源的核序列可能更难恢复。为了确定 Galliform 属 Tropicoperdix 的系统发育位置,该属的系统发育位置目前尚不确定,我们探索了两种策略,以最大限度地从来自两个 Tropicoperdix 物种的大约 100 年历史的博物馆标本的低覆盖度鸟枪法测序中提取数据。一种方法是简单的读取映射策略,其性能优于另一种方法(简化复杂度组装方法),并使我们能够获得大量的超保守元件(UCE)基因座、相对保守的外显子、更多变的内含子以及线粒体基因组。此外,我们还展示了一些简单的方法来探索可能由使用降解 DNA 而产生的伪像。我们的数据将 Tropicoperdix 置于一个包括许多具有装饰性眼斑(孔雀、孔雀雉和孔雀雉)的类群的分支中,并确定了该属内种间的关系。因此,我们的研究表明,低覆盖度的鸟枪法测序可以很容易地产生大量不同类型的数据,为许多可能需要从博物馆标本中获取不同数据类型的研究问题提供了可能性。