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跨不同物种的完整编码区的靶向捕获

Targeted Capture of Complete Coding Regions across Divergent Species.

作者信息

Schott Ryan K, Panesar Bhawandeep, Card Daren C, Preston Matthew, Castoe Todd A, Chang Belinda S W

机构信息

Department of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.

Department of Cell and Systems Biology, University of Toronto, Ontario, Canada.

出版信息

Genome Biol Evol. 2017 Feb 1;9(2):398-414. doi: 10.1093/gbe/evx005.

Abstract

Despite continued advances in sequencing technologies, there is a need for methods that can efficiently sequence large numbers of genes from diverse species. One approach to accomplish this is targeted capture (hybrid enrichment). While these methods are well established for genome resequencing projects, cross-species capture strategies are still being developed and generally focus on the capture of conserved regions, rather than complete coding regions from specific genes of interest. The resulting data is thus useful for phylogenetic studies, but the wealth of comparative data that could be used for evolutionary and functional studies is lost. Here, we design and implement a targeted capture method that enables recovery of complete coding regions across broad taxonomic scales. Capture probes were designed from multiple reference species and extensively tiled in order to facilitate cross-species capture. Using novel bioinformatics pipelines we were able to recover nearly all of the targeted genes with high completeness from species that were up to 200 myr divergent. Increased probe diversity and tiling for a subset of genes had a large positive effect on both recovery and completeness. The resulting data produced an accurate species tree, but importantly this same data can also be applied to studies of molecular evolution and function that will allow researchers to ask larger questions in broader phylogenetic contexts. Our method demonstrates the utility of cross-species approaches for the capture of full length coding sequences, and will substantially improve the ability for researchers to conduct large-scale comparative studies of molecular evolution and function.

摘要

尽管测序技术不断进步,但仍需要能够高效测序来自不同物种的大量基因的方法。实现这一目标的一种方法是靶向捕获(杂交富集)。虽然这些方法在基因组重测序项目中已得到广泛应用,但跨物种捕获策略仍在不断发展,且通常侧重于保守区域的捕获,而非来自特定感兴趣基因的完整编码区域。因此,所得数据对系统发育研究有用,但可用于进化和功能研究的大量比较数据却丢失了。在此,我们设计并实施了一种靶向捕获方法,该方法能够在广泛的分类尺度上恢复完整的编码区域。捕获探针是根据多个参考物种设计的,并进行了广泛的平铺,以促进跨物种捕获。使用新颖的生物信息学流程,我们能够从分歧时间长达2亿年的物种中以高完整性恢复几乎所有靶向基因。增加探针多样性和对一部分基因进行平铺对回收率和完整性都有很大的积极影响。所得数据生成了一棵准确的物种树,但重要的是,这些相同的数据也可应用于分子进化和功能研究,这将使研究人员能够在更广泛的系统发育背景下提出更大的问题。我们的方法证明了跨物种方法在捕获全长编码序列方面的实用性,并将大大提高研究人员进行大规模分子进化和功能比较研究的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e3/5381602/1fa64cbdf914/evx005f1p.jpg

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