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基因组时代的真菌系统发育:从基因组规模数据集推断系统发育的见解。

Fungal Phylogeny in the Age of Genomics: Insights Into Phylogenetic Inference From Genome-Scale Datasets.

机构信息

Hungarian Academy of Sciences, Szeged, Hungary.

Eötvös Loránd University, Budapest, Hungary.

出版信息

Adv Genet. 2017;100:49-72. doi: 10.1016/bs.adgen.2017.09.008. Epub 2017 Oct 20.

Abstract

The genomic era has been transformative for many fields, including our understanding of the phylogenetic relationships between organisms. The wide availability of whole-genome sequences practically eliminated data availability as a limiting factor for inferring phylogenetic trees, providing hundreds to thousands of loci for analyses, leading to molecular phylogenetics gradually being replaced by phylogenomics. The new era has also brought new challenges: systematic errors (resulting from, e.g., model violation) can be more pronounced in phylogenomic datasets and can lead to strongly supported incorrect relationships, creating significant incongruence among studies. Here, we review common practices, technical and biological challenges of phylogenomic analyses, with examples illustrated from fungi. We compare major approaches of phylogenetic inference, and illustrate the advantages conferred and challenges presented in phylogenomic case studies across the fungal tree of life, including cases where genome-scale data could conclusively resolve contentious relationships, and others that remain challenging despite the flood of genomic data.

摘要

基因组时代已经彻底改变了许多领域,包括我们对生物间系统发育关系的理解。全基因组序列的广泛可用性实际上消除了数据可用性这一限制因素,为推断系统发育树提供了数百到数千个基因座,导致分子系统发生学逐渐被系统发生基因组学所取代。新时代也带来了新的挑战:系统误差(例如,模型违反)在系统发生基因组学数据集中可能更为明显,并可能导致强烈支持的错误关系,从而导致研究之间存在重大不一致。在这里,我们回顾了系统发生基因组学分析的常见实践、技术和生物学挑战,并以真菌为例进行了说明。我们比较了主要的系统发育推断方法,并举例说明了系统发生基因组学研究在真菌生命之树上的优势和挑战,包括基因组规模的数据能够明确解决有争议关系的情况,以及尽管基因组数据大量涌现但仍然具有挑战性的情况。

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