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系统基因组数据的局限性可能会推动推断的物种形成率转变。

Limitations of Phylogenomic Data Can Drive Inferred Speciation Rate Shifts.

机构信息

Center for Biodiversity, Temple University, Philadelphia, PA, USA.

Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.

出版信息

Mol Biol Evol. 2022 Mar 2;39(3). doi: 10.1093/molbev/msac038.

Abstract

Biodiversity analyses of phylogenomic timetrees have produced many high-profile examples of shifts in the rate of speciation across the tree of life. Temporally correlated events in ecology, climate, and biogeography are frequently invoked to explain these rate shifts. In a re-examination of 15 genomic timetrees and 25 major published studies of the pattern of speciation through time, we observed an unexpected correlation between the timing of reported rate shifts and the information content of sequence alignments. Here, we show that the paucity of sequence variation and insufficient species sampling in phylogenomic data sets are the likely drivers of many inferred speciation rate shifts, rather than the proposed biological explanations. Therefore, data limitations can produce predictable but spurious signals of rate shifts even when speciation rates may be similar across taxa and time. Our results suggest that the reliable detection of speciation rate shifts requires the acquisition and assembly of long phylogenomic alignments with near-complete species sampling and accurate estimates of species richness for the clades of study.

摘要

系统发生基因组时标分析产生了许多关于生命之树中物种形成率变化的备受瞩目的例子。生态、气候和生物地理学中时间上相关的事件经常被用来解释这些速率变化。在对 15 个基因组时标和 25 个关于物种形成随时间变化模式的主要已发表研究进行重新考察时,我们观察到报告的速率变化的时间与序列比对的信息量之间存在出乎意料的相关性。在这里,我们表明,在基因组数据集,序列变异的缺乏和物种采样不足是许多推断出的物种形成率变化的可能驱动因素,而不是提出的生物学解释。因此,即使在分类群和时间上的物种形成率可能相似的情况下,数据限制也会产生可预测但虚假的速率变化信号。我们的研究结果表明,可靠地检测物种形成率变化需要获得和组装具有近乎完整物种采样和研究支系的物种丰富度的准确估计的长基因组比对。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/8896619/e35c82161970/msac038f1.jpg

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