气候变化领域集成服务门户(CCPortal): Detecting signatures of selection on gene expression

CCPortal

DOI	10.1038/s41559-022-01761-8
	Detecting signatures of selection on gene expression
	Price P.D.; Palmer Droguett D.H.; Taylor J.A.; Kim D.W.; Place E.S.; Rogers T.F.; Mank J.E.; Cooney C.R.; Wright A.E.
发表日期	2022
ISSN	2397-334X
英文摘要	A substantial amount of phenotypic diversity results from changes in gene expression levels and patterns. Understanding how the transcriptome evolves is therefore a key priority in identifying mechanisms of adaptive change. However, in contrast to powerful models of sequence evolution, we lack a consensus model of gene expression evolution. Furthermore, recent work has shown that many of the comparative approaches used to study gene expression are subject to biases that can lead to false signatures of selection. Here we first outline the main approaches for describing expression evolution and their inherent biases. Next, we bridge the gap between the fields of phylogenetic comparative methods and transcriptomics to reinforce the main pitfalls of inferring selection on expression patterns and use simulation studies to show that shifts in tissue composition can heavily bias inferences of selection. We close by highlighting the multi-dimensional nature of transcriptional variation and identifying major unanswered questions in disentangling how selection acts on the transcriptome. ? 2022, The Author(s), under exclusive licence to Springer Nature Limited.
语种	英语
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/257173
作者单位	Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, United Kingdom; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, United States; Department of Biosciences, Durham University, Durham, United Kingdom; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Development, Regeneration and Neurophysiology, School of Biosciences, University of Sheffield, Sheffield, United Kingdom; Department of Zoology, University of British Columbia, Vancouver, BC, Canada; Beaty Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada; Centre for Ecology and Conservation, University of Exeter, Penryn, United Kingdom
推荐引用方式 GB/T 7714	Price P.D.,Palmer Droguett D.H.,Taylor J.A.,et al. Detecting signatures of selection on gene expression[J],2022.
APA	Price P.D..,Palmer Droguett D.H..,Taylor J.A..,Kim D.W..,Place E.S..,...&Wright A.E..(2022).Detecting signatures of selection on gene expression.Nature Ecology & Evolution.
MLA	Price P.D.,et al."Detecting signatures of selection on gene expression".Nature Ecology & Evolution (2022).