L
Laurence D. Hurst
Researcher at University of Bath
Publications - 310
Citations - 24738
Laurence D. Hurst is an academic researcher from University of Bath. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 76, co-authored 296 publications receiving 22836 citations. Previous affiliations of Laurence D. Hurst include University of Chicago & University of Oxford.
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Journal ArticleDOI
Evidence for a Trade-Off between Translational Efficiency and Splicing Regulation in Determining Synonymous Codon Usage in Drosophila melanogaster
TL;DR: It is concluded that usage of translationally optimal codons usage is compromised in the vicinity of splice junctions in intron-containing genes, to the effect that higher levels of usage of translated codons at the center of exons are observed.
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Do we understand the evolution of genomic imprinting
Laurence D. Hurst,Gilean McVean +1 more
TL;DR: The conflict theory is the only hypothesis to have attracted any critical attention for the evolution of genomic imprinting, but although the earliest data appeared supportive, recent systematic analyses have not confirmed the model's predictions.
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The architecture of intra-organism mutation rate variation in plants.
Long Wang,Yilun Ji,Yingwen Hu,Huaying Hu,Xianqin Jia,Mengmeng Jiang,Xiaohui Zhang,Lina Zhao,Yanchun Zhang,Yanxiao Jia,Chao Qin,Luyao Yu,Ju Huang,Sihai Yang,Laurence D. Hurst,Dacheng Tian +15 more
TL;DR: It is concluded that some mutation rate variation between tissues is consistent with selectionist theory but that a mechanistic null of mutational fragility should be considered.
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Noisy splicing, more than expression regulation, explains why some exons are subject to nonsense-mediated mRNA decay
Zhenguo Zhang,Zhenguo Zhang,Dedong Xin,Ping Wang,Ping Wang,Li Zhou,Li Zhou,Landian Hu,Xiangyin Kong,Laurence D. Hurst +9 more
TL;DR: For recently evolved exons the noisy splicing model is the better explanation of their properties, while for ancientExons the nonsense-mediated decay regulated gene expression is a viable explanation.
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Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee
TL;DR: The data are consistent with the view that diversification of worker behavior, but not immune function, is a driver of the high crossing-over rate in bees, and demonstrate that high non-crossover rates are not a necessary consequence of high recombination rates.