Climate Change Data Portal
DOI | 10.1038/s41467-021-20911-3 |
Uncovering de novo gene birth in yeast using deep transcriptomics | |
Blevins W.R.; Ruiz-Orera J.; Messeguer X.; Blasco-Moreno B.; Villanueva-Cañas J.L.; Espinar L.; Díez J.; Carey L.B.; Albà M.M. | |
发表日期 | 2021 |
ISSN | 2041-1723 |
卷号 | 12期号:1 |
英文摘要 | De novo gene origination has been recently established as an important mechanism for the formation of new genes. In organisms with a large genome, intergenic and intronic regions provide plenty of raw material for new transcriptional events to occur, but little is know about how de novo transcripts originate in more densely-packed genomes. Here, we identify 213 de novo originated transcripts in Saccharomyces cerevisiae using deep transcriptomics and genomic synteny information from multiple yeast species grown in two different conditions. We find that about half of the de novo transcripts are expressed from regions which already harbor other genes in the opposite orientation; these transcripts show similar expression changes in response to stress as their overlapping counterparts, and some appear to translate small proteins. Thus, a large fraction of de novo genes in yeast are likely to co-evolve with already existing genes. © 2021, The Author(s). |
语种 | 英语 |
scopus关键词 | gene expression; genome; growth response; protein; yeast; article; nonhuman; physiological stress; Saccharomyces cerevisiae; synteny; transcriptomics; conserved sequence; fungal gene; gene expression regulation; gene regulatory network; genetics; metabolism; open reading frame; Saccharomyces cerevisiae; Saccharomyces cerevisiae; messenger RNA; Saccharomyces cerevisiae protein; transcriptome; Conserved Sequence; Gene Expression Regulation, Fungal; Gene Regulatory Networks; Genes, Fungal; Open Reading Frames; RNA, Messenger; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; Transcriptome |
来源期刊 | Nature Communications |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/251532 |
作者单位 | Evolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra (UPF), Barcelona, Spain; Single Cell Behavior Group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Single Cell Genomics Group, Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain; Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Computer Sciences Department, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain; Molecular Virology group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Molecular Biology CORE, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain; Department of Gene Regulation, Stem Cells and Cancer, Centre for Regulatory Genomics (CRG), Barcelona, Spain; Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, A... |
推荐引用方式 GB/T 7714 | Blevins W.R.,Ruiz-Orera J.,Messeguer X.,et al. Uncovering de novo gene birth in yeast using deep transcriptomics[J],2021,12(1). |
APA | Blevins W.R..,Ruiz-Orera J..,Messeguer X..,Blasco-Moreno B..,Villanueva-Cañas J.L..,...&Albà M.M..(2021).Uncovering de novo gene birth in yeast using deep transcriptomics.Nature Communications,12(1). |
MLA | Blevins W.R.,et al."Uncovering de novo gene birth in yeast using deep transcriptomics".Nature Communications 12.1(2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。