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Artikel ; Online: LINE retrotransposons characterize mammalian tissue-specific and evolutionarily dynamic regulatory regions

Maša Roller / Ericca Stamper / Diego Villar / Osagie Izuogu / Fergal Martin / Aisling M. Redmond / Raghavendra Ramachanderan / Louise Harewood / Duncan T. Odom / Paul Flicek

Genome Biology, Vol 22, Iss 1, Pp 1-

2021  Band 43

Abstract: Abstract Background To investigate the mechanisms driving regulatory evolution across tissues, we experimentally mapped promoters, enhancers, and gene expression in the liver, brain, muscle, and testis from ten diverse mammals. Results The regulatory ... ...

Abstract Abstract Background To investigate the mechanisms driving regulatory evolution across tissues, we experimentally mapped promoters, enhancers, and gene expression in the liver, brain, muscle, and testis from ten diverse mammals. Results The regulatory landscape around genes included both tissue-shared and tissue-specific regulatory regions, where tissue-specific promoters and enhancers evolved most rapidly. Genomic regions switching between promoters and enhancers were more common across species, and less common across tissues within a single species. Long Interspersed Nuclear Elements (LINEs) played recurrent evolutionary roles: LINE L1s were associated with tissue-specific regulatory regions, whereas more ancient LINE L2s were associated with tissue-shared regulatory regions and with those switching between promoter and enhancer signatures across species. Conclusions Our analyses of the tissue-specificity and evolutionary stability among promoters and enhancers reveal how specific LINE families have helped shape the dynamic mammalian regulome.
Schlagwörter Regulatory evolution ; Gene regulation ; Promoters ; Enhancers ; Transposable elements ; Long Interspersed Nuclear Elements (LINEs) ; Biology (General) ; QH301-705.5 ; Genetics ; QH426-470
Thema/Rubrik (Code) 616
Sprache Englisch
Erscheinungsdatum 2021-02-01T00:00:00Z
Verlag BMC
Dokumenttyp Artikel ; Online
Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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