NDLI: Ribosome origins: The relative age of 23S rRNA Domains

Content Provider	Springer Nature Link
Author	Hury, James Nagaswamy, Uma Larios Sanz, Maia Fox, George E.
Copyright Year	2006
Abstract	The modern ribosome and its component RNAs are quite large and it is likely that at an earlier time they were much smaller. Hence, not all regions of the modern ribosomal RNAs (rRNA) are likely to be equally old. In the work described here, it is hypothesized that the oldest regions of the RNAs will usually be highly integrated into the machinery. When this is the case, an examination of the interconnectivity between local RNA regions can provide insight to the relative age of the various regions. Herein, we describe an analysis of all known long-range RNA/RNA interactions within the 23S rRNA and between the 23S rRNA and the 16S rRNA in order to assess the interconnectivity between the usual Domains as defined by secondary structure. Domain V, which contains the peptidyl transferase center is centrally located, extensively connected, and therefore likely to be the oldest region. Domain IV and Domain II are extensively interconnected with both themselves and Domain V. A portion of Domain IV is also extensively connected with the 30S subunit and hence Domain IV may be older than Domain II. These results are consistent with other evidence relating to the relative age of RNA regions. Although the relative time of addition of the GTPase center can not be reliably deduced it is pointed out that the development of this may have dramatically affected the progenotes that preceded the last common ancestor.
Starting Page	421
Ending Page	429
Page Count	9
File Format	PDF
ISSN	01696149
Journal	Origins of Life and Evolution of Biospheres
Volume Number	36
Issue Number	4
e-ISSN	15730875
Language	English
Publisher	Springer Netherlands
Publisher Date	2006-09-14
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Connectivity Long-range contacts Origins of translation Progenote Protein synthesis Ribosomes Biochemistry Astronomy Geosciences Astrophysics Life Sciences
Content Type	Text
Resource Type	Article
Subject	Medicine Ecology, Evolution, Behavior and Systematics Space and Planetary Science

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