Literature DB >> 11847556

Phenylalanine-binding RNAs and genetic code evolution.

Mali Illangasekare1, Michael Yarus.   

Abstract

We isolated RNAs by selection-amplification, selecting for affinity to Phe-Sepharose and elution with free l-phenylalanine. Constant sequences did not contain Phe condons or anticodons, to avoid any possible confounding influence on initially randomized sequences. We examined the eight most frequent Phe-binding RNAs for inclusion of coding triplets. Binding sites were defined by nucleotide conservation, protection, and interference data. Together these RNAs comprise 70% of the 105 sequenced RNAs. The KD for the strongest sites is approximately 50 microM free amino acid, with strong stereoselectivity. One site strongly distinguishes free Phe from Trp and Tyr, a specificity not observed previously. In these eight Phe-binding RNAs, Phe codons are not significantly associated with Phe binding sites. However, among 21 characterized RNAs binding Phe, Tyr, Arg, and Ile, containing 1342 total nucleotides, codons are 2.7-fold more frequent within binding sites than in surrounding sequences in the same molecules. If triplets were not specifically related to binding sites, the probability of this distribution would be 4.8 x 10(-11). Therefore, triplet concentration within amino acid binding sites taken together is highly likely. In binding sites for Arg, Tyr, and Ile cognate codons are overrepresented. Thus Arg, Tyr, and Ile may be amino acids whose codons were assigned during an era of direct RNA-amino acid affinity. In contrast, Phe codons arguably were assigned by another criterion, perhaps during later code evolution.

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Year:  2002        PMID: 11847556     DOI: 10.1007/s00239-001-0045-6

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  15 in total

1.  On the evolution of primitive genetic codes.

Authors:  Günter Weberndorfer; Ivo L Hofacker; Peter F Stadler
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

Review 2.  The case for an error minimizing standard genetic code.

Authors:  Stephen J Freeland; Tao Wu; Nick Keulmann
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

3.  Error minimization and coding triplet/binding site associations are independent features of the canonical genetic code.

Authors:  J Gregory Caporaso; Michael Yarus; Rob Knight
Journal:  J Mol Evol       Date:  2005-10-06       Impact factor: 2.395

4.  The plausibility of RNA-templated peptides: simultaneous RNA affinity for adjacent peptide side chains.

Authors:  Rebecca M Turk-Macleod; Deepa Puthenvedu; Irene Majerfeld; Michael Yarus
Journal:  J Mol Evol       Date:  2012-04-27       Impact factor: 2.395

5.  A realistic model under which the genetic code is optimal.

Authors:  Harry Buhrman; Peter T S van der Gulik; Gunnar W Klau; Christian Schaffner; Dave Speijer; Leen Stougie
Journal:  J Mol Evol       Date:  2013-07-23       Impact factor: 2.395

Review 6.  RNA-amino acid binding: a stereochemical era for the genetic code.

Authors:  Michael Yarus; Jeremy Joseph Widmann; Rob Knight
Journal:  J Mol Evol       Date:  2009-10-01       Impact factor: 2.395

7.  RNA affinity for molecular L-histidine; genetic code origins.

Authors:  Irene Majerfeld; Deepa Puthenvedu; Michael Yarus
Journal:  J Mol Evol       Date:  2005-06-27       Impact factor: 2.395

8.  Phenylalanine Monitoring via Aptamer-Field-Effect Transistor Sensors.

Authors:  Kevin M Cheung; Kyung-Ae Yang; Nako Nakatsuka; Chuanzhen Zhao; Mao Ye; Michael E Jung; Hongyan Yang; Paul S Weiss; Milan N Stojanović; Anne M Andrews
Journal:  ACS Sens       Date:  2019-11-01       Impact factor: 7.711

9.  Nucleotides that are essential but not conserved; a sufficient L-tryptophan site in RNA.

Authors:  Irene Majerfeld; Jana Chocholousova; Vikas Malaiya; Jeremy Widmann; Daniel McDonald; Jens Reeder; Matthew Iyer; Mali Illangasekare; Michael Yarus; Rob Knight
Journal:  RNA       Date:  2010-08-10       Impact factor: 4.942

10.  Selecting RNA aptamers for synthetic biology: investigating magnesium dependence and predicting binding affinity.

Authors:  James M Carothers; Jonathan A Goler; Yuvraaj Kapoor; Lesley Lara; Jay D Keasling
Journal:  Nucleic Acids Res       Date:  2010-02-16       Impact factor: 16.971

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