Literature DB >> 7643414

The contribution of DNA slippage to eukaryotic nuclear 18S rRNA evolution.

J M Hancock1.   

Abstract

Six of 204 eukaryotic nuclear small-subunit ribosomal RNA sequences analyzed show a highly significant degree of clustering of short sequence motifs that indicates the fixation of products of replication slippage within them in their recent evolutionary history. A further 72 sequences show weaker indications of sequence repetition. Repetitive sequences in SSU rRNAs are preferentially located in variable regions and in particular in V4 and V7. The conserved region immediately 5' to V7 (C7) is also consistently repetitive. Whereas variable regions vary in length and appear to have evolved by the fixation of slippage products, C7 shows no indication of length variation. Repetition within C7 is therefore either not a consequence of slippage or reflects very ancient slippage events. The phylogenetic distribution of sequence simplicity in small-subunit rRNAs is patchy, being largely confined to the Mammalia, Apicomplexa, Tetrahymenidae, and Trypanosomatidae. The regions of the molecule associated with sequence simplicity vary with taxonomic grouping as do the sequence motifs undergoing slippage. Comparison of rates of insertion and substitution in a lineage within the genus Plasmodium confirms that both rates are higher in variable regions than in conserved regions. The insertion rate in variable regions is substantially lower than the substitution rate, suggesting that selection acts more strongly on slippage products than on point mutations in these regions. Patterns of coevolution between variable regions may reflect the consequences of selection acting on the incorporation of slippage-derived sequences across the gene.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7643414     DOI: 10.1007/bf00160511

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


  33 in total

1.  'Compensatory slippage' in the evolution of ribosomal RNA genes.

Authors:  J M Hancock; G A Dover
Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

2.  Evolution of compensatory substitutions through G.U intermediate state in Drosophila rRNA.

Authors:  F Rousset; M Pélandakis; M Solignac
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-15       Impact factor: 11.205

3.  Secondary structure constraints on the evolution of Drosophila 28 S ribosomal RNA expansion segments.

Authors:  A Ruiz Linares; J M Hancock; G A Dover
Journal:  J Mol Biol       Date:  1991-06-05       Impact factor: 5.469

4.  The human 18S ribosomal RNA gene: evolution and stability.

Authors:  I L Gonzalez; R D Schmickel
Journal:  Am J Hum Genet       Date:  1986-04       Impact factor: 11.025

5.  Ribosomal RNA sequence suggests microsporidia are extremely ancient eukaryotes.

Authors:  C R Vossbrinck; J V Maddox; S Friedman; B A Debrunner-Vossbrinck; C R Woese
Journal:  Nature       Date:  1987 Mar 26-Apr 1       Impact factor: 49.962

6.  Xenopus laevis 28S ribosomal RNA: a secondary structure model and its evolutionary and functional implications.

Authors:  C G Clark; B W Tague; V C Ware; S A Gerbi
Journal:  Nucleic Acids Res       Date:  1984-08-10       Impact factor: 16.971

7.  Conservation and divergence in multigene families: alternatives to selection and drift.

Authors:  G A Dover; D Tautz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1986-01-29       Impact factor: 6.237

8.  Reconstructing evolution from eukaryotic small-ribosomal-subunit RNA sequences: calibration of the molecular clock.

Authors:  Y Van de Peer; J M Neefs; P De Rijk; R De Wachter
Journal:  J Mol Evol       Date:  1993-08       Impact factor: 2.395

9.  Cryptic simplicity in DNA is a major source of genetic variation.

Authors:  D Tautz; M Trick; G A Dover
Journal:  Nature       Date:  1986 Aug 14-20       Impact factor: 49.962

10.  Complete sequences of the rRNA genes of Drosophila melanogaster.

Authors:  D Tautz; J M Hancock; D A Webb; C Tautz; G A Dover
Journal:  Mol Biol Evol       Date:  1988-07       Impact factor: 16.240

View more
  9 in total

1.  Distribution of substitution rates and location of insertion sites in the tertiary structure of ribosomal RNA.

Authors:  J Wuyts; Y Van de Peer; R De Wachter
Journal:  Nucleic Acids Res       Date:  2001-12-15       Impact factor: 16.971

2.  Modelling the secondary structures of slippage-prone hypervariable RNA regions: the example of the tiger beetle 18S rRNA variable region V4.

Authors:  J M Hancock; A P Vogler
Journal:  Nucleic Acids Res       Date:  1998-04-01       Impact factor: 16.971

3.  Sequence simplicity and evolution of the 3' untranslated region of the histone H1o gene.

Authors:  I Ponte; C Monsalves; M Cabañas; P Martínez; P Suau
Journal:  J Mol Evol       Date:  1996-08       Impact factor: 2.395

4.  Molecular species identification of Central European ground beetles (Coleoptera: Carabidae) using nuclear rDNA expansion segments and DNA barcodes.

Authors:  Michael J Raupach; Jonas J Astrin; Karsten Hannig; Marcell K Peters; Mark Y Stoeckle; Johann-Wolfgang Wägele
Journal:  Front Zool       Date:  2010-09-13       Impact factor: 3.172

5.  The contribution of slippage-like processes to genome evolution.

Authors:  J M Hancock
Journal:  J Mol Evol       Date:  1995-12       Impact factor: 2.395

6.  Analyses of carnivore microsatellites and their intimate association with tRNA-derived SINEs.

Authors:  Francesc López-Giráldez; Olga Andrés; Xavier Domingo-Roura; Montserrat Bosch
Journal:  BMC Genomics       Date:  2006-10-23       Impact factor: 3.969

7.  Characteristics of the nuclear (18S, 5.8S, 28S and 5S) and mitochondrial (12S and 16S) rRNA genes of Apis mellifera (Insecta: Hymenoptera): structure, organization, and retrotransposable elements.

Authors:  J J Gillespie; J S Johnston; J J Cannone; R R Gutell
Journal:  Insect Mol Biol       Date:  2006-10       Impact factor: 3.585

8.  Toward accurate molecular identification of species in complex environmental samples: testing the performance of sequence filtering and clustering methods.

Authors:  Jullien M Flynn; Emily A Brown; Frédéric J J Chain; Hugh J MacIsaac; Melania E Cristescu
Journal:  Ecol Evol       Date:  2015-05-13       Impact factor: 2.912

9.  The best of both worlds: A combined approach for analyzing microalgal diversity via metabarcoding and morphology-based methods.

Authors:  Sophie Groendahl; Maria Kahlert; Patrick Fink
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.