ArticleJournal of molecular evolution1995
The contribution of slippage-like processes to genome evolution.
Article in Journal of molecular evolution, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
44 citing papers in PubMed, 159 citations in OpenAlex.
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- Genome-wide mapping and characterization of microsatellites in the swamp eel genome.Scientific reports · 2017Article
- PMDBase: a database for studying microsatellite DNA and marker development in plants.Nucleic acids research · 2017Article
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- Development of Highly Informative Genome-Wide Single Sequence Repeat Markers for Breeding Applications in Sesame and Construction of a Web Resource: SisatBase.Frontiers in plant science · 2017Article
- Identification of common, unique and polymorphic microsatellites among 73 cyanobacterial genomes.World journal of microbiology & biotechnology · 2016Article
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- Homopolymer tract organization in the human malarial parasite Plasmodium falciparum and related Apicomplexan parasites.BMC genomics · 2014Article
- ChloroSSRdb: a repository of perfect and imperfect chloroplastic simple sequence repeats (cpSSRs) of green plants.Database : the journal of biological databases and curation · 2014Article
- Fungal genes in context: genome architecture reflects regulatory complexity and function.Genome biology and evolution · 2013Article
- Coevolution between simple sequence repeats (SSRs) and virus genome size.BMC genomics · 2012Article
- Evolution and function of CAG/polyglutamine repeats in protein-protein interaction networks.Nucleic acids research · 2012Article
- Development and characterization of genomic and expressed SSRs for levant cotton (Gossypium herbaceum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simple sequences present in long (> 30 kb) sequences representative of the single-copy genome of five species (Homo sapiens, Caenorhabditis elegans, Saccharomyces cerevisiae, E. coli, and Mycobacterium leprae) have been analyzed. A close relationship was observed between genome size and the overall level of sequence repetition. This suggested that the incorporation of simple sequences had accompanied increases of genome size during evolution. Densities of simple sequence motifs were higher in noncoding regions than in coding regions in eukaryotes but not in eubacteria. All five genomes showed very biased frequency distributions of simple sequence motifs in all species, particularly in eukaryotes where AAA and TTT predominated. Interspecific comparisons showed that noncoding sequences in eukaryotes showed highly significantly similar frequency distributions of simple sequence motifs but this was not true of coding sequences. ANOVA of the frequency distributions of simple sequence motifs indicated strong contributions from motif base composition and repeat unit length, but much of the variation remained unexplained by these parameters. The sequence composition of simple sequences therefore appears to reflect both underlying sequence biases in slippage-like processes and the action of selection. Frequency distributions of simple sequence motifs in coding sequences correlated weakly or not at all with those in noncoding sequences. Selection on coding sequences to eliminate undesirable sequences may therefore have been strong, particularly in the human lineage.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.