ArticleGenome biology2007
The global landscape of sequence diversity.
Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- Comparison of assembly algorithms for improving rate of metatranscriptomic functional annotation.Microbiome · 2014Article
- A comprehensive metatranscriptome analysis pipeline and its validation using human small intestine microbiota datasets.BMC genomics · 2013Article
- Generation and analysis of a mouse intestinal metatranscriptome through Illumina based RNA-sequencing.PloS one · 2012Article
- A transcriptomic analysis of Echinococcus granulosus larval stages: implications for parasite biology and host adaptation.PLoS neglected tropical diseases · 2012Article
- The origins of apicomplexan sequence innovation.Genome research · 2009Article
- The conservation and evolutionary modularity of metabolism.Genome biology · 2009Article
- Evolutionary diversification of plant shikimate kinase gene duplicates.PLoS genetics · 2008Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSystematic comparisons between genomic sequence datasets have revealed a wide spectrum of sequence specificity from sequences that are highly conserved to those that are specific to individual species. Due to the limited number of fully sequenced eukaryotic genomes, analyses of this spectrum have largely focused on prokaryotes. Combining existing genomic datasets with the partial genomes of 193 eukaryotes derived from collections of expressed sequence tags, we performed a quantitative analysis of the sequence specificity spectrum to provide a global view of the origins and extent of sequence diversity across the three domains of life.
resultsComparisons with prokaryotic datasets reveal a greater genetic diversity within eukaryotes that may be related to differences in modes of genetic inheritance. Mapping this diversity within a phylogenetic framework revealed that the majority of sequences are either highly conserved or specific to the species or taxon from which they derive. Between these two extremes, several evolutionary landmarks consisting of large numbers of sequences conserved within specific taxonomic groups were identified. For example, 8% of sequences derived from metazoan species are specific and conserved within the metazoan lineage. Many of these sequences likely mediate metazoan specific functions, such as cell-cell communication and differentiation.
conclusionThrough the use of partial genome datasets, this study provides a unique perspective of sequence conservation across the three domains of life. The provision of taxon restricted sequences should prove valuable for future computational and biochemical analyses aimed at understanding evolutionary and functional relationships.
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