ArticleMolecular biology and evolution2012
Extreme conservation and non-neutral evolution of the cpmA Circadian locus in a globally distributed Chroococcidiopsis sp. from naturally stressful habitats.
Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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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4 citing papers in PubMed, 5 citations in OpenAlex.
- Diel-scale temporal dynamics recorded for bacterial groups in Namib Desert soil.Scientific reports · 2017Article
- Mutational Studies of Putative Biosynthetic Genes for the Cyanobacterial Sunscreen Scytonemin in Nostoc punctiforme ATCC 29133.Frontiers in microbiology · 2016Article
- Functional ecology of an Antarctic Dry Valley.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Patterns of nucleotide diversity of the ldpA circadian gene in closely related species of cyanobacteria from extreme cold deserts.Applied and environmental microbiology · 2013Article
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2 authors at 1 institution in 1 country.
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Abstract
Cyanobacteria are among the most ancient organisms known to have circadian rhythms. The cpmA gene is involved in controlling the circadian output signal. We studied polymorphism and divergence of this gene in six populations of a stress-tolerant cyanobacterium, Chroococcidiopsis sp., sampled in extreme habitats across the globe. Despite high haplotype diversity (0.774), nucleotide diversity of cpmA is very low (π = 0.0034): the gene appears to be even more conserved than housekeeping genes. Even though the populations were sampled thousands kilometers apart, they manifested virtually no genetic differentiation at this locus (F(ST) = 0.0228). Using various tests for neutrality, we determined that evolution of cpmA significantly departures from the neutral model and is governed by episodic positive selection.
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