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Featured researches published by Sankar Subramanian.


Proceedings of the National Academy of Sciences of the United States of America | 2002

Mutation rates in mammalian genomes

Sudhir Kumar; Sankar Subramanian

Knowledge of the rate of point mutation is of fundamental importance, because mutations are a vital source of genetic novelty and a significant cause of human diseases. Currently, mutation rate is thought to vary many fold among genes within a genome and among lineages in mammals. We have conducted a computational analysis of 5,669 genes (17,208 sequences) from species representing major groups of placental mammals to characterize the extent of mutation rate differences among genes in a genome and among diverse mammalian lineages. We find that mutation rate is approximately constant per year and largely similar among genes. Similarity of mutation rates among lineages with vastly different generation lengths and physiological attributes points to a much greater contribution of replication-independent mutational processes to the overall mutation rate. Our results suggest that the average mammalian genome mutation rate is 2.2 × 10−9 per base pair per year, which provides further opportunities for estimating species and population divergence times by using molecular clocks.


BMC Genomics | 2006

Evolutionary anatomies of positions and types of disease-associated and neutral amino acid mutations in the human genome

Sankar Subramanian; Sudhir Kumar

BackgroundAmino acid mutations in a large number of human proteins are known to be associated with heritable genetic disease. These disease-associated mutations (DAMs) are known to occur predominantly in positions essential to the structure and function of the proteins. Here, we examine how the relative perpetuation and conservation of amino acid positions modulate the genome-wide patterns of 8,627 human disease-associated mutations (DAMs) reported in 541 genes. We compare these patterns with 5,308 non-synonymous Single Nucleotide Polymorphisms (nSNPs) in 2,592 genes from primary SNP resources.ResultsThe abundance of DAMs shows a negative relationship with the evolutionary rate of the amino acid positions harboring them. An opposite trend describes the distribution of nSNPs. DAMs are also preferentially found in the amino acid positions that are retained (or present) in multiple vertebrate species, whereas the nSNPs are over-abundant in the positions that have been lost (or absent) in the non-human vertebrates. These observations are consistent with the effect of purifying selection on natural variation, which also explains the existence of lower minor nSNP allele frequencies at highly-conserved amino acid positions. The biochemical severity of the inter-specific amino acid changes is also modulated by natural selection, with the fast-evolving positions containing more radical amino acid differences among species. Similarly, DAMs associated with early-onset diseases are more radical than those associated with the late-onset diseases. A small fraction of DAMs (10%) overlap with the amino acid differences between species within the same position, but are biochemically the most conservative group of amino acid differences in our datasets. Overlapping DAMs are found disproportionately in fast-evolving amino acid positions, which, along with the conservative nature of the amino acid changes, may have allowed some of them to escape natural selection until compensatory changes occur.ConclusionThe consistency and predictability of genome-wide patterns of disease- associated and neutral amino acid variants reported here underscores the importance of the consideration of evolutionary rates of amino acid positions in clinical and population genetic analyses aimed at understanding the nature and fate of disease-associated and neutral population variation. Establishing such general patterns is an early step in efforts to diagnose the pathogenic potentials of novel amino acid mutations.


Genetics | 2008

Nearly Neutrality and the Evolution of Codon Usage Bias in Eukaryotic Genomes

Sankar Subramanian

Here I show that the mean codon usage bias of a genome, and of the lowly expressed genes in a genome, is largely similar across eukaryotes ranging from unicellular protists to vertebrates. Conversely, this bias in housekeeping genes and in highly expressed genes has a remarkable inverse relationship with species generation time that varies by more than four orders of magnitude. The relevance of these results to the nearly neutral theory of molecular evolution is discussed.


Genetics | 2012

The Abundance of Deleterious Polymorphisms in Humans

Sankar Subramanian

Here I show a gradual decline in the proportion of deleterious nonsynonymous SNPs (nSNPs) from tip to root of the human population tree. This study reveals that up to 48% of nSNPs specific to a single genome are deleterious in nature, which underscores the abundance of deleterious polymorphisms in humans.


Molecular Biology and Evolution | 2003

Temporal Patterns of Fruit Fly (Drosophila) Evolution Revealed by Mutation Clocks

Koichiro Tamura; Sankar Subramanian; Sudhir Kumar


Virology | 2003

Genomic sequence of a ranavirus (family Iridoviridae) associated with salamander mortalities in North America.

James K. Jancovich; Jinghe Mao; V. Gregory Chinchar; Christopher Wyatt; Steven T. Case; Sudhir Kumar; Graziela Valente; Sankar Subramanian; Elizabeth W. Davidson; James P. Collins; Bertram L. Jacobs


Genome Research | 2003

Neutral Substitutions Occur at a Faster Rate in Exons Than in Noncoding DNA in Primate Genomes

Sankar Subramanian; Sudhir Kumar


Molecular Biology and Evolution | 2003

Patterns of Transitional Mutation Biases Within and Among Mammalian Genomes

Michael S. Rosenberg; Sankar Subramanian; Sudhir Kumar


Molecular Biology and Evolution | 2006

Signatures of Ecological Resource Availability in the Animal and Plant Proteomes

James J. Elser; William F. Fagan; Sankar Subramanian; Sudhir Kumar


Molecular Biology and Evolution | 2006

Higher Intensity of Purifying Selection on >90% of the Human Genes Revealed by the Intrinsic Replacement Mutation Rates

Sankar Subramanian; Sudhir Kumar

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Christopher Wyatt

University of Mississippi Medical Center

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