2007
DOI: 10.1504/ijbra.2007.015418
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Evolutionary selective pressure on three mitochondrial SNPs is consistent with their influence on metabolic efficiency in Pima Indians

Abstract: Abstract:We investigated three single nucleotide polymorphisms (SNPs) in the mitochondrial sub-haplogroups of the Pima Indians to determine the effect of selection on each SNP and on metabolic efficiency. The SNPs are within genes encoding proteins in electron transport and oxidative phosphorylation, and may affect the efficiency of energy metabolism, including resting metabolic rate (RMR) and respiratory quotient (RQ). They may be adaptations toward an energy-efficient metabolism when this population migrated… Show more

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Cited by 6 publications
(10 citation statements)
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“…These sequences were aligned and used for phylogenetic analysis (Supplementary Figure S1). The cytb gene sequences for the 107 mammalian species and the phylogenetic tree created from all 13 mtDNA genes were used as input for TreeSAAP as in Chamala et al [26].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…These sequences were aligned and used for phylogenetic analysis (Supplementary Figure S1). The cytb gene sequences for the 107 mammalian species and the phylogenetic tree created from all 13 mtDNA genes were used as input for TreeSAAP as in Chamala et al [26].…”
Section: Methodsmentioning
confidence: 99%
“…When a SNP fails to share characteristics with the historical adaptations of the group, that SNP is more likely have a detrimental effect. Conversely, if a SNP has much in common with the adaptations of the group, that SNP may have a similar adaptive effect [26].…”
Section: Methodsmentioning
confidence: 99%
“…We used the algorithm implemented in TreeSAAP (selection on amino acid properties) (Woolley et al 2003) to identify significant amino acid changes within cox genes of the genus Ochotona. Ascertaining positive selection using physicochemical amino acid properties, such as in TreeSAAP, is a much more sensitive approach and allows individual amino acid changes and their effects on protein characteristics to be assessed (Chamala et al 2007). TreeSAAP compares the observed distribution of amino acid changes inferred from a phylogenetic tree with a random distribution of amino acid changes under neutral conditions.…”
Section: Tests Of Selectionmentioning
confidence: 99%
“…We made alignments 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 for each of these 3 genes using Geneious 7.1.4. In combination with the phylogenetic tree created by Chamala et al (2007) (Fig. S1), we analyzed alignments using TreeSAAP in the same way as described above.…”
Section: In Context Of Mammalian Evolutionmentioning
confidence: 99%
“…The use of amino acid properties results in a high degree of resolution that is more sensitive than the dN/dS approach [12], [16], and allows for the detailed diagnosis of individual amino acid changes in the context of the structure and function of proteins [1]. This alternative approach for detecting selection also exhibits great promise as a tool in the area of biomedical research [4], [14], [10].…”
Section: Introductionmentioning
confidence: 99%