2005
DOI: 10.1007/s00239-004-0153-1
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Detecting Site-Specific Physicochemical Selective Pressures: Applications to the Class I HLA of the Human Major Histocompatibility Complex and the SRK of the Plant Sporophytic Self-Incompatibility System

Abstract: Models of codon substitution are developed that incorporate physicochemical properties of amino acids. When amino acid sites are inferred to be under positive selection, these models suggest the nature and extent of the physicochemical properties selected for. This is accomplished by first partitioning the codons based on some property of the amino acids they code for, and then using this partition to parametrize the rates of property-conserving and property-altering base substitutions at the codon level by me… Show more

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Cited by 72 publications
(81 citation statements)
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“…This approach calculates posterior probabilities of positive selection (as determined from the ratio of nonsynonymous substitution per nonsynonymous site to synonymous substitution per synonymous site) for individual codons, using an empirical Bayesian approach. The maximum-likelihood tree topology for the Lal2 sequences was first obtained using the branch-andbound algorithm as implemented in PAUP for the Kimura twoparameter model (Kimura 1980;Swofford 2002), and the selection analysis was conducted using the CODEML program of Yang (1997), as decribed by Sainudiin et al (2005). The number of Lal2 sequences available to us for analysis (10 sequences) was much smaller than those analyzed by Sainudiin et al (2005), who used the same method to detect specific classes of positive selection (e.g., polar-or volume-changing amino acid substitutions) in SRK sequences of Brassica and Arabidopsis.…”
Section: Methodsmentioning
confidence: 99%
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“…This approach calculates posterior probabilities of positive selection (as determined from the ratio of nonsynonymous substitution per nonsynonymous site to synonymous substitution per synonymous site) for individual codons, using an empirical Bayesian approach. The maximum-likelihood tree topology for the Lal2 sequences was first obtained using the branch-andbound algorithm as implemented in PAUP for the Kimura twoparameter model (Kimura 1980;Swofford 2002), and the selection analysis was conducted using the CODEML program of Yang (1997), as decribed by Sainudiin et al (2005). The number of Lal2 sequences available to us for analysis (10 sequences) was much smaller than those analyzed by Sainudiin et al (2005), who used the same method to detect specific classes of positive selection (e.g., polar-or volume-changing amino acid substitutions) in SRK sequences of Brassica and Arabidopsis.…”
Section: Methodsmentioning
confidence: 99%
“…The Lal2 sequences were examined for evidence of balancing selection and, in particular, evidence of ''hypervariable'' regions that have been proposed to harbor sites controlling S-allele recognition (Sainudiin et al 2005). Figure 5 shows a sliding-window analysis of nucleotide variability calculated for the alignment of long Lal2 sequences with alleles of SRK sampled in Arabidopsis and class I alleles in Brassica.…”
Section: Cross-incompatibility and Interactions Among Inferred S-allementioning
confidence: 99%
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“…8). The variability in this ''linker'' region among SRK variants (19,20) suggests that the exact spacing of LLD1 and LLD2 is not critical for SRK function.…”
Section: Identification Of Structural Modules Within Esrk By Homologymentioning
confidence: 99%
“…The eSRK PAN APPLE domain is contained within the so-called C-terminal variable region (VR) (19,20), which is one of four regions that exhibit extensive variability among SRK alleles (SI Fig. 8).…”
Section: Identification Of Ligand-independent Dimerization Domains Inmentioning
confidence: 99%