- Research article
- Open Access
Adaptive evolution of multiple-variable exons and structural diversity of drug-metabolizing enzymes
© Li and Wu; licensee BioMed Central Ltd. 2007
Received: 26 February 2007
Accepted: 02 May 2007
Published: 02 May 2007
The human genome contains a large number of gene clusters with multiple-variable-first exons, including the drug-metabolizing UDP glucuronosyltransferase (UGT1) and I-branching β-1,6-N-acetylglucosaminyltransferase (GCNT2, also known as IGNT) clusters, organized in a tandem array, similar to that of the protocadherin (PCDH), immunoglobulin (IG), and T-cell receptor (TCR) clusters. To gain insight into the evolutionary processes that may have shaped their diversity, we performed comprehensive comparative analyses for vertebrate multiple-variable-first-exon clusters.
We found that there are species-specific variable-exon duplications and mutations in the vertebrate Ugt1, Gcnt2, and Ugt2a clusters and that their variable and constant genomic organizations are conserved and vertebrate-specific. In addition, analyzing the complete repertoires of closely-related Ugt2 clusters in humans, mice, and rats revealed extensive lineage-specific duplications. In contrast to the Pcdh gene clusters, gene conversion does not play a predominant role in the evolution of the vertebrate Ugt1, Gcnt2 and Ugt2 gene clusters. Thus, their tremendous diversity is achieved through "birth-and-death" evolution. Comparative analyses and homologous modeling demonstrated that vertebrate UGT proteins have similar three-dimensional structures each with N-terminal and C-terminal Rossmann-fold domains binding acceptor and donor substrates, respectively. Molecular docking experiments identified key residues in donor and acceptor recognition and provided insight into the catalytic mechanism of UGT glucuronidation, suggesting the human UGT1A1 residue histidine 39 (H39) as a general base and the residue aspartic acid 151 (D151) as an important electron-transfer helper. In addition, we identified four hypervariable regions in the N-terminal Rossmann domain that form an acceptor-binding pocket. Finally, analyzing patterns of nonsynonymous and synonymous nucleotide substitutions identified codon sites that are subject to positive Darwinian selection at the molecular level. These diversified residues likely play an important role in recognition of myriad xenobiotics and endobiotics.
Our results suggest that enormous diversity of vertebrate multiple variable first exons is achieved through birth-and-death evolution and that adaptive evolution of specific codon sites enhances vertebrate UGT diversity for defense against environmental agents. Our results also have interesting implications regarding the staggering molecular diversity required for chemical detoxification and drug clearance.
Alternative splicing is one of the most important mechanisms to generate molecular diversity in vertebrates. A large number of alternatively spliced genes that have multiple"variable" first exons have been identified in the human genome, including protocadherin (PCDH), UDP-glucuronosyltransferase (UGT), plectin (PLEC1), neuronal nitric oxide synthase (NOS1), and glucocorticoid receptor (GR) genes . In particular, the closely-linked vertebrate Pcdh α and γ clusters have a striking genomic organization each containing more than a dozen variable first exons and three downstream "constant" exons [2–7]. Alternative splicing of each variable exon to the common set of constant exons generates diverse functional mRNA molecules that encode a large number of cadherin-like cell-surface proteins in the central nervous system (CNS). Comparative analyses suggest that gene duplication, gene conversion, and variable exon mutation play important roles in vertebrate Pcdh evolution [3–5]. In addition, adaptive selection of specific residues in the ectodomains enhances mammalian Pcdh diversity . Combinatorial interactions between these Pcdh proteins contribute to the establishment and maintenance of trillions of diverse yet very specific neuronal connections in the vertebrate CNS.
In the vertebrate adaptive immune system, the immunoglobulin (Ig), T-cell receptor (Tcr), and major histocompatibility complex (Mhc) gene clusters provide the enormous diversity required for immune defense. The Ig and Tcr clusters are organized into variable and constant regions. Gene duplications and somatic DNA rearrangements generate tremendous diversity for mammalian Ig and Tcr molecules. Moreover, positive natural selection operates on the complementarity-determining regions (CDRs) of the IG and TCR proteins to increase their diversity [8–11]. The Mhc genes are also clustered. The encoded MHC proteins (both class I and II human HLA molecules) have a deep peptide-binding groove formed by a β-sheet bottom floor and two α-helix side walls [12, 13]. Each MHC protein can bind a large set of different peptides. In addition, most of the polymorphic residues on the β-sheet floor and two α-helix side walls point towards the peptide-binding groove and serve as ligands for numerous processed antigens [14–16]. Finally, diversity-enhancing overdominant selection operates on the antigen-binding sites of both class I and II MHC proteins enabling them to recognize diverse processed antigens [11, 17, 18]. Vertebrate animals evolved these three gene families through birth-and-death evolution of repeated duplication and mutation, in conjunction with positive selection, to remove a staggering number of different foreign antigens in a highly specific fashion [11, 19].
Vertebrate animals also remove hundreds of thousands xeno- and endobiotic lipophilic compounds from their bodies by converting them to water-soluble glucuronides through glucuronidation . This detoxification pathway converts lipophilic aglycones to hydrophilic molecules and facilitates their excretion from the body. Glucuronidation is catalyzed by members of the UGT glucuronosyltransferase proteins in the endoplasmic reticulum (ER) [21, 22]. Vertebrate UGT proteins belong to a large supergene family of ubiquitous glycosyltransferases (GT)  (currently >10,000, classified into 87 subfamilies). Diverse members of the GT superfamily are noted for their low sequence similarity but, surprisingly, belong to only two structural folds (GT-A and GT-B) .
Glucuronidation is also an important pathway for biotransformation and clearance of drugs, such as colorectal cancer drug irinotecan [25–27]. Genetic polymorphisms or mutations in human UGT genes have profound impacts on hyperbilirubinemia, drug metabolism, and cancer treatment [20, 27–29]. For example, mutations of the human UGT1A1 gene cause genetic diseases with phenotypes ranging from mild jaundice to lethal kernicterus [20, 28, 30, 31].
The role of the UGT genes in metabolizing myriad xeno- and endobiotic compounds suggests that natural selection may have played an important role in shaping their variation; however, the effects selection might have on such unusual genomic structures are unclear. To gain insight into the evolution of multiple variable first exons, we annotated the complete vertebrate Ugt1, Gcnt2, and Ugt2a repertoires and identified 65 (for mRNA and protein sequences see Additional file 1), 16 (Additional file 2), and 16 (Additional file 3) new genes, respectively. Phylogenetic analyses on these clusters revealed lineage-specific duplications of variable exons and conservation of constant exons. Our results suggest that functional diversity of these clusters is achieved through the birth-and-death evolution of variable exon duplication, divergence, and deletion, but conservation of the constant exons, which are essential in maintaining their basic functions. In addition, analyzing the complete repertoires of closely-related Ugt2b clusters in humans, mice, and rats identified a new rat Ugt2b gene (designated Ugt2b39; Additional file 3) and revealed extensive lineage-specific duplications.
To gain insight into the catalytic mechanisms of glucuronidation by diverse UGT glucuronosyltransferases, we sought evidence for structural features in donor and acceptor recognition by combined comparative analysis and homologous modeling . We built the first three-dimensional (3D) structure model of the vertebrate UGT proteins based on sequence analyses of 91 UGT1 and 35 UGT2 GT-B proteins, and the known crystal structures of the non-vertebrate GT-B glycosyltransferases. Molecular docking of donor and acceptor ligands to the human UGT1A1 structure shed light on the specificity of the donor recognition and diversity of acceptor bindings. In particular, we identified four hypervariable regions within the N-terminal domain that form a potential acceptor-binding pocket. We also identified Ugt codon sites that may have been subject to Darwinian positive selection during vertebrate evolution by analyzing patterns of nucleotide (nt) substitutions at individual codon sites. Interestingly, the diversified residues in the four hypervariable regions map to an acceptor-binding pocket. These residues likely contribute to the required specificity for binding numerous hydrophobic small molecules. These results suggest that adaptive natural selection of specific codon sites plays an important role for enhancing UGT diversity. In summary, our results provide insight into the evolution of multiple variable exons and structural diversity of UGT proteins required for the removal of numerous xenobiotic compounds and endogenous metabolites.
Results and Discussion
The vertebrate Ugt1 gene cluster
We analyzed Ugt1 locus in a set of diverse vertebrate species including primates, non-primate mammals, birds, and fish (Fig. 1 and Additional file 1). Chimpanzees are the closest living relatives of humans, and their genomic sequences are highly similar to those of humans. We found that two Ugt1 genes differ between humans and chimpanzees (Fig. 1A and 1B) although these species only diverged as recently as several million years ago . The chimpanzee Ugt1a2 has a complete open reading frame suggesting being a functional gene while the human UGT1A2 has a single-nt deletion at coding position 127 causing a frameshift. In contrast, the human UGT1A5 is a functional gene while the chimpanzee Ugt1a5 appears to be a pseudogene because its sequences have a single-nt deletion at coding position 704. This frameshift deletion is confirmed by more than 10 different sequence reads.
We also annotated the rhesus monkey and baboon Ugt1 clusters (Fig. 1C and 1D). The Ugt1 clusters in these two old-world-monkey species contain one more functional variable exon than the human and chimpanzee Ugt1 clusters. Specifically, the bilirubin group (Ugt1 a1-a5) is expanded in these two species. Compared with humans and chimpanzees, the Ugt1a5 appears to have been duplicated to Ugt1a5a and Ugt1a5b in both rhesus monkey and baboon (Fig. 1C and 1D). The functional duplication of Ugt1a5 in baboon has also been reported in a very recent publication . However, the Ugt1a5b has been mutated to a pseudogene in rhesus monkey because its sequences have a single-nt insertion in the coding region (Fig. 1C). In addition, the Ugt1a3 has been mutated to a pseudogene in both rhesus monkey and baboon. Finally, the rhesus monkey Ugt1a4 variable exon appears to have been duplicated to Ugt1a4a and Ugt1a4b (Fig. 1C). Similarly, the baboon Ugt1a2 variable exon has also been duplicated; however, one duplicated copy has been mutated to a pseudogene Ugt1a2b (Fig. 1D). Interestingly, the rhesus monkey Ugt1a7 in the whole-genome-shotgun traces has no stop codon mutation; however, the Ugt1a7 in the finished BAC clone (Accession No. AC171066.4) has a stop codon at coding position 670. This observation suggests that Ugt1a7 has both functional and nonfunctional alleles segregating in the rhesus monkey population.
Dogs belong to the order Carnivora within the Laurasiatheria clade of mammals; while primates and rodents belong to the Euarchontoglire clade . Dogs diverged from humans at about 94 million years ago while rodents diverged from primates at about 85 million years ago. The dog Ugt1 cluster contains 10 functional variable exons (Fig. 1E). Members of the dog Ugt1 cluster can also be divided into the bilirubin and phenol groups. Compared with the primate Ugt1 cluster, the genomic region of the dog Ugt1 cluster is about 50 kb smaller (Fig. 1E).
The chicken separated from mammals about 310 million years ago . Similar to the mammalian Ugt1 clusters, the chicken Ugt1 cluster is also organized into variable and constant regions and it has 14 variable exons arrayed in tandem, including one with frameshift mutations (Fig. 1F). Members of the chicken Ugt1 cluster can also be separated into bilirubin and phenol groups. The genomic region of the chicken Ugt1 cluster is much smaller than that of mammals (Fig. 1F).
The zebrafish has supernumerary Pcdh genes organized into two duplicated clusters [4, 5, 7]. Consistent with whole genome duplications in the teleost fish species and similar to the duplication of the zebrafish Pcdh clusters [4, 5, 7], the zebrafish Ugt1 cluster has been duplicated into the Ugt1 a and b clusters each organized into variable and constant regions (Fig. 1G). In contrast to the vast expansion of the zebrafish Pcdh variable regions compared with mammals, the zebrafish Ugt1a and Ugt1b variable regions have not expanded. Specifically, compared with about a dozen Ugt1 variable exons in mammals, the zebrafish Ugt1a cluster only has seven functional variable exons, while the zebrafish Ugt1b cluster has only six functional variable exons (Fig. 1G). In total, we identified 13 novel zebrafish Ugt1 variable exons. Both zebrafish Ugt1a and Ugt1b clusters span a region of about 35 kb genomic sequences, much smaller than other vertebrate species analyzed.
The constant regions of mammalian, avian, and fish Ugt1 clusters are highly conserved and each contain 4 constant exons (Fig. 1). The length of each constant exon is identical among all vertebrate species except that the fourth constant exons are slightly smaller in frogs and zebrafish, encoding shorter polypeptides (Additional file 4). The two zebrafish constant sequences are highly similar with a 70% identity at the nt level and a 78% similarity at the polypeptide level. This observation strongly suggests that the two zebrafish Ugt1 clusters are duplicated from a single ancestral cluster. The polypeptides encoded by constant regions are highly conserved in vertebrates (Additional file 4).
Evolutionary relationship among members of the vertebrate Ugt1 clusters
The mammalian and avian Ugt1 clusters can be divided into two major groups (constant-proximal bilirubin group and constant-distal phenol group) (Fig. 1). These groups each have a long major branch while members within each group have relatively shorter secondary branches in the phylogenetic tree, suggesting that members within each group were duplicated recently (Fig. 2). The human, chimpanzee, baboon, rhesus monkey, and dog Ugt1a1 is orthologous. However, there is no obvious orthologous Ugt1a1 in the chicken Ugt1 cluster, suggesting that the specialization of bilirubin glucuronidation by Ugt1a1 occurs after the divergence of mammals and birds. Interestingly, the mammalian Ugt1a6 is orthologous and is remotely similar to three avian Ugt1 variable exons (a4, a8, and a9). This observation indicates that Ugt1a6 is more ancient than other Ugt1 members.
Members of the zebrafish Ugt1 clusters do not display orthologous relationships to those of the mammalian and avian Ugt1 clusters. Instead, they display paralogous relationships in one major branch of the phylogenetic tree (Fig. 2). They can be divided into three subgroups: subgroup 1 includes z1a1, z1a3, and z1b1, subgroup 2 includes z1b2-b7, and subgroup 3 includes z1a2 and z1a4-a7. The zebrafish Ugt1 a and b variable exons and the corresponding constant exons seem to have resulted from a duplication of an ancestral one-variable Ugt1 gene. Subsequently, the variable exons in each cluster are duplicated multiple rounds. For example, the zebrafish Ugt1 a1 and a2, and a3 and a4 seem to be duplicated from an ancestral two-variable-exon unit because a1 and a3, and a2 and a4 share more sequence similarity, respectively. However, other zebrafish Ugt1 a and b variable exons seem to be duplicated in tandem because neighboring ones are more similar to each other.
Gene conversion plays an important role in the evolution of supergene families. Tandem gene arrays are often subject to sequence homogenization through gene conversion. For example, tandem arrayed Pcdh variable exons undergo strikingly predominant gene conversion events, especially among physically close exons . To determine whether gene conversion played a similar prominent role in the evolution of vertebrate Ugt1 clusters, we used the Geneconv program  to search for gene conversion events among Ugt1 variable exons. Surprisingly, we did not find prevalent gene conversion events in the vertebrate Ugt1 clusters, except in the dog Ugt1 locus where gene conversion events have occurred in the phenol subgroup (Ugt1 a7-a11) (Additional file 6). Consistently, no gene conversion event was detected between any two functional baboon genes . This observation suggests that, in striking contrast to the Pcdh clusters, concerted evolution does not play a predominant role in the evolvement of the vertebrate Ugt1 cluster.
The organization and evolution of the vertebrate Gcnt2 cluster
The vertebrate Gcnt2 variable exons are about the same length and are very similar to each other. The encoded polypeptides are highly conserved (Additional file 7). Each Gcnt2 variable domain has a hydrophobic transmembrane segment close to the N-terminal (Additional file 7). They also contain six cysteine residues that are identical among all GCNT2 proteins (Additional file 7). An evolutionary tree was built according to the variable GCNT2 polypeptides (Additional file 8). The three Gcnt2 variable exons display orthologous relationships among all eutherian mammals. Interestingly, the two opossum Gcnt2 variable exons display a paralogous relationship and appear to be more similar to the eutherian Gcnt2b variable exons. The two chicken and frog Gcnt2 variable exons also display paralogous relationships and are divergent from the mammalian Gcnt2 variable exons. The single zebrafish Gcnt2 variable exon appears most closely related to the frog Gcnt2 variable exons. This result supports the hypothesis that the Gcnt2 variable exons have expanded in tetrapods through tandem duplications during vertebrate evolution. The genomic organization of the Gcnt2 constant region is highly conserved in vertebrates (Fig. 3). For example, the first constant exons of vertebrate Gcnt2 cluster are all 93 nts in length except in mice, frogs, and zebrafish, which are 96, 90, and 96 nts, respectively. The encoded constant protein sequences are conserved and have three identical cysteine residues (Additional file 9).
The vertebrate Ugt2 cluster
We previously identified more than three thousand human genes with multiple first exons through a genome-wide computational analysis; however, only the first exons of the PCDH and GCNT2 clusters are highly similar . We have noted that the genomic organization of the human UGT2A cluster  is also similar to that of the UGT1, PCDH, and GCNT2 clusters. In particular, the C-terminal domains of the human UGT2A proteins are identical and are encoded by a set of five constant exons; by contrast, the N-terminal domains are similar and each is encoded by a single variable exon. However, in contrast to the human UGT1 cluster, the human UGT2A cluster only contains two variable exons which share 64% nt sequence identity. The variable and constant organizations of the Ugt2a cluster are conserved in human, mouse, and rat genomes (Additional file 10, panels A, B, and C). For example, the human, mouse and rat Ugt2a variable exons are similar and of the same length. We annotated the Ugt2a clusters in several additional mammalian species (Additional file 3) and found that the Ugt2a organization of two variable exons and five constant exons is conserved.
In contrast to the expansion of the mammalian Ugt1 clusters compared with zebrafish (Fig. 1), we found that the variable region of the zebrafish Ugt2a cluster is expanded in comparison to the mammalian variable regions and contains 4 novel variable exons (Additional files 3 and 10). Phylogenetic analysis demonstrates that the mammalian Ugt2 a1 and a2 variable exons display a strict orthologous relationship (Additional file 11). However, there is no orthologous relationship between mammalian and zebrafish Ugt2a variable exons. The four zebrafish Ugt2a variable exons appear to be duplicated in tandem, with the Ugt2 a3 and a4 duplicated most recently (Additional file 11). Multiple sequence alignment demonstrates that all vertebrate Ugt2a variable protein sequences are highly similar (Additional file 12). Like the constant region of the mammalian Ugt2a cluster, the zebrafish Ugt2a constant region contains 5 exons, which are highly similar to those of mammals. In particular, the sizes of constant exons 1 to 4 are identical between zebrafish and mammals, respectively. The zebrafish Ugt2a constant exon 5 coding region is 18 nts longer than the corresponding mammalian Ugt2a constant exon (Additional file 10, panels D and E). The polypeptides encoded by Ugt2a constant region are highly conserved in vertebrates (Additional file 13).
We performed a comprehensive analysis of the closely-related human, mouse, and rat Ugt2b genes and found one novel rat Ugt2b gene, designated Ugt2b39 (Additional file 10, panel C). The human, mouse, and rat Ugt2b genes are also clustered and are located very close to the Ugt2a cluster [21, 33]. However, the genomic organizations of the human, mouse, and rat Ugt2b genes are different from the Ugt2a genes in that the Ugt2b genes do not share common constant exons. Each member of the Ugt2b cluster is an independent gene and contains six exons (Additional file 10). All corresponding exons are highly similar among members of the Ugt2b cluster. Their exon lengths are also identical among different mammalian species. The encoded UGT2B proteins are highly conserved among humans, mice, and rats. The transcription directions are the same for all members of the rat Ugt2b cluster, and are also the same for members of the rat Ugt2a genes. However, the transcription directions for members of the Ugt2b cluster are not the same in the human and mouse genomes (Additional file 10).
The evolutionary relationships of the Ugt2b genes are shown as an unrooted phylogenetic tree (Additional file 14). The human UGT2B genes display paralogous relationships while members of the mouse and rat Ugt2b clusters display both paralogous and orthologous relationships. For example, the mouse Ugt2b1 and Ugt2b34 appears to be orthologous to the rat Ugt2b1 and Ugt2b34, respectively. However, the rat Ugt2b39 and Ugt2b34 genes appear to be duplicated from an ancestral gene because they are very similar and are also located next to each other (Additional file 10). The other mouse and rat Ugt2b genes do not have orthologous relationships. The phylogenetic tree suggests that most human, mouse, and rat Ugt2b genes are duplicated after speciation (Additional file 14).
In summary, we analyzed the Ugt1 loci in chimpanzee, rhesus monkey, baboon, dog, chicken, and zebrafish, and identified 65 new vertebrate Ugt1 genes (Additional file 1). Phylogenetic analysis demonstrated that the avian and mammalian Ugt1 variable regions are expanded compared to zebrafish (Figs. 1 and 2). We also performed a comprehensive analysis of the vertebrate Gcnt2 cluster and identified 16 new Gcnt2 genes (Additional file 2), and found that the variable region of the Gcnt2 cluster is also expanded during vertebrate evolution (Fig. 3). Finally, we analyzed the vertebrate Ugt2 repertoires and found that, in contrast to Ugt1 and Gcnt2 clusters, the zebrafish Ugt2a variable region has been expanded compared with mammals (Additional file 10). These results suggest that these vertebrate variable exons are subject to lineage-specific birth-and-death evolution.
Structure modeling of the vertebrate UGT proteins
Our modeled 3D structure is consistent with that the vertebrate UGT proteins belong to the GT-B superfamily of the inverting glycosyltransferases [22, 24]. Each modeled vertebrate UGT protein consists of two domains with similar core structure of Rossmann folds . As an example, the modeled 3D structure of the human UGT1A1 protein is shown in Figure 4B. The N-terminal acceptor-binding domains of UGT1 proteins are each encoded by highly-similar variable exons in all vertebrate species (Fig. 1). The C-terminal donor-binding domains of UGT1 proteins are identical in each species and are encoded by four constant exons (Fig. 1). For UGT2 proteins, the acceptor-binding domains are encoded by first two exons which correspond to a single Ugt1 variable exon, and the donor-binding domains are encoded by the last four exons . The C-terminal domains of all vertebrate UGT proteins are highly conserved and assumed to bind the donor UDPGA .
The N-terminal acceptor-binding domain of the modeled human UGT1A1 contains a central seven-parallel-strand β-pleated sheet with a topological arrangement of β3, β2, β1, β4, β5, β6, β7 (Fig. 4B). This core β sheet is flanked by 8 α helices. The first three β strands are connected by two α helices (arranged in α2 and α1 orientation) on the same side of the β sheet as the Nα7 helix, which is from the C-terminal sequences but is located below the last four β strands in the N-terminal domain. The other side of the core β sheet contains five helices with a topological arrangement of α3, α4, α5b, α5, α6. Similar to the structure of UGT71G1, there is a small two-stranded β sheet following the Nα5 helix. In contrast to the structure of UGT71G1, there is a flexible loop and a small predicted α helix following the Nα3 helix (Fig. 4B). This segment is predicted to have different conformations among different human UGT proteins.
The C-terminal donor-binding domain contains a central six-parallel-strand β-pleated sheet with a topology arrangement of β3, β2, β1, β4, β5, β6 (Fig. 4B). This β sheet core is flanked by 7 α helices with a topological arrangement of α0, α3, α4, α5 at one side of the β sheet and α1 and α6 at the other side of the β sheet, and α7 at the bottom. In contrast to UGT71G1, the human UGT1A1 does not appear to have the Cα2 helix. The last C-terminal α helix (Nα7) is located at the bottom of the N-terminal domain. The two loops between Nβ7 and Cα0 and between Cα7 and Nα7 connect the N-terminal and C-terminal domains (Fig. 4B).
Interactions between UGT proteins and the donor substrate
The donor substrate UDPGA for vertebrate UGT enzymes is predicted in our 3D model to bind in a long narrow channel mainly in the C-terminal Rossmann-fold domain (Fig. 4B and 4C). In particular, the donor sits in a groove formed by the N-terminal half of the Cα3 and Cα4, and the C-terminal half of the Cβ4 and Cβ5. In the modeled donor-UGT1A1 complex, the uracil ring of UDPGA interacts with the side chain of R336 and the main chain of L355 and Q357 through hydrogen bonds, and also forms parallel stacking interaction with the indole ring of W354 of the human UGT1A1. The ribose ring of UDPGA interacts with the side chain of Q357, N358, and E380 through hydrogen bonds. The α-phosphate forms hydrogen bonds with the side chain of S38 and H372 and the main chain of H376 and G377, while the β-phosphate interacts with the side chain of S38 and H372 and the main chain of S309 and G37. Finally, the glucuronic acid moiety interacts with the side chain and main chain of D396, the main chain of S375, and the side chain of Q397 through hydrogen bonds (Fig. 4C). Overall, the donor binding mode is similar to that observed in the complex of donor substrates with the GtfB, GtfD, MurG, and UGT71G1 proteins [43, 45–47]. In addition, this model of the donor recognition is consistent with the crucial role of the human UGT1A6 histidine, arginine, aspartic, and glutamic residues as demonstrated by chemical modification and site-directed mutagenesis experiments .
UGT proteins use UDPGA as a specific donor substrate . In our modeled UDPGA UGT1A1 complex, the side chains of D396 and Q397 interact with the glucuronic acid moiety. These two residues may play an important role in the specific recognition of donor molecule by the UGT proteins. Consistently, Q397 is conserved in all vertebrate UGT1 and UGT2 proteins (Fig. 5). Similarly, D396 is conserved in all vertebrate UGT1 proteins and all human UGT2 proteins. It is also conserved in mouse and rat UGT2 proteins with a few replaced by a glutamic residue.
Missense mutations of human UGT1A1 cause hyperbilirubinemia, including type I and II Crigler-Najjar syndromes (CN-I, OMIM no. 218800 and CN-II, OMIM no. 606785) and the Gilbert syndrome (OMIM no. 143500) [20, 28, 30]. Point mutations with amino acid substitutions A292V (referred as A291V in ), G308E , R336W , R336Q , Q357R , A368T , I370V , S375F (referred as S376F in ), S381R , P387R , P387S , G395V , or A401P  cause the CN-I disease (Fig. 5). Moreover, the missense substitutions I294T , M310V , Q331R , R336L , W354R , H376R (referred as H377R in ), G377V , N400D  or R403C  cause the CN-II disease (Fig. 5). Finally, point mutations of P364L , or R367G [60, 61] cause the Gilbert syndrome (Fig. 5). These mutations are in the positions of highly conserved residues (with exception of only A292) in the donor-binding region (Figs. 4 and 5). In particular, the residues G308, M310, R336, W354, Q357, S375, H376, G377, S381, G395, N400, and A401 are located very close to the donor in the modeled 3D structure of human UGT1A1 protein (Figs. 4C and 5). Their mutations may interfere with the donor binding, thus abolishing or decreasing the bilirubin glucuronidation activity of the human UGT1A1 protein and cause hyperbilirubinemia.
The UGT acceptor-binding site
We modeled the bilirubin binding using the molecular docking software GOLD . The ridge-tile conformation of bilirubin is docked into the hydrophobic pocket with the ridge apposing the donor molecule in the C-terminal domain, and the porphyrin ring A in the one end and the porphyrin ring D in the other end of the N-terminal acceptor pocket (Fig. 6B). The propionate side groups are in the middle and close to the glucuronic acid moiety of the donor molecules. Consistent with two glucuronidation sites in bilirubin through esterification of its two propionate side groups on the porphyrin rings B and C, there are two conformations that the bilirubin docked in the acceptor pocket (Fig. 6B), with each propionate side group docked close to the glucuronic acid moiety of the donor and the highly conserved catalytic residue H39. There is a small tilt between the two bilirubin docking conformations. The acceptor-binding pocket is much larger and longer than bilirubin, and bilirubin can be fit easily into the pocket with one of its two propionate OH groups located at about 3 angstrom (Å) from the NE2 atom of the H39 residue (Fig. 6C).
Missense mutations of P34Q , H39D , W40R , G71R , F83L , L131P (referred as L132P in ), C156R , L175Q , C177R , C177Y , Q185P , R209W [67, 68], V225G (referred as V224G in [28, 69]), P229Q [60, 61], and G276R  in human UGT1A1 protein cause hyperbilirubinemia (Fig. 7). The P34, H39, and W40 residues are located in the acceptor-binding pocket and are also close to the donor substrate (Figs. 4, 6, and 7). The other mutated residues are mostly located in the four major hypervariable regions that form the acceptor-binding pocket. Therefore, these mutations may interfere with the binding of bilirubin to human UGT1A1 and abolish or decrease its bilirubin glucuronidating activity, consistent with the hyperbilirubinemia phenotypes. Interestingly, the UGT1A1 G71R mutation is almost exclusively found in Asians and has recently been shown to associate with severe cancer drug (i.e. irinotecan) toxicity , consistent with the altered acceptor recognition.
Catalytic mechanism of vertebrate UGT glucuronidation
Vertebrate UGT proteins belong to the GT-B inverting glycosyltransferase supergene family (Fig. 4) [22, 24]. However, little is known about their catalytic mechanisms. In our modeled human UGT1A1 structure with the donor UDPGA and acceptor bilirubin substrates, the NE2 atom of the H39 residue lies in the middle of the potential acceptor pocket and is close to both the OH group of the bilirubin propionate side group (~3.32 Å) and the C1' atom of UDPGA (~2.73 Å), suggesting a general SN2 catalytic mechanism for glucuronidation reactions (Fig. 6C).
We propose that the H39 of human UGT1A1 acts as a general base to abstract a proton from the OH group of the bilirubin propionate, based on the crystal structures of other GT-B enzymes [46, 47]. A direct attack by the resulting nucleophilic oxyanion at the C1' atom of UDPGA would then displace the UDP moiety. Consistent with the essential role of H39, it is highly conserved in vertebrate UGT proteins (Fig. 7). In addition, an H39D mutation in human UGT1A1 gene causes CN-I disease , consistent with the complete abolishment of the catalytic activity for bilirubin glucuronidation (Fig. 7).
In the modeled human UGT1A1 structure, there is an acidic D151 residue close to H39 that may form an electron transfer chain to help H39 deprotonate the OH group of the acceptor molecule (Fig. 6C). This aspartic acid residue is also highly conserved in vertebrate UGT proteins in agreement with its essential role in catalysis (Fig. 7). Thus, our modeled human UGT1A1 3D structure is consistent with genetic mutation data and provides a foundation for understanding the catalytic mechanism of vertebrate glucuronidation.
Diversifying selection of vertebrate Ugt clusters
Enormous molecular diversity is required for the immune and nervous system function. In the adaptive immune system, positive molecular selection operates to increase the diversity of the Ig, Mhc, and Tcr genes [8, 9, 11, 17, 18, 70]. In the CNS, adaptive molecular selection also operates to enhance the diversity of the Pcdh and olfactory receptor gene clusters [5, 11, 71]. Human UGT proteins glucuronidate numerous endogenous substrates including steroids and bile acids, as well as diverse xenobiotic chemicals such as environmental carcinogens and therapeutic drugs . Gene duplication and birth-and-death evolution are major sources of UGT diversity in the vertebrate evolution (Fig. 1). We hypothesize that positive selection may be an additional factor to enhance the diversity of vertebrate Ugt genes.
We searched for positively selected sites in Ugt genes for various vertebrate species using the maximum-likelihood codeml program . We ran three pairs of nested codeml models on the human, chimpanzee, rhesus monkey, baboon, dog, mouse, rat, chicken, and zebrafish clusters a and b Ugt1 genes, as well as the human, mouse, and rat Ugt2 genes to infer positively selected codon sites. The parameter estimates for the Ugt genes are shown in the Additional file 15. The positively selected ω+ sites in each repertoire are shown in the Additional file 16. Different vertebrate species have overlapping but distinct ω+ site profiles for the Ugt1 and Ugt2 genes, even between very closely-related lineages such as mice and rats (Additional file 16), suggesting that these Ugt genes in different species are evolved through different chemical environments.
Evolution of multiple variable first exons and UGT diversity
We showed that the variable and constant organizations of Ugt1, Gcnt2, and Ugt2a clusters are vertebrate-specific (Figs. 1 and 3, and Additional file 10). In addition, these clusters are mainly subject to birth-and-death evolution instead of concerted evolution because there is no prevalent gene conversion (Additional file 6). Finally, nature selection at specific residues in four hypervariable regions in the UGT acceptor-binding domain increases their diversity for binding numerous environmental agents (Fig. 8 and Additional files 15 and 16). Interestingly, a recent human population genetic study found that diversified coding sites are more likely to be polymorphic than conserved sites .
In the vertebrate CNS, birth-and-death evolution of Pcdh variable exon arrays and positive selection on their specific ectodomain codons contribute to the staggering diversity required for neuronal connectivity [3–7]. In the vertebrate adaptive immune system, DNA rearrangement of variable and constant gene segments in the Ig and Tcr clusters, in conjunction with birth-and-death evolution and positive selection, generate unlimited diversity. Highly polymorphic Mhc genes also undergo birth-and-death evolution and overdominant selection [11, 19]. In particular, positive selection at hypervariable regions or CDRs of IG, TCR, and MHC proteins enhances their diversity for binding numerous antigens [8–10, 17, 18]. In the vertebrate detoxification system, UGT proteins recognize a myriad of hydrophobic aglycone molecules and each UGT has distinct but broad overlapping substrate specificities [20, 49]. Similar to the nervous and immune systems, two factors contribute to the diversity of UGT proteins for defense against small chemicals. The duplication of Ugt1 variable exons and the entire Ugt2 genes increases the number of distinct vertebrate UGT proteins (Fig. 1 and Additional file 10). In addition, the diversified residues in hypervariable regions through positive selection contribute to the binding specificity of each vertebrate UGT protein for a large set of distinct aglycones (Figs. 7 and 8; Additional files 15 and 16). Thus, our results reveal an intriguing similarity of diversification mechanisms between vertebrate nervous, immune, and chemical defense systems.
The ability of UGT enzymes to glucuronidate numerous endobiotics and xenobiotics is conferred by their unusual genomic organization and structure diversity. Each Ugt1 variable exon is preceded by a distinct promoter. A highly conserved DNA motif located at about the same position upstream from each variable exon is likely to play an important role in regulating Ugt1 gene expression (Additional file 5). The combination of specific promoter activation and alternative cis-splicing of a variable exon to constant exons determines their tissue-specific expression. Comparative modeling of all UGT proteins suggests that each has di-domain Rossmann folds with a hydrophobic acceptor-binding pocket located within the N-terminal domain. Maximum-likelihood analysis of nt substitution patterns identified positively selected residues located in four hypervariable regions of the N-terminal domain (Fig. 7). Structural modeling suggests that these hypervariable regions form the hydrophobic acceptor-binding pocket (Fig. 6). Therefore, highly diversified residues in the acceptor-binding pocket could enable different UGT1 proteins to have distinct glucuronidation profiles for a large repertoire of environmental agents. Our comparative sequences analysis and homologous modeling shed light on the evolution of multiple variable exons and provide a framework for future structural and biochemical characterization of the vertebrate UGT proteins.
Comparative sequence and phylogenetic analyses
The vertebrate Ugt1 and Gcnt2, and mammalian Ugt2 genomic sequences were identified by iterative BLAST searches of the GenBank databases. The finished sequences were downloaded and analyzed as previously described [1, 5]. The human gene nomenclature was following the recommendation of the HUGO committee. To ensure the accuracy, each nt was checked with the trace files from the TraceDB by using the Sequencher program. The sequences were analyzed for gene conversion by using the Geneconv program with default parameters . Similar to previous convention , only sequence elements greater than 95 nt in length shared among paralogs are shown. The variable Ugt1 and Gcnt2, and the full-length Ugt2 coding sequences were translated and the resulting polypeptides were aligned by using the GCG package. The promoter motifs were identified by the Gibbs sampler  and the graphic representations were generated by the Weblogo . Phylogenetic trees were reconstructed by using the neighbor-joining algorithm in the ClustalW package. Gaps in the alignment were treated as missing during the tree construction. The robustness of the tree partitions was evaluated by bootstrap analyses.
Homologous modeling of UGT structures and molecular docking of substrates
We predicted the UGT1A1 secondary structure profile by using the neural network programs PSIPRED  and NNPREDICT , and aligned it to the structural alignment of known bacterial and plant GT-B crystal structures by using hidden Markov models (HMM) with manual adjustments . We then modeled the structure of the human UGT1A1 by using the SWISS-MODEL . The stereochemical quality of the structural model was evaluated with ANOLEA atomic mean force potential , GROMOS empirical force field energy, Verify3D profile , and the PROCHECK  programs. The modeled human UGT1A1 structure was refined by iterative modeling until there is no major difference in the active site between structural assessments of the model and the template . In the final optimized UGT1A1 structure, dihedral angles of 331 residues were located in most favored regions of the Ramachandran plot, 53 residues in additional allowed regions, and 8 residues in generously allowed regions. We also modeled each of the 19 members of the human UGT1 and UGT2 families.
We modeled the UDPGA and bilirubin binding of UGT1A1 by using the molecular docking program GOLD (Genetic Optimization for Ligand Docking)  with default genetic algorithm parameters. The set up of the human UGT1A1 protein was according to the GOLD program manual. The UDPGA and bilirubin were downloaded from the PubChem Compound database. The UDPGA binding was modeled according to the cocrystal structure of UGT71G1 with the donor substrate. The bilirubin binding was modeled by seeding the atom NE2 of the residue H39 with a radius of 10 Å. GOLDscore was used to identify the lowest energy docking results. The hydrogen bonds and van der Waals interactions between ligands and UGT1A1 were analyzed to identify the optimal binding mode. The four hypervariable regions in the acceptor-binding domain were identified by multiple sequence alignment of all 91 vertebrate UGT1 variable polypeptides and the corresponding regions of 35 UGT2 proteins in conjunction with analyzing patterns of nt substitutions by the codeml program (see below).
Site-specific KA/KS analysis
We used the maximum-likelihood codeml program of the PAML package (v3.15)  to predict codon sites under positive selection. The estimation of positively selected sites was performed as previously described . Briefly, a set of 91 vertebrate Ugt1 variable exon sequences was translated and the resulting polypeptides were aligned with the N-terminal signal peptide removed. For the mammalian Ugt2 genes, a set of 31 full-length Ugt2 was aligned with both the N-terminal signal peptide and C-terminal transmembrane segment removed. The corresponding nt alignment was built by using RevTrans and separated into 10 Ugt1 (human, chimpanzee, rhesus monkey, baboon, dog, mouse, rat, chicken, and zebrafish clusters a and b) and 3 Ugt2 (human, mouse, and rat) groups. For each of these 13 groups, we first ran the model M0 of the codeml program with a nt neighbor-joining tree to obtain a KS-derived tree. By definition, the branches of the KS tree are about three times longer than those of the nt tree. However, almost all of the KS values are <1, suggesting that synonymous substitutions are not saturated among these UGT paralogs. We then used this tree to run three nested pairs of codeml random-sites models: M0 vs. M3; M1a vs. M2a; and M7 vs. M8. Because iterative estimations of ω values by both M2a and M8 are susceptible to local optima, we ran these models with three different initial ω values (0.03, 0.8, and 3.14) and presented only those results with the highest likelihood. We mapped the positively selected ω+ sites to the crystal structure of UGT71G1 (PDB accession code 2acv). The ω+ sites were defined as diversified residues estimated to be under positive selection with a posterior probability of >0.9 by one codeml model (M2a, M3, or M8), and >0.5 by at least one other model [5, 71].
We would like to thank Drs. M. Leppert, J. Metherall, W. Sundquist, D. Witherspoon, S. Wooding, M. Yandell, and G. Ying for critical reading of the manuscript. Q.W. is a March of Dimes Basil O'Connor Scholar. Supported by an American Cancer Society Research Scholar Grant (RSG-03-034-1-DDC) to Q.W.
- Zhang T, Haws P, Wu Q: Multiple variable first exons: a mechanism for cell- and tissue-specific gene regulation. Genome Res. 2004, 14: 79-89. 10.1101/gr.1225204.PubMed CentralView ArticlePubMedGoogle Scholar
- Wu Q, Maniatis T: A striking organization of a large family of human neural cadherin-like cell adhesion genes. Cell. 1999, 97: 779-790. 10.1016/S0092-8674(00)80789-8.View ArticlePubMedGoogle Scholar
- Wu Q, Zhang T, Cheng JF, Kim Y, Grimwood J, Schmutz J, Dickson M, Noonan JP, Zhang MQ, Myers RM, Maniatis T: Comparative DNA sequence analysis of mouse and human protocadherin gene clusters. Genome Res. 2001, 11: 389-404. 10.1101/gr.167301.PubMed CentralView ArticlePubMedGoogle Scholar
- Noonan JP, Grimwood J, Schmutz J, Dickson M, Myers RM: Gene conversion and the evolution of protocadherin gene cluster diversity. Genome Res. 2004, 14: 354-366. 10.1101/gr.2133704.PubMed CentralView ArticlePubMedGoogle Scholar
- Wu Q: Comparative genomics and diversifying selection of the clustered vertebrate protocadherin genes. Genetics. 2005, 169: 2179-2188. 10.1534/genetics.104.037606.PubMed CentralView ArticlePubMedGoogle Scholar
- Zou C, Huang W, Ying G, Wu Q: Sequence analysis and expression mapping of the rat clustered protocadherin gene repertoires. Neuroscience. 2007, 144: 579-603. 10.1016/j.neuroscience.2006.10.011.View ArticlePubMedGoogle Scholar
- Tada MN, Senzaki K, Tai Y, Morishita H, Tanaka YZ, Murata Y, Ishii Y, Asakawa S, Shimizu N, Sugino H, Yagi T: Genomic organization and transcripts of the zebrafish Protocadherin genes. Gene. 2004, 340: 197-211. 10.1016/j.gene.2004.07.014.View ArticlePubMedGoogle Scholar
- Tanaka T, Nei M: Positive darwinian selection observed at the variable-region genes of immunoglobulins. Mol Biol Evol. 1989, 6: 447-459.PubMedGoogle Scholar
- Sitnikova T, Nei M: Evolution of immunoglobulin kappa chain variable region genes in vertebrates. Mol Biol Evol. 1998, 15: 50-60.View ArticlePubMedGoogle Scholar
- Su C, Nei M: Evolutionary dynamics of the T-cell receptor VB gene family as inferred from the human and mouse genomic sequences. Mol Biol Evol. 2001, 18: 503-513.View ArticlePubMedGoogle Scholar
- Nei M, Rooney AP: Concerted and birth-and-death evolution of multigene families. Annu Rev Genet. 2005, 39: 121-152. 10.1146/annurev.genet.39.073003.112240.PubMed CentralView ArticlePubMedGoogle Scholar
- Bjorkman PJ, Saper MA, Samraoui B, Bennett WS, Strominger JL, Wiley DC: Structure of the human class I histocompatibility antigen, HLA-A2. Nature. 1987, 329: 506-512. 10.1038/329506a0.View ArticlePubMedGoogle Scholar
- Brown JH, Jardetzky TS, Gorga JC, Stern LJ, Urban RG, Strominger JL, Wiley DC: Three-dimensional structure of the human class II histocompatibility antigen HLA-DR1. Nature. 1993, 364: 33-39. 10.1038/364033a0.View ArticlePubMedGoogle Scholar
- Bjorkman PJ, Saper MA, Samraoui B, Bennett WS, Strominger JL, Wiley DC: The foreign antigen binding site and T cell recognition regions of class I histocompatibility antigens. Nature. 1987, 329: 512-518. 10.1038/329512a0.View ArticlePubMedGoogle Scholar
- Brown JH, Jardetzky T, Saper MA, Samraoui B, Bjorkman PJ, Wiley DC: A hypothetical model of the foreign antigen binding site of class II histocompatibility molecules. Nature. 1988, 332: 845-850. 10.1038/332845a0.View ArticlePubMedGoogle Scholar
- Stern LJ, Brown JH, Jardetzky TS, Gorga JC, Urban RG, Strominger JL, Wiley DC: Crystal structure of the human class II MHC protein HLA-DR1 complexed with an influenza virus peptide. Nature. 1994, 368: 215-221. 10.1038/368215a0.View ArticlePubMedGoogle Scholar
- Hughes AL, Nei M: Pattern of nucleotide substitution at major histocompatibility complex class I loci reveals overdominant selection. Nature. 1988, 335: 167-170. 10.1038/335167a0.View ArticlePubMedGoogle Scholar
- Hughes AL, Nei M: Nucleotide substitution at major histocompatibility complex class II loci: evidence for overdominant selection. Proc Natl Acad Sci U S A. 1989, 86: 958-962. 10.1073/pnas.86.3.958.PubMed CentralView ArticlePubMedGoogle Scholar
- Nei M, Gu X, Sitnikova T: Evolution by the birth-and-death process in multigene families of the vertebrate immune system. Proc Natl Acad Sci U S A. 1997, 94: 7799-7806. 10.1073/pnas.94.15.7799.PubMed CentralView ArticlePubMedGoogle Scholar
- Tukey RH, Strassburg CP: Human UDP-glucuronosyltransferases: metabolism, expression, and disease. Annu Rev Pharmacol Toxicol. 2000, 40: 581-616. 10.1146/annurev.pharmtox.40.1.581.View ArticlePubMedGoogle Scholar
- Mackenzie PI, Walter Bock K, Burchell B, Guillemette C, Ikushiro S, Iyanagi T, Miners JO, Owens IS, Nebert DW: Nomenclature update for the mammalian UDP glycosyltransferase (UGT) gene superfamily. Pharmacogenet Genomics. 2005, 15: 677-685.View ArticlePubMedGoogle Scholar
- Radominska-Pandya A, Ouzzine M, Fournel-Gigleux S, Magdalou J: Structure of UDP-glucuronosyltransferases in membranes. Methods Enzymol. 2005, 400: 116-147.View ArticlePubMedGoogle Scholar
- Coutinho PM, Deleury E, Davies GJ, Henrissat B: An evolving hierarchical family classification for glycosyltransferases. J Mol Biol. 2003, 328: 307-317. 10.1016/S0022-2836(03)00307-3. [http://afmb.cnrs-mrs.fr/CAZY/fam/acc_GT.html]View ArticlePubMedGoogle Scholar
- Hu Y, Walker S: Remarkable structural similarities between diverse glycosyltransferases. Chem Biol. 2002, 9: 1287-1296. 10.1016/S1074-5521(02)00295-8.View ArticlePubMedGoogle Scholar
- Iyer L, Hall D, Das S, Mortell MA, Ramirez J, Kim S, Di Rienzo A, Ratain MJ: Phenotype-genotype correlation of in vitro SN-38 (active metabolite of irinotecan) and bilirubin glucuronidation in human liver tissue with UGT1A1 promoter polymorphism. Clin Pharmacol Ther. 1999, 65: 576-582. 10.1016/S0009-9236(99)70078-0.View ArticlePubMedGoogle Scholar
- Miners JO, Smith PA, Sorich MJ, McKinnon RA, Mackenzie PI: Predicting human drug glucuronidation parameters: application of in vitro and in silico modeling approaches. Annu Rev Pharmacol Toxicol. 2004, 44: 1-25. 10.1146/annurev.pharmtox.44.101802.121546.View ArticlePubMedGoogle Scholar
- Innocenti F, Vokes EE, Ratain MJ: Irinogenetics: what is the right star?. J Clin Oncol. 2006, 24: 2221-2224. 10.1200/JCO.2005.05.2464.View ArticlePubMedGoogle Scholar
- Kadakol A, Ghosh SS, Sappal BS, Sharma G, Chowdhury JR, Chowdhury NR: Genetic lesions of bilirubin uridine-diphosphoglucuronate glucuronosyltransferase (UGT1A1) causing Crigler-Najjar and Gilbert syndromes: correlation of genotype to phenotype. Hum Mutat. 2000, 16: 297-306. 10.1002/1098-1004(200010)16:4<297::AID-HUMU2>3.0.CO;2-Z.View ArticlePubMedGoogle Scholar
- Maitland ML, Grimsley C, Kuttab-Boulos H, Witonsky D, Kasza KE, Yang L, Roe BA, Di Rienzo A: Comparative genomics analysis of human sequence variation in the UGT1A gene cluster. Pharmacogenomics J. 2006, 6: 52-62. 10.1038/sj.tpj.6500351.View ArticlePubMedGoogle Scholar
- Crigler JF, Najjar VA: Congenital familial nonhemolytic jaundice with kernicterus. Pediatrics. 1952, 10: 169-180.PubMedGoogle Scholar
- Bosma PJ, Seppen J, Goldhoorn B, Bakker C, Oude Elferink RP, Chowdhury JR, Chowdhury NR, Jansen PL: Bilirubin UDP-glucuronosyltransferase 1 is the only relevant bilirubin glucuronidating isoform in man. J Biol Chem. 1994, 269: 17960-17964.PubMedGoogle Scholar
- Ritter JK, Chen F, Sheen YY, Tran HM, Kimura S, Yeatman MT, Owens IS: A novel complex locus UGT1 encodes human bilirubin, phenol, and other UDP-glucuronosyltransferase isozymes with identical carboxyl termini. J Biol Chem. 1992, 267: 3257-3261.PubMedGoogle Scholar
- Owens IS, Basu NK, Banerjee R: UDP-glucuronosyltransferases: gene structures of UGT1 and UGT2 families. Methods Enzymol. 2005, 400: 1-22.View ArticlePubMedGoogle Scholar
- Emi Y, Ikushiro S, Iyanagi T: Drug-responsive and tissue-specific alternative expression of multiple first exons in rat UDP-glucuronosyltransferase family 1 (UGT1) gene complex. J Biochem (Tokyo). 1995, 117: 392-399.View ArticleGoogle Scholar
- Marti-Renom MA, Stuart AC, Fiser A, Sanchez R, Melo F, Sali A: Comparative protein structure modeling of genes and genomes. Annu Rev Biophys Biomol Struct. 2000, 29: 291-325. 10.1146/annurev.biophys.29.1.291.View ArticlePubMedGoogle Scholar
- Chen FC, Li WH: Genomic divergences between humans and other hominoids and the effective population size of the common ancestor of humans and chimpanzees. Am J Hum Genet. 2001, 68: 444-456. 10.1086/318206.PubMed CentralView ArticlePubMedGoogle Scholar
- Caspersen CS, Reznik B, Weldy PL, Abildskov KM, Stark RI, Garland M: Molecular cloning of the baboon UDP-glucuronosyltransferase 1A gene family: Evolution of the primate UGT1 locus and relevance for models of human drug metabolism. Pharmacogenet Genomics. 2007, 17: 11-24.View ArticlePubMedGoogle Scholar
- Springer MS, Murphy WJ, Eizirik E, O'Brien SJ: Placental mammal diversification and the Cretaceous-Tertiary boundary. Proc Natl Acad Sci U S A. 2003, 100: 1056-1061. 10.1073/pnas.0334222100.PubMed CentralView ArticlePubMedGoogle Scholar
- Hedges SB: The origin and evolution of model organisms. Nat Rev Genet. 2002, 3: 838-849. 10.1038/nrg929.View ArticlePubMedGoogle Scholar
- Wu Q, Maniatis T: Large exons encoding multiple ectodomains are a characteristic feature of protocadherin genes. Proc Natl Acad Sci U S A. 2000, 97: 3124-3129. 10.1073/pnas.060027397.PubMed CentralView ArticlePubMedGoogle Scholar
- Sawyer S: Statistical tests for detecting gene conversion. Mol Biol Evol. 1989, 6: 526-538. [http://www.math.wustl.edu/~sawyer/geneconv]PubMedGoogle Scholar
- Tukey RH, Strassburg CP: Genetic multiplicity of the human UDP-glucuronosyltransferases and regulation in the gastrointestinal tract. Mol Pharmacol. 2001, 59: 405-414.PubMedGoogle Scholar
- Hu Y, Chen L, Ha S, Gross B, Falcone B, Walker D, Mokhtarzadeh M, Walker S: Crystal structure of the MurG:UDP-GlcNAc complex reveals common structural principles of a superfamily of glycosyltransferases. Proc Natl Acad Sci U S A. 2003, 100: 845-849. 10.1073/pnas.0235749100.PubMed CentralView ArticlePubMedGoogle Scholar
- Mulichak AM, Losey HC, Walsh CT, Garavito RM: Structure of the UDP-glucosyltransferase GtfB that modifies the heptapeptide aglycone in the biosynthesis of vancomycin group antibiotics. Structure. 2001, 9: 547-557. 10.1016/S0969-2126(01)00616-5.View ArticlePubMedGoogle Scholar
- Mulichak AM, Losey HC, Lu W, Wawrzak Z, Walsh CT, Garavito RM: Structure of the TDP-epi-vancosaminyltransferase GtfA from the chloroeremomycin biosynthetic pathway. Proc Natl Acad Sci U S A. 2003, 100: 9238-9243. 10.1073/pnas.1233577100.PubMed CentralView ArticlePubMedGoogle Scholar
- Mulichak AM, Lu W, Losey HC, Walsh CT, Garavito RM: Crystal structure of vancosaminyltransferase GtfD from the vancomycin biosynthetic pathway: interactions with acceptor and nucleotide ligands. Biochemistry. 2004, 43: 5170-5180. 10.1021/bi036130c.View ArticlePubMedGoogle Scholar
- Shao H, He X, Achnine L, Blount JW, Dixon RA, Wang X: Crystal structures of a multifunctional triterpene/flavonoid glycosyltransferase from Medicago truncatula. Plant Cell. 2005, 17: 3141-3154. 10.1105/tpc.105.035055.PubMed CentralView ArticlePubMedGoogle Scholar
- Rossmann MG, Moras D, Olsen KW: Chemical and biological evolution of nucleotide-binding protein. Nature. 1974, 250: 194-199. 10.1038/250194a0.View ArticlePubMedGoogle Scholar
- Radominska-Pandya A, Czernik PJ, Little JM, Battaglia E, Mackenzie PI: Structural and functional studies of UDP-glucuronosyltransferases. Drug Metab Rev. 1999, 31: 817-899. 10.1081/DMR-100101944.View ArticlePubMedGoogle Scholar
- Labrune P, Myara A, Hadchouel M, Ronchi F, Bernard O, Trivin F, Chowdhury NR, Chowdhury JR, Munnich A, Odievre M: Genetic heterogeneity of Crigler-Najjar syndrome type I: a study of 14 cases. Hum Genet. 1994, 94: 693-697. 10.1007/BF00206965.View ArticlePubMedGoogle Scholar
- Ciotti M, Chen F, Rubaltelli FF, Owens IS: Coding defect and a TATA box mutation at the bilirubin UDP-glucuronosyltransferase gene cause Crigler-Najjar type I disease. Biochim Biophys Acta. 1998, 1407: 40-50.View ArticlePubMedGoogle Scholar
- Servedio V, d'Apolito M, Maiorano N, Minuti B, Torricelli F, Ronchi F, Zancan L, Perrotta S, Vajro P, Boschetto L, Iolascon A: Spectrum of UGT1A1 mutations in Crigler-Najjar (CN) syndrome patients: identification of twelve novel alleles and genotype-phenotype correlation. Hum Mutat. 2005, 25: 325-10.1002/humu.9322.View ArticlePubMedGoogle Scholar
- D'Apolito M, Marrone A, Servedio V, Vajro P, De Falco L, Iolascon A: Seven novel mutations of the UGT1A1 gene in patients with unconjugated hyperbilirubinemia. Haematologica. 2007, 92: 133-134.View ArticlePubMedGoogle Scholar
- Erps LT, Ritter JK, Hersh JH, Blossom D, Martin NC, Owens IS: Identification of two single base substitutions in the UGT1 gene locus which abolish bilirubin uridine diphosphate glucuronosyltransferase activity in vitro. J Clin Invest. 1994, 93: 564-570.PubMed CentralView ArticlePubMedGoogle Scholar
- Ciotti M, Obaray R, Martin MG, Owens IS: Genetic defects at the UGT1 locus associated with Crigler-Najjar type I disease, including a prenatal diagnosis. Am J Med Genet. 1997, 68: 173-178. 10.1002/(SICI)1096-8628(19970120)68:2<173::AID-AJMG10>3.0.CO;2-R.View ArticlePubMedGoogle Scholar
- Ciotti M, Werlin SL, Owens IS: Delayed response to phenobarbital treatment of a Crigler-Najjar type II patient with partially inactivating missense mutations in the bilirubin UDP-glucuronosyltransferase gene. J Pediatr Gastroenterol Nutr. 1999, 28: 210-213. 10.1097/00005176-199902000-00024.View ArticlePubMedGoogle Scholar
- Moghrabi N, Clarke DJ, Boxer M, Burchell B: Identification of an A-to-G missense mutation in exon 2 of the UGT1 gene complex that causes Crigler-Najjar syndrome type 2. Genomics. 1993, 18: 171-173. 10.1006/geno.1993.1451.View ArticlePubMedGoogle Scholar
- Labrune P, Myara A, Chalas J, Le Bihan B, Capel L, Francoual J: Association of a homozygous (TA)8 promoter polymorphism and a N400D mutation of UGT1A1 in a child with Crigler-Najjar type II syndrome. Hum Mutat. 2002, 20: 399-401. 10.1002/humu.10122.View ArticlePubMedGoogle Scholar
- Takeuchi K, Kobayashi Y, Tamaki S, Ishihara T, Maruo Y, Araki J, Mifuji R, Itani T, Kuroda M, Sato H, Kaito M, Adachi Y: Genetic polymorphisms of bilirubin uridine diphosphate-glucuronosyltransferase gene in Japanese patients with Crigler-Najjar syndrome or Gilbert's syndrome as well as in healthy Japanese subjects. J Gastroenterol Hepatol. 2004, 19: 1023-1028. 10.1111/j.1440-1746.2004.03370.x.View ArticlePubMedGoogle Scholar
- Koiwai O, Nishizawa M, Hasada K, Aono S, Adachi Y, Mamiya N, Sato H: Gilbert's syndrome is caused by a heterozygous missense mutation in the gene for bilirubin UDP-glucuronosyltransferase. Hum Mol Genet. 1995, 4: 1183-1186. 10.1093/hmg/4.7.1183.View ArticlePubMedGoogle Scholar
- Aono S, Adachi Y, Uyama E, Yamada Y, Keino H, Nanno T, Koiwai O, Sato H: Analysis of genes for bilirubin UDP-glucuronosyltransferase in Gilbert's syndrome. Lancet. 1995, 345: 958-959. 10.1016/S0140-6736(95)90702-5.View ArticlePubMedGoogle Scholar
- Bonnett R, Davies JE, Hursthouse MB: Structure of bilirubin. Nature. 1976, 262: 326-328. 10.1038/262326a0.View ArticleGoogle Scholar
- Jones G, Willett P, Glen RC, Leach AR, Taylor R: Development and validation of a genetic algorithm for flexible docking. J Mol Biol. 1997, 267: 727-748. 10.1006/jmbi.1996.0897.View ArticlePubMedGoogle Scholar
- Petit F, Gajdos V, Capel L, Parisot F, Myara A, Francoual J, Labrune P: Crigler-Najjar type II syndrome may result from several types and combinations of mutations in the UGT1A1 gene. Clin Genet. 2006, 69: 525-527. 10.1111/j.1399-0004.2006.00616.x.View ArticlePubMedGoogle Scholar
- Sutomo R, Laosombat V, Sadewa AH, Yokoyama N, Nakamura H, Matsuo M, Nishio H: Novel missense mutation of the UGT1A1 gene in Thai siblings with Gilbert's syndrome. Pediatr Int. 2002, 44: 427-432.View ArticlePubMedGoogle Scholar
- Ghosh SS, Lu Y, Lee SW, Wang X, Guha C, Roy-Chowdhury J, Roy-Chowdhury N: Role of cysteine residues in the function of human UDP glucuronosyltransferase isoform 1A1 (UGT1A1). Biochem J. 2005, 392: 685-692. 10.1042/BJ20050381.PubMed CentralView ArticlePubMedGoogle Scholar
- Seppen J, Bosma PJ, Goldhoorn BG, Bakker CT, Chowdhury JR, Chowdhury NR, Jansen PL, Oude Elferink RP: Discrimination between Crigler-Najjar type I and II by expression of mutant bilirubin uridine diphosphate-glucuronosyltransferase. J Clin Invest. 1994, 94: 2385-2391.PubMed CentralView ArticlePubMedGoogle Scholar
- Bosma PJ, Goldhoorn B, Oude Elferink RP, Sinaasappel M, Oostra BA, Jansen PL: A mutation in bilirubin uridine 5'-diphosphate-glucuronosyltransferase isoform 1 causing Crigler-Najjar syndrome type II. Gastroenterology. 1993, 105: 216-220.PubMedGoogle Scholar
- Iolascon A, Meloni A, Coppola B, Rosatelli MC: Crigler-Najjar syndrome type II resulting from three different mutations in the bilirubin uridine 5'-diphosphate-glucuronosyltransferase (UGT1A1) gene. J Med Genet. 2000, 37: 712-713. 10.1136/jmg.37.9.712.PubMed CentralView ArticlePubMedGoogle Scholar
- Su C, Jakobsen I, Gu X, Nei M: Diversity and evolution of T-cell receptor variable region genes in mammals and birds. Immunogenetics. 1999, 50: 301-308. 10.1007/s002510050606.View ArticlePubMedGoogle Scholar
- Emes RD, Beatson SA, Ponting CP, Goodstadt L: Evolution and comparative genomics of odorant- and pheromone-associated genes in rodents. Genome Res. 2004, 14: 591-602. 10.1101/gr.1940604.PubMed CentralView ArticlePubMedGoogle Scholar
- Yang Z: PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci. 1997, 13: 555-556.PubMedGoogle Scholar
- Lawrence CE, Altschul SF, Boguski MS, Liu JS, Neuwald AF, Wootton JC: Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science. 1993, 262: 208-214. 10.1126/science.8211139. [http://bayesweb.wadsworth.org/gibbs/gibbs.html]View ArticlePubMedGoogle Scholar
- Crooks GE, Hon G, Chandonia JM, Brenner SE: WebLogo: a sequence logo generator. Genome Res. 2004, 14: 1188-1190. 10.1101/gr.849004. [http://weblogo.berkeley.edu/logo.cgi]PubMed CentralView ArticlePubMedGoogle Scholar
- Jones DT: Protein secondary structure prediction based on position-specific scoring matrices. J Mol Biol. 1999, 292: 195-202. 10.1006/jmbi.1999.3091.View ArticlePubMedGoogle Scholar
- Kneller DG, Cohen FE, Langridge R: Improvements in protein secondary structure prediction by an enhanced neural network. J Mol Biol. 1990, 214: 171-182. 10.1016/0022-2836(90)90154-E.View ArticlePubMedGoogle Scholar
- Krogh A, Brown M, Mian IS, Sjolander K, Haussler D: Hidden Markov models in computational biology. Applications to protein modeling. J Mol Biol. 1994, 235: 1501-1531. 10.1006/jmbi.1994.1104. [http://www.cse.ucsc.edu/research/compbio/sam.html]View ArticlePubMedGoogle Scholar
- Guex N, Peitsch MC: SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis. 1997, 18: 2714-2723. 10.1002/elps.1150181505.View ArticlePubMedGoogle Scholar
- Melo F, Feytmans E: Assessing protein structures with a non-local atomic interaction energy. J Mol Biol. 1998, 277: 1141-1152. 10.1006/jmbi.1998.1665.View ArticlePubMedGoogle Scholar
- Eisenberg D, Luthy R, Bowie JU: VERIFY3D: assessment of protein models with three-dimensional profiles. Methods Enzymol. 1997, 277: 396-404.View ArticlePubMedGoogle Scholar
- Laskowski RA, W. MAM, Moss DS, Thornton JM: PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Cryst. 1993, 26: 283-291. 10.1107/S0021889892009944.View ArticleGoogle Scholar
- Nicholas KB, Nicholas HBJ, Deerfield DWII: GeneDoc: Analysis and Visualization of Genetic Variation. EMBNEWNEWS. 1997, 4: 14-[http://www.nrbsc.org/gfx/genedoc/index.html]Google Scholar
- DeLano WL: The PyMOL Molecular Graphics System. (2002) DeLano Scientific, Palo Alto, CA, USA. 2002, [http://www.pymol.org]Google Scholar
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