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Robert Fredriksson

Publications and source records attributed to Robert Fredriksson.

At least 19 recordsLinked to original sources

Quantitative trait loci for BMD and bone strength in an intercross between domestic and wildtype chickens.

UNLABELLED: With chicken used as a model species, we used QTL analysis to examine the genetic contribution to bone traits. We report the identification of four QTLs for femoral traits: one for bone strength, one for endosteal circumference, and two affecting mineral density of noncortical bone. INTRODUCTION: BMD is a highly heritable phenotype, governed by elements at numerous loci. In studies examining the genetic contribution to bone traits, many loci have been identified in humans and in other species. The goal of this study was to identify quantitative trait loci (QTLs) controlling BMD and bone strength in an intercross between wildtype and domestic chickens. MATERIALS AND METHODS: A set of 164 markers, covering 30 chromosomes (chr.), were used to genotype 337 F2-individuals from an intercross of domesticated white Leghorn and wildtype red junglefowl chicken. DXA and pQCT were used to measure BMD and bone structure. Three-point bending tests and torsional strength tests were performed to determine the biomechanical strength of the bone. QTLs were mapped using forward selection for loci with significant marginal effects. RESULTS: Four QTLs for femoral bone traits were identified in QTL analysis with body weight included as a covariate. A QTL on chr. 1 affected female noncortical BMD (LOD 4.6) and is syntenic to human 12q21-12q23. Also located on chr. 1, a locus with synteny to human 12q13-14 affected endosteal circumference (LOD 4.6). On chr. 2, a QTL corresponding to human 5p13-p15, 7p12, 18q12, 18q21, and 9q22-9q31 affected BMD in females; noncortical (LOD 4.0) and metaphyseal (LOD 7.0) BMD by pQCT and BMD by DXA (LOD 5.9). A QTL located on chr. 20 (LOD 5.2) affected bone biomechanical strength and had sex-dependent effects. In addition to the significant QTLs, 10 further loci with suggestive linkage to bone traits were identified. CONCLUSIONS: Four QTLs were identified: two for noncortical BMD, one for endosteal circumference, and one affecting bone biomechanical strength. The future identification of genes responsible for these QTLs will increase the understanding of vertebrate skeletal biology.

Animals↗

Formation of new genes explains lower intron density in mammalian Rhodopsin G protein-coupled receptors.

Mammalian G protein-coupled receptor (GPCR) genes are characterised by a large proportion of intronless genes or a lower density of introns when compared with GPCRs of invertebrates. It is unclear which mechanisms have influenced intron density in this protein family, which is one of the largest in the mammalian genomes. We used a combination of Hidden Markov Models (HMM) and BLAST searches to establish the comprehensive repertoire of Rhodopsin GPCRs from seven species and performed overall alignments and phylogenetic analysis using the maximum parsimony method for over 1400 receptors in 12 subgroups. We identified 14 different Ancestral Receptor Groups (ARGs) that have members in both vertebrate and invertebrate species. We found that there exists a remarkable difference in the intron density among ancestral and new Rhodopsin GPCRs. The intron density among ARGs members was more than 3.5-fold higher than that within non-ARG members and more than 2-fold higher when considering only the 7TM region. This suggests that the new GPCR genes have been predominantly formed intronless while the ancestral receptors likely accumulated introns during their evolution. Many of the intron positions found in mammalian ARG receptor sequences were found to be present in orthologue invertebrate receptors suggesting that these intron positions are ancient. This analysis also revealed that one intron position is much more frequent than any other position and it is common for a number of phylogenetically different Rhodopsin GPCR groups. This intron position lies within a functionally important, conserved, DRY motif which may form a proto-splice site that could contribute to positional intron insertion. Moreover, we have found that other receptor motifs, similar to DRY, also contain introns between the second and third nucleotide of the arginine codon which also forms a proto-splice site. Our analysis presents compelling evidence that there was not a major loss of introns in mammalian GPCRs and formation of new GPCRs among mammals explains why these have fewer introns compared to invertebrate GPCRs. We also discuss and speculate about the possible role of different RNA- and DNA-based mechanisms of intron insertion and loss.

Animals↗

Fourteen novel human members of mitochondrial solute carrier family 25 (SLC25) widely expressed in the central nervous system.

Members of the solute carrier family 25 (SLC25) are known to transport molecules over the mitochondrial membrane. In this paper we present 14 novel members of SLC25 family in human. These were provided with following gene symbols by the HGNC: SLC25A32, SLC25A33, SLC25A34, SLC25A35, SLC25A37, SLC25A38, SLC25A39, SLC25A40, SLC25A41, SLC25A42, SLC25A43, SLC25A44, SLC25A45, and SLC25A46. We also identified the orthologues for these genes in rat and mouse. Moreover, we found yeast orthologues for 9 of these genes and show that the predicted substrate binding residues are highly conserved in the human and yeast proteins. We performed a comprehensive tissue localization study for 9 of these genes on a panel of 30 rat tissues with quantitative real-time polymerse chain reaction. We detected their mRNA in a wide number of tissues, both in brain and in periphery. This study provides an overall roadmap of the repertoire of the SLC25 family in mammals, showing that there are at least 46 genes in the human genome coding for mitochondrial transporters.

Animals↗

Identification of novel splice variants of Adhesion G protein-coupled receptors.

Alternative splicing is an important mechanism to generate proteome diversity in higher eukaryotic organisms. We searched for splice variants of the human Adhesion family of G protein-coupled receptors (GPCRs) using mRNA sequences and expressed sequence tags. The results presented here describe 53 human splice variants among the 33 Adhesion GPCRs. Many of these variants appear to be coding for "functional" proteins (29) while the others are seemingly "non-functional" (24). Novel functional splice variants were found for: CD97, CELR3, EMR2, EMR3, GPR56, GPR110, GPR112-GPR114, GPR116, GPR123-GPR126, GPR133, HE6, and LEC1-LEC3. Splice variants for GPR116, GPR125, GPR126, and HE6 were found conserved in other species. Several of the functional splice variants lack one or more of the functional domains that are found in the N-termini of these receptors. These functional domains are likely to affect ligand binding or interaction with other proteins and these novel splice variants may have important roles for the specificity of interactions between these receptors and extracellular molecules. Another type of splice variants found here lacks a GPCR proteolytic site (GPS). The GPS domain has been shown to be essential for the proteolytic cleavage of the receptors N-termini and for cellular surface expression. We suggest that these alternative splice variants may be crucial for the function of the receptors while the seemingly non-functional splice variants may be a part of a regulative mechanism.

Alternative Splicing↗

Comprehensive comparisons of the current human, mouse, and rat RefSeq, Ensembl, EST, and FANTOM3 datasets: identification of new human genes with specific tissue expression profile.

Our understanding of functional genetic elements in the genomes is continuously growing and new entries are entered in various databases on a regular basis. We have here merged the genetic elements in RefSeq, Ensembl, FANTOM3, HINV, and NCBI:s ESTdb using the genome assemblies in order to achieve a comprehensive picture of the current status of the identity and gene number in human, mouse, and rat. The number of human protein coding genes has not increased (25,043) while the increased sequencing of mouse transcripts has provided the considerably higher number of protein coding genes (31,578) in mouse. The results indicate large discrepancies between the datasets, as considerable numbers of unique transcripts can be found in each dataset. Despite the high number of ncRNA (38,129 in mouse) there are also almost 20,000 EST clusters in both mouse and humans with more than one EST that do not overlap any transcript suggesting that several new genetic elements are still to be found. We also demonstrated presence of new genes by identifying new human ones that have specific tissue profiles, using RT-PCR on rat tissues.

Animals↗

Comprehensive repertoire and phylogenetic analysis of the G protein-coupled receptors in human and mouse.

Understanding differences in the repertoire of orthologous gene pairs is vital for interpretation of pharmacological and physiological experiments if conclusions are conveyed between species. Here we present a comprehensive dataset for G protein-coupled receptors (GPCRs) in both human and mouse with a phylogenetic road map. We performed systematic searches applying several search tools such as BLAST, BLAT, and Hidden Markov models and searches in literature data. We aimed to gather a full-length version of each human or mouse GPCR in only one copy referring to a single chromosomal position. Moreover, we performed detailed phylogenetic analysis of the transmembrane regions of the receptors to establish accurate orthologous pairs. The results show the identity of 495 mouse and 400 human functional nonolfactory GPCRs. Overall, 329 of the receptors are found in one-to-one orthologous pairs, while 119 mouse and 31 human receptors originate from species-specific expansions or deletions. The average percentage similarity of the orthologue pairs is 85%, while it varies between the main GRAFS families from an average of 59 to 94%. The orthologous pairs for the lipid-binding GPCRs had the lowest levels of conservation, while the biogenic amines had highest levels of conservation. Moreover, we searched for expressed sequence tags (ESTs) and identified more than 17,000 ESTs matching GPCRs in mouse and human, providing information about their expression patterns. On the whole, this is the most comprehensive study of the gene repertoire that codes for human and mouse GPCRs. The datasets are available for downloading.

Animals↗

The G protein-coupled receptor subset of the chicken genome.

G protein-coupled receptors (GPCRs) are one of the largest families of proteins, and here we scan the recently sequenced chicken genome for GPCRs. We use a homology-based approach, utilizing comparisons with all human GPCRs, to detect and verify chicken GPCRs from translated genomic alignments and Genscan predictions. We present 557 manually curated sequences for GPCRs from the chicken genome, of which 455 were previously not annotated. More than 60% of the chicken Genscan gene predictions with a human ortholog needed curation, which drastically changed the average percentage identity between the human-chicken orthologous pairs (from 56.3% to 72.9%). Of the non-olfactory chicken GPCRs, 79% had a one-to-one orthologous relationship to a human GPCR. The Frizzled, Secretin, and subgroups of the Rhodopsin families have high proportions of orthologous pairs, although the percentage of amino acid identity varies. Other groups show large differences, such as the Adhesion family and GPCRs that bind exogenous ligands. The chicken has only three bitter Taste 2 receptors, and it also lacks an ortholog to human TAS1R2 (one of three GPCRs in the human genome in the Taste 1 receptor family [TAS1R]), implying that the chicken's ability and mode of detecting both bitter and sweet taste may differ from the human's. The chicken genome contains at least 229 olfactory receptors, and the majority of these (218) originate from a chicken-specific expansion. To our knowledge, this dataset of chicken GPCRs is the largest curated dataset from a single gene family from a non-mammalian vertebrate. Both the updated human GPCR dataset, as well the chicken GPCR dataset, are available for download.

Animals↗

Increased mRNA levels of tyrosine hydroxylase and dopamine transporter in the VTA of male rats after chronic food restriction.

Dieting as a strategy to reduce body weight often fails as it causes food cravings leading to bingeing and weight regain. Evidence from several lines of research suggests the presence of shared elements for neural regulation of food and drug craving. We quantified the expression of eight genes involved in dopamine signalling in brain regions related to the mesolimbic and nigrostriatal dopamine system in male rats subjected to chronic food restriction using quantitative real-time polymerase chain reaction. Food restriction strongly increased mRNA levels of tyrosine hydroxylase and the dopamine transporter in the ventral tegmental area. Quantitative autoradiography indicated that the dopamine transporter was also upregulated at the protein level in the shell of the nucleus accumbens. However, these effects were not observed after acute food deprivation. We suggest that the results reflect a sensitization of the mesolimbic dopamine pathway characterized by increased clearance of extracellular dopamine in the nucleus accumbens shell. Such sensitization of the mesolimbic dopamine system may be one of the underlying causes for the food cravings that interfere with dietary compliance.

Animals↗

Neuropeptide Y-family receptors Y6 and Y7 in chicken. Cloning, pharmacological characterization, tissue distribution and conserved synteny with human chromosome region.

The peptides of the neuropeptide Y (NPY) family exert their functions, including regulation of appetite and circadian rhythm, by binding to G-protein coupled receptors. Mammals have five subtypes, named Y1, Y2, Y4, Y5 and Y6, and recently Y7 has been discovered in fish and amphibians. In chicken we have previously characterized the first four subtypes and here we describe Y6 and Y7. The genes for Y6 and Y7 are located 1 megabase apart on chromosome 13, which displays conserved synteny with human chromosome 5 that harbours the Y6 gene. The porcine PYY radioligand bound the chicken Y6 receptor with a K(d) of 0.80 +/- 0.36 nm. No functional coupling was demonstrated. The Y6 mRNA is expressed in hypothalamus, gastrointestinal tract and adipose tissue. Porcine PYY bound chicken Y7 with a K(d) of 0.14 +/- 0.01 nm (mean +/- SEM), whereas chicken PYY surprisingly had a much lower affinity, with a Ki of 41 nm, perhaps as a result of its additional amino acid at the N terminus. Truncated peptide fragments had greatly reduced affinity for Y7, in agreement with its closest relative, Y2, in chicken and fish, but in contrast to Y2 in mammals. This suggests that in mammals Y2 has only recently acquired the ability to bind truncated PYY. Chicken Y7 has a much more restricted tissue distribution than other subtypes and was only detected in adrenal gland. Y7 seems to have been lost in mammals. The physiological roles of Y6 and Y7 remain to be identified, but our phylogenetic and chromosomal analyses support the ancient origin of these Y receptor genes by chromosome duplications in an early (pregnathostome) vertebrate ancestor.

Amino Acid Sequence↗

Characterization of NPY receptor subtypes Y2 and Y7 in rainbow trout Oncorhynchus mykiss.

We report the cloning and pharmacological characterization of two neuropeptide Y (NPY) receptor subtypes, Y2 and Y7, in rainbow trout (Oncorhynchus mykiss). These subtypes are approximately 50% identical to each other and belong to the Y2 subfamily of NPY receptors. The binding properties of the receptors were investigated after expression in human HEK-293 EBNA cells. Both receptors bound the three zebrafish peptides NPY, PYYa, and PYYb, as well as porcine NPY and PYY, with affinities in the nanomolar range that are similar to mammalian Y2. The affinity of the truncated porcine NPY fragments, NPY 13-36 and NPY 18-36 was markedly lower compared to mammalian and chicken Y2. This suggests that mammalian and chicken Y2 are unique among NPY receptors in their ability to bind truncated peptide fragments. The antagonist BIIE0246, developed for mammalian Y2, did not bind either of the two rainbow trout receptors. Our results support the proposed expansion of this gene family by duplications before the gnathostome radiation. They also reveal appreciable differences in the repertoire and characteristics of NPY receptors between fish and tetrapods stressing the importance of lineage-specific gene loss as well as sequence divergence after duplication.

Amino Acid Sequence↗

The gene repertoire and the common evolutionary history of glutamate, pheromone (V2R), taste(1) and other related G protein-coupled receptors.

Glutamate receptors (also known as clan C) are one of the main groups of GPCRs with many subgroup linked through complex evolutionary relationships. We performed thorough searches for genes coding for proteins belonging to this family in the human, mouse, Fugu, and zebrafish genomes, as well as in four invertebrate species. We assembled over 70 new full-length sequences from protein predictions excluding pseudogenes. This resulted in a total of 22 full-length sequences from the human genome, 79 from the mouse genome, 30 from the Fugu genome, and 32 from the zebrafish genome (pseudogenes are not included in these numbers). We show that the vertebrate Glutamate GPCRs form four main phylogenetic groups with a total of eight subgroups (Group I: V2R, TAS1R, GPRC6A, and CASR, Group II: GRM, Group III: GABA together with previously unpublished GPR158 and GPR158L and Group IV: GPRC5). All eight receptor subgroups are present both in mammals and fish, except for GPRC5 and GPR158. The pheromone (V2R), GPRC6, and sweet taste (TAS1) receptors were not found in invertebrates while GRM, GABA, and CASR were found in both C. elegans and C. intestinalis. The pheromone receptors are found in high numbers in mouse, zebrafish and Fugu but are only found as pseudogenes in the human genome. This report provides a comprehensive overview of the expansion/deletions of the groups within the Glutamate receptor family.

Amino Acid Motifs↗

The repertoire of solute carriers of family 6: identification of new human and rodent genes.

Tremendous amount of primary sequence information has been made available from the genome sequencing projects, although a complete annotation and identification of all genes is still far from being complete. Here, we present the identification of two new human genes from the pharmacologically important family of transporter proteins, solute carriers family 6 (SLC6). These were named SLC6A17 and SLC6A18 by HUGO. The human repertoire of SLC6 proteins now consists of 19 functional members and four pseudogenes. We also identified the corresponding orthologues and additional genes from mouse and rat genomes. Detailed phylogenetic analysis of the entire family of SLC6 proteins in mammals shows that this family can be divided into four subgroups. We used Hidden Markov Models for these subgroups and identified in total 430 unique SLC6 proteins from 10 animal, one plant, two fungi, and 196 bacterial genomes. It is evident that SLC6 proteins are present in both animals and bacteria, and that three of the four subfamilies of mammalian SLC6 proteins are present in Caenorhabditis elegans, showing that these subfamilies are evolutionary very ancient. Moreover, we performed tissue localization studies on the entire family of SLC6 proteins on a panel of 15 rat tissues and further, the expression of three of the new genes was studied using quantitative real-time PCR showing expression in multiple central and peripheral tissues. This paper presents an overall overview of the gene repertoire of the SLC6 gene family and its expression profile in rats.

Animals↗

Genetic algorithm for large-scale maximum parsimony phylogenetic analysis of proteins.

Inferring phylogeny is a difficult computational problem. For example, for only 13 taxa, there are more then 13 billion possible unrooted phylogenetic trees. Heuristics are necessary to minimize the time spent evaluating non-optimal trees. We describe here an approach for heuristic searching, using a genetic algorithm, that can reduce the time required for weighted maximum parsimony phylogenetic inference, especially for data sets involving a large number of taxa. It is the first implementation of a weighted maximum parsimony criterion using amino acid sequences. To validate the weighted criterion, we used an artificial data set and compared it to a number of other phylogenetic methods. Genetic algorithms mimic the natural selection's ability to solve complex problems. We have identified several parameters affecting the genetic algorithm. Methods were developed to validate these parameters, ensuring optimal performance. This approach allows the construction of phylogenetic trees with over 200 taxa in practical time on a regular PC.

Algorithms↗

Evaluation of EST-data using the genome assembly.

Using expressed sequence tag (EST) data for genomewide studies requires thorough understanding of the nature of the problems that are related to handling these sequences. We investigated how EST clustering performs when the genome is used as guidance as compared to pairwise sequence alignment methods. We show that clustering with the genome as a template outperforms sequence similarity methods used to create other EST clusters, such as the UniGene set, in respect to the extent ESTs originating from the same transcriptional unit are separated into disjunct clusters. Using our approach, approximately 80% of the RefSeq genes were represented by a single EST cluster and 20% comprised of two or more EST clusters. In contrast, approximately 25% of all RefSeq genes were found to be represented by a single cluster for the UniGene clustering method. The approach minimizes the risk for overestimations due to the amount of disjunct clusters originating from the same transcript. We have also investigated the quality of EST-data by aligning ESTs to the genome. The results show how many ESTs are not adequately trimmed in respect of vector sequences and low quality regions. Moreover, we identified important problems related to ESTs aligned to the genome using BLAT, such as inferring splice junctions, and explained this aspect by simulations with synthetic data. EST-clusters created with the method are available upon request from the authors.

Base Sequence↗

Nine new human Rhodopsin family G-protein coupled receptors: identification, sequence characterisation and evolutionary relationship.

We report nine new members of the Rhodopsin family of human G protein-coupled receptors (GPCRs) found by searches in the genome databases. BLAST searches and phylogenetic analyses showed that only four of the receptors are closely related to previously characterised GPCRs, GPR150 and GPR154 to oxytocin/vasopressin receptors, GPR152 to CRTH2/FPRs and GPR165 to GPR72/NPYR. Four of the receptors, GPR139, GPR146, GPR153 and GPR162, have one other orphan GPCRs as close relative while GPR148 lacks close relatives. We have identified in total 37 orthologues for the new receptors, primarily from rat, mouse, chicken, fugu and zebrafish. GPR162 and GPR139 are remarkably well conserved while GPR148 seems to be evolving rapidly. Analyses using expressed sequence tags (ESTs) indicate that all the new receptors except GPR153 have the CNS as a major site of expression.

Expressed Sequence Tags↗

The GRAFS classification system of G-protein coupled receptors in comparative perspective.

The super-family of G-protein coupled receptors (GPCRs) is one of the largest groups of proteins in vertebrate species. The receptors are very diverse in structure and function but they still share some common structural elements. Our recent phylogenetic studies indicate that most human GPCRs can be grouped into five main families named; Glutamate, Rhodopsin, Adhesion, Frizzled/Taste2, and Secretin, forming the GRAFS classification system. The rhodopsin family is the largest and forms four main groups termed alpha, beta, gamma, and delta with 13 sub-branches. We have evidence that the main families of the GRAFS classification system arose prior to the split of nematodes from the lineage leading to chordates. The major part of all GPCRs in mammalian, fish, tunicate, insect, and nematode species belong to the GRAFS families. The evolution of GPCRs in different phylogenetic branches are, however, very variable as some of the branches are specific for certain lineages such as vertebrates or mammals, while others are found in a much larger variety of species. In this review, we provide an insight in several studies that are being performed to elucidate the evolutionary history of the GPCR family.

Animals↗

The repertoire of G-protein-coupled receptors in fully sequenced genomes.

The superfamily of G-protein-coupled receptors (GPCRs) is one of the largest and most studied families of proteins. We created Hidden Markov Models derived from sorted groups of GPCRs from our previous detailed phylogenetic classification of human GPCRs and added several other models derived from receptors not found in mammals. We used these models to search entire Genscan data sets from 13 species whose genomes are nearly completely sequenced. We found more than 5000 unique GPCRs that were divided into 15 main groups, and the largest one, the Rhodopsin family, was subdivided into 13 subclasses. The results show that the main families in the human genome, Glutamate, Rhodopsin, Adhesion, Frizzled, and Secretin, arose before the split of nematodes from the chordate lineage. Moreover, several of the subgroups of the Rhodopsin family arose before the split of the linage leading to vertebrates. We also searched expressed sequence tag (EST) databases and identified more than 20,000 sequences that match GPCRs. Although the GPCRs represent typically 1 to 2% of the Genscan predictions, the ESTs that match GPCRs are typically only 0.01 to 0.001%, indicating that GPCRs in most of the groups are expressed at low levels. We also provide searchable data sets that may be used for annotation and further detailed analysis of the GPCR family. This study provides an extensive overview of the expansion of the gene repertoire for families and subgroups of GPCRs.

Animals↗

Comparison of the current RefSeq, Ensembl and EST databases for counting genes and gene discovery.

Large amounts of refined sequence material in the form of predicted, curated and annotated genes and expressed sequences tags (ESTs) have recently been added to the NCBI databases. We matched the transcript-sequences of RefSeq, Ensembl and dbEST in an attempt to provide an updated overview of how many unique human genes can be found. The results indicate that there are about 25000 unique genes in the union of RefSeq and Ensembl with 12-18% and 8-13% of the genes in each set unique to the other set, respectively. About 20% of all genes had splice variants. There are a considerable number of ESTs (2200000) that do not match the identified genes and we used an in-house pipeline to identify 22 novel genes from Genscan predictions that have considerable EST coverage. The study provides an insight into the current status of human gene catalogues and shows that considerable refinement of methods and datasets is needed to come to a conclusive gene count.

Alternative Splicing↗