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A rapid genotyping assay for segregating human olfactory receptor pseudogenes.

ABSTRACT: Variation in odor perception between individuals is initiated by binding of "odorant" molecules to olfactory receptors (ORs) located in the nasal cavity. To determine the mechanism for variation in odor perception, identification of specific ligands for a large number of ORs is required. However, it has been difficult to identify specific ligands, and ligands have been identified for only 2-3% of the hundreds of mammalian ORs. One way to increase the number of identified ligands is to take advantage of >60 human OR genes that are segregating as a result of a single nucleotide polymorphism, between a functional intact allele and a nonfunctional pseudogene allele. Potential ligands for these ORs can be identified by correlating odor perception of an individual with their genotype [intact/intact (I/I) vs. pseudogene/pseudogene (P/P)] for an OR gene. For this type of study, genotypes must be determined for a large number of individuals. We have developed a PCR-based assay to distinguish between the intact and pseudogene alleles of 49 segregating human OR genes and to determine an individual's genotype for these genes. To facilitate rapid determination of genotypes for a large number of individuals, the assay uses a small number of simple steps and equipment commonly found in most molecular biology and biochemistry laboratories. Although this assay was developed to distinguish between polymorphisms in OR genes, it can easily be adapted for use in distinguishing single nucleotide polymorphisms in any gene or chromosomal locus.

SUBMITTER: Hinkley CS

PROVIDER: S-EPMC3365660 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundOlfactory receptors (ORs), the largest mammalian gene superfamily (900-1400 genes), has >50% pseudogenes in humans. While most of these inactive genes are identified via coding frame (nonsense) disruptions, seemingly intact genes may also be inactive due to other deleterious (missense) mutations. An ultimate assessment of the actual size of the functional human OR repertoire thus requires an accurate distinction between genes and pseudogenes.ResultsTo characterize inactive ORs with intact open reading frame, we have developed a probabilistic Classifier for Olfactory Receptor Pseudogenes (CORP). This algorithm is based on deviations from a functionally crucial consensus, constituting sixty highly conserved positions identified by a comparison of two evolutionarily-constrained OR repertoires (mouse and dog) with a small pseudogene fraction. We used a logistic regression analysis to assign appropriate coefficients to the conserved position and thus achieving maximal separation between active and inactive ORs. Consequently, the algorithms identified only 5% of the mouse functional ORs as pseudogenes, setting an upper limit of 0.05 to the false positive detection. Finally we used this algorithm to classify the 384 purportedly intact human OR genes. Of these, 135 were predicted as likely encoding non-functional proteins, and 38 were segregating between active and inactive forms due to missense polymorphisms.ConclusionWe demonstrated that the CORP algorithm is capable to distinguish between functional and non-functional OR genes with high precision even when the encoded protein would differ by a single amino acid. Using the CORP algorithm, we predict that approximately 70% of human OR genes are likely non-functional pseudogenes, a much higher number than hitherto suspected. The method we present may be employed for better annotation of inactive members in other gene families as well. CORP algorithm is available at: http://bioportal.weizmann.ac.il/HORDE/CORP/

Project description:Olfactory perception is mediated by a large array of olfactory receptor genes. The human genome contains 851 olfactory receptor gene loci. More than 50% of the loci are annotated as nonfunctional due to frame-disrupting mutations. Furthermore haplotypic missense alleles can be nonfunctional resulting from substitution of key amino acids governing protein folding or interactions with signal transduction components. Beyond their role in odor recognition, functional olfactory receptors are also required for a proper targeting of olfactory neuron axons to their corresponding glomeruli in the olfactory bulb. Therefore, we anticipate that profiling of olfactory receptor gene expression in whole human olfactory mucosa and analysis in the human population of their expression should provide an opportunity to select the frequently expressed and potentially functional olfactory receptors in view of a systematic deorphanization. To address this issue, we designed a TaqMan Low Density Array (Applied Biosystems), containing probes for 356 predicted human olfactory receptor loci to investigate their expression in whole human olfactory mucosa tissues from 26 individuals (13 women, 13 men; aged from 39 to 81 years, with an average of 67±11 years for women and 63±12 years for men). Total RNA isolation, DNase treatment, RNA integrity evaluation and reverse transcription were performed for these 26 samples. Then 384 targeted genes (including endogenous control genes and reference genes specifically expressed in olfactory epithelium for normalization purpose) were analyzed using the same real-time reverse transcription PCR platform. On average, the expression of 273 human olfactory receptor genes was observed in the 26 selected whole human olfactory mucosa analyzed, of which 90 were expressed in all 26 individuals. Most of the olfactory receptors deorphanized to date on the basis of sensitivity to known odorant molecules, which are described in the literature, were found in the expressed olfactory receptors gene set.

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A rapid genotyping assay for segregating human olfactory receptor pseudogenes.

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