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Trait Genes (trait + gene)

Distribution by Scientific Domains

Life Sciences	100%

Distribution within Life Sciences

Evolution	25%

Kinds of Trait Genes

candidate quantitative trait gene

Selected Abstracts

Shuttle craft: a candidate quantitative trait gene for Drosophila lifespan

AGING CELL, Issue 5 2004
Elena G. Pasyukova
Summary Variation in longevity in natural populations is attributable to the segregation of multiple interacting loci, whose effects are sensitive to the environment. Although there has been considerable recent progress towards understanding the environmental factors and genetic pathways that regulate lifespan, little is known about the genes causing naturally occurring variation in longevity. Previously, we used deficiency complementation mapping to map two closely linked quantitative trait loci (QTL) causing female-specific variation in longevity between the Oregon (Ore) and 2b strains of Drosophila melanogaster to 35B9,C3 and 35C3 on the second chromosome. The 35B9,C3 QTL encompasses a 50-kb region including four genes, for one of which, shuttle craft (stc), mutations have been generated. The 35C3 QTL localizes to a 200-kb interval with 15 genes, including three genes for which mutations exist (reduced (rd), guftagu (gft) and ms(2)35Ci). Here, we report quantitative complementation tests to mutations at these four positional candidate genes, and show that ms(2)35Ci and stc are novel candidate quantitative trait genes affecting variation in Drosophila longevity. Complementation tests with stc alleles reveal sex- and allele-specific failure to complement, and complementation effects are dependent on the genetic background, indicating considerable epistasis for lifespan. In addition, a homozygous viable stc allele has a sex-specific effect on lifespan. stc encodes an RNA polymerase II transcription factor, and is an attractive candidate gene for the regulation of longevity and variation in longevity, because it is required for motoneuron development and is expressed throughout development. Quantitative genetic analysis of naturally occurring variants with subtle effects on lifespan can identify novel candidate genes and pathways important in the regulation of longevity. [source]

Score Statistic to Test for Genetic Correlation for Proband-Family Design

ANNALS OF HUMAN GENETICS, Issue 4 2005
R. El Galta
Summary In genetic epidemiological studies informative families are often oversampled to increase the power of a study. For a proband-family design, where relatives of probands are sampled, we derive the score statistic to test for clustering of binary and quantitative traits within families due to genetic factors. The derived score statistic is robust to ascertainment scheme. We considered correlation due to unspecified genetic effects and/or due to sharing alleles identical by descent (IBD) at observed marker locations in a candidate region. A simulation study was carried out to study the distribution of the statistic under the null hypothesis in small data-sets. To illustrate the score statistic, data from 33 families with type 2 diabetes mellitus (DM2) were analyzed. In addition to the binary outcome DM2 we also analyzed the quantitative outcome, body mass index (BMI). For both traits familial aggregation was highly significant. For DM2, also including IBD sharing at marker D3S3681 as a cause of correlation gave an even more significant result, which suggests the presence of a trait gene linked to this marker. We conclude that for the proband-family design the score statistic is a powerful and robust tool for detecting clustering of outcomes. [source]

Characterization of the quantitative trait locus for haloperidol-induced catalepsy on distal mouse chromosome 1

GENES, BRAIN AND BEHAVIOR, Issue 2 2008
J. R. Hofstetter
We report here the confirmation of the quantitative trait locus for haloperidol-induced catalepsy on distal chromosome (Chr) 1. We determined that this quantitative trait locus was captured in the B6.D2- Mtv7a/Ty congenic mouse strain, whose introgressed genomic interval extends from approximately 169.1 to 191.3 Mb. We then constructed a group of overlapping interval-specific congenic strains to further break up the interval and remapped the locus between 177.5 and 183.4 Mb. We next queried single nucleotide polymorphism (SNP) data sets and identified three genes with nonsynonymous coding SNPs in the quantitative trait locus. We also queried two brain gene expression data sets and found five known genes in this 5.9-Mb interval that are differentially expressed in both whole brain and striatum. Three of the candidate quantitative trait genes were differentially expressed using quantitative real-time polymerase chain reaction analyses. Overall, the current study illustrates how multiple approaches, including congenic fine mapping, SNP analysis and microarray gene expression screens, can be integrated both to reduce the quantitative trait locus interval significantly and to detect promising candidate quantitative trait genes. [source]

A score for Bayesian genome screening

GENETIC EPIDEMIOLOGY, Issue 3 2003
E. Warwick Daw
Abstract Bayesian Monte Carlo Markov chain (MCMC) techniques have shown promise in dissecting complex genetic traits. The methods introduced by Heath ([1997], Am. J. Hum. Genet. 61:748,760), and implemented in the program Loki, have been able to localize genes for complex traits in both real and simulated data sets. Loki estimates the posterior probability of quantitative trait loci (QTL) at locations on a chromosome in an iterative MCMC process. Unfortunately, interpretation of the results and assessment of their significance have been difficult. Here, we introduce a score, the log of the posterior placement probability ratio (LOP), for assessing oligogenic QTL detection and localization. The LOP is the log of the posterior probability of linkage to the real chromosome divided by the posterior probability of linkage to an unlinked pseudochromosome, with marker informativeness similar to the marker data on the real chromosome. Since the LOP cannot be calculated exactly, we estimate it in simultaneous MCMC on both real and pseudochromosomes. We investigate empirically the distributional properties of the LOP in the presence and absence of trait genes. The LOP is not subject to trait model misspecification in the way a lod score may be, and we show that the LOP can detect linkage for loci of small effect when the lod score cannot. We show how, in the absence of linkage, an empirical distribution of the LOP may be estimated by simulation and used to provide an assessment of linkage detection significance. Genet Epidemiol 24:181,190, 2003. © 2003 Wiley-Liss, Inc. [source]

Shuttle craft: a candidate quantitative trait gene for Drosophila lifespan

Functional and geographical differentiation of candidate balanced polymorphisms in Arabidopsis thaliana

MOLECULAR ECOLOGY, Issue 13 2009
JENNIFER M. REININGA
Abstract Molecular population genetic analysis of three chromosomal regions in Arabidopsis thaliana suggested that balancing selection might operate to maintain variation at three novel candidate adaptive trait genes, including SOLUBLE STARCH SYNTHASE I (SSI), PLASTID TRANSCRIPTIONALLY ACTIVE 7(PTAC7), and BELL-LIKE HOMEODOMAIN 10 (BLH10). If balanced polymorphisms are indeed maintained at these loci, then we would expect to observe functional variation underlying the previously detected signatures of selection. We observe multiple replacement polymorphisms within and in the 32 amino acids just upstream of the protein,protein interacting BELL domain at the BLH10 locus. While no clear protein sequence differences are found between allele types in SSI and PTAC7, these two genes show evidence for allele-specific variation in expression levels. Geographical patterns of allelic differentiation seem consistent with population stratification in this species and a significant longitudinal cline was observed at all three candidate loci. These data support a hypothesis of balancing selection at all three candidate loci and provide a basis for more detailed functional work by identifying possible functional differences that might be selectively maintained. [source]

Revealing frequent alternative polyadenylation and widespread low-level transcription read-through of novel plant transcription terminators

PLANT BIOTECHNOLOGY JOURNAL, Issue 7 2010
Aiqiu Xing
Summary Plant genetic engineering can create transgenic crops with improved characteristics by introducing trait genes through transformation. Appropriate regulatory elements such as promoters and terminators have to be present in certain configurations for the transgenes to be properly expressed. Five terminators native to soybean genes-encoding a MYB family transcription factor (MYB2), a Kunitz trypsin inhibitor (KTI1), a plasma membrane intrinsic protein (PIP1), a translation elongation factor (EF1A2) and a metallothionein protein (MTH1) were cloned and tested for their ability to enable transgene expression, mRNA polyadenylation and transcription termination. The terminators are as good as a control terminator of the potato proteinase inhibitor II gene (PINII) in conferring proper transgene expression, leading to mRNAs with various polyadenylation sites and terminating mRNA transcripts. RNA transcription read-through was detected in all transgenic plants and was quantified by qRT-PCR to be <1% at positions ,1 kb downstream of the 5, ends of different terminators. The detection of read-through RNA transcripts of the corresponding endogenous genes up to approximately 1 kb beyond the polyadenylation sites suggests that limited RNA transcription read-through is a normal phenomenon of gene expression. The study also provided more choices of terminators for plant genetic engineering when constructing DNA constructs containing multiple gene expression cassettes. [source]

Influence of genotype and geography on shell shape and morphometric trait variation among North Atlantic blue mussel (Mytilus spp.) populations

BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY, Issue 4 2009
JONATHAN P. A. GARDNER
The influence of geography and genotype on shell shape (outline) and trait (morphometric) variation among North Atlantic blue mussels and their hybrids has been examined. Shape differences among reference taxa (Mytilus trossulus, Mytilus edulis and Mytilus galloprovincialis) were consistent with an association between taxon-specific genes and shape genes. Newfoundland M. edulis × M. trossulus populations and northern Quebec M. trossulus populations exhibited an uncoupling of taxon-specific genes from shape genes, whereas Nova Scotia M. trossulus populations and SW England M. edulis × M. galloprovincialis populations exhibited an association between taxon-specific genes and shape genes. We found no evidence of a geographic effect (NE versus NW Atlantic) for shape variation, indicating that the genotype effect is stronger than any geographic effect at macrogeographic scales. Pronounced differences were observed in trait variability consistent with an association between taxon-specific genes and trait genes in European populations, and trait divergence of New York M. edulis from all European mussels. Trait variability in mussels from Newfoundland, Nova Scotia and northern Quebec indicated an uncoupling of taxon genes from trait genes, whereas trait variability in SW England M. edulis × M. galloprovincialis populations was consistent with background genotype, indicating a strong association between taxon genes and trait genes. A pronounced macrogeographic split (NE versus NW Atlantic) regardless of taxonomy was observed, indicating that geography exerts a greater influence than genotype on trait variation at the macrogeographic scale. This is consistent with pronounced within-taxon genetic divergence, indicative of different selection regimes or more likely of different evolutionary histories of mussels on either side of the North Atlantic. © 2009 The Linnean Society of London, Biological Journal of the Linnean Society, 2009, 96, 875,897. [source]