Literature DB >> 11958543

Mapping of QTL influencing saccharin consumption in the selectively bred alcohol-preferring and -nonpreferring rat lines.

T Foroud1, P Bice, P Castelluccio, R Bo, A Ritchotte, R Stewart, L Lumeng, T K Li, L Carr.   

Abstract

The inbred preferring (iP) and nonpreferring (iNP) rat strains were derived from the selectively bred alcohol-preferring (P) and alcohol-nonpreferring (NP) lines. Previously, 381 iP x iNP F2 progeny were generated to identify quantitative trait loci (QTLs) influencing alcohol consumption and preference. Saccharin consumption (ml/48 h) and saccharin intake (ml/kg/day) were also measured in the F2 sample and were significantly correlated with both alcohol consumption and preference (all r > or = .20, p < .0001), suggesting that there might be some QTLs influencing both saccharin and alcohol phenotypes. We have performed a genome screen using F2 animals with extreme saccharin or alcohol consumption to identify QTLs contributing to saccharin-related phenotypes. Lod scores greater than 2.0 were found on chromosomes 3, 16 and 18 in this sample. Additional genotyping was performed in these regions in the full sample of 381 F2 progeny to further characterize these putative QTLs. On chromosome 3, the maximum lod score in the full sample was 2.7 with saccharin consumption. This QTL appears to overlap with a QTL identified for alcohol consumption in the iP and iNP lines and has pleiotropic effects on both phenotypes. Interestingly, this region of rat chromosome 3 is syntenic with mouse chromosome 2, where a QTL influencing alcohol preference has been previously reported. The QTL on chromosome 16 has a maximum lod score of 4.0 with saccharin intake and 2.6 with saccharin consumption. The QTL on chromosome 18 has a maximum lod score of 2.7 with saccharin consumption. Taken together, these data provide the first results of a genome screen for QTLs contributing to saccharin phenotypes in the rat.

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Year:  2002        PMID: 11958543     DOI: 10.1023/a:1014459912935

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  12 in total

Review 1.  Human and laboratory rodent low response to alcohol: is better consilience possible?

Authors:  John C Crabbe; Richard L Bell; Cindy L Ehlers
Journal:  Addict Biol       Date:  2010-04       Impact factor: 4.280

2.  Strain differences in the neural, behavioral, and molecular correlates of sweet and salty taste in naive, ethanol- and sucrose-exposed P and NP rats.

Authors:  Jamison Coleman; Ashley Williams; Tam-Hao T Phan; Shobha Mummalaneni; Pamela Melone; Zuojun Ren; Huiping Zhou; Sunila Mahavadi; Karnam S Murthy; Tadayoshi Katsumata; John A DeSimone; Vijay Lyall
Journal:  J Neurophysiol       Date:  2011-08-17       Impact factor: 2.714

3.  Genetics of sweet taste preferences.

Authors:  Alexander A Bachmanov; Natalia P Bosak; Wely B Floriano; Masashi Inoue; Xia Li; Cailu Lin; Vladimir O Murovets; Danielle R Reed; Vasily A Zolotarev; Gary K Beauchamp
Journal:  Flavour Fragr J       Date:  2011-07       Impact factor: 2.576

4.  Differential neural representation of oral ethanol by central taste-sensitive neurons in ethanol-preferring and genetically heterogeneous rats.

Authors:  Christian H Lemon; David M Wilson; Susan M Brasser
Journal:  J Neurophysiol       Date:  2011-09-14       Impact factor: 2.714

5.  Gene expression within the extended amygdala of 5 pairs of rat lines selectively bred for high or low ethanol consumption.

Authors:  William J McBride; Mark W Kimpel; Jeanette N McClintick; Zheng-Ming Ding; Petri Hyytia; Giancarlo Colombo; Tiebing Liang; Howard J Edenberg; Lawrence Lumeng; Richard L Bell
Journal:  Alcohol       Date:  2013-10-01       Impact factor: 2.405

6.  Derivation and characterization of replicate high- and low-alcohol preferring lines of mice and a high-drinking crossed HAP line.

Authors:  Brandon Oberlin; Christina Best; Liana Matson; Angela Henderson; Nicholas Grahame
Journal:  Behav Genet       Date:  2010-09-19       Impact factor: 2.805

7.  No relationship between sequence variation in protein coding regions of the Tas1r3 gene and saccharin preference in rats.

Authors:  Ke Lu; Amanda H McDaniel; Michael G Tordoff; Xia Li; Gary K Beauchamp; Alexander A Bachmanov; Dennis A VanderWeele; Clinton D Chapman; Nancy K Dess; Liquan Huang; Hong Wang; Danielle R Reed
Journal:  Chem Senses       Date:  2005-03-01       Impact factor: 3.160

8.  Genetics of sweet taste preferences.

Authors:  Alexander A Bachmanov; Danielle R Reed; Xia Li; Gary K Beauchamp
Journal:  Pure Appl Chem       Date:  2002-07-01       Impact factor: 2.453

9.  Functional gene expression differences between inbred alcohol-preferring and -non-preferring rats in five brain regions.

Authors:  Mark W Kimpel; Wendy N Strother; Jeanette N McClintick; Lucinda G Carr; Tiebing Liang; Howard J Edenberg; William J McBride
Journal:  Alcohol       Date:  2007-03       Impact factor: 2.405

Review 10.  Alcohol sensory processing and its relevance for ingestion.

Authors:  Susan M Brasser; Norma Castro; Brian Feretic
Journal:  Physiol Behav       Date:  2014-10-07
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