Genotype and expression analysis of two inbred mouse strains and two derived congenic strains suggest that most gene expression is trans regulated and sensitive to genetic background

被引:8
作者
Noyes, Harry A. [1 ]
Agaba, Morris [2 ]
Anderson, Susan [4 ,5 ]
Archibald, Alan L. [4 ,5 ]
Brass, Andy [6 ]
Gibson, John [2 ,7 ]
Hall, Laurence [4 ,5 ]
Hulme, Helen [6 ]
Oh, Sung Jong [3 ]
Kemp, Stephen [1 ,2 ]
机构
[1] Univ Liverpool, Sch Biol Sci, Liverpool L69 3BX, Merseyside, England
[2] Int Livestock Res Inst, Nairobi, Kenya
[3] Rural Dev Adm, Natl Inst Anim Sci, Suwon, South Korea
[4] Univ Edinburgh, Roslin Inst, Roslin, Midlothian, Scotland
[5] Univ Edinburgh, Royal Dick Sch Vet Studies, Roslin, Midlothian, Scotland
[6] Univ Manchester, Fac Life Sci, Sch Comp Sci, Manchester, Lancs, England
[7] Univ New England, Sch Sci & Technol, Armidale, NSW, Australia
来源
BMC GENOMICS | 2010年 / 11卷
基金
英国惠康基金;
关键词
QUANTITATIVE TRAIT LOCI; COMPLEX TRAITS; MICE; TRYPANOSOMIASIS; RESISTANCE; TRANSCRIPTION; CHOLESTEROL; INFECTION; RESOURCE; MODEL;
D O I
10.1186/1471-2164-11-361
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Differences in gene expression may be caused by nearby DNA polymorphisms (cis regulation) or by interactions of gene control regions with polymorphic transcription factors (trans regulation). Trans acting loci are much harder to detect than cis acting loci and their effects are much more sensitive to genetic background. Results: To quantify cis and trans regulation we correlated haplotype data with gene expression in two inbred mouse strains and two derived congenic lines. Upstream haplotype differences between the parental strains suggested that 30-43% of differentially expressed genes were differentially expressed because of cis haplotype differences. These cis regulated genes displayed consistent and relatively tissue-independent differential expression. We independently estimated from the congenic mice that 71-85% of genes were trans regulated. Cis regulated genes were associated with low p values (p < 0.005) for differential expression, whereas trans regulated genes were associated with values 0.005 < p < 0.05. The genes differentially expressed between congenics and controls were not a subset of those that were differentially expressed between the founder lines, showing that these were dependent on genetic background. For example, the cholesterol synthesis pathway was strongly differentially expressed in the congenic mice by indirect trans regulation but this was not observable in the parental mice. Conclusions: The evidence that most gene regulation is trans and strongly influenced by genetic background, suggests that pathways that are modified by an allelic variant, may only exhibit differential expression in the specific genetic backgrounds in which they were identified. This has significant implications for the interpretation of any QTL mapping study.
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页数:11
相关论文
共 33 条
[1]   Sequence Polymorphisms Cause Many False cis eQTLs [J].
Alberts, Rudi ;
Terpstra, Peter ;
Li, Yang ;
Breitling, Rainer ;
Nap, Jan-Peter ;
Jansen, Ritsert C. .
PLOS ONE, 2007, 2 (07)
[2]   Quantitative trait loci for resistance to Heligmosomoides bakeri and associated immunological and pathological traits in mice: comparison of loci on chromosomes 5, 8 and 11 in F2 and F6/7 inter-cross lines of mice [J].
Behnke, J. M. ;
Menge, D. M. ;
Nagda, S. ;
Noyes, H. ;
Iraqi, F. A. ;
Kemp, S. J. ;
Mugambi, R. J. M. ;
Baker, R. L. ;
Wakelin, D. ;
Gibson, J. P. .
PARASITOLOGY, 2010, 137 (02) :311-320
[3]   Genetical Genomics: Spotlight on QTL Hotspots [J].
Breitling, Rainer ;
Li, Yang ;
Tesson, Bruno M. ;
Fu, Jingyuan ;
Wu, Chunlei ;
Wiltshire, Tim ;
Gerrits, Alice ;
Bystrykh, Leonid V. ;
de Haan, Gerald ;
Su, Andrew I. ;
Jansen, Ritsert C. .
PLOS GENETICS, 2008, 4 (10)
[4]   The Collaborative Cross, a community resource for the genetic analysis of complex traits [J].
Churchill, G ;
Airey, DC ;
Allayee, H ;
Angel, JM ;
Attie, AD ;
Beatty, J ;
Beavis, WD ;
Belknap, JK ;
Bennett, B ;
Berrettini, W ;
Bleich, A ;
Bogue, M ;
Broman, KW ;
Buck, KJ ;
Buckler, E ;
Burmeister, M ;
Chesler, EJ ;
Cheverud, JM ;
Clapcote, S ;
Cook, MN ;
Cox, RD ;
Crabbe, JC ;
Crusio, WE ;
Darvasi, A ;
Deschnepper, CF ;
Doerge, RW ;
Farber, CR ;
Forejt, J ;
Gaile, D ;
Garlow, SJ ;
Geiger, H ;
Gershenfeld, H ;
Gordon, T ;
Gu, J ;
Gu, WK ;
de Haan, G ;
Hayes, NL ;
Heller, C ;
Himmelbauer, H ;
Hitzemann, R ;
Hunter, K ;
Hsu, HC ;
Iraqi, FA ;
Ivandic, B ;
Jacob, HJ ;
Jansen, RC ;
Jjepsen, KJ ;
Johnson, DK ;
Johnson, TE ;
Kempermann, G .
NATURE GENETICS, 2004, 36 (11) :1133-1137
[5]   Genetical genomics in humans and model organisms [J].
de Koning, DJ ;
Haley, CS .
TRENDS IN GENETICS, 2005, 21 (07) :377-381
[6]   The transcriptional consequences of mutation and natural selection in Caenorhabditis elegans [J].
Denver, DR ;
Morris, K ;
Streelman, JT ;
Kim, SK ;
Lynch, M ;
Thomas, WK .
NATURE GENETICS, 2005, 37 (05) :544-548
[7]  
Felsenstein J., 2004, Phylip (phylogeny inference package) version 3.6
[8]   A systematic strategy for large-scale analysis of genotype-phenotype correlations: identification of candidate genes involved in African trypanosomiasis [J].
Fisher, Paul ;
Hedeler, Cornelia ;
Wolstencroft, Katherine ;
Hulme, Helen ;
Noyes, Harry ;
Kemp, Stephen ;
Stevens, Robert ;
Brass, Andrew .
NUCLEIC ACIDS RESEARCH, 2007, 35 (16) :5625-5633
[9]  
Frazer K.A., 2007, NATURE
[10]   The quantitative genetics of transcription [J].
Gibson, G ;
Weir, B .
TRENDS IN GENETICS, 2005, 21 (11) :616-623