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Understanding Gene Sequence Variation in the Context of Transcription Regulation in Yeast


DNA sequence polymorphism in a regulatory protein can have a widespread transcriptional effect. Here we present a computational approach for analyzing modules of genes with a common regulation that are affected by specific DNA polymorphisms. We identify such regulatory-linkage modules by integrating genotypic and expression data for individuals in a segregating population with complementary expression data of strains mutated in a variety of regulatory proteins. Our procedure searches simultaneously for groups of co-expressed genes, for their common underlying linkage interval, and for their shared regulatory proteins. We applied the method to a cross between laboratory and wild strains of S. cerevisiae, demonstrating its ability to correctly suggest modules and to outperform extant approaches. Our results suggest that middle sporulation genes are under the control of polymorphism in the sporulation-specific tertiary complex Sum1p/Rfm1p/Hst1p. In another example, our analysis reveals novel inter-relations between Swi3 and two mitochondrial inner membrane proteins underlying variation in a module of aerobic cellular respiration genes. Overall, our findings demonstrate that this approach provides a useful framework for the systematic mapping of quantitative trait loci and their role in gene expression variation.


Vyšlo v časopise: Understanding Gene Sequence Variation in the Context of Transcription Regulation in Yeast. PLoS Genet 6(1): e32767. doi:10.1371/journal.pgen.1000800
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1000800

Souhrn

DNA sequence polymorphism in a regulatory protein can have a widespread transcriptional effect. Here we present a computational approach for analyzing modules of genes with a common regulation that are affected by specific DNA polymorphisms. We identify such regulatory-linkage modules by integrating genotypic and expression data for individuals in a segregating population with complementary expression data of strains mutated in a variety of regulatory proteins. Our procedure searches simultaneously for groups of co-expressed genes, for their common underlying linkage interval, and for their shared regulatory proteins. We applied the method to a cross between laboratory and wild strains of S. cerevisiae, demonstrating its ability to correctly suggest modules and to outperform extant approaches. Our results suggest that middle sporulation genes are under the control of polymorphism in the sporulation-specific tertiary complex Sum1p/Rfm1p/Hst1p. In another example, our analysis reveals novel inter-relations between Swi3 and two mitochondrial inner membrane proteins underlying variation in a module of aerobic cellular respiration genes. Overall, our findings demonstrate that this approach provides a useful framework for the systematic mapping of quantitative trait loci and their role in gene expression variation.


Zdroje

1. BremRB

YvertG

ClintonR

KruglyakL

2002 Genetic dissection of transcriptional regulation in budding yeast. Science 296 752 755

2. MorleyM

MolonyCM

WeberTM

DevlinJL

EwensKG

2004 Genetic analysis of genome-wide variation in human gene expression. Nature 430 743 747

3. SchadtEE

LambJ

YangX

ZhuJ

EdwardsS

2005 An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37 710 717

4. LeeSI

Pe'erD

DudleyAM

ChurchGM

KollerD

2006 Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification. Proc Natl Acad Sci U S A 103 14062 14067

5. ZhuJ

ZhangB

SmithEN

DreesB

BremRB

2008 Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks. Nat Genet 40 854 861

6. YvertG

BremRB

WhittleJ

AkeyJM

FossE

2003 Trans-acting regulatory variation in Saccharomyces cerevisiae and the role of transcription factors. Nat Genet 35 57 64

7. TuZ

WangL

ArbeitmanMN

ChenT

SunF

2006 An integrative approach for causal gene identification and gene regulatory pathway inference. Bioinformatics 22 e489 496

8. KliebensteinDJ

WestMA

van LeeuwenH

LoudetO

DoergeRW

2006 Identification of QTLs controlling gene expression networks defined a priori. BMC Bioinformatics 7 308

9. SuthramS

BeyerA

KarpRM

EldarY

IdekerT

2008 eQED: an efficient method for interpreting eQTL associations using protein networks. Mol Syst Biol 4 162

10. SunW

YuT

LiKC

2007 Detection of eQTL modules mediated by activity levels of transcription factors. Bioinformatics 23 2290 2297

11. KulpDC

JagalurM

2006 Causal inference of regulator-target pairs by gene mapping of expression phenotypes. BMC Genomics 7 125

12. LeeSI

DudleyAM

DrubinD

SilverPA

KroganNJ

2009 Learning a prior on regulatory potential from eQTL data. PLoS Genet 5 e1000358

13. LitvinO

CaustonHC

ChenBJ

Pe'erD

2009 Special Feature: Modularity and interactions in the genetics of gene expression. Proc Natl Acad Sci U S A

14. YeC

GalbraithSJ

LiaoJC

EskinE

2009 Using network component analysis to dissect regulatory networks mediated by transcription factors in yeast. PLoS Comput Biol 5 e1000311

15. RobertsCJ

NelsonB

MartonMJ

StoughtonR

MeyerMR

2000 Signaling and circuitry of multiple MAPK pathways revealed by a matrix of global gene expression profiles. Science 287 873 880

16. HuZ

KillionPJ

IyerVR

2007 Genetic reconstruction of a functional transcriptional regulatory network. Nat Genet 39 683 687

17. IhmelsJ

FriedlanderG

BergmannS

SarigO

ZivY

2002 Revealing modular organization in the yeast transcriptional network. Nat Genet 31 370 377

18. SmithEN

KruglyakL

2008 Gene-environment interaction in yeast gene expression. PLoS Biol 6 e83

19. GaisneM

BecamAM

VerdiereJ

HerbertCJ

1999 A ‘natural’ mutation in Saccharomyces cerevisiae strains derived from S288c affects the complex regulatory gene HAP1 (CYP1). Curr Genet 36 195 200

20. FlynnPJ

ReeceRJ

1999 Activation of transcription by metabolic intermediates of the pyrimidine biosynthetic pathway. Mol Cell Biol 19 882 888

21. XieJ

PierceM

Gailus-DurnerV

WagnerM

WinterE

1999 Sum1 and Hst1 repress middle sporulation-specific gene expression during mitosis in Saccharomyces cerevisiae. Embo J 18 6448 6454

22. McCordR

PierceM

XieJ

WonkatalS

MickelC

2003 Rfm1, a novel tethering factor required to recruit the Hst1 histone deacetylase for repression of middle sporulation genes. Mol Cell Biol 23 2009 2016

23. KellisM

PattersonN

EndrizziM

BirrenB

LanderES

2003 Sequencing and comparison of yeast species to identify genes and regulatory elements. Nature 423 241 254

24. CliftenP

SudarsanamP

DesikanA

FultonL

FultonB

2003 Finding functional features in Saccharomyces genomes by phylogenetic footprinting. Science 301 71 76

25. JiangF

RyanMT

SchlameM

ZhaoM

GuZ

2000 Absence of cardiolipin in the crd1 null mutant results in decreased mitochondrial membrane potential and reduced mitochondrial function. J Biol Chem 275 22387 22394

26. StrangerBE

ForrestMS

ClarkAG

MinichielloMJ

DeutschS

2005 Genome-wide associations of gene expression variation in humans. PLoS Genet 1 e78

27. CheslerEJ

LuL

ShouS

QuY

GuJ

2005 Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function. Nat Genet 37 233 242

28. GeissGK

BumgarnerRE

BirdittB

DahlT

DowidarN

2008 Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat Biotechnol 26 317 325

29. ShamirR

Maron-KatzA

TanayA

LinhartC

SteinfeldI

2005 EXPANDER–an integrative program suite for microarray data analysis. BMC Bioinformatics 6 232

30. PrimigM

WilliamsRM

WinzelerEA

TevzadzeGG

ConwayAR

2000 The core meiotic transcriptome in budding yeasts. Nat Genet 26 415 423

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


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