The Cellular Robustness by Genetic Redundancy in Budding Yeast
The frequent dispensability of duplicated genes in budding yeast is heralded as a hallmark of genetic robustness contributed by genetic redundancy. However, theoretical predictions suggest such backup by redundancy is evolutionarily unstable, and the extent of genetic robustness contributed from redundancy remains controversial. It is anticipated that, to achieve mutual buffering, the duplicated paralogs must at least share some functional overlap. However, counter-intuitively, several recent studies reported little functional redundancy between these buffering duplicates. The large yeast genetic interactions released recently allowed us to address these issues on a genome-wide scale. We herein characterized the synthetic genetic interactions for ∼500 pairs of yeast duplicated genes originated from either whole-genome duplication (WGD) or small-scale duplication (SSD) events. We established that functional redundancy between duplicates is a pre-requisite and thus is highly predictive of their backup capacity. This observation was particularly pronounced with the use of a newly introduced metric in scoring functional overlap between paralogs on the basis of gene ontology annotations. Even though mutual buffering was observed to be prevalent among duplicated genes, we showed that the observed backup capacity is largely an evolutionarily transient state. The loss of backup capacity generally follows a neutral mode, with the buffering strength decreasing in proportion to divergence time, and the vast majority of the paralogs have already lost their backup capacity. These observations validated previous theoretic predictions about instability of genetic redundancy. However, departing from the general neutral mode, intriguingly, our analysis revealed the presence of natural selection in stabilizing functional overlap between SSD pairs. These selected pairs, both WGD and SSD, tend to have decelerated functional evolution, have higher propensities of co-clustering into the same protein complexes, and share common interacting partners. Our study revealed the general principles for the long-term retention of genetic redundancy.
Vyšlo v časopise:
The Cellular Robustness by Genetic Redundancy in Budding Yeast. PLoS Genet 6(11): e32767. doi:10.1371/journal.pgen.1001187
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1001187
Souhrn
The frequent dispensability of duplicated genes in budding yeast is heralded as a hallmark of genetic robustness contributed by genetic redundancy. However, theoretical predictions suggest such backup by redundancy is evolutionarily unstable, and the extent of genetic robustness contributed from redundancy remains controversial. It is anticipated that, to achieve mutual buffering, the duplicated paralogs must at least share some functional overlap. However, counter-intuitively, several recent studies reported little functional redundancy between these buffering duplicates. The large yeast genetic interactions released recently allowed us to address these issues on a genome-wide scale. We herein characterized the synthetic genetic interactions for ∼500 pairs of yeast duplicated genes originated from either whole-genome duplication (WGD) or small-scale duplication (SSD) events. We established that functional redundancy between duplicates is a pre-requisite and thus is highly predictive of their backup capacity. This observation was particularly pronounced with the use of a newly introduced metric in scoring functional overlap between paralogs on the basis of gene ontology annotations. Even though mutual buffering was observed to be prevalent among duplicated genes, we showed that the observed backup capacity is largely an evolutionarily transient state. The loss of backup capacity generally follows a neutral mode, with the buffering strength decreasing in proportion to divergence time, and the vast majority of the paralogs have already lost their backup capacity. These observations validated previous theoretic predictions about instability of genetic redundancy. However, departing from the general neutral mode, intriguingly, our analysis revealed the presence of natural selection in stabilizing functional overlap between SSD pairs. These selected pairs, both WGD and SSD, tend to have decelerated functional evolution, have higher propensities of co-clustering into the same protein complexes, and share common interacting partners. Our study revealed the general principles for the long-term retention of genetic redundancy.
Zdroje
1. GiaeverG
ChuAM
NiL
ConnellyC
RilesL
2002 Functional profiling of the Saccharomyces cerevisiae genome. Nature 418 387 391
2. SmithV
ChouKN
LashkariD
BotsteinD
BrownPO
1996 Functional analysis of the genes of yeast chromosome V by genetic footprinting. Science 274 2069 2074
3. WagnerA
2000 Robustness against mutations in genetic networks of yeast. Nat Genet 24 355 361
4. WagnerA
2005 Distributed robustness versus redundancy as causes of mutational robustness. Bioessays 27 176 188
5. GuZ
SteinmetzLM
GuX
ScharfeC
DavisRW
2003 Role of duplicate genes in genetic robustness against null mutations. Nature 421 63 66
6. DeanEJ
DavisJC
DavisRW
PetrovDA
2008 Pervasive and persistent redundancy among duplicated genes in yeast. PLoS Genet 4 e1000113 doi:10.1371/journal.pgen.1000113
7. DeLunaA
VetsigianK
ShoreshN
HegrenessM
Colon-GonzalezM
2008 Exposing the fitness contribution of duplicated genes. Nat Genet 40 676 681
8. MussoG
CostanzoM
HuangfuM
SmithAM
PawJ
2008 The extensive and condition-dependent nature of epistasis among whole-genome duplicates in yeast. Genome Res 18 1092 1099
9. BrookfieldJ
1992 Can genes be truly redundant? Currr Biol 2 553 554
10. LynchM
ConeryJS
2000 The evolutionary fate and consequences of duplicate genes. Science 290 1151 1155
11. ForceA
LynchM
PickettFB
AmoresA
YanYL
1999 Preservation of duplicate genes by complementary, degenerative mutations. Genetics 151 1531 1545
12. LynchM
ForceA
2000 The probability of duplicate gene preservation by subfunctionalization. Genetics 154 459 473
13. OhnoS
1970 Evolution by gene duplication New York Springer-Verlag xv, 160
14. IhmelsJ
CollinsSR
SchuldinerM
KroganNJ
WeissmanJS
2007 Backup without redundancy: genetic interactions reveal the cost of duplicate gene loss. Mol Syst Biol 3 86
15. CostanzoM
BaryshnikovaA
BellayJ
KimY
SpearED
2010 The genetic landscape of a cell. Science 327 425 431
16. GuanY
DunhamMJ
TroyanskayaOG
2007 Functional analysis of gene duplications in Saccharomyces cerevisiae. Genetics 175 933 943
17. KellisM
BirrenBW
LanderES
2004 Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae. Nature 428 617 624
18. KellisM
PattersonN
BirrenB
BergerB
LanderES
2004 Methods in comparative genomics: genome correspondence, gene identification and regulatory motif discovery. J Comput Biol 11 319 355
19. PappB
PalC
HurstLD
2003 Evolution of cis-regulatory elements in duplicated genes of yeast. Trends Genet 19 417 422
20. HakesL
PinneyJW
LovellSC
OliverSG
RobertsonDL
2007 All duplicates are not equal: the difference between small-scale and genome duplication. Genome Biol 8 R209
21. KafriR
Bar-EvenA
PilpelY
2005 Transcription control reprogramming in genetic backup circuits. Nat Genet 37 295 299
22. GuoX
LiuR
ShriverCD
HuH
LiebmanMN
2006 Assessing semantic similarity measures for the characterization of human regulatory pathways. Bioinformatics 22 967 973
23. LiW-H
1997 Molecular evolution Sunderland, Mass. Sinauer Associates xv, 487
24. DavisJC
PetrovDA
2005 Do disparate mechanisms of duplication add similar genes to the genome? Trends Genet 21 548 551
25. WolfeKH
ShieldsDC
1997 Molecular evidence for an ancient duplication of the entire yeast genome. Nature 387 708 713
26. GrahamLA
StevensTH
1999 Assembly of the yeast vacuolar proton-translocating ATPase. J Bioenerg Biomembr 31 39 47
27. Kawasaki-NishiS
NishiT
ForgacM
2001 Yeast V-ATPase complexes containing different isoforms of the 100-kDa a-subunit differ in coupling efficiency and in vivo dissociation. J Biol Chem 276 17941 17948
28. ManolsonMF
ProteauD
PrestonRA
StenbitA
RobertsBT
1992 The VPH1 gene encodes a 95-kDa integral membrane polypeptide required for in vivo assembly and activity of the yeast vacuolar H(+)-ATPase. J Biol Chem 267 14294 14303
29. ManolsonMF
WuB
ProteauD
TaillonBE
RobertsBT
1994 STV1 gene encodes functional homologue of 95-kDa yeast vacuolar H(+)-ATPase subunit Vph1p. J Biol Chem 269 14064 14074
30. BreitkreutzBJ
StarkC
RegulyT
BoucherL
BreitkreutzA
2008 The BioGRID Interaction Database: 2008 update. Nucleic Acids Res 36 D637 640
31. MussoG
ZhangZ
EmiliA
2007 Retention of protein complex membership by ancient duplicated gene products in budding yeast. Trends Genet
32. HeX
ZhangJ
2006 Higher duplicability of less important genes in yeast genomes. Mol Biol Evol 23 144 151
33. PappB
PalC
HurstLD
2003 Dosage sensitivity and the evolution of gene families in yeast. Nature 424 194 197
34. YangZ
1997 PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci 13 555 556
35. LordPW
StevensRD
BrassA
GobleCA
2003 Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation. Bioinformatics 19 1275 1283
36. XuT
DuL
ZhouY
2008 Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data. BMC Bioinformatics 9 472
37. AshburnerM
BallCA
BlakeJA
BotsteinD
ButlerH
2000 Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 25 25 29
38. GaschAP
SpellmanPT
KaoCM
Carmel-HarelO
EisenMB
2000 Genomic expression programs in the response of yeast cells to environmental changes. Mol Biol Cell 11 4241 4257
39. HughesTR
MartonMJ
JonesAR
RobertsCJ
StoughtonR
2000 Functional discovery via a compendium of expression profiles. Cell 102 109 126
40. SpellmanPT
SherlockG
ZhangMQ
IyerVR
AndersK
1998 Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol Biol Cell 9 3273 3297
41. JonesDT
1999 Protein secondary structure prediction based on position-specific scoring matrices. J Mol Biol 292 195 202
42. ZhangS
YangL
WangT
2009 Use of information discrepancy measure to compare protein secondary structures. J Mol Struct: THEOCHEM 909 102 106
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
2010 Číslo 11
- Je „freeze-all“ pro všechny? Odborníci na fertilitu diskutovali na virtuálním summitu
- Gynekologové a odborníci na reprodukční medicínu se sejdou na prvním virtuálním summitu
Najčítanejšie v tomto čísle
- Genome-Wide Association Study Identifies Two Novel Regions at 11p15.5-p13 and 1p31 with Major Impact on Acute-Phase Serum Amyloid A
- Analysis of the 10q11 Cancer Risk Locus Implicates and in Human Prostate Tumorigenesis
- The Parental Non-Equivalence of Imprinting Control Regions during Mammalian Development and Evolution
- A Functional Genomics Approach Identifies Candidate Effectors from the Aphid Species (Green Peach Aphid)