#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Evolution after Introduction of a Novel Metabolic Pathway Consistently Leads to Restoration of Wild-Type Physiology


Organisms cope with physiological stressors through acclimatizing mechanisms in the short-term and adaptive mechanisms over evolutionary timescales. During adaptation to an environmental or genetic perturbation, beneficial mutations can generate numerous physiological changes: some will be novel with respect to prior physiological states, while others might either restore acclimatizing responses to a wild-type state, reinforce them further, or leave them unchanged. We examined the interplay of acclimatizing and adaptive responses at the level of global gene expression in Methylobacterium extorquens AM1 engineered with a novel central metabolism. Replacing central metabolism with a distinct, foreign pathway resulted in much slower growth than wild-type. After 600 generations of adaptation, however, eight replicate populations founded from this engineered ancestor had improved up to 2.5-fold. A comparison of global gene expression in wild-type, engineered, and all eight evolved strains revealed that the vast majority of changes during physiological adaptation effectively restored acclimatizing processes to wild-type expression states. On average, 93% of expression perturbations from the engineered strain were restored, with 70% of these occurring in perfect parallel across all eight replicate populations. Novel changes were common but typically restricted to one or a few lineages, and reinforcing changes were quite rare. Despite this, cases in which expression was novel or reinforced in parallel were enriched for loci harboring beneficial mutations. One case of parallel, reinforced changes was the pntAB transhydrogenase that uses NADH to reduce NADP+ to NADPH. We show that PntAB activity was highly correlated with the restoration of NAD(H) and NADP(H) pools perturbed in the engineered strain to wild-type levels, and with improved growth. These results suggest that much of the evolved response to genetic perturbation was a consequence rather than a cause of adaptation and that physiology avoided “reinventing the wheel” by restoring acclimatizing processes to the pre-stressed state.


Vyšlo v časopise: Evolution after Introduction of a Novel Metabolic Pathway Consistently Leads to Restoration of Wild-Type Physiology. PLoS Genet 9(4): e32767. doi:10.1371/journal.pgen.1003427
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003427

Souhrn

Organisms cope with physiological stressors through acclimatizing mechanisms in the short-term and adaptive mechanisms over evolutionary timescales. During adaptation to an environmental or genetic perturbation, beneficial mutations can generate numerous physiological changes: some will be novel with respect to prior physiological states, while others might either restore acclimatizing responses to a wild-type state, reinforce them further, or leave them unchanged. We examined the interplay of acclimatizing and adaptive responses at the level of global gene expression in Methylobacterium extorquens AM1 engineered with a novel central metabolism. Replacing central metabolism with a distinct, foreign pathway resulted in much slower growth than wild-type. After 600 generations of adaptation, however, eight replicate populations founded from this engineered ancestor had improved up to 2.5-fold. A comparison of global gene expression in wild-type, engineered, and all eight evolved strains revealed that the vast majority of changes during physiological adaptation effectively restored acclimatizing processes to wild-type expression states. On average, 93% of expression perturbations from the engineered strain were restored, with 70% of these occurring in perfect parallel across all eight replicate populations. Novel changes were common but typically restricted to one or a few lineages, and reinforcing changes were quite rare. Despite this, cases in which expression was novel or reinforced in parallel were enriched for loci harboring beneficial mutations. One case of parallel, reinforced changes was the pntAB transhydrogenase that uses NADH to reduce NADP+ to NADPH. We show that PntAB activity was highly correlated with the restoration of NAD(H) and NADP(H) pools perturbed in the engineered strain to wild-type levels, and with improved growth. These results suggest that much of the evolved response to genetic perturbation was a consequence rather than a cause of adaptation and that physiology avoided “reinventing the wheel” by restoring acclimatizing processes to the pre-stressed state.


Zdroje

1. CooperTF, RozenDE, LenskiRE (2003) Parallel changes in gene expression after 20,000 generations of evolution in Escherichia coli. P Natl Acad Sci Usa 100: 1072–1077 doi:10.1073/pnas.0334340100.

2. CooperTF, RemoldSK, LenskiRE, SchneiderD (2008) Expression profiles reveal parallel evolution of epistatic interactions involving the CRP regulon in Escherichia coli. PLoS Genet 4: e35 doi:10.1371/journal.pgen.0040035.

3. GreshamD, DesaiMM, TuckerCM, JenqHT, PaiDA, et al. (2008) The repertoire and dynamics of evolutionary adaptations to controlled nutrient-limited environments in yeast. PLoS Genet 4: e1000303 doi:10.1371/journal.pgen.1000303.

4. McDonaldMJ, GehrigSM, MeintjesPL, ZhangX-X, RaineyPB (2009) Adaptive divergence in experimental populations of Pseudomonas fluorescens. IV. Genetic constraints guide evolutionary trajectories in a parallel adaptive radiation. Genetics 183: 1041–1053 doi:10.1534/genetics.109.107110.

5. KvitekDJ, SherlockG (2011) Reciprocal sign epistasis between frequently experimentally evolved adaptive mutations causes a rugged fitness landscape. PLoS Genet 7: e1002056 doi:10.1371/journal.pgen.1002056.

6. ToprakE, VeresA, MichelJ-B, ChaitR, HartlDL, et al. (2012) Evolutionary paths to antibiotic resistance under dynamically sustained drug selection. Nat Genet 44: 101–105 doi:10.1038/ng.1034.

7. MaharjanR, SeetoS, Notley-McRobbL, FerenciT (2006) Clonal adaptive radiation in a constant environment. Science 313: 514–517 doi:10.1126/science.1129865.

8. WoodsR, SchneiderD, WinkworthCL, RileyMA, LenskiRE (2006) Tests of parallel molecular evolution in a long-term experiment with Escherichia coli. P Natl Acad Sci Usa 103: 9107–9112 doi:10.1073/pnas.0602917103.

9. WoodTE, BurkeJM, RiesebergLH (2005) Parallel genotypic adaptation: when evolution repeats itself. Genetica 123: 157–170.

10. ChouH-H, BerthetJ, MarxCJ (2009) Fast growth increases the selective advantage of a mutation arising recurrently during evolution under metal limitation. PLoS Genet 5: e1000652 doi:10.1371/journal.pgen.1000652.

11. CooperVS, LenskiRE (2000) The population genetics of ecological specialization in evolving Escherichia coli populations. Nature 407: 736–739 doi:10.1038/35037572.

12. FongSS, JoyceAR, PalssonBØ (2005) Parallel adaptive evolution cultures of Escherichia coli lead to convergent growth phenotypes with different gene expression states. Genome Res 15: 1365–1372 doi:10.1101/gr.3832305.

13. PeelD, QuayleJ (1961) Microbial growth on C1 compounds. I. Isolation and characterization of Pseudomonas AM 1. Biochem J 81: 465–469.

14. ChistoserdovaL, ChenS-W, LapidusA, LidstromME (2003) Methylotrophy in Methylobacterium extorquens AM1 from a genomic point of view. J Bacteriol 185: 2980–2987.

15. ChistoserdovaL, VorholtJA, ThauerRK, LidstromME (1998) C1 transfer enzymes and coenzymes linking methylotrophic bacteria and methanogenic Archaea. Science 281: 99–102.

16. VorholtJA, ChistoserdovaL, StolyarSM, ThauerRK, LidstromME (1999) Distribution of tetrahydromethanopterin-dependent enzymes in methylotrophic bacteria and phylogeny of methenyl tetrahydromethanopterin cyclohydrolases. J Bacteriol 181: 5750–5757.

17. MarxCJ, ChistoserdovaL, LidstromME (2003) Formaldehyde-detoxifying role of the tetrahydromethanopterin-linked pathway in Methylobacterium extorquens AM1. J Bacteriol 185: 7160–7168.

18. MarxCJ, Van DienSJ, LidstromME (2005) Flux analysis uncovers key role of functional redundancy in formaldehyde metabolism. PLoS Biol 3: e16 doi:10.1371/journal.pbio.0030016.

19. CrowtherGJ, KosályG, LidstromME (2008) Formate as the main branch point for methylotrophic metabolism in Methylobacterium extorquens AM1. J Bacteriol 190: 5057–5062 doi:10.1128/JB.00228-08.

20. ChouH-H, ChiuH-C, DelaneyNF, SegrèD, MarxCJ (2011) Diminishing returns epistasis among beneficial mutations decelerates adaptation. Science 332: 1190–1192 doi:10.1126/science.1203799.

21. SauerU, CanonacoF, HeriS, PerrenoudA, FischerE (2004) The soluble and membrane-bound transhydrogenases UdhA and PntAB have divergent functions in NADPH metabolism of Escherichia coli. J Biol Chem 279: 6613–6619 doi:10.1074/jbc.M311657200.

22. MasipL, VeeravalliK, GeorgiouG (2006) The many faces of glutathione in bacteria. Antioxid Redox Signal 8: 753–762 doi:10.1089/ars.2006.8.753.

23. Chou H-H, Marx CJ (2012) Optimization of gene expression through divergent mutational paths. Cell Reports: 1–15. doi:10.1016/j.celrep.2011.12.003.

24. ParkC, ZhangJ (2012) High expression hampers horizontal gene transfer. Genome Biol Evol 4: 523–532 doi:10.1093/gbe/evs030.

25. DekelE, AlonU (2005) Optimality and evolutionary tuning of the expression level of a protein. Nature 436: 588–592 doi:10.1038/nature03842.

26. DelaneyNF, Rojas EcheniqueJI, MarxCJ (2012) Clarity: an open-source manager for laboratory automation. J Lab Autom doi:10.1177/2211068212460237.

27. Delaney NF, Kaczmarek ME, Ward LM, Swanson PK, Lee MC, et al.. (n.d.) Development of an optimized medium, strain and high-throughput culturing methods for Methylobacterium extorquens. Submitted.

28. DelaneyNF, KaczmarekME, MarxCJ (n.d.) Evaluating sources of bias when estimating microbial growth rates in microtiter plates and development of the open-source program Curve Fitter. Submitted

29. LeeM-C, ChouH-H, MarxCJ (2009) Asymmetric, bimodal trade-offs during adaptation of Methylobacterium to distinct growth substrates. Evolution 63: 2816–2830 doi:10.1111/j.1558-5646.2009.00757.x.

30. EadyRR, LargePJ (1968) Purification and properties of an amine dehydrogenase from Pseudomonas AM1 and its role in growth on methylamine. Biochem J 106: 245–255.

31. VuilleumierS, ChistoserdovaL, LeeM-C, BringelF, LajusA, et al. (2009) Methylobacterium genome sequences: a reference blueprint to investigate microbial metabolism of C1 compounds from natural and industrial sources. PLoS ONE 4: e5584 doi:10.1371/journal.pone.0005584.t004.

32. LeeM-C, MarxCJ (2012) Repeated, selection-driven genome reduction of accessory genes in experimental populations. PLoS Genet 8: e1002651 doi:10.1371/journal.pgen.1002651.

33. KayserA, WeberJ, HechtV, RinasU (2005) Metabolic flux analysis of Escherichia coli in glucose-limited continuous culture. I. Growth-rate-dependent metabolic efficiency at steady state. Microbiology (Reading, Engl) 151: 693–706 doi:10.1099/mic.0.27481-0.

34. LahtveeP-J, AdambergK, ArikeL, NahkuR, AllerK, et al. (2011) Multi-omics approach to study the growth efficiency and amino acid metabolism in Lactococcus lactis at various specific growth rates. Microb Cell Fact 10: 12 doi:10.1186/1475-2859-10-12.

35. MarxCJ (2012) Recovering from a bad start: rapid adaptation and tradeoffs to growth below a threshold density. BMC Evol Biol 12: 109 doi:10.1186/1471-2148-12-109.

36. SkovranE, CrowtherGJ, GuoX, YangS, LidstromME (2010) A systems biology approach uncovers cellular strategies used by Methylobacterium extorquens AM1 during the switch from multi- to single-carbon growth. PLoS ONE 5: e14091 doi:10.1371/journal.pone.0014091.

37. WaddingtonCH (1953) Genetic assimilation of an acquired character. Evolution 118–126.

38. West-Eberhard MJ (2003) Developmental plasticity and evolution. Oxford, UK: Oxford University Press. 816 p.

39. BraendleC, FlattT (2006) A role for genetic accommodation in evolution? Bioessays 28: 868–873 doi:10.1002/bies.20456.

40. GibsonG, DworkinI (2004) Uncovering cryptic genetic variation. Nat Rev Genet 5: 681–U11 doi:10.1038/nrg1426.

41. MarxCJ (2008) Development of a broad-host-range sacB-based vector for unmarked allelic exchange. BMC Res Notes 1: 1 doi:10.1186/1756-0500-1-1.

42. ScottJW, RascheME (2002) Purification, overproduction, and partial characterization of beta-RFAP synthase, a key enzyme in the methanopterin biosynthesis pathway. J Bacteriol 184: 4442–4448.

43. OkuboY, SkovranE, GuoX, SivamD, LidstromME (2007) Implementation of microarrays for Methylobacterium extorquens AM1. OMICS 11: 325–340 doi:10.1089/omi.2007.0027.

44. SmythGK (2004) Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol 3: Article3 doi:10.2202/1544-6115.1027.

45. RitchieME, SilverJ, OshlackA, HolmesM, DiyagamaD, et al. (2007) A comparison of background correction methods for two-colour microarrays. Bioinformatics 23: 2700–2707 doi:10.1093/bioinformatics/btm412.

46. GentlemanRC, CareyVJ, BatesDM, BolstadB, DettlingM, et al. (2004) Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 5: R80 doi:10.1186/gb-2004-5-10-r80.

47. R Core Team (2012) R: A Language and Environment for Statistical Computing. Vienna, Austria.

48. ThompsonLR, ZengQ, KellyL, HuangKH, SingerAU, et al. (2011) Phage auxiliary metabolic genes and the redirection of cyanobacterial host carbon metabolism. P Natl Acad Sci Usa 108: E757–E764 doi:10.1073/pnas.1102164108/-/DCSupplemental.

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2013 Číslo 4
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#