Literature DB >> 27863072

When directed evolution met ancestral enzyme resurrection.

Miguel Alcalde1.   

Abstract

The directed evolution of ancestral -resurrected- enzymes can give a new twist in protein engineering approaches towards more versatile and robust biocatalysts.
© 2016 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology.

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Year:  2016        PMID: 27863072      PMCID: PMC5270717          DOI: 10.1111/1751-7915.12452

Source DB:  PubMed          Journal:  Microb Biotechnol        ISSN: 1751-7915            Impact factor:   5.813


On the twenty‐fifth anniversary of the invention of directed molecular evolution, few can doubt the power of this revolutionary method to engineer useful biomolecules at the service of mankind. By compressing Darwin's concept of selection through ‘survival of the fittest’ into a test tube, it has become possible to design enzymes a la carte, enzymes that can be used in pharmaceutical applications or to produce agrochemicals, biofuels and daily products. Through iterative rounds of random mutation, recombination and screening, evolved and improved enzymes have been incorporated into many aspects of our lives, gradually replacing noxious chemicals and high energy demanding steps of industrial production pipelines in the drive towards green chemistry. Thanks to the exponential growth in protein and genome databases, and the blossoming array of predictive computational methods, we are now for the first time able to travel beyond the frontiers of nature through the directed evolution of enzymes (including de novo enzymes), metabolic pathways, genetic circuits or whole cells to be used in a wide range of biotechnological applications. As such, we can tailor enzymes to perform non‐natural chemistry or to adapt them to non‐natural environments, as well as other practical cases in bioremediation, biomedicine or bionanomaterials, to name but a few (Molina‐Espeja et al., 2016). By contrast, enzyme reconstruction and resurrection has recently emerged as an approach to rapidly obtain potential biocatalysts. Indeed, using phylogenetic analysis and ancestral inference algorithms, versions of ancient enzymes are being rapidly recreated. Among them, we can find thioredoxins, alcohol dehydrogenases, beta‐lactamases or rubiscos (mostly 1–3 billion years old Precambric origin), whose stability and/or wider substrate range may make them more suitable workhorses for further directed evolution towards more challenging applications (Perez‐Jimenez et al., 2011; Carrigan et al., 2012; Risso et al., 2013; Shih et al., 2016). The remarkable ancestral properties of these enzymes are thought to be linked to the unpleasant environment that organisms faced on the earth during the Precambrian age (e.g. high temperatures (Akanamura et al., 2013)) and to the assumption that primitive cells relied on only a small array of enzymes because their physiology made it impossible for them to produce specialist enzymes for each metabolic task. Thus, it is thought that ancient enzymes were both robust and promiscuous, working like a ‘Swiss army knife’ to fulfill a plethora of activities. Similarly, they represent good blueprints suitable to adaptation, both promoting the survival of the cell while eventually becoming more specialized over the course of natural evolution. Whether or not the recent resurrected products obtained in the laboratory are reliable approximations to the true extinct enzyme phenotypes is still open to debate. Indeed, there are two main currents of opinion regarding this controversial issue: (i) those who believe that the properties of the resurrected enzymes are mostly due to the accumulation of consensus/ancestor mutations, such that similar properties could be achieved by introducing such mutations into their modern counterparts (e.g. by classical consensus mutagenesis); and (ii) those who believe that the properties of the resurrected enzymes are not exclusively dependent on the set of consensus/ancestor mutations but rather, they reflect the broad differences in protein sequence with respect to the extant enzymes (sometimes sharing as little as ~50% sequence identity despite sharing overall structural motives and similar folding) (Cole and Gaucher, 2011; Risso et al., 2014). While this debate remains open, paleoenzymologists are harnessing resurrected enzymes to decipher some of the principles of natural protein evolution, just as directed evolution has sometimes done with modern enzymes (Bloom and Arnold, 2009). From a strictly biotechnology viewpoint, the fledgling association of ancestral enzyme resurrection and directed evolution is very timely, especially given that the combination of both methods may yield stronger and more versatile biocatalysts (Arnaud, 2013; Alcalde, 2015). For example, the directed evolution of resurrected enzymes could help rescue latent/promiscuous activities lost during natural evolution but that could be used today for biotechnological purposes, Fig. 1. Moreover, given that resurrected enzymes are very stable (in terms of tolerance to extreme pH or high temperature – sometimes with a T m >30°C higher than their modern counterparts) and that beneficial mutations are typically destabilizing, these ancestral proteins represent wonderful virgin moulds for more aggressive protein engineering approaches that unfortunately most modern enzymes cannot withstand. Indeed, we recently found these enzymes to be more tolerant to high mutational loads in directed evolution campaigns, such as when evolving resurrected CO2‐fixing enzymes or different types of ancestral ligninases (unpublished data).
Figure 1

Directed evolution of ancestral enzymes. From a modern enzyme scaffold, a plausiable approximation to the ancestral node is predicted through bioinformatic computation (protein sequence reconstruction). The sequence of the ancestral node is then synthesized and functional expressed (resurrected) in a suitable host (e.g. bacteria or yeast). Thereafter, the resurrected enzyme is subjected to directed evolution towards latent activities those are hardly shown by the modern counterpart. The strong stability of the resurrected node can help alleviate the detrimental effect of using high mutational loads during the directed evolution campaign.

Directed evolution of ancestral enzymes. From a modern enzyme scaffold, a plausiable approximation to the ancestral node is predicted through bioinformatic computation (protein sequence reconstruction). The sequence of the ancestral node is then synthesized and functional expressed (resurrected) in a suitable host (e.g. bacteria or yeast). Thereafter, the resurrected enzyme is subjected to directed evolution towards latent activities those are hardly shown by the modern counterpart. The strong stability of the resurrected node can help alleviate the detrimental effect of using high mutational loads during the directed evolution campaign. The growth and impact of directed evolution in all areas of biotechnology is becoming overwhelming, such that a unique opportunity has become reality before our very eyes, enabling us to design powerful enzymes that will gradually replace chemical catalysts. As Prof. Frances H. Arnold from Caltech, pioneer in the field of directed evolution, recently said during the Millenium Technology Prize Ceremony ‘Nature is this innovation machine. We have this capability to re‐write the code of life. It doesn't have to be a new opportunity for exploitation…it should be an opportunity for exploration and for coming up with new solutions to the problems that we have’. Most researchers in the field fully agree with this statement and so, it is reasonable to think that not only extant enzymes but also their resurrected counterparts could be evolved on the laboratory bench in the near future, allowing us to travel back and forth along the evolutionary timeline. Thus, we will soon be joyously reaping the consequences of the meeting between directed evolution and ancestral enzyme resurrection.
  10 in total

Review 1.  In the light of directed evolution: pathways of adaptive protein evolution.

Authors:  Jesse D Bloom; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-15       Impact factor: 11.205

Review 2.  Engineering the ligninolytic enzyme consortium.

Authors:  Miguel Alcalde
Journal:  Trends Biotechnol       Date:  2015-01-15       Impact factor: 19.536

3.  Hyperstability and substrate promiscuity in laboratory resurrections of Precambrian β-lactamases.

Authors:  Valeria A Risso; Jose A Gavira; Diego F Mejia-Carmona; Eric A Gaucher; Jose M Sanchez-Ruiz
Journal:  J Am Chem Soc       Date:  2013-02-14       Impact factor: 15.419

4.  Phenotypic comparisons of consensus variants versus laboratory resurrections of Precambrian proteins.

Authors:  Valeria A Risso; Jose A Gavira; Eric A Gaucher; Jose M Sanchez-Ruiz
Journal:  Proteins       Date:  2014-04-18

Review 5.  Beyond the outer limits of nature by directed evolution.

Authors:  Patricia Molina-Espeja; Javier Viña-Gonzalez; Bernardo J Gomez-Fernandez; Javier Martin-Diaz; Eva Garcia-Ruiz; Miguel Alcalde
Journal:  Biotechnol Adv       Date:  2016-04-05       Impact factor: 14.227

Review 6.  Utilizing natural diversity to evolve protein function: applications towards thermostability.

Authors:  Megan F Cole; Eric A Gaucher
Journal:  Curr Opin Chem Biol       Date:  2011-04-04       Impact factor: 8.822

7.  Experimental evidence for the thermophilicity of ancestral life.

Authors:  Satoshi Akanuma; Yoshiki Nakajima; Shin-ichi Yokobori; Mitsuo Kimura; Naoki Nemoto; Tomoko Mase; Ken-ichi Miyazono; Masaru Tanokura; Akihiko Yamagishi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-17       Impact factor: 11.205

8.  The natural history of class I primate alcohol dehydrogenases includes gene duplication, gene loss, and gene conversion.

Authors:  Matthew A Carrigan; Oleg Uryasev; Ross P Davis; Lanmin Zhai; Thomas D Hurley; Steven A Benner
Journal:  PLoS One       Date:  2012-07-31       Impact factor: 3.240

9.  Single-molecule paleoenzymology probes the chemistry of resurrected enzymes.

Authors:  Raul Perez-Jimenez; Alvaro Inglés-Prieto; Zi-Ming Zhao; Inmaculada Sanchez-Romero; Jorge Alegre-Cebollada; Pallav Kosuri; Sergi Garcia-Manyes; T Joseph Kappock; Masaru Tanokura; Arne Holmgren; Jose M Sanchez-Ruiz; Eric A Gaucher; Julio M Fernandez
Journal:  Nat Struct Mol Biol       Date:  2011-04-03       Impact factor: 15.369

10.  Biochemical characterization of predicted Precambrian RuBisCO.

Authors:  Patrick M Shih; Alessandro Occhialini; Jeffrey C Cameron; P John Andralojc; Martin A J Parry; Cheryl A Kerfeld
Journal:  Nat Commun       Date:  2016-01-21       Impact factor: 14.919

  10 in total
  8 in total

Review 1.  Tailoring Proteins to Re-Evolve Nature: A Short Review.

Authors:  Angelica Jimenez-Rosales; Miriam V Flores-Merino
Journal:  Mol Biotechnol       Date:  2018-12       Impact factor: 2.695

Review 2.  Learning Strategies in Protein Directed Evolution.

Authors:  Xavier F Cadet; Jean Christophe Gelly; Aster van Noord; Frédéric Cadet; Carlos G Acevedo-Rocha
Journal:  Methods Mol Biol       Date:  2022

3.  Experimental recreation of the evolution of lignin-degrading enzymes from the Jurassic to date.

Authors:  Iván Ayuso-Fernández; Angel T Martínez; Francisco J Ruiz-Dueñas
Journal:  Biotechnol Biofuels       Date:  2017-03-16       Impact factor: 6.040

4.  Ruminal metagenomic libraries as a source of relevant hemicellulolytic enzymes for biofuel production.

Authors:  Estrella Duque; Abdelali Daddaoua; Baldo F Cordero; Zulema Udaondo; Carlos Molina-Santiago; Amalia Roca; Jennifer Solano; Eduarda Molina-Alcaide; Ana Segura; Juan-Luis Ramos
Journal:  Microb Biotechnol       Date:  2018-04-17       Impact factor: 5.813

5.  Functional analyses of ancestral thioredoxins provide insights into their evolutionary history.

Authors:  Silvia Napolitano; Robin J Reber; Marina Rubini; Rudi Glockshuber
Journal:  J Biol Chem       Date:  2019-07-31       Impact factor: 5.157

6.  Efficient Base-Catalyzed Kemp Elimination in an Engineered Ancestral Enzyme.

Authors:  Luis I Gutierrez-Rus; Miguel Alcalde; Valeria A Risso; Jose M Sanchez-Ruiz
Journal:  Int J Mol Sci       Date:  2022-08-11       Impact factor: 6.208

7.  Functional Expression of Two Unusual Acidic Peroxygenases from Candolleomyces aberdarensis in Yeasts by Adopting Evolved Secretion Mutations.

Authors:  Patricia Gomez de Santos; Manh Dat Hoang; Jan Kiebist; Harald Kellner; René Ullrich; Katrin Scheibner; Martin Hofrichter; Christiane Liers; Miguel Alcalde
Journal:  Appl Environ Microbiol       Date:  2021-09-10       Impact factor: 4.792

8.  Directed -in vitro- evolution of Precambrian and extant Rubiscos.

Authors:  Bernardo J Gomez-Fernandez; Eva Garcia-Ruiz; Javier Martin-Diaz; Patricia Gomez de Santos; Paloma Santos-Moriano; Francisco J Plou; Antonio Ballesteros; Monica Garcia; Marisa Rodriguez; Valeria A Risso; Jose M Sanchez-Ruiz; Spencer M Whitney; Miguel Alcalde
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

  8 in total

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