Amino Acid Production via Metabolic Engineering
Amino Acid Production via Metabolic Engineering
com
With a world market of more than four million tons per year,         we review recent advances in systems and synthetic
L-amino acids are among the most important products in               metabolic engineering towards amino acids and related
industrial biotechnology. The recent years have seen a               compounds. This will cover major achievements for the
tremendous progress in the development of tailor-made strains        two major industrial production organisms – Corynebacter-
for such products, intensively driven from systems metabolic         ium glutamicum and Escherichia coli.
engineering, which upgrades strain engineering into a concept
of optimization on a global scale. This concept seems                Concepts and strategies for industrial strain
especially valuable for efficient amino acid production,             engineering
demanding for a global modification of pathway fluxes – a            The high economic interest has stimulated the develop-
challenge with regard to the high complexity of the underlying       ment of over producing strains from early on. For many
metabolism, superimposed by various layers of metabolic and          decades this has been carried out by iterative rounds of
transcriptional control.                                             random mutagenesis and selection that provided mutants
                                                                     with remarkable performance, that were however, limited
Address                                                              by growth defects, low stress tolerance or enhanced
Institute of Biochemical Engineering, Technische Universität        nutrient demand owing to the inherent accumulation
Braunschweig, Germany
                                                                     of detrimental mutations during strain development.
Corresponding author: Wittmann, Christoph                            Enabled by recombinant DNA technology, the focus of
(c.wittmann@tu-braunschweig.de)                                      strain engineering recently shifted to rational approaches,
                                                                     which provided a next level of production strains. For
                                                                     existing industrial processes, it seems, however, not easy
  Current Opinion in Biotechnology 2012, 23:718–726                  to reach the high performance of the classical strains [2].
  This review comes from a themed issue on Tissue, cell and          Obviously, the typically local concepts of metabolic
  pathway engineering                                                engineering fail to achieve pathway engineering on a
  Edited by Hal Alper and Wilfried Weber                             global scale with full consideration of the complex inter-
  For a complete overview see the Issue and the Editorial
                                                                     actions throughout the entire pathway network [3,4]. This
                                                                     particularly holds for amino acid production, demanding
  Available online 13th January 2012
                                                                     for high yield, titer and productivity and thus a global
  0958-1669/$ – see front matter, # 2012 Elsevier Ltd. All rights    modification of pathway fluxes within a complex inter-
  reserved.
                                                                     connected network of reactions that is tightly constrained
  http://dx.doi.org/10.1016/j.copbio.2011.12.025                     by different layers of metabolic [5–7] and transcriptional
                                                                     regulation [4,8,9]. The recent years have seen a tremen-
                                                                     dous improvement of amino acid producers by systems
Introduction                                                         metabolic engineering, the upgrade of strain engineering
From the pioneering discovery of Corynebacterium gluta-              to optimization on a global scale. This builds on the
micum as natural glutamate producer almost 60 years ago,             powerful omics technologies of systems biology for in-
amino acid production has evolved into an industry with a            depth profiling [10] and even model-based design of
rich portfolio of products and applications (Figure 1). This         different cell factories of interest [11]. At present,
includes the dominating products L-glutamate and L-                  synthetic metabolic engineering is driving this even
lysine with annual market volumes of around 2.5 and                  further. The assembly of artificial pathways within cells
1.5 million tons, respectively, and a predicted market               now allows to overcome natural boundaries set by the
growth of 6–8% per year. Almost all amino acids are                  strain specific genome repertoire and to extend traditional
exclusively derived by microbial fermentation, because               amino acid pathways towards non-natural chemicals of
this provides the biologically active L-enantiomer, excep-           huge commercial interest.
tions being methionine where also the D-enantiomer is
bio-available [1] and the non-chiral amino acid glycine.             L-Lysine
The biosynthetic routes towards amino acids are hereby               L-lysine production by C. glutamicum is one of the most
closely linked to the network of central metabolic path-             impressive examples for the power of systems and syn-
ways via the supply for carbon building blocks, nitrogen,            thetic metabolic engineering. The gram-positive soil
reducing power and energy – a truly complex biochemical              bacterium C. glutamicum is the dominating organism for
network to be tackled by the metabolic engineer. Here,               industrial production of about 1.5 million tons of this
Figure 1
      Product         Production strain        Application              Market size [Mt/a]                      Titer [g/L]               Yield [g/g]e
                                                                            1         2          3              50      100      150           0.5       1.0
L-glutamate C. glutamicum
L-lysine C. glutamicum
L-methioninea C. glutamicum
Systems and synthetic metabolic engineering of E. coli and C. glutamicum for the production of amino acids and related compounds. Data comprise
major application of the different compounds (food and feed ; health and hygiene              ; agriculture and technical application  ; textiles, packaging
and housing       and transportation and energy ), current market sizes and production performance (titer and yield) of strains obtained rationally for
the production of L-glutamate [40], L-lysine [11], L-methionine [1,50], L-threonine [61], L-phenylalanine [8,68,69], L-tryptophan [8,68,69], L-arginine
[45,68], L-valine [36,68], L-alanine [48,68], L-serine [43], cadaverine [54,55,56] and putrescine [59].
a
 Strains were obtained by a combined approach of random mutagenesis and metabolic engineering.
b
  Market size denotes production of the D/L-racemate.
c
 The yield was corrected for the additional glucose demand required for biomass formation in the initial fermentation step, considering a biomass yield
of 0.5 g g 1 [70].
d
  The rough estimate of market size in the segment of polyamides is based on the assumption that economically attractive production costs can be
achieved in bio-based production.
e
 The yields given in dark blue represent experimentally achieved values by rationally engineered production strains. The yields in light blue represent
the theoretical maximum as deduced from in silico modeling for the production of L-glutamate [71], L-lysine [72], L-methionine [51], L-threonine [33], L-
phenylalanine [73], L-tryptophan [73], L-arginine [73], L-valine [74], L-alanine [73], L-serine [73] and cadaverine [52]. The theoretical maximum yield of
putrescine was assumed to be equimolar to the theoretical maximum yield of arginine.
amino acid for animal nutrition (Figure 1). The tin-opener                      strategies, however, allowed only limited improvement
to the first rational overproducers was a detailed under-                       and did not provide industrially competitive lysine produ-
standing of the contribution of individual reactions and                        cers, most probably because of their local character,
pathways to the carbon flux through the C. glutamicum cell,                     neglecting the complex network regulation in C. glutami-
created by sophisticated 13C flux studies [3,12–19]. This                       cum. An interesting study towards a more global concept of
allowed the identification and implementation of genetic                        strain engineering compared the genome sequence be-
targets beyond the terminal biosynthetic pathway itself in                      tween the wild type of C. glutamicum and a classical lysine
order to enhance the supply of NADPH and oxaloacetate,                          producer [30]. Out of the massive set of point mutations
required for lysine production. As example, the detailed                        present, selected beneficial modifications could be ident-
understanding of fluxes in C. glutamicum predicted the                          ified. These were then implemented into the non-produ-
gluconeogenetic fructose 1,6-bisphosphatase as truly novel                      cing wild type in subsequent optimization rounds and
target for enhanced NADPH supply [16] which could                              finally provided a strain with interesting properties, that
then be successfully implemented for improved pro-                              was a yield of 0.4 g g 1 and a final titer of 100 g L 1 [31].
duction [20,21]. Further prominent examples enhanced                           More recently, systems-wide global pathway engineering
lysine production by increasing the flux through the                            recently provided the best lysine producer known so far
NADPH supplying pentose phosphate pathway (PPP)                                 [11]. The design of a genetic blueprint for the superior
using overexpression of individual enzymes [22], modifi-                        strain was based on global model-based prediction, inte-
cation of the kinetic properties of flux controlling enzymes                    grating in silico and in vivo fluxes to a priori predict a multi-
[22,23] or interruption of the competing glycolytic pathway                     target combination for the desired production properties
[24]. Complementary, also increased supply of oxaloace-                         (Figure 2). The only 12 predicted traits were then imple-
tate [25,26] and recently, also attenuation of the competing                    mented stepwise into the genome of the non-producing
TCA cycle flux was shown beneficial [27–29]. All these                          wild type, creating the stable, completely defined minimal
Figure 2
Glucose
                                                                                                             Psod
                                                                                                                     tkt     tal    zwf   opcA     pgl          tkt-operon
                                                                                       Glucose 6-P                                          Pentose 5-P
                                                                                                     zwf       pgl
                                                                                                                       tkt
                                                                                       Fructose 6-P                                                              tkt
                                                                          Psod C 932 T
                                                           lysC                 lysC
                                                                               G1A
                                                L-Aspartatyl-P                            L-Aspartate
                             hom
                                                                                                                                                 Ppck
                             PhomT 176 C                                                                Phosphoenolpyruvate                              Δpck   pck
                                   hom
                                                                                                                                   Oxaloacetate
                                           L-2,3-Dihydrodipicolinate
                                                                                                        PsodC 1372 T
                        dapB             Psod
                                                dapB
                                                                                                              pyc
                                                                                                     pyc
                                         L-Δ1-Tetrahydrodipicolinate                                                                                             Isocitrate
                                                                                                                    Malate
                                                                                                                                                                         Picd A 1G
                     ddh                                                                                                                                                       icd   icd
                      Pddh                                                                                                            2-Oxoglutarate
                             ddh   ddh
                                           meso-Diaminopimelate
                                                                  PlysA                    lysA
                                                                          lysA   lysA
L-Lysine
                                                   L-Lysine ex
                                                                                                                                                            Current Opinion in Biotechnology
Systems-wide metabolic pathway engineering of the rational lysine hyper-producing C. glutamicum LYS-12 strain by genome-based implementation
of 12 genomic traits in the non-producing wild type C. glutamicum ATCC 13032 [11]. Targeted genes comprise dapB, encoding dihydrodipicolinate
reductase, ddh, ecoding diaminopimelate dehydrogenase, fbp, encoding fructose 1,6-bisphosphatase, hom, encoding homoserine dehydrogenase,
icd, encoding isocitrate dehydrogenase, lysA, encoding diaminopimelate decarboxylase, lysC, encoding aspartokinase, pck, encoding
phosphoenolpyruvate carboxykinase, pgl, encoding 6-phosphogluconolactonase, pyc, encoding pyruvate carboxylase, tal, encoding transaldolase,
tkt, encoding transketolase and zwf, encoding glucose 6-phosphate dehydrogenase. Details on the modifications are given in the gray boxes. Bold
arrows indicate reactions with increased metabolic fluxes whereby green reactions represent direct amplification targets. Gene deletion or attenuation
is shown in red. ‘X’ denotes gene deletion.
mutation strain C. glutamicum LYS-12. Under industrial           of 2.1 g L 1 h 1 and a yield of 0.3 g g 1 [36]. Shortly,
conditions on a molasses based medium, C. glutamicum             global strain engineering comprised modification of the
LYS-12 exhibited remarkable production properties. This          biosynthetic valine pathway by pathway deregulation and
includes a high titer of 120 g L 1, reached within 30 h of       plasmid-based overexpression (Figure 3b). Carbon with-
cultivation. The carbon conversion yield of 0.55 g g 1 is        drawal towards isoleucine was abolished by ilvA deletion.
already rather close to the theoretical optimum predicted        This was complemented by global regulatory changes
for zero growth (Figure 1). The high vitality of the mini-       introduced by plasmid-based over expression of the tran-
mally modified strain, with a specific glucose uptake rate as    scriptional regulator Lrp and deletion of lacI to allow
high as that of the parent wild type, finally enabled a          constitutive expression of the overexpressed genes under
productivity of 4.0 g L 1 h 1. With these properties,            control of the trc or tac promoters. Finally, also the valine
LYS-12 is the first synthetic strain that competes with          export was improved by over expression of the corre-
classical producers optimized for more than 50 years,            sponding exporter YgaZH. Alternatively, also C. glutami-
showing the enormous potential of systems-wide pathway           cum was modified by rational strategies [37–39]. This also
engineering.                                                     generated interesting valine overproducers, which so far
                                                                 do not reach the performance of E. coli strains, but display
L-Threonine                                                      interesting candidates to be optimized further.
L-Threonine     is currently produced by fermentation of
classical Escherichia coli strains [4,5]. Beyond early studies   L-Glutamate
on rational engineering of E. coli by targeted over expres-      The leading amino acid on the global market is the flavor
sion of the biosynthetic threonine gene cluster cloned           enhancer monosodium glutamate (Figure 1). Rational
from a threonine producing mutant [32], a genetically            engineering of producing C. glutamicum mainly focused
defined threonine producer was recently constructed by           on the improved supply of the glutamate precursor 2-
systems metabolic engineering on basis of the wild type          oxoglutarate. This involved targeted flux increase
E. coli W3110 [33]. Hereby, systems-wide profiling,            through anaplerosis by over expression of pyruvate
integrating data from genome, transcriptome, proteome            carboxylase [26] or by deletion of competing pyruvate
and in silico flux response analysis, provided key charac-       kinase [40]. Beyond this, production was engineered by
teristics of threonine producers [34]. First steps involved      reducing the undesired 2-oxoglutare consumption via
engineering of the threonine pathway by release from             oxoglutarate dehydrogenase on the basis of antisense
feedback inhibition, removal of transcriptional attenu-          RNA expression of odhA [41] or over expression of the
ation, and concomitant plasmid-based over expression             ODHC-inhibitor odhI [42]. The yields and titers achieved
(Figure 3a). This was combined with deletion or down-            by these targeted strategies are still far from that of
regulation of competing pathways towards lysine, meth-           classical strains used in industrial production that
ionine, glycine, isoleucine, and acetate and the                 accumulate more than 100 g L 1 [2]. Also the yields of
abolishment of threonine re-uptake. To account for the           the synthetic strains are still rather low. A systems meta-
increased demand for oxaloacetate in the threonine pro-          bolic engineering strategy, as described above for other
ducer, the expression of anaplerotic PEP carboxylase was         products, seems promising to bring this further.
fine-tuned by promoter exchange. Further benefit was
taken from deletion of the transcriptional regulator iclR        Other L-amino acids
controlling expression of the glyoxylate shunt [33]. The       Beyond the major products L-lysine, L-threonine, L-glu-
final strain produced 82 g L 1 threonine with a maximum          tamate and L-valine metabolic engineering was continu-
productivity of 1.7 g L 1 h 1 and a carbon conversion            ously applied to establish or improve also other amino
yield of 0.39 g g 1. Further modifications seem necessary        acid production processes [2] as summarized in Figure 1.
to bring the production performance closer to that of            Interesting production strains for L-serine [43], L-cysteine
currently applied classical strains and the theoretical          [44], L-arginine [45,46], L-citrulline [45], L-ornithine [47]
optimum (Figure 1). Metabolic engineering was also               and L-alanine [48,49] could be derived in recent years. For
applied to extend the natural substrate range of E. coli.        the aromatic amino acids, L-tryptophan, L-tyrosine and L-
Implementation of b-fructofuranosidase mediated                  phenylalanine, targeted engineering was even crucial to
sucrose-assimilation and threonine production with a             establish commercially competitive fermentation pro-
yield of 0.28 g g 1 [35].                                        cesses [8]. However, production performance is still far
                                                                 away from what can be expected as theoretical optimum
L-Valine                                                         (Figure 1).
For the production of L-valine, strain engineering has
been carried out for both, C. glutamicum and E. coli. L-         Targeted engineering also provided a basic L-methionine
valine biosynthesis branches off from the central metab-         producer, where classical approaches so far failed [50].
olite pyruvate. A comprehensive approach recently cre-           Though the production is still rather low, first systems-
ated a strain with impressive production properties,             oriented studies demonstrated the feasibility of a fermen-
including a high titer of 61 g L 1 valine a productivity         tative production process and employed in-silico pathway
Figure 3
(a) Glucose
                                               P
                                                   thrA      thrB   thrC
                                rhtC
                                                                                                                              Glucose 6-P               Pentose 5-P
                                               pBRThrABCR3
                                                                                   Ap
                                rhtA                                                                                          Fructose 6-P
                                               rhtB           rop
                                                                                                                          Glyceraldehyde 3-P
                                                                                      thrA      lysC
                                                                                   C 1034 T   C 1055 T
                                                                            thrB
                                                                                                                                                              Glyoxylate
                                                             L-Homoserine-P                                                                                                       Isocitrate
                                                                                                 ilvA      ilvA                    Malate       icIR
                                                                                              C 290 T
                                                                            thrC
                                                                                                           L-Isoleucine                               ΔicIR
                                   tdh                Δtdh
                                                                                                                                                       Succinate
                           Glycine                             L-Threonine                                  tdcC
                                                                                                                  ΔtdcC
L-Threonine ex
(b) Glucose
Glyceraldehyde 3-P
                                                                                         Phosphoenolpyruvate                                                                                ilvED
                                       L-Isoleucine                                                                                                                       ilvBN    ilvC
ilvD
                                                                                                                                    2-Ketoisovalerate
                                                                    P
                                                                    ygaZH    lrp                            Lrp                                  ilvE
                                                              pTrc184ygaZHIrp
                                                                                                                  -                        L-Valine
                                                                        Cm
                                                                                                                                       +                 P
                                                                                                                                                                  ygaZH      ygaZH
                                                                                                                  ilvJ
                                                                                                                                       L-Valine ex
                                                                                                                                                                  Current Opinion in Biotechnology
modeling and well-designed experiments to predict                               glutamicum [60]. In E. coli putrescine is a natural metab-
promising targets for further engineering such as the                           olite and part of the ornithine degrading pathway.
promising use of higher reduced sulfur sources for pro-                         Hereby, accumulation and secretion of putrescine was
duction [1,51].                                                                 initiated by over expression of the putrescine-forming
                                                                                ornithine decarboxylase speC combined with deletion of
Related products and non-natural chemicals                                      putrescine and ornithine consuming reactions [59].
The rising era of bio-based economy is currently driving
the engineering of cells for production of various chemi-                       Conclusion
cals beyond traditional products [2]. This also holds for                       Current advances in systems and synthetic metabolic
the industrial amino acid producers, C. glutamicum and E.                       engineering illustrate the power of these global concepts
coli. Prominent products with high industrial relevance                         for industrial strain development. For existing industrial
are diamines, meaning that they are important building                          processes, it seems, however, not easy to approach the
blocks for bio-based polyamides with excellent material                         high performance of the classical strains [2] or even the
properties [52]. Particularly, cadaverine (1,5-diaminopen-                      theoretical boundaries of optimum production (Figure 1).
tane) and putrescine (1,4-diaminobutane) appear very                            Probably except for the most advanced example of lysine
promising to replace current petrochemical routes to                            production [11], the production properties of rationally
the huge market of polyamides. Cadaverine is directly                           created amino acid producers created so far leave still
accessible via decarboxylation of lysine, suggesting lysine                     space for substantial improvement in the future
hyper-producing C. glutamicum as straightforward pro-                           (Figure 1). We can expect a next level of strains upon
duction organism. The key enzyme lysine decarboxylase                           integration of newly developed strategies into systems
is naturally not present in C. glutamicum, making heter-                        and synthetic metabolic engineering. This might involve
ologous expression a crucial modification to establish                          the use of reduced-genome microorganism that was
production in this organism [53]. Hereby, the introduc-                         recently shown to breed a superior threonine producing
tion of high-expression synthetic genes constructed on                          strain of E. coli [61]. Overall, the tremendously growing
basis of the ldcC gene from E. coli provided the most                           toolbox for metabolic engineers will further speed up
suited strategy to boost cadaverine production [54].                          development times – and probably increase the heartbeat
Systems metabolic engineering of basic producers then                           of industrial strain development. In addition, also the
included amplification and deregulation of the biosyn-                          integration of new strategies from model-based design,
thetic pathway at various levels, improved supply of the                        synthetic biology or evolutionary engineering will con-
carbon precursor oxaloacetate by targeted modification of                       tribute to better production strains. This will enable the
the pyruvate node and downregulation of the competing                           crossing of boundaries, set by the natural gene repertoire
pathway towards threonine [54]. Production was further                        of specific species and drive the creation of novel syn-
optimized by deletion of a newly discovered pathway                             thetic pathways for the use of a broad range of raw
towards the undesired by-product N-acetyl-cadaverine                            materials [2,35,57,62–64] and the production of a huge
that allowed by-product free cadaverine production at a                         portfolio of non-natural compounds [2,54,65–67]. At one
yield of 0.17 g g 1 [55]. More recently, transcriptome-                       future time point, amino acids might display only a small
based identification of a putative cadaverine exporter                          subset of products obtained by C. glutamicum or E. coli.
enabled a next level of production strains [56]. Beyond                         They will, however, always remain as the cradle of this
this, the substrate range for cadaverine production was                         fascinating development.
extended towards xylose allowing sustainable production
from hemicellulose-based raw material [57]. In addition,
cadaverine production was also established for E. coli as                       Acknowledgements
production host that naturally comprises the entire bio-                        The authors gratefully acknowledge support by the German Federal
                                                                                Ministry of Education and Research (BMBF) through the grant ‘Bio-based
synthetic pathway [58]. Similarly, also putrescine pro-                         Polyamides through Fermentation’ (No. 0315239A) within the initiative
duction was demonstrated for E. coli [59] and C.                                Bioindustry21.
( Figure 3 Legend ) Metabolic engineering strategy for the creation of a genetically defined threonine production strain (a) on basis of E. coli K-12 [33]
and a genetically defined valine producing strain (b) on the basis of E. coli W [36]. Genetic modifications are indicated in the gray boxes or on the
plasmid. Targeted genes comprise acs, encoding acetyl-CoA synthetase, iclR, encoding transcriptional regulator IclR, ilvA, encoding threonine
dehydratase, ilvBN, ecoding acetohydroxy acid synthase I, ilvC acetohydroxy acid isomeroreductase, ilvD, encoding dihydoxy acid dehydratase, ilvE,
encoding branched chain amino acid aminotransferase, ilvIH, encoding acetohydroxy acid synthase III, ilvJ, encoding valine transporter, lacI, encoding
transcriptional regulator LacI, lrp, encoding transcriptional regulator Lrp, lysA, encoding diaminopimelate decarboxylase, lysC, encoding aspartokinase
III, metA, encoding homoserine succinyltransferase, ppc, encoding phopsphoenolpyruvate carboxylase, rhtABC, encoding threonine exporters, tdh,
encoding threonine dehydrogenase, tdcC, encoding threonine transporter, thrA, encoding aspartokinase I, thrB, encoding homoserine kinase, thrC,
encoding threonine synthase and ygaZH, encoding valine exporter. Bold arrows indicate reactions with increased carbon flow whereby green
reactions represent direct amplification targets (by promoter exchange and/or by plasmid-based over expression). Gene deletion or attenuation is
shown in red. ‘X’ denotes gene deletion. Gray arrows indicates induction (+) or repression ( ). The abbreviation mut specifies the implementation of six
specific point mutations G59A, C60T, T62A, A63C, A64T, and G66C into the ilvN gene [74].
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