Background <p><span>l</span>-Cysteine is a proteinogenic amino acid of high pharmaceutical and industrial interest. However, the fermentation process for <span>l</span>-cysteine production is faced with multiple obstacles, like the toxicity of <span>l</span>-cysteine for the cells, the low carbon yield of the product, and the low selectivity of the <span>l</span>-cysteine exporter. In previous work, <i>in-vivo</i> metabolic control analysis (MCA) applied to an <span>l</span>-cysteine fed-batch production process with <i>E. coli,</i> followed by the targeted metabolic engineering to reduce an intracellular O-acetylserine (OAS) deficiency, resulted in a significant improvement of the <span>l</span>-cysteine production process with the new producer strain.</p> Results <p>In this work, <i>in-vivo</i> MCA was applied to the <span>l</span>-cysteine fed-batch production process with the new producer strain (<i>E. coli</i> W3110 pCysK). The MCA indicated that a simultaneous increase in the exporter's expression and selectivity is required to increase the <span>l</span>-cysteine production further. The exchange of the <span>l</span>-cysteine exporter YdeD present in the plasmid pCysK for the potentially more selective exporter YfiK led to an increase of the maximal <span>l</span>-cysteine concentration by the end of the fed-batch process of 37% to a final concentration of 33.8&#xa0;g L<sup>−1</sup>. The <span>l</span>-cysteine production could also be extended for at least 20&#xa0;h due to conserved cellular activity as a result of the reduction of carbon loss as OAS.</p> Conclusions <p>It could be shown that the <i>in-vivo</i> MCA methodology can be utilised iteratively with cells from the production process to pinpoint targets for further strain optimisation towards a significant increase in the <span>l</span>-cysteine production with <i>E. coli</i>. The use of this technology in combination with process engineering to adapt the fed-batch process to the modified strain may achieve a further improvement of the process performance.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Exchange of the l-cysteine exporter after in-vivo metabolic control analysis improved the l-cysteine production process with engineered Escherichia coli

  • Daniel Alejandro Caballero Cerbon,
  • Dirk Weuster-Botz

摘要

Background

l-Cysteine is a proteinogenic amino acid of high pharmaceutical and industrial interest. However, the fermentation process for l-cysteine production is faced with multiple obstacles, like the toxicity of l-cysteine for the cells, the low carbon yield of the product, and the low selectivity of the l-cysteine exporter. In previous work, in-vivo metabolic control analysis (MCA) applied to an l-cysteine fed-batch production process with E. coli, followed by the targeted metabolic engineering to reduce an intracellular O-acetylserine (OAS) deficiency, resulted in a significant improvement of the l-cysteine production process with the new producer strain.

Results

In this work, in-vivo MCA was applied to the l-cysteine fed-batch production process with the new producer strain (E. coli W3110 pCysK). The MCA indicated that a simultaneous increase in the exporter's expression and selectivity is required to increase the l-cysteine production further. The exchange of the l-cysteine exporter YdeD present in the plasmid pCysK for the potentially more selective exporter YfiK led to an increase of the maximal l-cysteine concentration by the end of the fed-batch process of 37% to a final concentration of 33.8 g L−1. The l-cysteine production could also be extended for at least 20 h due to conserved cellular activity as a result of the reduction of carbon loss as OAS.

Conclusions

It could be shown that the in-vivo MCA methodology can be utilised iteratively with cells from the production process to pinpoint targets for further strain optimisation towards a significant increase in the l-cysteine production with E. coli. The use of this technology in combination with process engineering to adapt the fed-batch process to the modified strain may achieve a further improvement of the process performance.