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丝状真菌基因表达系统的发展

The development of gene expression systems for filamentous fungi.

作者信息

Berka R M, Barnett C C

机构信息

Genencor, Inc., South San Francisco, California 94080, USA.

出版信息

Biotechnol Adv. 1989;7(2):127-54. doi: 10.1016/0734-9750(89)90356-x.

Abstract

Filamentous fungi have been used for decades in the commercial production of enzymes, antibiotics, and specialty chemicals. Traditionally, improving the yields of these products has involved either mutagenesis and screening or modification of fermentation conditions. Generally, selective breeding of strains has not been successful, because most of the commercially important fungal species lack a sexual cycle. For a few species, strain improvements have been made possible by employing the parasexual cycle for genetic crosses (30). The recent development of DNA-mediated transformation systems for several industrially important fungal species has spawned a flurry of research activity directed toward the development of gene expression systems for these microorganisms. This technology is now a viable means for novel and more directed approaches to improving existing fungal strains which produce enzymes or antibiotics. In addition, fungal expression systems are now being tested for the production of heterologous gene products such as mammalian pharmaceutical proteins. The goal of this review is to present a summary of the gene expression systems which have recently been developed for some filamentous fungi of commercial importance. To insure that the most recent developments are presented we have included data from not only scientific papers, but also from personal communications, abstracts, symposia, and our own laboratory.

摘要

丝状真菌已被用于商业生产酶、抗生素和特殊化学品数十年。传统上,提高这些产品的产量涉及诱变和筛选或发酵条件的改良。一般来说,菌株的选择性育种并不成功,因为大多数具有商业重要性的真菌物种缺乏有性生殖周期。对于少数物种,通过利用准性生殖周期进行遗传杂交实现了菌株改良(30)。几种工业上重要的真菌物种的DNA介导转化系统的最新发展引发了一系列针对这些微生物基因表达系统开发的研究活动。这项技术现在是一种可行的手段,用于采用新颖且更具针对性的方法来改良现有的产生酶或抗生素的真菌菌株。此外,目前正在测试真菌表达系统用于生产异源基因产物,如哺乳动物药用蛋白。本综述的目的是总结最近为一些具有商业重要性的丝状真菌开发的基因表达系统。为确保呈现最新进展,我们不仅纳入了科学论文的数据,还包括个人交流、摘要、研讨会以及我们自己实验室的数据。

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