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通过响应面法优化活体营养型真菌的体外培养条件

Optimizing In vitro Culture Conditions for the Biotrophic Fungi Through Response Surface Methodology.

作者信息

Chaliha Chayanika, Kalita Eeshan, Verma Praveen K

机构信息

1Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam 784028 India.

2Plant Immunity Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067 India.

出版信息

Indian J Microbiol. 2020 Jun;60(2):167-174. doi: 10.1007/s12088-019-00846-6. Epub 2019 Dec 10.

DOI:10.1007/s12088-019-00846-6
PMID:32255849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7105583/
Abstract

The blister blight disease caused by the fungus, has serious implications on the quality of tea production. The disease however, has been poorly studied and hence there is very limited information on the pathogen and as such the pathogenesis of blister blight infection. One of the major roadblocks in understanding is the obligate and biotrophic nature of the fungus which limits the establishment and maintenance of in vitro cultures. To address this issue, a Central Composite Design based Response Surface Methodology (RSM) was adopted to study the modification of three fungal culture media viz. czapek dox, potato dextrose, and v8 juice, and the effect of altered media composition on growth conditions and media compositions were assessed. The response parameter for the RSM experiments was the mycelial biomass produced under different culture conditions. The uni and bi-parametric interactions among the experimental variables provided the basis for the statistically optimized conditions for maximal fungal growth. The study thus presents the recommended modifications of existing media that can lead to the successful establishment and maintenance of in vitro cultures.

摘要

由这种真菌引起的水泡病对茶叶生产质量有严重影响。然而,这种疾病的研究较少,因此关于病原体以及水泡病感染的发病机制的信息非常有限。理解方面的主要障碍之一是这种真菌的专性和活体营养特性,这限制了体外培养物的建立和维持。为了解决这个问题,采用了基于中心复合设计的响应面方法(RSM)来研究三种真菌培养基的改良,即查氏培养基、马铃薯葡萄糖培养基和V8汁培养基,并评估改变后的培养基成分对生长条件的影响以及培养基成分。RSM实验的响应参数是在不同培养条件下产生的菌丝体生物量。实验变量之间的单参数和双参数相互作用为真菌最大生长的统计优化条件提供了基础。因此,该研究提出了对现有培养基的推荐改良方法,这些改良方法可导致体外培养物的成功建立和维持。

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