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采用统计学方法优化培养基成分,提高解淀粉芽孢杆菌 D1 产几丁质酶。

Optimization of medium constituents for improved chitinase production by Paenibacillus sp. D1 using statistical approach.

机构信息

Department of Microbiology and Biotechnology Centre, Maharaja Sayajirao University of Baroda, Vadodara, India.

出版信息

Lett Appl Microbiol. 2009 Dec;49(6):708-14. doi: 10.1111/j.1472-765X.2009.02731.x. Epub 2009 Aug 26.

DOI:10.1111/j.1472-765X.2009.02731.x
PMID:19780958
Abstract

AIMS

Statistical optimization of medium components for improved chitinase production by Paenibacillus sp. D1.

METHODS AND RESULTS

Urea, K(2)HPO(4), chitin and yeast extract were identified as significant components influencing chitinase production by Paenibacillus sp. D1 using Plackett-Burman method. Response surface methodology (central composite design) was applied for further optimization. The concentrations of medium components for improved chitinase production were as follows (g l(-1)): urea, 0.33; K(2)HPO(4), 1.17; MgSO(4), 0.3; yeast extract, 0.65 and chitin, 3.75. This statistical optimization approach led to the production of 93.2 +/- 0.58 U ml(-1) of chitinase.

CONCLUSIONS

The important factors controlling the production of chitinase by Paenibacillus sp. D1 were identified as urea, K(2)HPO(4), chitin and yeast extract. Statistical approach was found to be very effective in optimizing the medium components in manageable number of experimental runs with overall 2.56-fold increase in chitinase production.

SIGNIFICANCE AND IMPACT OF THE STUDY

The present investigation provides a report on statistical optimization of medium components for improved chitinase production by Paenibacillus sp. D1. Paenibacillus species are gram-positive, spore-forming bacteria with several PGPR and biocontrol potentials. However, only few reports concerning mycolytic enzyme production especially chitinases are available. Chitinase produced by Paenibacillus sp. D1 represents new source for biotechnological and agricultural use.

摘要

目的

通过统计学方法优化培养基成分,提高解淀粉芽孢杆菌 D1 产几丁质酶的能力。

方法与结果

利用 Plackett-Burman 设计法,确定了尿素、K2HPO4、几丁质和酵母提取物是影响解淀粉芽孢杆菌 D1 产几丁质酶的显著因素。采用响应面法(中心组合设计)进行进一步优化。最佳培养基组成为(g/L):尿素 0.33、K2HPO4 1.17、MgSO4 0.3、酵母提取物 0.65、几丁质 3.75。采用该统计学优化方法可使几丁质酶产量提高至 93.2±0.58 U/ml。

结论

本研究确定了影响解淀粉芽孢杆菌 D1 产几丁质酶的关键因素是尿素、K2HPO4、几丁质和酵母提取物。统计学方法在可管理的实验次数内,有效地优化了培养基成分,使几丁质酶产量提高了 2.56 倍。

意义和影响

本研究报道了一种统计学方法,用于优化解淀粉芽孢杆菌 D1 产几丁质酶的培养基成分。芽孢杆菌属是革兰氏阳性、产芽孢的细菌,具有多种 PGPR 和生物防治潜力。然而,仅有少数关于几丁质酶生产的报道,特别是芽孢杆菌属产生的几丁质酶。D1 解淀粉芽孢杆菌产生的几丁质酶代表了生物技术和农业应用的新来源。

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