BBD-response Surface Methodology Optimizes the Cultivation Conditions of Producing Gliotoxin by Trichoderma viride

doi:10.11924/j.issn.1000-6850.casb18090008

Abstract

Abstract:

The aim is to optimize the cultivation conditions of producing gliotoxin by Trichoderma viride. 5 important factors in the gliotoxin cultivation from Trichoderma viride were chosen, and the response surface analysis experiment (five factors three levels) was designed. A predictive model was established through the analysis of the data by Design-Expert 8.0, and the reliability of the model was verified. The optimal condition of gliotoxin production was determined as follows: the cultivation temperature was 29.42℃, the initial pH value of the medium was 6.35, the inoculation volume was 5.4%, the cultivation was for 54.5 h, the bacterium age was 44.5 h. The titer of gliotoxin was increased by 15.08% compared with that before the optimization.

Key words: Trichoderma viride, gliotoxin, response surface analysis, optimization, cultivation condition

CLC Number:

Q815

Pan Dongmei, Yang Chuanlun, Zhang Xinqing, Ni Jianlong, Wang Xiuzhi, Wang Chun. BBD-response Surface Methodology Optimizes the Cultivation Conditions of Producing Gliotoxin by Trichoderma viride[J]. Chinese Agricultural Science Bulletin, 2020, 36(3): 111-116.

Figures/Tables 6

References 21

[1]	Orciuolo E, Stanzani M, Canestraro M , et al. Effects of Aspergillus fumigatus gliotoxin and methylprednisolone on humanneutrophils: implications for the pathogenesis of invasive aspergillosis[J]. Journal of Leukocyte Biology, 2007,82(4):839-848. doi: 10.1189/jlb.0207090 URL pmid: 17626149
[2]	李文利, 夏娟 . 二酮哌嗪类化合物生物合成研究进展[J]. 微生物学通报, 2014,41(1):111-121.
[3]	李莉媛, 朱天骄, 李德海 , 等. 多硫代二酮哌嗪类化合物的研究进展[J]. 中国抗生素杂志, 2013,38(3):161-174.
[4]	Kamei K, Watanabe A . Aspergillus mycotoxins and their effect on the host[J]. Medical Mycology, 2005,43(s1):95-99. doi: 10.1080/13693780500051547 URL
[5]	Kwon-Chung K J, Sugui J A . What do we know about the role of gliotoxin in the pathobiology of Aspergillus fumigatus[J]. Medical Mycology, 2009,47(s1):S97-103. doi: 10.1080/13693780802056012 URL pmid: 18608908
[6]	Hof H, Kupfahl C . Gliotoxin in Aspergillus fumigatus: an example that mycotoxins are potential virulence factors[J]. Mycotoxin Research, 2009,25(3):123-131. doi: 10.1007/s12550-009-0020-4 URL
[7]	陈俊杰, 杨梅, 张连茹 , 等. 胶毒素与BSA的相互作用[J]. 微生物学通报, 2009,36(8):1227-1231.
[8]	Kupfahl C, Michalka A, Lass-Flrl C , et al. Gliotoxin production by clinical and environmental Aspergillus fumigatus strains[J]. International Journal of Medical Microbiology, 2008,298(3-4):319-327. doi: 10.1016/j.ijmm.2007.04.006 URL pmid: 17574915
[9]	周万青, 沈瀚, 张之烽 , 等. 烟曲霉胶霉毒素的研究进展[J]. 中国真菌学杂志, 2011,6(2):118-121.
[10]	Auvin-Guette C, Rebuffot S, Prigent Y , et al. Triehogin A IV,an 11-residue 1ipopeptaibol from Trichoderma1ignorum[J]. Journal of the American Chemieal Soeiety, 1992,114:2170-2174.
[11]	Avent A G, Hanson J R, Truneh A . Metabolites of Gliocladium flavofuscum[J]. Phytoehemistry, 1993,32:197-198. doi: 10.1016/0031-9422(92)80131-W URL
[12]	刘路宁, 屠艳拉, 张敬泽 . 绿木霉菌株TY009防治纹枯病等水稻主要真菌病害的潜力[J]. 中国农业科学, 2010,43(10):2031-2038.
[13]	Lee F N, Rush M C . Rice sheath blight: A major rice disease[J]. Plant Disease, 1983,67:829-832. doi: 10.1094/PDIS-91-12-1663 URL pmid: 30780615
[14]	焦亚楠, 陈敏 . 胶霉毒素毒性机制研究进展[J]. 中国公共卫生, 2013,29(11):1656-1658. doi: 10.11847/zgggws2013-29-11-30 URL
[15]	Grsgorv K F, Allen O N, Riker A J , et al. Antibiotics asagents for the control of certain damping-off fungi[J]. Botanical Society of America, 1952,39:405-415.
[16]	Howell C R, Stipanovic R D, Lumsden R D . Antibiotic production by strains of Gliocladium virens and its relation to the biocontrol of cotton seedling diseases[J]. Biocontrol Science and Technology, 1993,3:435-441. doi: 10.1080/09583159309355298 URL
[17]	田泱源, 李瑞芳 . 响应面法在生物过程优化中的应用[J]. 食品工程, 2010(2):8-11.
[18]	Montgomery D C . Design and analysis of experiments[M]. New York:John Wiley & Sons, 2000: 46-51.
[19]	汪彬彬, 车振明 . Plackett-Burman和Box-Benhnken Design实验设计法优化华根霉产糖化酶发酵培养基的研究[J]. 食品科技, 2011(5):41-45.
[20]	李勇昊, 姜永生, 周长海 , 等. 响应面法优化里氏木霉Rut C-30产纤维素酶液体培养基[J]. 中国酿造, 2012(4):29-32. doi: 10.3969/j.issn.0254-5071.2012.04.008 URL
[21]	刘志祥, 曾超 . 响应面法在发酵培养基优化中的应用[J]. 北方园艺, 2009(2):127-129.

因素	水平
因素	-1	0	1
A/℃	26	28	30
B	5.5	6.0	6.5
C/%	3	5	7
D/h	36	48	60
E/h	36	48	60

因素	水平
因素	-1	0	1
A/℃	26	28	30
B	5.5	6.0	6.5
C/%	3	5	7
D/h	36	48	60
E/h	36	48	60

变异	平方和	自由度	均值	F值	P值	显著性
模型	12988.98	20	649.45	14.30	<0.0001	显著
A	639.96	1	639.96	14.09	0.0009	显著
B	1956.29	1	1956.29	43.06	<0.0001	显著
C	1925.24	1	1925.24	42.38	<0.0001	显著
D	1133.67	1	1133.67	24.96	<0.0001	显著
E	688.28	1	688.28	15.15	0. 0007	显著
AB	379.86	1	379.86	8.36	0.0078	显著
AC	33.96	1	33.93	0.75	0.3957	不显著
AD	39.06	1	39.06	0.86	0.3626	不显著
AE	115.78	1	115.78	2.55	0.1230	不显著
BC	195.86	1	195.86	4.31	0.0483	显著
BD	473.28	1	473.28	10.42	0.0035	显著
BE	56.40	1	56.40	1.24	0.2758	不显著
CD	0.16	1	0.16	3.522E-003	0.9531	不显著
CE	141.02	1	141.02	3.10	0.0903	不显著
DE	386.71	1	386.71	8.51	0.0074	显著
A²	1186.22	1	1186.22	26.11	<0.0001	显著
B²	506.66	1	506.66	11.15	0.0026	显著
C²	2620.61	1	2620.61	57.69	<0.0001	显著
D²	2900.69	1	2900.69	63.85	<0.0001	显著
E²	1646.65	1	1646.65	36.25	<0.0001	显著

变异	平方和	自由度	均值	F值	P值	显著性
模型	12988.98	20	649.45	14.30	<0.0001	显著
A	639.96	1	639.96	14.09	0.0009	显著
B	1956.29	1	1956.29	43.06	<0.0001	显著
C	1925.24	1	1925.24	42.38	<0.0001	显著
D	1133.67	1	1133.67	24.96	<0.0001	显著
E	688.28	1	688.28	15.15	0. 0007	显著
AB	379.86	1	379.86	8.36	0.0078	显著
AC	33.96	1	33.93	0.75	0.3957	不显著
AD	39.06	1	39.06	0.86	0.3626	不显著
AE	115.78	1	115.78	2.55	0.1230	不显著
BC	195.86	1	195.86	4.31	0.0483	显著
BD	473.28	1	473.28	10.42	0.0035	显著
BE	56.40	1	56.40	1.24	0.2758	不显著
CD	0.16	1	0.16	3.522E-003	0.9531	不显著
CE	141.02	1	141.02	3.10	0.0903	不显著
DE	386.71	1	386.71	8.51	0.0074	显著
A²	1186.22	1	1186.22	26.11	<0.0001	显著
B²	506.66	1	506.66	11.15	0.0026	显著
C²	2620.61	1	2620.61	57.69	<0.0001	显著
D²	2900.69	1	2900.69	63.85	<0.0001	显著
E²	1646.65	1	1646.65	36.25	<0.0001	显著