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Biological Characteristics of Beauveria majiangensis Strain MJ1015 and Optimization of Solid Medium Technology for Sporulation Cover

Biological Characteristics of Beauveria majiangensis Strain MJ1015 and Optimization of Solid Medium Technology for Sporulation

Open Access
|Dec 2023

Figures & Tables

Fig. 1

Effect of different culture conditions on colony growth rate and sporulation. Effect of different media (a–b), temperatures (c–d), and pH values (e–f) on colony growth rate and sporulation of Beauveria majiangensis strain MJ1015. Values shown are means ± the standard error. Different lowercase letters indicate significant differences between values (p < 0.05). PDA – potato dextrose agar medium, CZM – base medium, SDAY – Sabouraud dextrose agar with yeast extract medium, ¼ SDAY – ¼ Sabouraud dextrose agar with yeast extract medium.

Fig. 2

a–f. Solid medium single-factor screening. Effect of different carbon sources (a–b), proportions of rice and wheat (c–d), nitrogen sources (e–f), and inorganic salts (g–h) on colony growth rate and sporulation of Beauveria majiangensis strain MJ1015. Values shown are means ± the standard error. Different lowercase letters indicate a significant difference between values (p < 0.05).

Fig. 3

(a–d). Response surface diagrams showing the effects of rice and NaNO3 (contour (a) and 3D plots (b)), rice and K2HPO4 · 3H2O (contour (c) and 3D plots (d)), NaNO3 and K2HPO4 · 3H2O (contour (e) and 3D plots (f)) on the sporulation of Beauveria majiangensis strain MJ1015.

Plackett-Burman design and response values_

OrderVariable codeY Sporulation (conidia/l) 1 × 109
X1X2X3X4X5X6X7X8
111−1111−1−122.370 ± 1.833
2−111−1111−12.860 ± 0.282
31−111−11114.267 ± 0.466
4−11−111−1110.923 ± 0.117
5−1−11−111−119.043 ± 1.283
6−1−1−11−111−11.487 ± 0.289
71−1−1−11−11133.453 ± 3.836
811−1−1−11−1130.840 ± 2.155
9111−1−1−11−111.113 ± 0.934
10−1111−1−1−115.773 ± 0.636
111−1111−1−1−16.950 ± 0.865
12−1−1−1−1−1−1−1−15.650 ± 1.211
130000000010.628 ± 1.353
140000000013.027 ± 1.477
150000000019.129 ± 1.886

Results of regression analysis of Plackett-Burman design_

SourceFactordfSporulation (Y)
Sum of squaresMean squareF-valuep-value
Model 511.692.347.840.0060**
X10.736516.516.5121.810.0016**
X20.031310.01170.01170.03930.8477
X4-0.478912.752.759.220.0162*
X50.044810.02410.02410.08070.7836
X7-0.446812.402.408.030.0220*
Residual 82.390.2985
Cor total 1415.30

Range of different factors investigated with Plackett-Burman design_

SymbolVariablesExperimental value
Low (−1)High (+1)
X1Rice (g/l)2733.75
X2Wheat (g/l)1316.25
X3Virtual 1−11
X4NaNO3 (g/l)11.25
X5CaCO3 (g/l)11.25
X6Virtual 2−11
X7K2HPO4 · 3H.O (g/l)11 .25
X8Virtual 3−11

Experimental design and results of steepest ascent path_

Level of factorFactor coded valueFactor actual valueSporulation (conidia/l) 1 × 109
RiceNaNO3K2HPO4 · 3H2ORiceNaNO3K2HPO4 · 3H2O
Step lengthΔ10.1250.1253.3750.1250.125n.d.
Origin00.0000.00030.3751.1251.12510.627 ± 0.342
Origin + 1Δ10.1250.12533.7501.0441.0499.043 ± 0.532
Origin + 2Δ20.2500.25037.1250.9620.9735.273 ± 0.136
Origin + 3Δ30.3750.37540.5000.8810.8984.837 ± 0.229
Origin + 4Δ40.5000.50043.8750.8000.8221.880 ± 0.218
Origin + 5Δ50.6250.62547.2500.7190.7460.730 ± 0.063
Origin + 6Δ60.7500.75050.6250.6370.6700.620 ± 0.008
Origin + 7Δ70.8750.87554.0000.5560.59429.487 ± 0.546
Origin + 8Δ81.0001.00057.3750.4750.51828.773 ± 0.540
Origin + 9Δ91.1251.12560.7500.3930.44335.627 ± 1.806
Origin + 10Δ101.2501.25064.1250.3120.36747.587 ± 4.056
Origin + 11Δ111.3751.37567.5000.2310.2919.917 ± 0.451
Origin + 12Δ121.5001.50070.8750.1500.2152.420 ± 0.079
Origin + 13Δ131.6251.62574.2500.0680.1393.967 ± 0.138

Response surface central composite design and corresponding results_

RunCoded variable levelY Sporulation (conidia/l) 1 × 109
ABC
1−1−1−11.95 + 0.108
21−1−12.75 + 0.085
3−11−11.60 + 0.070
411−12.34 + 0.098
5−1−111.75 + 0.060
61−112.16 + 0.117
7−1111.45 + 0.062
81111.55 + 0.076
9−1.6818002.13 + 0.061
101.6818002.91 + 0.077
110−1.681802.70 + 0.102
1201.681801.23 + 0.038
1300−1.68182.58 + 0.076
14001.68182.85 + 0.059
150004.90 + 0.077
160004.88 + 0.088
170004.67 + 0.119
180004.25 + 0.110
190004.57 + 0.085
200003.70 + 0.082

Response surface optimization results validation_

MediumColony growth (mm/d)Sporulation (conidia/l) 1 × 1010
New medium4.46 ± 0.044.54 ± 0.16
SDAY2.41 ± 0.030.10 ± 0.02
PDA2.28 ± 0.030.47 ± 0.04

ANOVA for response surface quadratic polynomial model_

SourcedfSporulation (Y) 
Sum of squaresMean squareF-valuep-value
Model92.668 × 10212.965 × 102015.93< 0.0001significant
A-Rice18.275 × 10198.275 × 10194.4500.0612
B-NaNO311.256 × 10201.256 × 10206.7500.0266
C-K2HPO4 · 3H2O11.180 × 10191.180 × 10190.63360.4445
AB11.650 × 10181.650 × 10180.08860.7720
AC11.343 × 10191.343 × 10190.71260.4155
BC13.335 × 10173.335 × 10170.01790.8962
A218.529 × 10208.529 × 102045.810< 0.0001
B211.339 × 10211.339 × 102171.900< 0.0001
C217.069 × 10207.069 × 101837.9700.0001
Residual101.862 × 10201.862 × 1019
Lack of fit58.170 × 10191.634 × 10190.78210.6030not significant
Pure error51.045 × 10202.089 × 1019
Cor Total192.855 × 1021
R2 0.9348
Adjusted R2 0.8761

Factors and levels of response surface central composite design_

SymbolVariablesCode level
−1.6828−1011.6818
ARice (g/l)58.448960.7564.12567.5069.8011
BNaNO3 (g/l)0.17550.230.310.390.44459
CK2HPO4 · 3H2O (g/l)0.23890.290.3650.440.49119
DOI: https://doi.org/10.33073/pjm-2023-033 | Journal eISSN: 2544-4646 | Journal ISSN: 1733-1331
Language: English
Page range: 377 - 389
Submitted on: May 22, 2023
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Accepted on: Jul 24, 2023
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Published on: Dec 16, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Xinghong Wang, Zhenxing Huang, Congchun Li, Man Liu, Guangming Yang, Lilin Luo, Yongchao Rao, Yan Shen, Jing Wang, published by Polish Society of Microbiologists
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.