Pathogen identification of post-harvest rotten Lycium barbarum and screening of natural fungicides

doi:10.3969/j.issn.1004-1524.20240670

Acta Agriculturae Zhejiangensis ›› 2025, Vol. 37 ›› Issue (6): 1327-1335.DOI: 10.3969/j.issn.1004-1524.20240670

• Food Science • Previous Articles Next Articles

Pathogen identification of post-harvest rotten Lycium barbarum and screening of natural fungicides

MA Xian(), YOU Yuwei, KANG Juan, WANG Guoqin, ZHENG Rui, SU Jianyu, YUE Sijun^*()

Key Lab of Ministry of Education for Protection and Utilization of Special Biological Resources in the Western China, School of Life Sciences, Ningxia University, Yinchuan 750021, China

Received:2024-07-23 Online:2025-06-25 Published:2025-07-08

Abstract

Abstract:

The fresh fruit of Lycium barbarum exhibits limited storage resistance and is susceptible to decay after harvest. To elucidate the primary pathogenic fungi responsible for post-harvest decay of L. barbarum, the fresh L. barbarum fruit was utilized to isolate the pathogen causing post-harvest rot. The isolated fungi were identified based on their morphological and molecular characteristics. Additionally, the in vitro effect of 6 natural fungicides against the isolated fungi and their perservation effect on L. barbarum during storage were explored. It was shown that 3 fungi were isolated in the presented study, and were identified as Penicillium raistrickii (encoded as GQ3), Rhizopus oryzae (encoded as GQ4), and Wickerhamomyces anomalus (encoded as GQ5). The indoor toxicity test revealed that nisin exhibited the most potent inhibitory effect on the growth of the three fungi, with median effective concentration (EC₅₀) values of 0.032 0, 0.013 0 and 0.034 0 g·mL^-1 for GQ3, GQ4 and GQ5, respectively. Chitosan demonstrated the strongest inhibitory effect on spore germination of the three fungi, with EC₅₀ values of 0.006 4, 0.012 2 and 0.010 2 g·mL^-1 for GQ3, GQ4 and GQ5, respectively. Nison, glucose oxidase, chitosan, polylysine, steviol glycosides and garlic grinding liquid all exhibited presevation effects on L. barbarum during storage, and nison, glucose oxidase showed the best performace among them. These findings could offer theoretical foundation for the prevention of fresh fruits of L. barbarum in Ningxia, China.

Key words: Lycium barbarum, postharvest preservation, pathogen, isolation and identification, natural bacteriostatic agents

CLC Number:

MA Xian, YOU Yuwei, KANG Juan, WANG Guoqin, ZHENG Rui, SU Jianyu, YUE Sijun. Pathogen identification of post-harvest rotten Lycium barbarum and screening of natural fungicides[J]. Acta Agriculturae Zhejiangensis, 2025, 37(6): 1327-1335.

Figures/Tables 6

References 29

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抑菌剂 Fungicide	病原菌 Pathogen	毒力回归方程 Regression equation	相关系数(r) Correlation coefficient(r)	EC₅₀/ (g·mL^-1)
乳酸链球菌Nisin	GQ3	y = 1.238 1x + 6.852 0	0.901 4	0.032 0
	GQ4	y = 0.876 8x + 6.655 2	0.908 1	0.013 0
	GQ5	y = 1.273 7x + 6.867 0	0.918 5	0.034 0
葡萄糖氧化酶Glucose oxidase	GQ3	y = 0.739 0x + 5.761 8	0.948 0	0.093 0
	GQ4	y = 0.641 4x + 5.951 1	0.920 9	0.033 0
	GQ5	y = 2.702 6x + 6.944 9	0.895 0	0.191 0

抑菌剂 Fungicide	病原菌 Pathogen	毒力回归方程 Regression equation	相关系数(r) Correlation coefficient(r)	EC₅₀/ (g·mL^-1)
乳酸链球菌Nisin	GQ3	y = 1.238 1x + 6.852 0	0.901 4	0.032 0
	GQ4	y = 0.876 8x + 6.655 2	0.908 1	0.013 0
	GQ5	y = 1.273 7x + 6.867 0	0.918 5	0.034 0
葡萄糖氧化酶Glucose oxidase	GQ3	y = 0.739 0x + 5.761 8	0.948 0	0.093 0
	GQ4	y = 0.641 4x + 5.951 1	0.920 9	0.033 0
	GQ5	y = 2.702 6x + 6.944 9	0.895 0	0.191 0

抑菌剂 Fungicide	病原菌 Pathogen	毒力回归方程 Regression equation	相关系数(r) Correlation coefficient(r)	EC₅₀/ (g·mL^-1)
大蒜研磨液Garlic grinding liquid	GQ3	y = 2.306 3x + 5.797 8	0.931 0	0.450 0
	GQ4	y = 1.527 5x + 5.895 7	0.959 2	0.260 0
	GQ5	y = 3.235 3x + 6.751 9	0.993 3	0.290 0
甜菊糖苷Steviol glycosides	GQ3	y = 2.851 2x + 6.782 5	0.895 9	0.240 0
	GQ4	y = 2.612 1x + 6.193 4	0.858 1	0.350 0
	GQ5	y = 2.857 6x + 6.914 9	0.901 6	0.210 0
壳聚糖Chitosan	GQ3	y = 2.026 5x + 9.440 2	0.824 5	0.006 4
	GQ4	y = 4.294 7x + 13.214 0	0.997 5	0.012 2
	GQ5	y = 4.412 3x + 13.792 0	0.927 9	0.010 2
聚赖氨酸Polylysine	GQ3	y = 2.039 1x + 7.178 9	0.899 5	0.085 0
	GQ4	y = 2.867 6x + 7.830 6	0.962 8	0.103 0
	GQ5	y = 3.640 4x + 9.501 0	0.953 7	0.058 0

抑菌剂 Fungicide	病原菌 Pathogen	毒力回归方程 Regression equation	相关系数(r) Correlation coefficient(r)	EC₅₀/ (g·mL^-1)
大蒜研磨液Garlic grinding liquid	GQ3	y = 2.306 3x + 5.797 8	0.931 0	0.450 0
	GQ4	y = 1.527 5x + 5.895 7	0.959 2	0.260 0
	GQ5	y = 3.235 3x + 6.751 9	0.993 3	0.290 0
甜菊糖苷Steviol glycosides	GQ3	y = 2.851 2x + 6.782 5	0.895 9	0.240 0
	GQ4	y = 2.612 1x + 6.193 4	0.858 1	0.350 0
	GQ5	y = 2.857 6x + 6.914 9	0.901 6	0.210 0
壳聚糖Chitosan	GQ3	y = 2.026 5x + 9.440 2	0.824 5	0.006 4
	GQ4	y = 4.294 7x + 13.214 0	0.997 5	0.012 2
	GQ5	y = 4.412 3x + 13.792 0	0.927 9	0.010 2
聚赖氨酸Polylysine	GQ3	y = 2.039 1x + 7.178 9	0.899 5	0.085 0
	GQ4	y = 2.867 6x + 7.830 6	0.962 8	0.103 0
	GQ5	y = 3.640 4x + 9.501 0	0.953 7	0.058 0

抑菌剂 Fungicide	腐烂指数 Rod index	防治效果 Control efficacy /%
乳酸链球菌素Nisin	0.067±0.033 c	97.561±1.220 a
葡萄糖氧化酶	0.200±0.115 c	92.683±4.225 a
Glucose oxidase
大蒜研磨液	1.500±0.173 b	45.121±6.337 b
Garlic grinding liquid
甜菊糖苷	1.200±0.115 b	56.097±4.225 b
Steviol glycosides
壳聚糖Chitosan	1.667±0.120 b	39.024±4.397 b
聚赖氨酸Polylysine	1.800±0.379 b	34.146±13.851 b
CK	2.733±0.067 a	-

Pathogen identification of post-harvest rotten Lycium barbarum and screening of natural fungicides

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