Transcriptomic and biochemical analyses reveal the antifungal mechanism of cell-free supernatant from Aspergillus luchuensis YZ-1 against Aspergillus flavus

黄曲霉 曲霉 抗真菌 微生物学 转录组 生物 机制(生物学) 生物化学 基因 基因表达 哲学 认识论
作者
Xiyan Zhang,Rui Jiao,Yuwei Ren,Yang Wang,Hui Li,Dexin Ou,Na Ling,Yingwang Ye
出处
期刊:Food bioscience [Elsevier BV]
卷期号:59: 103961-103961 被引量:11
标识
DOI:10.1016/j.fbio.2024.103961
摘要

Aspergillus flavus (A. flavus) and its metabolites, aflatoxins, are widespread in crops and foods, threatening public health. Using chemical fungicides to control A. flavus can pose safety hazards and cause environmental pollution. Therefore, there is an urgent need for safe and effective antifungal agents to control A. flavus. In this study, we isolated Aspergillus luchuensisYZ-1 cell-free supernatant (CFS), volatiles, and mycelial extracts to investigate their inhibitory effects on A. flavus. Results indicate that the CFS exhibited greater efficacy in impeding the growth and synthesis of aflatoxin B1 (AFB1) in A. flavus. Transcriptomic analysis revealed a significant downregulation of lipid metabolism, biosynthesis of other secondary metabolites, and glycan metabolism in A. flavus treated with CFS. Approximately 94% of the genes in the aflatoxin synthesis pathway were significantly downregulated. Furthermore, the CFS treatment significantly increased reactive oxygen species (ROS) production in A. flavus, affected its energy metabolism, and upregulated methane metabolism and the pentose phosphate pathway. We then investigated the inhibitory mechanism of YZ-1 against A. flavus by biochemical analysis. It was further confirmed that CFS had destructive effects in the cell wall and cell membrane of A. flavus, as indicated by leakage of nucleic acids, proteins, alkaline phosphatase (AKP), as well as decreased chitin and ergosterol content. In summary, this study provides novel insights into the mechanisms of CFS against A. flavus, suggesting its potential as a biocontrol agent in food and agriculture.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
zlren发布了新的文献求助10
1秒前
小屁孩完成签到,获得积分0
1秒前
xing_xing应助爱笑代芹采纳,获得20
2秒前
2秒前
小明发布了新的文献求助10
2秒前
夜星DIANDIAN完成签到,获得积分10
2秒前
2秒前
3秒前
千秋完成签到,获得积分20
3秒前
4秒前
袁裘发布了新的文献求助10
4秒前
你好完成签到,获得积分10
4秒前
Thanatos完成签到,获得积分10
4秒前
Jasper应助呵呵呵采纳,获得10
4秒前
drccy发布了新的文献求助10
4秒前
哭泣发夹发布了新的文献求助30
6秒前
yyl完成签到,获得积分10
6秒前
AJY完成签到,获得积分10
6秒前
6秒前
MASAMI完成签到,获得积分10
7秒前
咿呀发布了新的文献求助10
7秒前
1104481279应助dde采纳,获得10
8秒前
Thanatos发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
可爱的函函应助AJY采纳,获得10
9秒前
谨慎易文发布了新的文献求助10
9秒前
外向烨磊完成签到,获得积分10
10秒前
10秒前
科研通AI2S应助小明采纳,获得10
11秒前
m78发布了新的文献求助10
13秒前
13秒前
赘婿应助麦芒采纳,获得10
13秒前
13秒前
Xavier完成签到 ,获得积分10
15秒前
张可欣发布了新的文献求助10
15秒前
15秒前
外向烨磊发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7615635
求助须知:如何正确求助?哪些是违规求助? 9190903
关于积分的说明 19694143
捐赠科研通 7188200
什么是DOI,文献DOI怎么找? 3271416
关于科研通互助平台的介绍 2434568
邀请新用户注册赠送积分活动 2266456