Variable characteristics of microbial communities on the surface of sweet cherries under different storage conditions
文献类型: 外文期刊
第一作者: Zhang, Qian
作者: Zhang, Qian;Xi, Liangqing;Zou, Hui;Chen, Yilun;Zhang, Qian;Zou, Man;Xin, Li;Shi, Wencong;Zhou, Bo;Gao, Zheng;Shi, Wencong;Zhou, Bo;Gao, Zheng;Du, Haiyun
作者机构:
关键词: Postharvest rot; Fungal community; Bacterial community; Sweet cherry; Storage condition
期刊名称:POSTHARVEST BIOLOGY AND TECHNOLOGY ( 影响因子:5.537; 五年影响因子:5.821 )
ISSN: 0925-5214
年卷期: 2021 年 173 卷
页码:
收录情况: SCI
摘要: Ripe fruit is susceptible to postharvest rotting induced by microbial pathogens. The development of fruit storage technologies requires a comprehensive understanding of the overall microbial community involved in fruit storage. In this study, we investigated the microbiota of bacteria and fungi on cherry surfaces under room temperature storage condition (25 degrees C) and low-temperature storage condition (0 degrees C) using high-throughput sequencing. The results demonstrated that Enterobacter, Erwinia, Botrytis, and unidentified Pleosporales were significantly enriched in the rotten samples, while Bacillus and Aureobasidium were enriched in the unrotten samples. After the fruit rotted, more dramatic changes were observed in fungal microbiota than in bacterial microbiota. Rotting significantly reduced fungal alpha-diversity without noticeably altering bacterial alpha-diversity, under both room-temperature storage and low-temperature storage conditions. Furthermore, temperature condition significantly impacted the composition of the surface microbiota of cherries, and the microbiota changed more significant when rotting under room-temperature storage condition than under low-temperature storage condition. Low-temperature storage reduced the alpha-diversity and network complexity. Significant correlations among potential pathogens, beneficial microorganisms, and other microbiota members indicated that in addition to pathogens, microbiota along with pathogens also influences fruit rot. This study provides new insight into the dynamics of the microbiome in cherries during storage.
分类号:
- 相关文献
作者其他论文 更多>>
-
Comprehensive metabolic profiling of dioxin-like compounds exposure in laying hens: Implications for toxicity assessment
作者:Hu, Xiaoxu;Xu, Tong;Chen, Yangsheng;Zheng, Liping;Wang, Chu;Zhang, Qinghua;Xie, Heidi Qunhui;Xu, Li;Zhao, Bin;Hu, Xiaoxu;Xu, Tong;Chen, Yangsheng;Zheng, Liping;Wang, Chu;Zhang, Qinghua;Xie, Heidi Qunhui;Xu, Li;Zhao, Bin;Zhang, Qian;Tang, Lijuan;Wang, Pu;Dong, Shujun;Wang, Ruiguo;Zhang, Su
关键词:Polychlorinated dibenzo-p-dioxins; and furans; Dioxin-like polychlorinated; biphenyls; Laying hens; Metabolomic
-
Replacing dietary alfalfa hay with nettle benefits rumen ph balance and microbiota in rumen and feces with minimal effects on performance and digestibility in dairy cows
作者:Zhang, Qian;Ta, Na;Zhang, Jize;Ding, He;Zhang, Xiaoqing;Zhang, Tenglong
关键词:Cow; Nettle; Rumen fermentation; Gastrointestinal microbiota; Lactation performance; Nutrient digestibility
-
Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland
作者:Zhang, Jinmeng;Yu, Feng;Zhang, Qian;Wang, Ming;Yu, Jinying;Tan, Yarong;Yu, Feng
关键词:unmanned aerial vehicle; convolutional neural network; deep learning; weed detection; weed management
-
An Original UV Adhesive Watermelon Grafting Method, the Grafting Device, and Experimental Verification
作者:Zhang, Xin;Kong, Linghao;Lu, Hanwei;Zhang, Xin;Feng, Qingchun;Li, Tao;Jiang, Kai;Zhang, Qian
关键词:watermelon grafting; UV adhesive; fluent; VOF-DPM numerical simulation; grafting device; test
-
Virulent Fusarium isolates with diverse morphologies show similar invasion and colonization strategies in alfalfa
作者:Yang, Jian;Jing, Yuqing;Li, Siyang;Lan, Bo;Yin, Kangquan;Han, Jing;Zhang, Qian
关键词:fungal disease; root rot; forage crops; virulence; conidia; colonization
-
CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism
作者:Ren, Zilin;Jiang, Lili;Di, Yaxin;Zhang, Dufei;Jiang, Qiwei;Zhou, Bo;Ren, Zilin;Jiang, Lili;Zhang, Dufei;Fu, Zhiguo;Sun, Pingping;Di, Yaxin;Gong, Jianli;Gong, Jianting;Ni, Ming
关键词:
-
Multitemporal Field-Based Maize Plant Height Information Extraction and Verification Using Solid-State LiDAR
作者:Zhao, Junhong;Zhou, Xingxing;Chen, Shengde;Zhou, Bo;He, Haoxiang;Zhao, Yingjie;Wang, Yu
关键词:iterative closest point; maize; plant height; point cloud; solid-state LiDAR; supervoxel clustering algorithm