Introduction: Air curing (AC) plays a crucial role in cigar tobacco leaf production. The AC environment is relatively mild, contributing to a diverse microbiome. Fungi are important components of the tobacco and environmental microbiota. However, our understanding of the composition and function of fungal communities in AC remains limited.
Methods: In this study, changes in the chemical constituents and fungal community composition of cigar tobacco leaves during AC were evaluated using flow analysis and high-throughput sequencing.
Results: The moisture, water-soluble sugar, starch, total nitrogen, and protein contents of tobacco leaves exhibited decreasing trends, whereas nicotine showed an initial increase, followed by a decline. As determined by high-throughput sequencing, fungal taxa differed among all stages of AC. Functional prediction showed that saprophytic fungi were the most prevalent type during the AC process and that the chemical composition of tobacco leaves is significantly correlated with saprophytic fungi.
Conclusion: This study provides a deeper understanding of the dynamic changes in fungal communities during the AC process in cigar tobacco leaves and offers theoretical guidance for the application of microorganisms during the AC process.
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http://dx.doi.org/10.3389/fmicb.2024.1361649 | DOI Listing |
Front Plant Sci
December 2024
Key Laboratory in Flavor and Fragrance Basic Research, Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou, China.
Cigar tobacco leaves exhibited distinct regional characteristics, and aroma compounds were the key substances determining the different style features of cigars. However, the differences in aroma characteristics and the mechanisms of key aroma compound synthesis have not been fully elucidated. This study collected filler tobacco leaves (FTLs) from 5 representative domestic and international production regions.
View Article and Find Full Text PDFFront Microbiol
December 2024
Cigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Introduction: In order to enhance the quality of cigar tobacco leaves (CTLs), a gradient variable temperature fermentation approach was employed.
Methods: The temperature gradient demonstrated a gradual increase from low temperature (35 ± 2°C) to moderate temperature (45 ± 2°C), and then to high temperature (55 ± 2°C). Each temperature gradient underwent a 10-day fermentation process, resulting in a total duration of 30 days.
J Hazard Mater
December 2024
Department of Molecular Biosciences and Bioengineering, University of Hawaii at Manoa, 1955 East-West Road, Honolulu, HI 96822, United States; State Key Laboratory of Tea Plant Biology and Utilization; School of Tea Science, Anhui Agricultural University, Hefei, 230036, China. Electronic address:
Misuse of insecticides such as thiamethoxam (TMX) not only affects the quality of tea but also leaves residues in tea. Therefore, exploring the metabolic mechanisms of TMX in tea plants can evaluate effects of pesticides on the environment and human health. Here, effects of TMX on tea plants were studied.
View Article and Find Full Text PDFSci Rep
December 2024
Microelement Research Center, College of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Road, Wuhan, 430070, China.
The quality of cigar tobacco leaves is profoundly affected by the timing of their harvest, with both early and late collections resulting in inferior characteristics. While the relationship between maturity and physiological metabolic processes is acknowledged, a comprehensive understanding of the physiological behavior of cigar leaves harvested at different stages remains elusive. This research investigated the physiological and metabolomic profiles of the cigar tobacco variety CX-014, grown in Danjiangkou City, Hubei Province, with leaves sampled at 35 (T1), 42 (T2), 49 (T3), and 56 (T4) days post-inflorescence removal.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Food Science and Technology, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, People's Republic of China.
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle changes due to environmental differences during the air-curing phase. This study aims to evaluate the feasibility of deep learning methods in overcoming data limitations to develop a VNIR-HSI prediction model for the quality of cigar tobacco leaves at different air-curing levels.
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