Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry

Publication Date:
2018-05-31
Publisher:
Royal Society
Electronic ISSN:
2054-5703
Topics:
Natural Sciences in General
Keywords:
biochemistry
Published by:
_version_ 1836398952027521024
autor Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
beschreibung The metabolic profiles of tobacco leaves of two differential Chinese cultivars from different growing regions were analysed using gas chromatography–mass spectrometry (GC–MS). The results of principal component analysis, partial least-squares discriminant analysis and hierarchical cluster analysis showed significant differences in metabolome among three groups, identified 24 differential metabolites, and analysed the metabolic pathway in which the metabolites were involved. Among them, 13 metabolites were associated with geographical regions, including seven organic and fatty acids, four carbohydrates and two secondary metabolites. Four amino acids and two monosaccharides were associated with cultivars and the remaining five metabolites were associated with both. The relationships among the differential metabolites and the distinct characteristics of environment and cultivar were further discussed. In addition, correlation analysis indicated that most of the differential carbohydrates were negatively correlated with the differential amino acids and organic acids. Taken together, this study demonstrates the metabolite differences between two cultivars in different regions, and highlights the effect of environment and cultivar on tobacco leaf metabolism.
citation_standardnr 6272300
datenlieferant ipn_articles
feed_id 220702
feed_publisher Royal Society
feed_publisher_url http://royalsocietypublishing.org/
insertion_date 2018-05-31
journaleissn 2054-5703
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Royal Society
quelle Royal Society Open Science
relation http://rsos.royalsocietypublishing.org/cgi/content/short/5/5/180261?rss=1
schlagwort biochemistry
search_space articles
shingle_author_1 Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
shingle_author_2 Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
shingle_author_3 Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
shingle_author_4 Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
shingle_catch_all_1 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
biochemistry
The metabolic profiles of tobacco leaves of two differential Chinese cultivars from different growing regions were analysed using gas chromatography–mass spectrometry (GC–MS). The results of principal component analysis, partial least-squares discriminant analysis and hierarchical cluster analysis showed significant differences in metabolome among three groups, identified 24 differential metabolites, and analysed the metabolic pathway in which the metabolites were involved. Among them, 13 metabolites were associated with geographical regions, including seven organic and fatty acids, four carbohydrates and two secondary metabolites. Four amino acids and two monosaccharides were associated with cultivars and the remaining five metabolites were associated with both. The relationships among the differential metabolites and the distinct characteristics of environment and cultivar were further discussed. In addition, correlation analysis indicated that most of the differential carbohydrates were negatively correlated with the differential amino acids and organic acids. Taken together, this study demonstrates the metabolite differences between two cultivars in different regions, and highlights the effect of environment and cultivar on tobacco leaf metabolism.
Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
Royal Society
2054-5703
20545703
shingle_catch_all_2 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
biochemistry
The metabolic profiles of tobacco leaves of two differential Chinese cultivars from different growing regions were analysed using gas chromatography–mass spectrometry (GC–MS). The results of principal component analysis, partial least-squares discriminant analysis and hierarchical cluster analysis showed significant differences in metabolome among three groups, identified 24 differential metabolites, and analysed the metabolic pathway in which the metabolites were involved. Among them, 13 metabolites were associated with geographical regions, including seven organic and fatty acids, four carbohydrates and two secondary metabolites. Four amino acids and two monosaccharides were associated with cultivars and the remaining five metabolites were associated with both. The relationships among the differential metabolites and the distinct characteristics of environment and cultivar were further discussed. In addition, correlation analysis indicated that most of the differential carbohydrates were negatively correlated with the differential amino acids and organic acids. Taken together, this study demonstrates the metabolite differences between two cultivars in different regions, and highlights the effect of environment and cultivar on tobacco leaf metabolism.
Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
Royal Society
2054-5703
20545703
shingle_catch_all_3 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
biochemistry
The metabolic profiles of tobacco leaves of two differential Chinese cultivars from different growing regions were analysed using gas chromatography–mass spectrometry (GC–MS). The results of principal component analysis, partial least-squares discriminant analysis and hierarchical cluster analysis showed significant differences in metabolome among three groups, identified 24 differential metabolites, and analysed the metabolic pathway in which the metabolites were involved. Among them, 13 metabolites were associated with geographical regions, including seven organic and fatty acids, four carbohydrates and two secondary metabolites. Four amino acids and two monosaccharides were associated with cultivars and the remaining five metabolites were associated with both. The relationships among the differential metabolites and the distinct characteristics of environment and cultivar were further discussed. In addition, correlation analysis indicated that most of the differential carbohydrates were negatively correlated with the differential amino acids and organic acids. Taken together, this study demonstrates the metabolite differences between two cultivars in different regions, and highlights the effect of environment and cultivar on tobacco leaf metabolism.
Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
Royal Society
2054-5703
20545703
shingle_catch_all_4 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
biochemistry
The metabolic profiles of tobacco leaves of two differential Chinese cultivars from different growing regions were analysed using gas chromatography–mass spectrometry (GC–MS). The results of principal component analysis, partial least-squares discriminant analysis and hierarchical cluster analysis showed significant differences in metabolome among three groups, identified 24 differential metabolites, and analysed the metabolic pathway in which the metabolites were involved. Among them, 13 metabolites were associated with geographical regions, including seven organic and fatty acids, four carbohydrates and two secondary metabolites. Four amino acids and two monosaccharides were associated with cultivars and the remaining five metabolites were associated with both. The relationships among the differential metabolites and the distinct characteristics of environment and cultivar were further discussed. In addition, correlation analysis indicated that most of the differential carbohydrates were negatively correlated with the differential amino acids and organic acids. Taken together, this study demonstrates the metabolite differences between two cultivars in different regions, and highlights the effect of environment and cultivar on tobacco leaf metabolism.
Sun, B., Zheng, A.-H., Zhang, F., Wei, K.-S., Chen, Q., Luo, Y., Zhang, Y., Wang, X.-R., Lin, F.-C., Yang, J., Tang, H.-R.
Royal Society
2054-5703
20545703
shingle_title_1 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
shingle_title_2 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
shingle_title_3 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
shingle_title_4 Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
timestamp 2025-06-30T23:35:14.959Z
titel Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
titel_suche Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry
topic TA-TD
uid ipn_articles_6272300