Deciphering Ascorbic Acid Regulatory Pathways in Ripening Tomato Fruit Using a Weighted Gene Correlation Network Analysis Approach

Journal of Integrative Plant Biology

Volumn 55, Issue 11, 2013, Pages 1080-1091

  Gao, Chao ^a   Ju, Zheng ^a   Li, Shan ^a   Zuo, Jinhua ^b   Fu, Daqi ^a   Tian, Huiqin ^a   Luo, Yunbo ^a   Zhu, Benzhong ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b BEIJING VEGETABLE RESEARCH CENTER   (China)

Author keywords

Gene co expression; L ascorbic acid; Network; System biology; Weighted gene correlation network analysis approach

Indexed keywords

ASCORBIC ACID; FRUIT; GENE EXPRESSION; GENOTYPE; NETWORK ANALYSIS;

LYCOPERSICON ESCULENTUM;

ASCORBIC ACID; TRANSCRIPTION FACTOR;

ARTICLE; CLUSTER ANALYSIS; FRUIT; GENE CO-EXPRESSION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; GROWTH, DEVELOPMENT AND AGING; HUMAN; L-ASCORBIC ACID; METABOLISM; NETWORK; PLANT GENE; SYSTEM BIOLOGY; TOMATO; WEIGHTED GENE CORRELATION NETWORK ANALYSIS APPROACH;

GENE CO-EXPRESSION; L-ASCORBIC ACID; NETWORK; SYSTEM BIOLOGY; WEIGHTED GENE CORRELATION NETWORK ANALYSIS APPROACH;

ASCORBIC ACID; CLUSTER ANALYSIS; FRUIT; GENE EXPRESSION REGULATION, PLANT; GENE REGULATORY NETWORKS; GENES, PLANT; HUMANS; LYCOPERSICON ESCULENTUM; TRANSCRIPTION FACTORS;

EID: 84887173809     PISSN: 16729072     EISSN: 17447909     Source Type: Journal    
DOI: 10.1111/jipb.12079     Document Type: Article

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