A predicted protein functional network aids in novel gene mining for characteristic secondary metabolites in tea plant (Camellia sinensis)-Reference-Cited by-同舟云学术

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A predicted protein functional network aids in novel gene mining for characteristic secondary metabolites in tea plant (Camellia sinensis)

Published:2020-10-15 Issue:1 Volume:45 Page:
ISSN:0250-5991
Container-title:Journal of Biosciences
language:en
Short-container-title:J Biosci

Author:

Zhang Shihua,Ma Yong,Zhang Rui,He Xiaolong,Chen Ying,Du Jingke,Ho Chi-tang,Zhang Youhua,Han Guomin,Hu Xiaoyi

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s12038-020-00101-x.pdf

Reference33 articles.

1. Bader GD and Hogue CW 2003 An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform. 4 2

2. Barab AL and Bonabeau E 2003 Scale-free networks. Sci. Am. 288 60–69

3. Barabasi AL and Oltvai ZN 2004 Network biology: Understanding the cell’s functional organization. Nat. Rev. Genet. 5 101–U115

4. Brbaklic L, Trkulja D, Kondicspika A and Kobiljski STB 2013 Detection of QTLs for important agronomical traitsin hexaploid wheat using association analysis. Czech J. Genet. Plant Breed. 49 1–8

5. Cantoro R, Crocco CD, Benecharnold RL and Rodríguez MVJJOEB 2013 In vitro binding of Sorghum bicolor transcription factors ABI4 and ABI5 to a conserved region of a GA 2-OXIDASE promoter: possible role of this interaction in the expression of seed dormancy. J. Exp. Bot. 64 5721–5735

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