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Global transcriptome and gene regulation network for secondary metabolite biosynthesis of tea plant (Camellia sinensis)

Overview of attention for article published in BMC Genomics, July 2015
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Title
Global transcriptome and gene regulation network for secondary metabolite biosynthesis of tea plant (Camellia sinensis)
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1773-0
Pubmed ID
Authors

Chun-Fang Li, Yan Zhu, Yao Yu, Qiong-Yi Zhao, Sheng-Jun Wang, Xin-Chao Wang, Ming-Zhe Yao, Da Luo, Xuan Li, Liang Chen, Ya-Jun Yang

Abstract

Major secondary metabolites, including flavonoids, caffeine, and theanine, are important components of tea products and are closely related to the taste, flavor, and health benefits of tea. Secondary metabolite biosynthesis in Camellia sinensis is differentially regulated in different tissues during growth and development. Until now, little was known about the expression patterns of genes involved in secondary metabolic pathways or their regulatory mechanisms. This study aimed to generate expression profiles for C. sinensis tissues and to build a gene regulation model of the secondary metabolic pathways. RNA sequencing was performed on 13 different tissue samples from various organs and developmental stages of tea plants, including buds and leaves of different ages, stems, flowers, seeds, and roots. A total of 43.7 Gbp of raw sequencing data were generated, from which 347,827 unigenes were assembled and annotated. There were 46,693, 8446, 3814, 10,206, and 4948 unigenes specifically expressed in the buds and leaves, stems, flowers, seeds, and roots, respectively. In total, 1719 unigenes were identified as being involved in the secondary metabolic pathways in C. sinensis, and the expression patterns of the genes involved in flavonoid, caffeine, and theanine biosynthesis were characterized, revealing the dynamic nature of their regulation during plant growth and development. The possible transcription factor regulation network for the biosynthesis of flavonoid, caffeine, and theanine was built, encompassing 339 transcription factors from 35 families, namely bHLH, MYB, and NAC, among others. Remarkably, not only did the data reveal the possible critical check points in the flavonoid, caffeine, and theanine biosynthesis pathways, but also implicated the key transcription factors and related mechanisms in the regulation of secondary metabolite biosynthesis. Our study generated gene expression profiles for different tissues at different developmental stages in tea plants. The gene network responsible for the regulation of the secondary metabolic pathways was analyzed. Our work elucidated the possible cross talk in gene regulation between the secondary metabolite biosynthetic pathways in C. sinensis. The results increase our understanding of how secondary metabolic pathways are regulated during plant development and growth cycles, and help pave the way for genetic selection and engineering for germplasm improvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
India 1 <1%
Slovakia 1 <1%
Sri Lanka 1 <1%
Spain 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 25%
Researcher 21 19%
Student > Master 15 14%
Student > Doctoral Student 7 6%
Student > Postgraduate 6 5%
Other 10 9%
Unknown 24 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 45%
Biochemistry, Genetics and Molecular Biology 17 15%
Environmental Science 2 2%
Immunology and Microbiology 2 2%
Chemistry 2 2%
Other 5 5%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 February 2016.
All research outputs
#13,209,028
of 22,818,766 outputs
Outputs from BMC Genomics
#4,764
of 10,653 outputs
Outputs of similar age
#119,811
of 263,426 outputs
Outputs of similar age from BMC Genomics
#121
of 242 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.