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Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola

Overview of attention for article published in Frontiers in Plant Science, January 2017
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Title
Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola
Published in
Frontiers in Plant Science, January 2017
DOI 10.3389/fpls.2016.02007
Pubmed ID
Authors

Huafang Wan, Yixin Cui, Yijuan Ding, Jiaqin Mei, Hongli Dong, Wenxin Zhang, Shiqi Wu, Ying Liang, Chunyu Zhang, Jiana Li, Qing Xiong, Wei Qian, Wan, Huafang, Cui, Yixin, Ding, Yijuan, Mei, Jiaqin, Dong, Hongli, Zhang, Wenxin, Wu, Shiqi, Liang, Ying, Zhang, Chunyu, Li, Jiana, Xiong, Qing, Qian, Wei

Abstract

Understanding the regulation of lipid metabolism is vital for genetic engineering of canola (Brassica napus L.) to increase oil yield or modify oil composition. We conducted time-series analyses of transcriptomes and proteomes to uncover the molecular networks associated with oil accumulation and dynamic changes in these networks in canola. The expression levels of genes and proteins were measured at 2, 4, 6, and 8 weeks after pollination (WAP). Our results show that the biosynthesis of fatty acids is a dominant cellular process from 2 to 6 WAP, while the degradation mainly happens after 6 WAP. We found that genes in almost every node of fatty acid synthesis pathway were significantly up-regulated during oil accumulation. Moreover, significant expression changes of two genes, acetyl-CoA carboxylase and acyl-ACP desaturase, were detected on both transcriptomic and proteomic levels. We confirmed the temporal expression patterns revealed by the transcriptomic analyses using quantitative real-time PCR experiments. The gene set association analysis show that the biosynthesis of fatty acids and unsaturated fatty acids are the most significant biological processes from 2-4 WAP and 4-6 WAP, respectively, which is consistent with the results of time-series analyses. These results not only provide insight into the mechanisms underlying lipid metabolism, but also reveal novel candidate genes that are worth further investigation for their values in the genetic engineering of canola.

X Demographics

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 7 17%
Researcher 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Biochemistry, Genetics and Molecular Biology 8 20%
Engineering 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Other 5 12%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2017.
All research outputs
#13,839,563
of 22,947,506 outputs
Outputs from Frontiers in Plant Science
#7,176
of 20,373 outputs
Outputs of similar age
#219,023
of 421,747 outputs
Outputs of similar age from Frontiers in Plant Science
#187
of 529 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,373 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 63% 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 421,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.