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Root Transcriptomic Analysis Revealing the Importance of Energy Metabolism to the Development of Deep Roots in Rice (Oryza sativa L.)

Overview of attention for article published in Frontiers in Plant Science, July 2017
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Title
Root Transcriptomic Analysis Revealing the Importance of Energy Metabolism to the Development of Deep Roots in Rice (Oryza sativa L.)
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01314
Pubmed ID
Authors

Qiaojun Lou, Liang Chen, Hanwei Mei, Kai Xu, Haibin Wei, Fangjun Feng, Tiemei Li, Xiaomeng Pang, Caiping Shi, Lijun Luo, Yang Zhong

Abstract

Drought is the most serious abiotic stress limiting rice production, and deep root is the key contributor to drought avoidance. However, the genetic mechanism regulating the development of deep roots is largely unknown. In this study, the transcriptomes of 74 root samples from 37 rice varieties, representing the extreme genotypes of shallow or deep rooting, were surveyed by RNA-seq. The 13,242 differentially expressed genes (DEGs) between deep rooting and shallow rooting varieties (H vs. L) were enriched in the pathway of genetic information processing and metabolism, while the 1,052 DEGs between the deep roots and shallow roots from each of the plants (D vs. S) were significantly enriched in metabolic pathways especially energy metabolism. Ten quantitative trait transcripts (QTTs) were identified and some were involved in energy metabolism. Forty-nine candidate DEGs were confirmed by qRT-PCR and microarray. Through weighted gene co-expression network analysis (WGCNA), we found 18 hub genes. Surprisingly, all these hub genes expressed higher in deep roots than in shallow roots, furthermore half of them functioned in energy metabolism. We also estimated that the ATP production in the deep roots was faster than shallow roots. Our results provided a lot of reliable candidate genes to improve deep rooting, and firstly highlight the importance of energy metabolism to the development of deep roots.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 8 16%
Researcher 6 12%
Professor > Associate Professor 3 6%
Lecturer 2 4%
Other 4 8%
Unknown 16 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 42%
Biochemistry, Genetics and Molecular Biology 9 18%
Environmental Science 1 2%
Medicine and Dentistry 1 2%
Unknown 18 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 August 2017.
All research outputs
#18,567,744
of 22,997,544 outputs
Outputs from Frontiers in Plant Science
#13,953
of 20,481 outputs
Outputs of similar age
#243,050
of 317,090 outputs
Outputs of similar age from Frontiers in Plant Science
#414
of 512 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 512 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.