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Identification of differentially expressed genes in sunflower (Helianthus annuus) leaves and roots under drought stress by RNA sequencing

Overview of attention for article published in Botanical Studies, October 2017
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Title
Identification of differentially expressed genes in sunflower (Helianthus annuus) leaves and roots under drought stress by RNA sequencing
Published in
Botanical Studies, October 2017
DOI 10.1186/s40529-017-0197-3
Pubmed ID
Authors

Chunbo Liang, Wenjun Wang, Jing Wang, Jun Ma, Cen Li, Fei Zhou, Shuquan Zhang, Ying Yu, Liguo Zhang, Weizhong Li, Xutang Huang

Abstract

Sunflower is recognized as one of the most important oil plants with strong tolerance to drought in the world. In order to study the response mechanisms of sunflower plants to drought stress, gene expression profiling using high throughput sequencing was performed for seedling leaves and roots (sunflower inbred line R5) after 24 h of drought stress (15% PEG 6000). The transcriptome assembled using sequences of 12 samples was used as a reference. 805 and 198 genes were identified that were differentially expressed in leaves and roots, respectively. Another 71 genes were differentially expressed in both organs, in which more genes were up-regulated than down-regulated. In agreement with results obtained for other crops or from previous sunflower studies, we also observed that nine genes may be associated with the response of sunflower to drought. The results of this study may provide new information regarding the sunflower drought response, as well as add to the number of known genes associated with drought tolerance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Bachelor 5 14%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 3 8%
Student > Master 2 6%
Other 1 3%
Unknown 10 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 53%
Biochemistry, Genetics and Molecular Biology 3 8%
Psychology 1 3%
Chemistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 11 31%
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 28 October 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Botanical Studies
#120
of 188 outputs
Outputs of similar age
#262,282
of 338,212 outputs
Outputs of similar age from Botanical Studies
#7
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 338,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.