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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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2 tweeters

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23 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Bachelor 4 17%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Student > Master 1 4%
Other 1 4%
Unknown 6 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 52%
Biochemistry, Genetics and Molecular Biology 2 9%
Psychology 1 4%
Chemistry 1 4%
Unknown 7 30%

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
#9,647,880
of 12,061,875 outputs
Outputs from Botanical Studies
#50
of 97 outputs
Outputs of similar age
#206,896
of 284,812 outputs
Outputs of similar age from Botanical Studies
#9
of 30 outputs
Altmetric has tracked 12,061,875 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.
So far Altmetric has tracked 97 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% 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 284,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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 50% of its contemporaries.