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Genome-Wide Identification and Analysis of Genes, Conserved between japonica and indica Rice Cultivars, that Respond to Low-Temperature Stress at the Vegetative Growth Stage

Overview of attention for article published in Frontiers in Plant Science, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Genome-Wide Identification and Analysis of Genes, Conserved between japonica and indica Rice Cultivars, that Respond to Low-Temperature Stress at the Vegetative Growth Stage
Published in
Frontiers in Plant Science, June 2017
DOI 10.3389/fpls.2017.01120
Pubmed ID
Authors

Manu Kumar, Yun-Shil Gho, Ki-Hong Jung, Seong-Ryong Kim

Abstract

Cold stress is very detrimental to crop production. However, only a few genes in rice have been identified with known functions related to cold tolerance. To meet this agronomic challenge more effectively, researchers must take global approaches to select useful candidate genes and find the major regulatory factors. We used five Gene expression omnibus series data series of Affymetrix array data, produced with cold stress-treated samples from the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/), and identified 502 cold-inducible genes common to both japonica and indica rice cultivars. From them, we confirmed that the expression of two randomly chosen genes was increased by cold stress in planta. In addition, overexpression of OsWRKY71 enhanced cold tolerance in 'Dongjin,' the tested japonica cultivar. Comparisons between japonica and indica rice, based on calculations of plant survival rates and chlorophyll fluorescence, confirmed that the japonica rice was more cold-tolerant. Gene Ontology enrichment analysis indicate that the 'L-phenylalanine catabolic process,' within the Biological Process category, was the most highly overrepresented under cold-stress conditions, implying its significance in that response in rice. MapMan analysis classified 'Major Metabolic' processes and 'Regulatory Gene Modules' as two other major determinants of the cold-stress response and suggested several key cis-regulatory elements. Based on these results, we proposed a model that includes a pathway for cold stress-responsive signaling. Results from our functional analysis of the main signal transduction and transcription regulation factors identified in that pathway will provide insight into novel regulatory metabolism(s), as well as a foundation by which we can develop crop plants with enhanced cold tolerance.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 33%
Researcher 9 17%
Student > Doctoral Student 4 8%
Student > Master 3 6%
Lecturer 2 4%
Other 5 10%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Biochemistry, Genetics and Molecular Biology 9 17%
Environmental Science 4 8%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Other 1 2%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 August 2017.
All research outputs
#4,813,482
of 23,605,418 outputs
Outputs from Frontiers in Plant Science
#2,614
of 21,697 outputs
Outputs of similar age
#82,200
of 315,355 outputs
Outputs of similar age from Frontiers in Plant Science
#75
of 552 outputs
Altmetric has tracked 23,605,418 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,697 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 315,355 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 73% of its contemporaries.
We're also able to compare this research output to 552 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.