↓ Skip to main content

Characterization and functional analysis of GhWRKY42, a group IId WRKY gene, in upland cotton (Gossypium hirsutum L.)

Overview of attention for article published in BMC Genomic Data, July 2018
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Characterization and functional analysis of GhWRKY42, a group IId WRKY gene, in upland cotton (Gossypium hirsutum L.)
Published in
BMC Genomic Data, July 2018
DOI 10.1186/s12863-018-0653-4
Pubmed ID
Authors

Lijiao Gu, Hengling Wei, Hantao Wang, Junji Su, Shuxun Yu

Abstract

WRKY transcription factors (TFs) participate in various physiological processes of plants. Although WRKY genes have been well studied in model plants, knowledge of the functional roles of these genes is still extremely limited in cotton. In this study, a group IId WRKY gene from cotton, GhWRKY42, was isolated and characterized. Our data showed that GhWRKY42 localized to the nucleus. A transactivation assay in yeast demonstrated that GhWRKY42 was not a transcriptional activator. A β-glucuronidase (GUS) activity assay revealed that the promoter of GhWRKY42 showed fragment deletion activity in Nicotiana tabacum and was mainly expressed in the roots, stems and leaves of ProGhWRKY42::GUS transgenic Arabidopsis plants. Quantitative real-time PCR (qRT-PCR) analysis indicated that GhWRKY42 was up-regulated during leaf senescence and was induced after exposure to abiotic stresses. Constitutive expression of GhWRKY42 in Arabidopsis led to a premature aging phenotype, which was correlated with an increased number of senescent leaves, reduced chlorophyll content and elevated expression of senescence-associated genes (SAGs). In addition, virus-induced gene silencing (VIGS) was used to silence the endogenous GhWRKY42 gene in cotton, and this silencing reduced plant height. Our findings indicate that GhWRKY42 is involved in abiotic stress responses, premature leaf senescence and stem development. This work establishes a solid foundation for further functional analysis of the GhWRKY42 gene in cotton.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Bachelor 2 11%
Unspecified 1 6%
Lecturer 1 6%
Other 2 11%
Unknown 8 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Engineering 2 11%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 6%
Unknown 8 44%
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 01 August 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#264,683
of 340,947 outputs
Outputs of similar age from BMC Genomic Data
#17
of 22 outputs
Altmetric has tracked 25,385,509 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 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% 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 340,947 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.