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Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response

Overview of attention for article published in BMC Plant Biology, August 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 (72nd percentile)

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10 tweeters
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1 Facebook page

Citations

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17 Dimensions

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69 Mendeley
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Title
Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
Published in
BMC Plant Biology, August 2017
DOI 10.1186/s12870-017-1077-4
Pubmed ID
Authors

Shisong Ma, Zehong Ding, Pinghua Li

Abstract

The advent of big data in biology offers opportunities while poses challenges to derive biological insights. For maize, a large amount of publicly available transcriptome datasets have been generated but a comprehensive analysis is lacking. We constructed a maize gene co-expression network based on the graphical Gaussian model, using massive RNA-seq data. The network, containing 20,269 genes, assembles into 964 gene modules that function in a variety of plant processes, such as cell organization, the development of inflorescences, ligules and kernels, the uptake and utilization of nutrients (e.g. nitrogen and phosphate), the metabolism of benzoxazionids, oxylipins, flavonoids, and wax, and the response to stresses. Among them, the inflorescences development module is enriched with domestication genes (like ra1, ba1, gt1, tb1, tga1) that control plant architecture and kernel structure, while multiple other modules relate to diverse agronomic traits. Contained within these modules are transcription factors acting as known or potential expression regulators for the genes within the same modules, suggesting them as candidate regulators for related biological processes. A comparison with an established Arabidopsis network revealed conserved gene association patterns for specific modules involved in cell organization, nutrients uptake & utilization, and metabolism. The analysis also identified significant divergences between the two species for modules that orchestrate developmental pathways. This network sheds light on how gene modules are organized between different species in the context of evolutionary divergence and highlights modules whose structure and gene content can provide important resources for maize gene functional studies with application potential.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 12 17%
Researcher 11 16%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 57%
Biochemistry, Genetics and Molecular Biology 15 22%
Mathematics 1 1%
Nursing and Health Professions 1 1%
Psychology 1 1%
Other 0 0%
Unknown 12 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 February 2021.
All research outputs
#4,882,735
of 20,374,295 outputs
Outputs from BMC Plant Biology
#359
of 2,869 outputs
Outputs of similar age
#77,521
of 286,700 outputs
Outputs of similar age from BMC Plant Biology
#1
of 1 outputs
Altmetric has tracked 20,374,295 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,869 research outputs from this source. They receive a mean Attention Score of 3.1. 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 286,700 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 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them