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Daytime soybean transcriptome fluctuations during water deficit stress

Overview of attention for article published in BMC Genomics, July 2015
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Title
Daytime soybean transcriptome fluctuations during water deficit stress
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1731-x
Pubmed ID
Authors

Fabiana Aparecida Rodrigues, Renata Fuganti-Pagliarini, Juliana Marcolino-Gomes, Thiago Jonas Nakayama, Hugo Bruno Correa Molinari, Francisco Pereira Lobo, Frank G Harmon, Alexandre Lima Nepomuceno

Abstract

Since drought can seriously affect plant growth and development and little is known about how the oscillations of gene expression during the drought stress-acclimation response in soybean is affected, we applied Illumina technology to sequence 36 cDNA libraries synthesized from control and drought-stressed soybean plants to verify the dynamic changes in gene expression during a 24-h time course. Cycling variables were measured from the expression data to determine the putative circadian rhythm regulation of gene expression. We identified 4866 genes differentially expressed in soybean plants in response to water deficit. Of these genes, 3715 were differentially expressed during the light period, from which approximately 9.55 % were observed in both light and darkness. We found 887 genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes, 35.52 % exhibited expression oscillations in a 24 h period. This number increased to 39.23 % when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Such differences in plants under stress were primarily observed in ZT0 (early morning) to ZT8 (late day) and also from ZT4 to ZT12. Stress-related pathways were triggered in response to water deficit primarily during midday, when more genes were up-regulated compared to early morning. Additionally, genes known to be involved in secondary metabolism and hormone signaling were also expressed in the dark period. Gene expression networks can be dynamically shaped to acclimate plant metabolism under environmental stressful conditions. We have identified putative cycling genes that are expressed in soybean leaves under normal developmental conditions and genes whose expression oscillates under conditions of water deficit. These results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants.

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The data shown below were collected from the profiles of 3 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Chile 1 1%
Italy 1 1%
United States 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 29%
Student > Master 12 15%
Researcher 10 13%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 12 15%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 63%
Biochemistry, Genetics and Molecular Biology 8 10%
Computer Science 3 4%
Social Sciences 2 3%
Psychology 1 1%
Other 3 4%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 July 2015.
All research outputs
#13,207,948
of 22,816,807 outputs
Outputs from BMC Genomics
#4,764
of 10,653 outputs
Outputs of similar age
#119,643
of 262,285 outputs
Outputs of similar age from BMC Genomics
#120
of 255 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 262,285 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 53% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.