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Abiotic stress and genome dynamics: specific genes and transposable elements response to iron excess in rice

Overview of attention for article published in Rice, February 2015
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Title
Abiotic stress and genome dynamics: specific genes and transposable elements response to iron excess in rice
Published in
Rice, February 2015
DOI 10.1186/s12284-015-0045-6
Pubmed ID
Authors

Taciane Finatto, Antonio Costa de Oliveira, Cristian Chaparro, Luciano C da Maia, Daniel R Farias, Leomar G Woyann, Claudete C Mistura, Adriana P Soares-Bresolin, Christel Llauro, Olivier Panaud, Nathalie Picault

Abstract

Iron toxicity is a root related abiotic stress, occurring frequently in flooded soils. It can affect the yield of rice in lowland production systems. This toxicity is associated with high concentrations of reduced iron (Fe(2+)) in the soil solution. Although the first interface of the element is in the roots, the consequences of an excessive uptake can be observed in several rice tissues. In an original attempt to find both genes and transposable elements involved in the response to an iron toxicity stress, we used a microarray approach to study the transcriptional responses of rice leaves of cv. Nipponbare (Oryza sativa L. ssp. japonica) to iron excess in nutrient solution. A large number of genes were significantly up- or down-regulated in leaves under the treatment. We analyzed the gene ontology and metabolic pathways of genes involved in the response to this stress and the cis-regulatory elements (CREs) present in the promoter region of up-regulated genes. The majority of genes act in the pathways of lipid metabolic process, carbohydrate metabolism, biosynthesis of secondary metabolites and plant hormones. We also found genes involved in iron acquisition and mobilization, transport of cations and regulatory mechanisms for iron responses, and in oxidative stress and reactive oxygen species detoxification. Promoter regions of 27% of genes up-regulated present at least one significant occurrence of an ABA-responsive CRE. Furthermore, and for the first time, we were able to show that iron stress triggers the up-regulation of many LTR-retrotransposons. We have established a complete inventory of transposable elements transcriptionally activated under iron excess and the CREs which are present in their LTRs. The short-term response of Nipponbare seedlings to iron excess, includes activation of genes involved in iron homeostasis, in particular transporters, transcription factors and ROS detoxification in the leaves, but also many transposable elements. Our data led to the identification of CREs which are associated with both genes and LTR-retrotransposons up-regulated under iron excess. Our results strengthen the idea that LTR-retrotransposons participate in the transcriptional response to stress and could thus confer an adaptive advantage for the plant.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Germany 1 <1%
Indonesia 1 <1%
Brazil 1 <1%
Canada 1 <1%
Mexico 1 <1%
China 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 21%
Student > Ph. D. Student 28 19%
Student > Master 23 15%
Student > Bachelor 11 7%
Student > Doctoral Student 11 7%
Other 12 8%
Unknown 34 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 57%
Biochemistry, Genetics and Molecular Biology 16 11%
Social Sciences 3 2%
Environmental Science 2 1%
Engineering 2 1%
Other 4 3%
Unknown 38 25%
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 07 April 2015.
All research outputs
#15,333,503
of 22,805,349 outputs
Outputs from Rice
#174
of 385 outputs
Outputs of similar age
#151,265
of 255,470 outputs
Outputs of similar age from Rice
#3
of 7 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 385 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% 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 255,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.