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Transcriptomic analysis of rice in response to iron deficiency and excess

Overview of attention for article published in Rice, September 2014
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Title
Transcriptomic analysis of rice in response to iron deficiency and excess
Published in
Rice, September 2014
DOI 10.1186/s12284-014-0018-1
Pubmed ID
Authors

Khurram Bashir, Kousuke Hanada, Minami Shimizu, Motoaki Seki, Hiromi Nakanishi, Naoko K Nishizawa

Abstract

Iron (Fe) is essential micronutrient for plants and its deficiency as well as toxicity is a serious agricultural problem. The mechanisms of Fe deficiency are reasonably understood, however our knowledge about plants response to excess Fe is limited. Moreover, the regulation of small open reading frames (sORFs) in response to abiotic stress has not been reported in rice. Understanding the regulation of rice transcriptome in response to Fe deficiency and excess could provide bases for developing strategies to breed plants tolerant to Fe deficiency as well as excess Fe. We used a novel rice 110 K microarray harbouring ~48,620 sORFs to understand the transcriptomic changes that occur in response to Fe deficiency and excess. In roots, 36 genes were upregulated by excess Fe, of which three were sORFs. In contrast, 1509 genes were upregulated by Fe deficiency, of which 90 (6%) were sORFs. Co-expression analysis revealed that the expression of some sORFs was positively correlated with the genes upregulated by Fe deficiency. In shoots, 50 (19%) of the genes upregulated by Fe deficiency and 1076 out of 2480 (43%) genes upregulated by excess Fe were sORFs. These results suggest that excess Fe may significantly alter metabolism, particularly in shoots. These data not only reveal the genes regulated by excess Fe, but also suggest that sORFs might play an important role in the response of plants to Fe deficiency and excess.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Brazil 1 1%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 12 14%
Student > Master 10 12%
Student > Bachelor 10 12%
Student > Doctoral Student 4 5%
Other 9 10%
Unknown 24 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 42%
Biochemistry, Genetics and Molecular Biology 14 16%
Environmental Science 3 3%
Nursing and Health Professions 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 6%
Unknown 25 29%
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 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from Rice
#303
of 385 outputs
Outputs of similar age
#203,756
of 243,479 outputs
Outputs of similar age from Rice
#9
of 10 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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