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Iron partitioning at an early growth stage impacts iron deficiency responses in soybean plants (Glycine max L.)

Overview of attention for article published in Frontiers in Plant Science, May 2015
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Title
Iron partitioning at an early growth stage impacts iron deficiency responses in soybean plants (Glycine max L.)
Published in
Frontiers in Plant Science, May 2015
DOI 10.3389/fpls.2015.00325
Pubmed ID
Authors

Carla S. Santos, Mariana Roriz, Susana M. P. Carvalho, Marta W. Vasconcelos

Abstract

Iron (Fe) deficiency chlorosis (IDC) leads to leaf yellowing, stunted growth and drastic yield losses. Plants have been differentiated into 'Fe-efficient' (EF) if they resist to IDC and 'Fe-inefficient' (IN) if they do not, but the reasons for this contrasting efficiency remain elusive. We grew EF and IN soybean plants under Fe deficient and Fe sufficient conditions and evaluated if gene expression and the ability to partition Fe could be related to IDC efficiency. At an early growth stage, Fe-efficiency was associated with higher chlorophyll content, but Fe reductase activity was low under Fe-deficiency for EF and IN plants. The removal of the unifoliate leaves alleviated IDC symptoms, increased shoot:root ratio, and trifoliate leaf area. EF plants were able to translocate Fe to the aboveground plant organs, whereas the IN plants accumulated more Fe in the roots. FRO2-like gene expression was low in the roots; IRT1-like expression was higher in the shoots; and ferritin was highly expressed in the roots of the IN plants. The efficiency trait is linked to Fe partitioning and the up-regulation of Fe-storage related genes could interfere with this key process. This work provides new insights into the importance of mineral partitioning among different plant organs at an early growth stage.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
France 1 2%
Korea, Republic of 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 10 20%
Professor 4 8%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 54%
Biochemistry, Genetics and Molecular Biology 5 10%
Environmental Science 3 6%
Chemistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 13 26%
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 02 June 2015.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Frontiers in Plant Science
#16,524
of 24,593 outputs
Outputs of similar age
#205,983
of 279,123 outputs
Outputs of similar age from Frontiers in Plant Science
#188
of 265 outputs
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We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.