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A legume biofortification quandary: variability and genetic control of seed coat micronutrient accumulation in common beans

Overview of attention for article published in Frontiers in Plant Science, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
A legume biofortification quandary: variability and genetic control of seed coat micronutrient accumulation in common beans
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00275
Pubmed ID
Authors

Matthew W. Blair, Paulo Izquierdo, Carolina Astudillo, Michael A. Grusak

Abstract

Common beans (Phaseolus vulgaris L.), like many legumes, are rich in iron, zinc, and certain other microelements that are generally found to be in low concentrations in cereals, other seed crops, and root or tubers and therefore are good candidates for biofortification. But a quandary exists in common bean biofortification: namely that the distribution of iron has been found to be variable between the principal parts of seed; namely the cotyledonary tissue, embryo axis and seed coat. The seed coat represents ten or more percent of the seed weight and must be considered specifically as it accumulates much of the anti-nutrients such as tannins that effect mineral bioavailability. Meanwhile the cotyledons accumulate starch and phosphorus in the form of phytates. The goal of this study was to evaluate a population of progeny derived from an advanced backcross of a wild bean and a cultivated Andean bean for seed coat versus cotyledonary minerals to identify variability and predict inheritance of the minerals. We used wild common beans because of their higher seed mineral concentration compared to cultivars and greater proportion of seed coat to total seed weight. Results showed the most important gene for seed coat iron was on linkage group B04 but also identified other QTL for seed coat and cotyledonary iron and zinc on other linkage groups, including B11 which has been important in studies of whole seed. The importance of these results in terms of physiology, candidate genes and plant breeding are discussed.

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The data shown below were collected from the profiles of 2 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Canada 1 <1%
Slovenia 1 <1%
Nigeria 1 <1%
Spain 1 <1%
Unknown 112 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 25%
Student > Ph. D. Student 19 16%
Researcher 18 15%
Student > Doctoral Student 6 5%
Student > Bachelor 6 5%
Other 19 16%
Unknown 20 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 64%
Biochemistry, Genetics and Molecular Biology 7 6%
Chemistry 3 3%
Unspecified 2 2%
Earth and Planetary Sciences 2 2%
Other 4 3%
Unknown 24 21%
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 24 September 2016.
All research outputs
#17,691,546
of 22,715,151 outputs
Outputs from Frontiers in Plant Science
#11,859
of 19,950 outputs
Outputs of similar age
#210,191
of 280,748 outputs
Outputs of similar age from Frontiers in Plant Science
#172
of 517 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,950 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% 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 280,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.