↓ Skip to main content
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
119 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Unmasking Novel Loci for Internal Phosphorus Utilization Efficiency in Rice Germplasm through Genome-Wide Association Analysis
Published in
PLOS ONE, April 2015
DOI 10.1371/journal.pone.0124215
Pubmed ID
Authors
Abstract

Depletion of non-renewable rock phosphate reserves and phosphorus (P) fertilizer price increases has renewed interest in breeding P-efficient varieties. Internal P utilization efficiency (PUE) is of prime interest because there has been no progress to date in breeding for high PUE. We characterized the genotypic variation for PUE present within the rice gene pool by using a hydroponic system that assured equal plant P uptake, followed by mapping of loci controlling PUE via Genome-Wide Association Studies (GWAS). Loci associated with PUE were mapped on chromosomes 1, 4, 11 and 12. The highest PUE was associated with a minor indica-specific haplotype on chromosome 1 and a rare aus-specific haplotype on chromosome 11. Comparative variant and expression analysis for genes contained within the chromosome 1 haplotype identified high priority candidate genes. Differences in coding regions and expression patterns between genotypes of contrasting haplotypes, suggested functional alterations for two predicted nucleic acid-interacting proteins that are likely causative for the observed differences in PUE. The loci reported here are the first identified for PUE in any crop that is not confounded by differential P uptake among genotypes. Importantly, modern rice varieties lacked haplotypes associated with superior PUE, and would thus benefit from targeted introgressions of these loci from traditional donors to improve plant growth in phosphorus-limited cropping systems.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
France 2 2%
United States 1 <1%
India 1 <1%
Chile 1 <1%
Unknown 114 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 28 24%
Student > Master 20 17%
Student > Ph. D. Student 17 14%
Student > Doctoral Student 5 4%
Lecturer 4 3%
Other 12 10%
Unknown 33 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 64 54%
Biochemistry, Genetics and Molecular Biology 12 10%
Engineering 2 2%
Environmental Science 1 <1%
Physics and Astronomy 1 <1%
Other 3 3%
Unknown 36 30%
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 03 February 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from PLOS ONE
#173,980
of 194,886 outputs
Outputs of similar age
#222,878
of 264,463 outputs
Outputs of similar age from PLOS ONE
#6,366
of 7,422 outputs
Altmetric has tracked 22,842,950 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 194,886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% 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 264,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7,422 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.