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The carotenoid biosynthetic and catabolic genes in wheat and their association with yellow pigments

Overview of attention for article published in BMC Genomics, January 2017
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Title
The carotenoid biosynthetic and catabolic genes in wheat and their association with yellow pigments
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3395-6
Pubmed ID
Authors

Pasqualina Colasuonno, Maria Luisa Lozito, Ilaria Marcotuli, Domenica Nigro, Angelica Giancaspro, Giacomo Mangini, Pasquale De Vita, Anna Maria Mastrangelo, Nicola Pecchioni, Kelly Houston, Rosanna Simeone, Agata Gadaleta, Antonio Blanco

Abstract

In plants carotenoids play an important role in the photosynthetic process and photo-oxidative protection, and are the substrate for the synthesis of abscisic acid and strigolactones. In addition to their protective role as antioxidants and precursors of vitamin A, in wheat carotenoids are important as they influence the colour (whiteness vs. yellowness) of the grain. Understanding the genetic basis of grain yellow pigments, and identifying associated markers provide the basis for improving wheat quality by molecular breeding. Twenty-four candidate genes involved in the biosynthesis and catabolism of carotenoid compounds have been identified in wheat by comparative genomics. Single nucleotide polymorphisms (SNPs) found in the coding sequences of 19 candidate genes allowed their chromosomal location and accurate map position on two reference consensus maps to be determined. The genome-wide association study based on genotyping a tetraploid wheat collection with 81,587 gene-associated SNPs validated quantitative trait loci (QTLs) previously detected in biparental populations and discovered new QTLs for grain colour-related traits. Ten carotenoid genes mapped in chromosome regions underlying pigment content QTLs indicating possible functional relationships between candidate genes and the trait. The availability of linked, candidate gene-based markers can facilitate breeding wheat cultivars with desirable levels of carotenoids. Identifying QTLs linked to carotenoid pigmentation can contribute to understanding genes underlying carotenoid accumulation in the wheat kernels. Together these outputs can be combined to exploit the genetic variability of colour-related traits for the nutritional and commercial improvement of wheat products.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 14 18%
Student > Master 11 14%
Student > Doctoral Student 9 11%
Student > Bachelor 6 8%
Other 10 13%
Unknown 14 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 57%
Biochemistry, Genetics and Molecular Biology 12 15%
Chemical Engineering 2 3%
Arts and Humanities 1 1%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 15 19%
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 12 September 2017.
All research outputs
#20,446,373
of 23,001,641 outputs
Outputs from BMC Genomics
#9,322
of 10,692 outputs
Outputs of similar age
#356,178
of 420,418 outputs
Outputs of similar age from BMC Genomics
#172
of 223 outputs
Altmetric has tracked 23,001,641 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 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. 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 420,418 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 223 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.