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Association mapping for kernel phytosterol content in almond

Overview of attention for article published in Frontiers in Plant Science, July 2015
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Title
Association mapping for kernel phytosterol content in almond
Published in
Frontiers in Plant Science, July 2015
DOI 10.3389/fpls.2015.00530
Pubmed ID
Authors

Carolina Font i Forcada, Leonardo Velasco, Rafel Socias i Company, Ángel Fernández i Martí

Abstract

Almond kernels are a rich source of phytosterols, which are important compounds for human nutrition. The genetic control of phytosterol content has not yet been documented in almond. Association mapping (AM), also known as linkage disequilibrium (LD), was applied to an almond germplasm collection in order to provide new insight into the genetic control of total and individual sterol contents in kernels. Population structure analysis grouped the accessions into two principal groups, the Mediterranean and the non-Mediterranean. There was a strong subpopulation structure with LD decaying with increasing genetic distance, resulting in lower levels of LD between more distant markers. A significant impact of population structure on LD in the almond cultivar groups was observed. The mean r(2) -value for all intra-chromosomal loci pairs was 0.040, whereas, the r(2) for the inter-chromosomal loci pairs was 0.036. For analysis of association between the markers and phenotypic traits five models were tested. The mixed linear model (MLM) approach using co-ancestry values from population structure and kinship estimates (K model) as covariates identified a maximum of 13 significant associations. Most of the associations found appeared to map within the interval where many candidate genes involved in the sterol biosynthesis pathway are predicted in the peach genome. These findings provide a valuable foundation for quality gene identification and molecular marker assisted breeding in almond.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 7 15%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 8 17%
Unknown 9 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 53%
Biochemistry, Genetics and Molecular Biology 5 11%
Chemistry 3 6%
Business, Management and Accounting 1 2%
Psychology 1 2%
Other 1 2%
Unknown 11 23%
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 09 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from Frontiers in Plant Science
#16,009
of 20,113 outputs
Outputs of similar age
#218,899
of 262,224 outputs
Outputs of similar age from Frontiers in Plant Science
#211
of 267 outputs
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