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Mendelizing all Components of a Pyramid of Three Yield QTL in Tomato

Overview of attention for article published in Frontiers in Plant Science, December 2015
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Title
Mendelizing all Components of a Pyramid of Three Yield QTL in Tomato
Published in
Frontiers in Plant Science, December 2015
DOI 10.3389/fpls.2015.01096
Pubmed ID
Authors

Amit Gur, Dani Zamir

Abstract

Molecular markers allowed breeders to mendelize quantitative trait loci (QTL) providing another demonstration that quantitative traits are governed by the same principles as single qualitative genes. This research extends the QTL analysis to two and three QTL and tests our ability to mendelize an oligogenic trait. In tomato, agricultural yield is determined by the weight of the fruits harvested per unit area and the total soluble solids (% Brix)-sugars and acids. The current study explores the segregation of multiple independent yield-related QTL that were identified and mapped using introgression lines (IL) of Solanum pennellii in cultivated processing tomato (S. lycopersicum). We screened 45 different double and triple IL-QTL combinations for agricultural yield, to identify QTL pyramids that behaved in an additive manner and were suitable substrate for mendelizing an oligogenic trait. A pyramid of three independent QTL that significantly improved Brix(∗)Yield (BXY - the soluble solids output per unit area) compared to M82 was selected. In the progenies of the tri-hybrid we bred using markers a nearly isogenic 'immortalized F2.' While the common mode of QTL-QTL interactions across the 45 IL-QTLs combinations was less than additive, the three QTLs in the selected triple-stack performed in an additive manner which made it an exceptional material for breeding. This study demonstrates that using the phenotypic effect of all 27 possible QTL-alleles combinations it is possible to make reliable predictions about the genotypes that will maximize the yield.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Researcher 8 19%
Student > Master 6 14%
Student > Doctoral Student 4 9%
Student > Bachelor 2 5%
Other 3 7%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 70%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 1 2%
Unknown 9 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 15 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Frontiers in Plant Science
#16,044
of 20,148 outputs
Outputs of similar age
#327,472
of 390,235 outputs
Outputs of similar age from Frontiers in Plant Science
#302
of 396 outputs
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We're also able to compare this research output to 396 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.