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Identification of QTL markers contributing to plant growth, oil yield and fatty acid composition in the oilseed crop Jatropha curcas L.

Overview of attention for article published in Biotechnology for Biofuels, September 2015
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Title
Identification of QTL markers contributing to plant growth, oil yield and fatty acid composition in the oilseed crop Jatropha curcas L.
Published in
Biotechnology for Biofuels, September 2015
DOI 10.1186/s13068-015-0326-8
Pubmed ID
Authors

Andrew J. King, Luis R. Montes, Jasper G. Clarke, Jose Itzep, Cesar A. A. Perez, Raymond E. E. Jongschaap, Richard G. F. Visser, Eibertus N. van Loo, Ian A. Graham

Abstract

Economical cultivation of the oilseed crop Jatropha curcas is currently hampered in part due to the non-availability of purpose-bred cultivars. Although genetic maps and genome sequence data exist for this crop, marker-assisted breeding has not yet been implemented due to a lack of available marker-trait association studies. To identify the location of beneficial alleles for use in plant breeding, we performed quantitative trait loci (QTL) analysis for a number of agronomic traits in two biparental mapping populations. The mapping populations segregated for a range of traits contributing to oil yield, including plant height, stem diameter, number of branches, total seeds per plant, 100-seed weight, seed oil content and fatty acid composition. QTL were detected for each of these traits and often over multiple years, with some variation in the phenotypic variance explained between different years. In one of the mapping populations where we recorded vegetative traits, we also observed co-localization of QTL for stem diameter and plant height, which were both overdominant, suggesting a possible locus conferring a pleotropic heterosis effect. By using a candidate gene approach and integrating physical mapping data from a recent high-quality release of the Jatropha genome, we were also able to position a large number of genes involved in the biosynthesis of storage lipids onto the genetic map. By comparing the position of these genes with QTL, we were able to detect a number of genes potentially underlying seed traits, including phosphatidate phosphatase genes. The QTL we have identified will serve as a useful starting point in the creation of new varieties of J. curcas with improved agronomic performance for seed and oil productivity. Our ability to physically map a significant proportion of the Jatropha genome sequence onto our genetic map could also prove useful in identifying the genes underlying particular traits, allowing more controlled and precise introgression of desirable alleles and permitting the pyramiding or stacking of multiple QTL.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 7 21%
Student > Master 6 18%
Student > Bachelor 2 6%
Lecturer 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 61%
Biochemistry, Genetics and Molecular Biology 4 12%
Business, Management and Accounting 1 3%
Environmental Science 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 5 15%

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 28 September 2015.
All research outputs
#11,926,230
of 13,450,780 outputs
Outputs from Biotechnology for Biofuels
#866
of 1,028 outputs
Outputs of similar age
#210,023
of 254,494 outputs
Outputs of similar age from Biotechnology for Biofuels
#8
of 11 outputs
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