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Fine-mapping and cross-validation of QTLs linked to fatty acid composition in multiple independent interspecific crosses of oil palm

Overview of attention for article published in BMC Genomics, April 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Fine-mapping and cross-validation of QTLs linked to fatty acid composition in multiple independent interspecific crosses of oil palm
Published in
BMC Genomics, April 2016
DOI 10.1186/s12864-016-2607-4
Pubmed ID
Authors

Ngoot-Chin Ting, Zulkifli Yaakub, Katialisa Kamaruddin, Sean Mayes, Festo Massawe, Ravigadevi Sambanthamurthi, Johannes Jansen, Leslie Eng Ti Low, Maizura Ithnin, Ahmad Kushairi, Xaviar Arulandoo, Rozana Rosli, Kuang-Lim Chan, Nadzirah Amiruddin, Kandha Sritharan, Chin Ching Lim, Rajanaidu Nookiah, Mohd Din Amiruddin, Rajinder Singh

Abstract

The commercial oil palm (Elaeis guineensis Jacq.) produces a mesocarp oil (commonly called 'palm oil') with approximately equal proportions of saturated and unsaturated fatty acids (FAs). An increase in unsaturated FAs content or iodine value (IV) as a measure of the degree of unsaturation would help to open up new markets for the oil. One way to manipulate the fatty acid composition (FAC) in palm oil is through introgression of favourable alleles from the American oil palm, E. oleifera, which has a more unsaturated oil. In this study, a segregating E. oleifera x E. guineensis (OxG) hybrid population for FAC is used to identify quantitative trait loci (QTLs) linked to IV and various FAs. QTL analysis revealed 10 major and two putative QTLs for IV and six FAs, C14:0, C16:0, C16:1, C18:0, C18:1 and C18:2 distributed across six linkage groups (LGs), OT1, T2, T3, OT4, OT6 and T9. The major QTLs for IV and C16:0 on LGOT1 explained 60.0 - 69.0 % of the phenotypic trait variation and were validated in two independent BC2 populations. The genomic interval contains several key structural genes in the FA and oil biosynthesis pathways such as PATE/FATB, HIBCH, BASS2, LACS4 and DGAT1 and also a relevant transcription factor (TF), WRI1. The literature suggests that some of these genes can exhibit pleiotropic effects in the regulatory networks of these traits. Using the whole genome sequence data, markers tightly linked to the candidate genes were also developed. Clustering trait values according to the allelic forms of these candidate markers revealed significant differences in the IV and FAs of the palms in the mapping and validation crosses. The candidate gene approach described and exploited here is useful to identify the potential causal genes linked to FAC and can be adopted for marker-assisted selection (MAS) in oil palm.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Nigeria 1 1%
Switzerland 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 30%
Student > Ph. D. Student 13 18%
Student > Master 9 12%
Student > Bachelor 4 5%
Professor 4 5%
Other 8 11%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 57%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 3 4%
Chemistry 3 4%
Computer Science 1 1%
Other 2 3%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 March 2017.
All research outputs
#12,952,966
of 22,862,742 outputs
Outputs from BMC Genomics
#4,570
of 10,663 outputs
Outputs of similar age
#138,091
of 300,620 outputs
Outputs of similar age from BMC Genomics
#105
of 247 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,663 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 300,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.