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Evidence-based gene models for structural and functional annotations of the oil palm genome

Overview of attention for article published in Biology Direct, September 2017
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Title
Evidence-based gene models for structural and functional annotations of the oil palm genome
Published in
Biology Direct, September 2017
DOI 10.1186/s13062-017-0191-4
Pubmed ID
Authors

Kuang-Lim Chan, Tatiana V. Tatarinova, Rozana Rosli, Nadzirah Amiruddin, Norazah Azizi, Mohd Amin Ab Halim, Nik Shazana Nik Mohd Sanusi, Nagappan Jayanthi, Petr Ponomarenko, Martin Triska, Victor Solovyev, Mohd Firdaus-Raih, Ravigadevi Sambanthamurthi, Denis Murphy, Eng-Ti Leslie Low

Abstract

Oil palm is an important source of edible oil. The importance of the crop, as well as its long breeding cycle (10-12 years) has led to the sequencing of its genome in 2013 to pave the way for genomics-guided breeding. Nevertheless, the first set of gene predictions, although useful, had many fragmented genes. Classification and characterization of genes associated with traits of interest, such as those for fatty acid biosynthesis and disease resistance, were also limited. Lipid-, especially fatty acid (FA)-related genes are of particular interest for the oil palm as they specify oil yields and quality. This paper presents the characterization of the oil palm genome using different gene prediction methods and comparative genomics analysis, identification of FA biosynthesis and disease resistance genes, and the development of an annotation database and bioinformatics tools. Using two independent gene-prediction pipelines, Fgenesh++ and Seqping, 26,059 oil palm genes with transcriptome and RefSeq support were identified from the oil palm genome. These coding regions of the genome have a characteristic broad distribution of GC3 (fraction of cytosine and guanine in the third position of a codon) with over half the GC3-rich genes (GC3 ≥ 0.75286) being intronless. In comparison, only one-seventh of the oil palm genes identified are intronless. Using comparative genomics analysis, characterization of conserved domains and active sites, and expression analysis, 42 key genes involved in FA biosynthesis in oil palm were identified. For three of them, namely EgFABF, EgFABH and EgFAD3, segmental duplication events were detected. Our analysis also identified 210 candidate resistance genes in six classes, grouped by their protein domain structures. We present an accurate and comprehensive annotation of the oil palm genome, focusing on analysis of important categories of genes (GC3-rich and intronless), as well as those associated with important functions, such as FA biosynthesis and disease resistance. The study demonstrated the advantages of having an integrated approach to gene prediction and developed a computational framework for combining multiple genome annotations. These results, available in the oil palm annotation database ( http://palmxplore.mpob.gov.my ), will provide important resources for studies on the genomes of oil palm and related crops. This article was reviewed by Alexander Kel, Igor Rogozin, and Vladimir A. Kuznetsov.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 21%
Student > Bachelor 11 13%
Student > Ph. D. Student 10 12%
Student > Master 9 11%
Professor > Associate Professor 6 7%
Other 12 15%
Unknown 17 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 34%
Biochemistry, Genetics and Molecular Biology 19 23%
Computer Science 7 9%
Environmental Science 2 2%
Engineering 2 2%
Other 5 6%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 October 2017.
All research outputs
#14,924,102
of 22,955,959 outputs
Outputs from Biology Direct
#356
of 487 outputs
Outputs of similar age
#187,082
of 315,874 outputs
Outputs of similar age from Biology Direct
#6
of 8 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 25th percentile – i.e., 25% 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 315,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.