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

Chan KL 1 , Tatarinova TV 2 , Rosli R 1 , Amiruddin N 1 , Azizi N 1 , Halim MAA 1 Show all authors , Sanusi NSNM 1 , Jayanthi N 1 , Ponomarenko P 3 , Triska M 4 , Solovyev V 5 , Firdaus-Raih M 6 , Sambanthamurthi R 1 , Murphy D 7 , Low EL 8

Affiliations 

  • 1 Advanced Biotechnology and Breeding Centre, Malaysian Palm Oil Board, No. 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia
  • 2 Department of Biology, University of La Verne, La Verne, California, 91750, USA
  • 3 Spatial Sciences Institute, University of Southern California, Los Angeles, CA, 90089, USA
  • 4 Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, 90089, USA
  • 5 Softberry Inc., 116 Radio Circle, Suite 400, Mount Kisco, NY, 10549, USA
  • 6 Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
  • 7 Genomics and Computational Biology Research Group, University of South Wales, Pontypridd, CF371DL, UK
  • 8 Advanced Biotechnology and Breeding Centre, Malaysian Palm Oil Board, No. 6, Persiaran Institusi, Bandar Baru Bangi, 43000 Kajang, Selangor, Malaysia. lowengti@mpob.gov.my
Biol. Direct, 2017 Sep 08;12(1):21.
PMID: 28886750 DOI: 10.1186/s13062-017-0191-4

Abstract

BACKGROUND: 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.

RESULTS: 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.

CONCLUSIONS: 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.

REVIEWERS: This article was reviewed by Alexander Kel, Igor Rogozin, and Vladimir A. Kuznetsov.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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