Evidence-based gene models for structural and functional annotations of the oil palm genome
Chan Kuang Lim, Tatiana V. Tatarinova, Rozana Rosli, Nadzirah, Amiruddin, Norazah Azizi, Mohd Amin Ab Halim, Nik Shazana Nik Mohd Sanusi,, Jayanthi Nagappan, Petr Ponomarenko, Martin Triska, Victor Solovyev, Mohd, Firdaus-Raih, Ravigadevi Sambanthamurthi, Denis Murphy

TL;DR
This study provides a high-quality, integrated gene annotation for the oil palm genome, identifying key genes involved in resistance and fatty acid biosynthesis, supporting future breeding and functional studies.
Contribution
The paper presents an improved, evidence-based gene annotation for the oil palm genome, combining two prediction pipelines and detailed functional analysis.
Findings
Annotated 26,059 oil palm genes with improved accuracy
Identified 3,658 intronless genes for evolutionary insights
Discovered 210 resistance and 42 fatty acid biosynthesis genes
Abstract
The advent of rapid and inexpensive DNA sequencing has led to an explosion of data waiting to be transformed into knowledge about genome organization and function. Gene prediction is customarily the starting point for genome analysis. This paper presents a bioinformatics study of the oil palm genome, including comparative genomics analysis, database and tools development, and mining of biological data for genes of interest. We have annotated 26,059 oil palm genes integrated from two independent gene-prediction pipelines, Fgenesh++ and Seqping. This integrated annotation constitutes a significant improvement in comparison to the preliminary annotation published in 2013. We conducted a comprehensive analysis of intronless, resistance and fatty acid biosynthesis genes, and demonstrated that the high quality of the current genome annotation. 3,658 intronless genes were identified in the oil…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
