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Large-scale collection and annotation of gene models for date palm (Phoenix dactylifera, L.).

Guangyu Zhang | Linlin Pan | Yuxin Yin | Wanfei Liu | Dawei Huang | Tongwu Zhang | Lei Wang | Chengqi Xin | Qiang Lin | Gaoyuan Sun | Mohammed M Ba Abdullah | Xiaowei Zhang | Songnian Hu | Ibrahim S Al-Mssallem | Jun Yu
Plant molecular biology | 2012

The date palm (Phoenix dactylifera L.), famed for its sugar-rich fruits (dates) and cultivated by humans since 4,000 B.C., is an economically important crop in the Middle East, Northern Africa, and increasingly other places where climates are suitable. Despite a long history of human cultivation, the understanding of P. dactylifera genetics and molecular biology are rather limited, hindered by lack of basic data in high quality from genomics and transcriptomics. Here we report a large-scale effort in generating gene models (assembled expressed sequence tags or ESTs and mapped to a genome assembly) for P. dactylifera, using the long-read pyrosequencing platform (Roche/454 GS FLX Titanium) in high coverage. We built fourteen cDNA libraries from different P. dactylifera tissues (cultivar Khalas) and acquired 15,778,993 raw sequencing reads-about one million sequencing reads per library-and the pooled sequences were assembled into 67,651 non-redundant contigs and 301,978 singletons. We annotated 52,725 contigs based on the plant databases and 45 contigs based on functional domains referencing to the Pfam database. From the annotated contigs, we assigned GO (Gene Ontology) terms to 36,086 contigs and KEGG pathways to 7,032 contigs. Our comparative analysis showed that 70.6 % (47,930), 69.4 % (47,089), 68.4 % (46,441), and 69.3 % (47,048) of the P. dactylifera gene models are shared with rice, sorghum, Arabidopsis, and grapevine, respectively. We also assigned our gene models into house-keeping and tissue-specific genes based on their tissue specificity.

Pubmed ID: 22736259

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RRID:SCR_012762

GIRI is a private, non-profit research institution founded in 1994. Our mission is to understand biological processes which alter the genetic makeup of different organisms, as a basis for potential gene therapy and genome engineering techniques. We pursue and promote original peer-reviewed, public domain research on genetic information (DNA sequence data), as well as dissemination of databases and computer software related to this research. Our research is heavily based on computer power and human skills different from those applied in classical molecular biology and genetics.

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