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Insights from the GC content analysis of 76genome survey sequences (GSS) from Elaeisoleifera.

ABSTRACT: UNLABELLED:South American oil-palm (Elaeis oleifera) is not cultivated in tropical countries like Malaysia on large scale due to low yield of palm oil derived from its fruit mesocarp. However, its fruit mesocarp oil contains about 68.6 % oleic acid (C(18:1)) which is more than double in comparison to commercially cultivated oilpalm, E. guineensis Jacq Tenera (hybrid of Dura (?) x Pisifera (?)). It is also known that E. oleifera is a good source of tocotrienols and carotenoids. Therefore, it is of interest to know the genome sequence of E. oleifera. The objective of this study is to generate genome survey sequences (GSS) to get GC content insight in the E. oleifera genome. The nuclear genomic DNA isolated from young leaf-tissues was digested with EcoRI and NdeI/DraI restriction enzymes; and three genomic DNA libraries were constructed using Lambda ZAP-II, pGEM®-T Easy, and pDONR 222™ as cloning vectors. Generated 76 GSSs were analyzed by using Bioinformatics tools. The analysis result indicates that the adenine, cytosine, guanine and thymine content in generated GSSs are 30%, 20%, 20%, and 30% respectively. In conclusion, based on the precise GC content analysis of the randomly isolated 76 GSSs by using Bioinformatics tools we hypothesize that GC content in E. oleifera genome is 40%. The hypothesized 40% GC content in E. oleifera genome is expected to remain close to the GC content based on the whole genome analysis.(?)The nucleotide sequence data reported in this paper have been submitted to dbGSS division of the international DNA database (GenBank/DDBJ/EMBL) under accession numbers: DX575945- DX575972 and EI798032-EI798079. ABBREVIATIONS:gDNA - Nuclear genomic DNA, GSSs - Genome survey sequences K12, SAOP - South American oil-palm Db1.

SUBMITTER: Bhore SJ

PROVIDER: S-EPMC3040473 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

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Insights from the GC content analysis of 76genome survey sequences (GSS) from Elaeisoleifera.

Bhore Subhash J SJ Kassim Amelia A Shah Farida H FH

Bioinformation 20100920 4

<h4>Unlabelled</h4>South American oil-palm (Elaeis oleifera) is not cultivated in tropical countries like Malaysia on large scale due to low yield of palm oil derived from its fruit mesocarp. However, its fruit mesocarp oil contains about 68.6 % oleic acid (C(18:1)) which is more than double in comparison to commercially cultivated oilpalm, E. guineensis Jacq Tenera (hybrid of Dura (♀) x Pisifera (♂)). It is also known that E. oleifera is a good source of tocotrienols and carotenoids. Therefore, ...[more]

PMID: 21364775

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Project description:BACKGROUND: Genome survey sequences (GSS) offer a preliminary global view of a genome since, unlike ESTs, they cover coding as well as non-coding DNA and include repetitive regions of the genome. A more precise estimation of the nature, quantity and variability of repetitive sequences very early in a genome sequencing project is of considerable importance, as such data strongly influence the estimation of genome coverage, library quality and progress in scaffold construction. Also, the elimination of repetitive sequences from the initial assembly process is important to avoid errors and unnecessary complexity. Repetitive sequences are also of interest in a variety of other studies, for instance as molecular markers. RESULTS: We designed and implemented a straightforward pipeline called ReRep, which combines bioinformatics tools for identifying repetitive structures in a GSS dataset. In a case study, we first applied the pipeline to a set of 970 GSSs, sequenced in our laboratory from the human pathogen Leishmania braziliensis, the causative agent of leishmaniosis, an important public health problem in Brazil. We also verified the applicability of ReRep to new sequencing technologies using a set of 454-reads of an Escheria coli. The behaviour of several parameters in the algorithm is evaluated and suggestions are made for tuning of the analysis. CONCLUSION: The ReRep approach for identification of repetitive elements in GSS datasets proved to be straightforward and efficient. Several potential repetitive sequences were found in a L. braziliensis GSS dataset generated in our laboratory, and further validated by the analysis of a more complete genomic dataset from the EMBL and Sanger Centre databases. ReRep also identified most of the E. coli K12 repeats prior to assembly in an example dataset obtained by automated sequencing using 454 technology. The parameters controlling the algorithm behaved consistently and may be tuned to the properties of the dataset, in particular to the length of sequencing reads and the genome coverage. ReRep is freely available for academic use at http://bioinfo.pdtis.fiocruz.br/ReRep/.

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Insights from the GC content analysis of 76genome survey sequences (GSS) from Elaeisoleifera.

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Insights from the GC content analysis of 76genome survey sequences (GSS) from Elaeisoleifera.

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