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Expressed sequence tags with cDNA termini: previously overlooked resources for gene annotation and transcriptome exploration in Chlamydomonas reinhardtii.

ABSTRACT: Many of Chlamydomonas reinhardtii expressed sequence tags (ESTs) in GenBank dbEST and community EST assemblies were either over- or undertrimmed in terms of their cDNA termini, which are defined as the diagnostic sequence elements that delineate 3'/5' ends of mRNA transcripts. Overtrimming represents a loss of directional, positional, and structural information of transcript ends whereas undertrimming causes unclean spurious sequences retained in ESTs that exert deleterious impacts on downstream EST-based applications. We examined 309,278 raw EST sequencing trace files of C. reinhardtii and found that only 57% had cDNA termini that matched the expected structures specified in their cDNA library constructions while satisfying our minimum length requirement for their final clean sequences. Using GMAP, 156,963 individual ESTs were mapped to the genome successfully, with their in silico-verified cDNA termini anchored to the genome. Our data analysis suggested strong macro- and microheterogeneity of 3'/5' end positions of individual transcripts derived from the same genes in C. reinhardtii. This work annotating differential ends of individual transcripts in the draft genome presents the research community with a new stream of data that will facilitate accurate determination of gene structures, genome annotation, and exploration of the transcriptome and mRNA metabolism in C. reinhardtii.

SUBMITTER: Liang C

PROVIDER: S-EPMC2390652 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature

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Expressed sequence tags with cDNA termini: previously overlooked resources for gene annotation and transcriptome exploration in Chlamydomonas reinhardtii.

Liang Chun C Liu Yuansheng Y Liu Lin L Davis Adam C AC Shen Yingjia Y Li Qingshun Quinn QQ

Genetics 20080501 1

Many of Chlamydomonas reinhardtii expressed sequence tags (ESTs) in GenBank dbEST and community EST assemblies were either over- or undertrimmed in terms of their cDNA termini, which are defined as the diagnostic sequence elements that delineate 3'/5' ends of mRNA transcripts. Overtrimming represents a loss of directional, positional, and structural information of transcript ends whereas undertrimming causes unclean spurious sequences retained in ESTs that exert deleterious impacts on downstream ...[more]

PMID: 18493042

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Project description:BackgroundRecent advances in the field of metabolic engineering have been expedited by the availability of genome sequences and metabolic modelling approaches. The complete sequencing of the C. reinhardtii genome has made this unicellular alga a good candidate for metabolic engineering studies; however, the annotation of the relevant genes has not been validated and the much-needed metabolic ORFeome is currently unavailable. We describe our efforts on the functional annotation of the ORF models released by the Joint Genome Institute (JGI), prediction of their subcellular localizations, and experimental verification of their structural annotation at the genome scale.ResultsWe assigned enzymatic functions to the translated JGI ORF models of C. reinhardtii by reciprocal BLAST searches of the putative proteome against the UniProt and AraCyc enzyme databases. The best match for each translated ORF was identified and the EC numbers were transferred onto the ORF models. Enzymatic functional assignment was extended to the paralogs of the ORFs by clustering ORFs using BLASTCLUST. In total, we assigned 911 enzymatic functions, including 886 EC numbers, to 1,427 transcripts. We further annotated the enzymatic ORFs by prediction of their subcellular localization. The majority of the ORFs are predicted to be compartmentalized in the cytosol and chloroplast. We verified the structure of the metabolism-related ORF models by reverse transcription-PCR of the functionally annotated ORFs. Following amplification and cloning, we carried out 454FLX and Sanger sequencing of the ORFs. Based on alignment of the 454FLX reads to the ORF predicted sequences, we obtained more than 90% coverage for more than 80% of the ORFs. In total, 1,087 ORF models were verified by 454 and Sanger sequencing methods. We obtained expression evidence for 98% of the metabolic ORFs in the algal cells grown under constant light in the presence of acetate.ConclusionsWe functionally annotated approximately 1,400 JGI predicted metabolic ORFs that can facilitate the reconstruction and refinement of a genome-scale metabolic network. The unveiling of the metabolic potential of this organism, along with structural verification of the relevant ORFs, facilitates the selection of metabolic engineering targets with applications in bioenergy and biopharmaceuticals. The ORF clones are a resource for downstream studies.

Dataset Information

Expressed sequence tags with cDNA termini: previously overlooked resources for gene annotation and transcriptome exploration in Chlamydomonas reinhardtii.

Publications

Expressed sequence tags with cDNA termini: previously overlooked resources for gene annotation and transcriptome exploration in Chlamydomonas reinhardtii.

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