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Annotation and re-sequencing of genes from de novo transcriptome assembly of Abies alba (Pinaceae)1

Identifieur interne : 000057 ( France/Analysis ); précédent : 000056; suivant : 000058

Annotation and re-sequencing of genes from de novo transcriptome assembly of Abies alba (Pinaceae)1

Auteurs : Anna M. Roschanski [Allemagne] ; Bruno Fady [France] ; Birgit Ziegenhagen [Allemagne] ; Sascha Liepelt [Allemagne]

Source :

RBID : PMC:4105350

Abstract

Premise of the study: We present a protocol for the annotation of transcriptome sequence data and the identification of candidate genes therein using the example of the nonmodel conifer Abies alba.

Methods and Results: A normalized cDNA library was built from an A. alba seedling. The sequencing on a 454 platform yielded more than 1.5 million reads that were de novo assembled into 25149 contigs. Two complementary approaches were applied to annotate gene fragments that code for (1) well-known proteins and (2) proteins that are potentially adaptively relevant. Primer development and testing yielded 88 amplicons that could successfully be resequenced from genomic DNA.

Conclusions: The annotation workflow offers an efficient way to identify potential adaptively relevant genes from the large quantity of transcriptome sequence data. The primer set presented should be prioritized for single-nucleotide polymorphism detection in adaptively relevant genes in A. alba.


Url:
DOI: 10.3732/apps.1200179
PubMed: 25202477
PubMed Central: 4105350


Affiliations:


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PMC:4105350

Le document en format XML

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<sup>1</sup>
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<italic>Premise of the study:</italic>
We present a protocol for the annotation of transcriptome sequence data and the identification of candidate genes therein using the example of the nonmodel conifer
<italic>Abies alba</italic>
.</p>
<p>
<italic>Methods and Results:</italic>
A normalized cDNA library was built from an
<italic>A. alba</italic>
seedling. The sequencing on a 454 platform yielded more than 1.5 million reads that were de novo assembled into 25149 contigs. Two complementary approaches were applied to annotate gene fragments that code for (1) well-known proteins and (2) proteins that are potentially adaptively relevant. Primer development and testing yielded 88 amplicons that could successfully be resequenced from genomic DNA.</p>
<p>
<italic>Conclusions:</italic>
The annotation workflow offers an efficient way to identify potential adaptively relevant genes from the large quantity of transcriptome sequence data. The primer set presented should be prioritized for single-nucleotide polymorphism detection in adaptively relevant genes in
<italic>A. alba</italic>
.</p>
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<region name="Provence-Alpes-Côte d'Azur">
<name sortKey="Fady, Bruno" sort="Fady, Bruno" uniqKey="Fady B" first="Bruno" last="Fady">Bruno Fady</name>
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