Next generation sequencing and de novo transcriptomics to study gene evolution

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• 作者：Achala S Jayasena (1)
  David Secco (1)
  Kalia Bernath-Levin (1)
  Oliver Berkowitz (1) (3)
  James Whelan (2)
  Joshua S Mylne (1)
  
  1. The University of Western Australia ; School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology ; 35 Stirling Highway ; Crawley ; Perth ; 6009 ; Australia
  3. The University of Western Australia ; School of Plant Biology ; 35 Stirling Highway ; Crawley ; Perth ; 6009 ; Australia
  2. La Trobe University ; Department of Botany ; School of Life Sciences & ARC Centre of Excellence in Plant Energy Biology ; AgriBio ; the Centre for AgriBioscience ; 5 Ring Road ; Melbourne ; Bundoora Victoria ; 3086 ; Australia
  
• 关键词：De novo transcriptomics ; Gene evolution ; PawS1 ; Cyclic peptides
• 刊名：Plant Methods
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：10
• 期：1
• 全文大小：1,600 KB
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• 刊物主题：Plant Sciences; Biological Techniques;
• 出版者：BioMed Central
• ISSN：1746-4811

文摘

Background Studying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species. Results Here we describe how to apply de novo transcriptomics to pursue the evolution of a single gene of interest. We follow a rapidly evolving seed protein that encodes small, stable peptides. We use software that needs limited bioinformatics background and assemble four de novo seed transcriptomes. To demonstrate the quality of the assemblies, we confirm the predicted genes at the peptide level on one species which has over ten copies of our gene of interest. We explain strategies that favour assembly of low abundance genes, what assembly parameters help capture the maximum number of transcripts, how to develop a suite of control genes to test assembly quality and we compare several sequence depths to optimise cost and data volume. Conclusions De novo transcriptomics is an effective approach for studying gene evolution in species for which genome support is lacking.