Analysis of the Pythium ultimum transcriptome
Author Information
Author(s): Cheung Foo, Win Joe, Lang Jillian M, Hamilton John, Vuong Hue, Leach Jan E, Kamoun Sophien, André Lévesque C, Tisserat Ned, Buell C Robin
Primary Institution: The J. Craig Venter Institute
Hypothesis
How can high throughput sequencing methods improve our understanding of the Pythium ultimum transcriptome?
Conclusion
The study successfully generated a robust set of transcribed sequences for Pythium ultimum, identifying both known and novel sequences, and providing resources for future phylogenetic and diagnostic marker development.
Supporting Evidence
- The study generated 90,664 reads from pyrosequencing and 9,578 reads from Sanger sequencing.
- A total of 34,495 unique sequences were identified in the hybrid assembly.
- 91% of the hybrid assembly derived sequences > 500 bp had similarity to sequences from plant pathogenic Phytophthora species.
- 179 candidate simple sequence repeats were identified for potential genotyping.
Takeaway
Scientists studied a plant pathogen called Pythium ultimum to learn more about its genes using two different sequencing methods, which helped them find many important sequences.
Methodology
The study used Sanger-based sequencing and 454 FLX pyrosequencing to generate expressed sequence tags (ESTs) from the transcriptome of Pythium ultimum.
Limitations
The shorter read lengths from pyrosequencing limited biological interpretations due to reduced information content.
Digital Object Identifier (DOI)
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