Characterization of the Sesame Transcriptome and Development of Molecular Markers
Author Information
Author(s): Wei Wenliang, Qi Xiaoqiong, Wang Linhai, Zhang Yanxin, Hua Wei, Li Donghua, Lv Haixia, Zhang Xiurong
Primary Institution: Key Laboratory of Oil Crops Biology of the Ministry of Agriculture, Sesame Germplasm and Genetic Breeding Laboratory, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences
Hypothesis
Illumina paired-end sequencing can effectively generate a comprehensive transcriptome dataset for sesame to aid in gene discovery and molecular marker development.
Conclusion
The study successfully generated a large dataset of sesame unigenes and identified numerous EST-SSR markers, demonstrating the effectiveness of Illumina paired-end sequencing for non-model organisms.
Supporting Evidence
- The study generated a total of 86,222 unigenes with an average length of 629 bp.
- Out of the unigenes, 46,584 showed significant similarity with known proteins.
- A total of 7,702 unigenes were converted into SSR markers, with dinucleotide SSRs being the most common.
- Forty primer pairs were tested, with 40 successfully amplifying DNA fragments and showing polymorphism among 24 sesame accessions.
Takeaway
Researchers sequenced sesame plants to learn more about their genes and created markers that can help breed better sesame crops.
Methodology
The study used Illumina paired-end sequencing to analyze pooled RNA from five sesame tissues, generating unigenes and identifying EST-SSRs.
Limitations
The study is limited by the lack of existing genomic data for sesame, which may affect the interpretation of some results.
Digital Object Identifier (DOI)
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