Generation and analysis of expressed sequence tags (ESTs) for marker development in yam (Dioscorea alata L.)
2011

Developing Genetic Markers for Yam Disease Resistance

Sample size: 3 publication Evidence: high

Author Information

Author(s): Narina Satya S, Buyyarapu Ramesh, Kottapalli Kameswara Rao, Sartie Alieu M, Ali Mohamed I, Robert Asiedu, Hodeba Mignouna JD, Sayre Brian L, Scheffler Brian E

Primary Institution: USDA-ARS, Stoneville, MS, USA

Hypothesis

The study aims to generate expressed sequence tags (ESTs) to identify molecular markers associated with anthracnose resistance in yam.

Conclusion

The research successfully developed a comprehensive annotated transcriptome dataset for yam, aiding in the identification of unique transcripts related to disease resistance.

Supporting Evidence

  • A total of 44,757 EST sequences were generated from the cDNA libraries.
  • More than 56% of ESTs were annotated using bioinformatics tools.
  • 1705 SSR markers were designed from the identified unique sequences.

Takeaway

Scientists studied different types of yam plants to find out which ones can resist a harmful fungus, and they created a big list of genes that can help improve yam crops.

Methodology

Total RNA was isolated from yam leaves, and cDNA libraries were sequenced using Roche 454 technology to generate ESTs.

Limitations

Approximately 50% of ESTs could not be annotated and remained unknown.

Digital Object Identifier (DOI)

10.1186/1471-2164-12-100

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