Chapter title |
Identification of Genes Responsible for Natural Variation in Volatile Content Using Next-Generation Sequencing Technology.
|
---|---|
Chapter number | 4 |
Book title |
Plant Signal Transduction
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3115-6_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3114-9, 978-1-4939-3115-6
|
Authors |
Amaya, Iraida, Pillet, Jeremy, Folta, Kevin M, Iraida Amaya, Jeremy Pillet, Kevin M. Folta |
Abstract |
Identification of the genes controlling the variation of key traits remains a challenge for plant researchers and represents a goal for the development of functional markers and their implementation in marker-assisted crop breeding. As an example we describe the identification of volatile organic compounds (VOCs) that segregate as single locus or mayor quantitative trait loci (QTL) in strawberry F1 segregating populations. Next, we describe a fast and efficient method for RNA extraction in strawberry that yields high-quality RNA for downstream RNA-seq analysis. Finally, two alternative methods for analysis of global transcript expression in contrasting lines will be described in order to identify the candidate gene and genes with differential expression using RNA-seq. |
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Members of the public | 1 | 100% |
Mendeley readers
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Unknown | 6 | 100% |
Demographic breakdown
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Student > Doctoral Student | 2 | 33% |
Student > Ph. D. Student | 1 | 17% |
Other | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 1 | 17% |
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Agricultural and Biological Sciences | 4 | 67% |
Arts and Humanities | 1 | 17% |
Unknown | 1 | 17% |