| Chapter title |
De Novo Transcriptome Assembly in Polyploid Species
|
|---|---|
| Chapter number | 15 |
| Book title |
Oat
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6682-0_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6680-6, 978-1-4939-6682-0
|
| Authors |
Gutierrez-Gonzalez, Juan J., Garvin, David F., Juan J. Gutierrez-Gonzalez, David F. Garvin |
| Editors |
Sebastian Gasparis |
| Abstract |
In the absence of a reference genome, the ultimate goal of a de novo transcriptome assembly is to accurately and comprehensively reconstruct the set of messenger RNA transcripts represented in the sample. Non-reference assembly of the transcriptome of polyploid species poses a particular challenge because of the presence of homeologs that are difficult to disentangle at the sequence level. This is especially true for hexaploid oats, which have three highly similar subgenomes, two of which are thought to be nearly identical. Under these circumstances, most software packages and established pipelines encounter difficulties in rendering an accurate transcriptome because they are typically developed, refined, and tested for diploid organisms. We present a protocol for transcriptome assembly in oats that can be extended both to other polyploids and species with highly duplicated genomes. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 38% |
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Unknown | 5 | 31% |