| Chapter title |
Whole Genome Duplication in Plants: Implications for Evolutionary Analysis
|
|---|---|
| Chapter number | 10 |
| Book title |
Comparative Genomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7463-4_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7461-0, 978-1-4939-7463-4
|
| Authors |
David Sankoff, Chunfang Zheng |
| Abstract |
The recurrent cycle of whole genome duplication (WGD) followed by massive duplicate gene loss (fractionation) differentiates plant evolutionary history from that of most other phylogenetic domains, where WGD has occurred relatively rarely, even on an evolutionary time scale. We discuss the mechanism of WGD and its biological consequences. We survey the prevalence of WGD in the flowering plants. We outline some of the major kinds of combinatorial optimization problems arising in computational biology for analyzing WGD. Fractionation and its consequences are the subject of mathematical modeling questions and further combinatorial algorithms. A strong connection is made between WGD in phylogenetic context and the theory of gene trees and species trees. We illustrate the analysis of WGD with studies involving a large number of sequenced plant genomes, including grape, the crucifers and other rosids, the asterid tomato, the eudicot Nelumbo nucifera and pineapple, a monocot. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 23% |
| Canada | 1 | 8% |
| Austria | 1 | 8% |
| Belgium | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Researcher | 5 | 19% |
| Student > Doctoral Student | 2 | 7% |
| Professor | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 44% |
| Biochemistry, Genetics and Molecular Biology | 7 | 26% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 19% |