Chapter title |
Tangled Trees: The Challenge of Inferring Species Trees from Coalescent and Noncoalescent Genes
|
---|---|
Chapter number | 1 |
Book title |
Evolutionary Genomics
|
Published in |
Methods in molecular biology, January 2012
|
DOI | 10.1007/978-1-61779-585-5_1 |
Pubmed ID | |
Book ISBNs |
978-1-61779-584-8, 978-1-61779-585-5
|
Authors |
Christian N. K. Anderson, Liang Liu, Dennis Pearl, Scott V. Edwards, Anderson, Christian N. K., Liu, Liang, Pearl, Dennis, Edwards, Scott V. |
Abstract |
Phylogenies based on different genes can produce conflicting phylogenies; methods that resolve such ambiguities are becoming more popular, and offer a number of advantages for phylogenetic analysis. We review so-called species tree methods and the biological forces that can undermine them by violating important aspects of the underlying models. Such forces include horizontal gene transfer, gene duplication, and natural selection. We review ways of detecting loci influenced by such forces and offer suggestions for identifying or accommodating them. The way forward involves identifying outlier loci, as is done in population genetic analysis of neutral and selected loci, and removing them from further analysis, or developing more complex species tree models that can accommodate such loci. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 10% |
Brazil | 1 | 2% |
United Kingdom | 1 | 2% |
Sweden | 1 | 2% |
Mexico | 1 | 2% |
New Zealand | 1 | 2% |
Unknown | 32 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 20% |
Researcher | 7 | 17% |
Student > Master | 7 | 17% |
Professor | 6 | 15% |
Student > Bachelor | 4 | 10% |
Other | 6 | 15% |
Unknown | 3 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 61% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Computer Science | 2 | 5% |
Environmental Science | 1 | 2% |
Mathematics | 1 | 2% |
Other | 4 | 10% |
Unknown | 4 | 10% |