Customer Reviews

Molecular Evolution: A Phylogenetic Approach

5 star:		(3)
4 star:		(2)
3 star:		(1)
2 star:		(0)
1 star:		(1)

 

 

Although molecular phylogenetic analysis can be extremely complex, this reference provides an introduction to the subject that is straightforward to read. The reference begins with consideration of trees, which are structures used to model actual evolutionary relationships between genes or entire lifeforms. It then provides an introduction to molecular and population genetics. Coding as well as noncoding DNA (tandem repeats, transposable elements, retroviruses, spacer DNA) is considered. The reference then considers how genetic change can be measured, followed by how we can deduce molecular phylogenies. The validity of the molecular clock is then considered, along with a discussion of the neutralist-selectionist debate. The reference finally considers how different phylogenies can be combined to determine actual phylogeny, reconciled trees, and rates of diversification.

I'm new to molecular evolution and have been confused with various terms and concepts (e.g., cladogram vs. phylogram vs. dendrogram, plesiomorphy vs. apomorphy vs. autapomorphy vs. synapomorphy vs. homoplasy, etc.). Reading other books that try to explain these concepts mostly in words only added more confusion.

Every page in this book contains highly illustrative figures that accompanies well written text. Of course, not all sections are not immediately clear to understand, and I would need to read other books as well.

If you are new to molecular evolution, start with this book along with any other books that may suit your particular need.

This book is very well written and a handy tool for anyone who is new to molecular evolution. Nice diagrams and concise chapters. The authors know how to break up the sometimes demanding ideas into appropriate bites. Perfect for grad students and senior undergrads.

If you're not familiar with DNA sequences analysis and inferring phylogenies, this book is a must read (as far as I know the only introduction book to the field). But it's a bit outdated (Bayesian analysis not covered).

My graduate advisor handed me his copy of the book and advised that I read Chapter 3. I read the chapter a couple of times, but I was reluctant to give the book back. I found it an invaluable reference on more than one term paper or thesis proposal. I had to have my own copy to avoid any potential chiding he may have given. The book is both informative and readable, doing a good job of explaining the material.

The book was in great condition except there were about 8 or 9 blank pages in the middle of the book. Luckily I have a friend with the same book so I just made copies of the missing pages and taped them into my book.

We use this book in the class and most of us don't like it. The book just doesn't do a good job explaining many things. Unless you are an expert in the field or at least have prior experience I would not recommend you this book.