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Discussion News Articles and Discussion Topic started by: someone here on Mar 12, 2019



Title: UPGMA versus Neighbor-Joining
Post by: someone here on Mar 12, 2019
Hi!
I was wondering if anyone out there would know why I should go with an UPGMA guide tree based method as opposed to a neighborjoining (NJ) guide tree based method.
From what I can tell, UPGMA creates rooted trees and NJ creates unrooted trees. But why would I choose one over the other?


Title: Re: UPGMA versus Neighbor-Joining
Post by: selena on Mar 12, 2019
They use different algorithms to build the from a distance matrix. You can check the details of those algorithms for the Wikipedia:

http://en.wikipedia.org/wiki/UPGMA
http://en.wikipedia.org/wiki/Neighbor_joining

The most important practical issues: UPGMA provides rooted tree as a result, while NJ unrooted, and you have to take care proper rooting the NJ tree afterward.

Also, UPGMA is regarded as an unreliable method, so I would prefer to use NJ.

Bootstrapping is a re-sampling method used in phylogenetics to estimate the reliability of individual branching points of a tree:

http://en.wikipedia.org/wiki/Bootstrapping_(statistics)

As a first approach, bootstrap values tell you how much you can "trust" a branch on a phylogenetic tree. The bigger the better. Values over 0.9 (90%) are usually OK. (But that depends on your data and research question too.) Values below 0.6 (60%) are usually no-go.


Title: Re: UPGMA versus Neighbor-Joining
Post by: brigettelearn on Mar 12, 2019
The Unweighted Pair-Group Method  with Arithmetic Averaging (UPGMA) algorithm (left) assumes equal rates of evolution, so that branch tips come out equal. The Neighbor-Joining (NJ) (right) algorithm allows for unequal rates of evolution, so that branch lengths are proportional to amount of change. If rates on different branches are not markedly unequal, the branching orders produced by the two methods will not differ, as in this example with Carnivora.

(https://www.mun.ca/biology/scarr/Panda_UPGMA_&_NJ_analyses.gif)

Alternative UPGMA & NJ phenetic analyses of Panda relationships


Title: Re: UPGMA versus Neighbor-Joining
Post by: someone here on Mar 12, 2019
Thanks guys!
One further question - why would a rooted or unrooted tree or assuming equal or unequal rates of evolution be beneficial for one scenario versus another?


Title: Re: UPGMA versus Neighbor-Joining
Post by: bio_man on Mar 13, 2019
(https://biology-forums.com/gallery/40/6_13_03_19_1_06_31.jpeg) (https://biology-forums.com/index.php?action=gallery;sa=view&id=40061)

The first sentence explains the benefit of one over the other


Title: Re: UPGMA versus Neighbor-Joining
Post by: someone here on Mar 13, 2019
Thank you very much for your help! Appreciate all the insight. Makes perfect sense when someone explains it like that.


Title: Re: UPGMA versus Neighbor-Joining
Post by: bio_man on Mar 13, 2019
Our pleasure :D

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