Efficient computation of Faith's phylogenetic diversity with applications in characterizing microbiomes.

George Armstrong; Kalen Cantrell; Shi Huang; Daniel McDonald; Niina Haiminen; Anna Paola Carrieri; Qiyun Zhu; Antonio Gonzalez; Imran McGrath; Kristen L Beck; Daniel Hakim; Aki S Havulinna; Guillaume Méric; Teemu Niiranen; Leo Lahti; Veikko Salomaa; Mohit Jain; Michael Inouye; Austin D Swafford; Ho-Cheol Kim; Laxmi Parida; Yoshiki Vázquez-Baeza; Rob Knight
Abstract
The number of publicly available microbiome samples is continually growing. As data set size increases, bottlenecks arise in standard analytical pipelines. Faith's phylogenetic diversity (Faith's PD) is a highly utilized phylogenetic alpha diversity metric that has thus far failed to effectively scale to trees with millions of vertices. Stacked Faith's phylogenetic diversity (SFPhD) enables calculation of this widely adopted diversity metric at a much larger scale by implementing a computationally efficient algorithm. The algorithm reduces the amount of computational resources required, resulting in more accessible software with a reduced carbon footprint, as compared to previous approaches. The new algorithm produces identical results to the previous method. We further demonstrate that the phylogenetic aspect of Faith's PD provides increased power in detecting diversity differences between younger and older populations in the FINRISK study's metagenomic data.
Journal
ISSN 1549-5469
Published 01 Nov 2021
Volume 31
Issue 11
Pages 2131-2137
DOI 10.1101/gr.275777.121
Type Journal Article
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