Motivation: The promise of higher phylogenetic stability through increased dataset sizes within tree of life (TOL) reconstructions has not been fulfilled. Among the many possible causes are changes in species composition (taxon sampling) that could influence phylogenetic accuracy of the methods by altering the relative weight of the evolutionary histories of each individual species. This effect would be stronger in clades that are represented by few lineages, which is common in many prokaryote phyla. Indeed, phyla with fewer taxa showed the most discordance among recent TOL studies. We implemented an approach to systematically test how the identity of taxa among a larger dataset and the number of taxa included affected the accuracy of phylogenetic reconstruction.
Results: Utilizing an empirical dataset within Terrabacteria we found that even within scenarios consisting of the same number of taxa, the species used strongly affected phylogenetic stability. Furthermore, we found that trees with fewer species were more dissimilar to the tree produced from the full dataset. These results hold even when the tree is composed by many phyla and only one of them is being altered. Thus, the effect of taxon sampling in one group does not seem to be buffered by the presence of many other clades, making this issue relevant even to very large datasets. Our results suggest that a systematic evaluation of phylogenetic stability through taxon resampling is advisable even for very large datasets.
Availability And Implementation: https://github.com/BlabOaklandU/PATS.git.
Supplementary Information: Supplementary data are available at Bioinformatics online.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761941 | PMC |
http://dx.doi.org/10.1093/bioinformatics/btz121 | DOI Listing |
Sci Rep
January 2025
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.
Polycyclic aromatic compounds (PACs) are pervasive environmental contaminants derived from diverse sources including pyrogenic (e.g., combustion processes), petrogenic (e.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Molecular Biomimetics, Department of Chemistry, Ångström Laboratory, Uppsala University, P.O. Box 523, Uppsala SE-75120, Sweden.
[FeFe] hydrogenases make up a structurally diverse family of metalloenzymes that catalyze proton/dihydrogen interconversion. They can be classified into phylogenetically distinct groups denoted A-G, which differ in structure and reactivity. Prototypical Group A hydrogenases have high turnover rates and remarkable energy efficiency.
View Article and Find Full Text PDFISME Commun
January 2025
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Antarctic snow harbors diverse microorganisms, including pigmented algae and bacteria, which create colored snow patches and influence global climate and biogeochemical cycles. However, the genomic diversity and metabolic potential of colored snow remain poorly understood. We conducted a genome-resolved study of microbiomes in colored snow from 13 patches (7 green and 6 red) on the Fildes Peninsula, Antarctica.
View Article and Find Full Text PDFViruses
January 2025
Laboratory of Molecular Microbiology, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
is an important opportunistic pathogen often resistant to antibiotics. Specific phages can be useful in eliminating infection caused by . phage vB_KlebPS_265 (KlebP_265) and its host strain were isolated from the sputum of a patient with infection.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
School of Life Sciences, Nanchang University, Nanchang 330031, China.
is a fully mycoheterotrophic orchid that lacks both leaves and roots, belonging to the genus in the subtribe Calypsoinae. In this study, we assembled and annotated its mitochondrial genome (397,867 bp, GC content: 42.70%), identifying 55 genes, including 37 protein-coding genes (PCGs), 16 tRNAs, and 2 rRNAs, and conducted analyses of relative synonymous codon usage (RSCU), repeat sequences, horizontal gene transfers (HGTs), and gene selective pressure (dN/dS).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!