-
Je něco špatně v tomto záznamu ?
PhyloFisher: A phylogenomic package for resolving eukaryotic relationships
AK. Tice, D. Žihala, T. Pánek, RE. Jones, ED. Salomaki, S. Nenarokov, F. Burki, M. Eliáš, L. Eme, AJ. Roger, A. Rokas, XX. Shen, JFH. Strassert, M. Kolísko, MW. Brown
Jazyk angličtina Země Spojené státy americké
Typ dokumentu hodnotící studie, časopisecké články, práce podpořená grantem, Research Support, U.S. Gov't, Non-P.H.S.
NLK
Directory of Open Access Journals
od 2003
Free Medical Journals
od 2003
Public Library of Science (PLoS)
od 2003
PubMed Central
od 2003
Europe PubMed Central
od 2003
ProQuest Central
od 2003-10-01
Open Access Digital Library
od 2003-01-01
Open Access Digital Library
od 2003-01-01
Open Access Digital Library
od 2003-10-01
Open Access Digital Library
od 2003-12-01
Medline Complete (EBSCOhost)
od 2003-10-01
Health & Medicine (ProQuest)
od 2003-10-01
- MeSH
- Eukaryota genetika MeSH
- fylogeneze * MeSH
- software * MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
Phylogenomic analyses of hundreds of protein-coding genes aimed at resolving phylogenetic relationships is now a common practice. However, no software currently exists that includes tools for dataset construction and subsequent analysis with diverse validation strategies to assess robustness. Furthermore, there are no publicly available high-quality curated databases designed to assess deep (>100 million years) relationships in the tree of eukaryotes. To address these issues, we developed an easy-to-use software package, PhyloFisher (https://github.com/TheBrownLab/PhyloFisher), written in Python 3. PhyloFisher includes a manually curated database of 240 protein-coding genes from 304 eukaryotic taxa covering known eukaryotic diversity, a novel tool for ortholog selection, and utilities that will perform diverse analyses required by state-of-the-art phylogenomic investigations. Through phylogenetic reconstructions of the tree of eukaryotes and of the Saccharomycetaceae clade of budding yeasts, we demonstrate the utility of the PhyloFisher workflow and the provided starting database to address phylogenetic questions across a large range of evolutionary time points for diverse groups of organisms. We also demonstrate that undetected paralogy can remain in phylogenomic "single-copy orthogroup" datasets constructed using widely accepted methods such as all vs. all BLAST searches followed by Markov Cluster Algorithm (MCL) clustering and application of automated tree pruning algorithms. Finally, we show how the PhyloFisher workflow helps detect inadvertent paralog inclusions, allowing the user to make more informed decisions regarding orthology assignments, leading to a more accurate final dataset.
Department of Biochemistry and Molecular Biology Dalhousie University Halifax Canada
Department of Biological Sciences Vanderbilt University Nashville Tennessee United States of America
Department of Biology and Ecology Faculty of Science University of Ostrava Ostrava Czech Republic
Department of Organismal Biology Uppsala University Uppsala Sweden
Faculty of Science University of South Bohemia České Budějovice Czech Republic
Institute of Parasitology Biology Centre Czech Academy of Sciences České Budějovice Czech Republic
Leibniz Institute of Freshwater Ecology and Inland Fisheries Ecosystem Research Berlin Germany
Science for Life Laboratory Uppsala University Uppsala Sweden
Unité d'Ecologie Systématique et Evolution CNRS Université Paris Saclay Paris France
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22003946
- 003
- CZ-PrNML
- 005
- 20220127145712.0
- 007
- ta
- 008
- 220113s2021 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1371/journal.pbio.3001365 $2 doi
- 035 __
- $a (PubMed)34358228
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Tice, Alexander K $u Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, United States of America $u Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi, United States of America
- 245 10
- $a PhyloFisher: A phylogenomic package for resolving eukaryotic relationships / $c AK. Tice, D. Žihala, T. Pánek, RE. Jones, ED. Salomaki, S. Nenarokov, F. Burki, M. Eliáš, L. Eme, AJ. Roger, A. Rokas, XX. Shen, JFH. Strassert, M. Kolísko, MW. Brown
- 520 9_
- $a Phylogenomic analyses of hundreds of protein-coding genes aimed at resolving phylogenetic relationships is now a common practice. However, no software currently exists that includes tools for dataset construction and subsequent analysis with diverse validation strategies to assess robustness. Furthermore, there are no publicly available high-quality curated databases designed to assess deep (>100 million years) relationships in the tree of eukaryotes. To address these issues, we developed an easy-to-use software package, PhyloFisher (https://github.com/TheBrownLab/PhyloFisher), written in Python 3. PhyloFisher includes a manually curated database of 240 protein-coding genes from 304 eukaryotic taxa covering known eukaryotic diversity, a novel tool for ortholog selection, and utilities that will perform diverse analyses required by state-of-the-art phylogenomic investigations. Through phylogenetic reconstructions of the tree of eukaryotes and of the Saccharomycetaceae clade of budding yeasts, we demonstrate the utility of the PhyloFisher workflow and the provided starting database to address phylogenetic questions across a large range of evolutionary time points for diverse groups of organisms. We also demonstrate that undetected paralogy can remain in phylogenomic "single-copy orthogroup" datasets constructed using widely accepted methods such as all vs. all BLAST searches followed by Markov Cluster Algorithm (MCL) clustering and application of automated tree pruning algorithms. Finally, we show how the PhyloFisher workflow helps detect inadvertent paralog inclusions, allowing the user to make more informed decisions regarding orthology assignments, leading to a more accurate final dataset.
- 650 _2
- $a Eukaryota $x genetika $7 D056890
- 650 12
- $a fylogeneze $7 D010802
- 650 12
- $a software $7 D012984
- 655 _2
- $a hodnotící studie $7 D023362
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 655 _2
- $a Research Support, U.S. Gov't, Non-P.H.S. $7 D013486
- 700 1_
- $a Žihala, David $u Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- 700 1_
- $a Pánek, Tomáš $u Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, United States of America $u Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- 700 1_
- $a Jones, Robert E $u Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, United States of America $u Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi, United States of America
- 700 1_
- $a Salomaki, Eric D $u Institute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice, Czech Republic
- 700 1_
- $a Nenarokov, Serafim $u Institute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice, Czech Republic
- 700 1_
- $a Burki, Fabien $u Department of Organismal Biology, Uppsala University, Uppsala, Sweden $u Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- 700 1_
- $a Eliáš, Marek $u Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- 700 1_
- $a Eme, Laura $u Unité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay, Paris, France
- 700 1_
- $a Roger, Andrew J $u Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Canada
- 700 1_
- $a Rokas, Antonis $u Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
- 700 1_
- $a Shen, Xing-Xing $u State Key Laboratory of Rice Biology and Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, China
- 700 1_
- $a Strassert, Jürgen F H $u Department of Organismal Biology, Uppsala University, Uppsala, Sweden $u Leibniz Institute of Freshwater Ecology and Inland Fisheries, Ecosystem Research, Berlin, Germany
- 700 1_
- $a Kolísko, Martin $u Institute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice, Czech Republic $u Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
- 700 1_
- $a Brown, Matthew W $u Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, United States of America $u Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi, United States of America
- 773 0_
- $w MED00008061 $t PLoS biology $x 1545-7885 $g Roč. 19, č. 8 (2021), s. e3001365
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34358228 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220113 $b ABA008
- 991 __
- $a 20220127145708 $b ABA008
- 999 __
- $a ok $b bmc $g 1751416 $s 1155095
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 19 $c 8 $d e3001365 $e 20210806 $i 1545-7885 $m PLoS biology $n Plos Biol $x MED00008061
- LZP __
- $a Pubmed-20220113