Cited by 73Genomics and Phylogenetic StudiesFractal and DNA sequence analysisRNA and protein synthesis mechanisms

DendroBLAST: Approximate Phylogenetic Trees in the Absence of Multiple Sequence Alignments

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Kelly, Steven, Maini, Philip K.·2013·PLoS ONE

Abstract

The rapidly growing availability of genome information has created considerable demand for both fast and accurate phylogenetic inference algorithms. We present a novel method called DendroBLAST for reconstructing phylogenetic dendrograms/trees from protein sequences using BLAST. This method differs from other methods by incorporating a simple model of sequence evolution to test the effect of introducing sequence changes on the reliability of the bipartitions in the inferred tree. Using realistic simulated sequence data we demonstrate that this method produces phylogenetic trees that are more accurate than other commonly-used distance based methods though not as accurate as maximum likelihood methods from good quality multiple sequence alignments. In addition to tests on simulated data, we use DendroBLAST to generate input trees for a supertree reconstruction of the phylogeny of the Archaea. This independent analysis produces an approximate phylogeny of the Archaea that has both high precision and recall when compared to previously published analysis of the same dataset using conventional methods. Taken together these results demonstrate that approximate phylogenetic trees can be produced in the absence of multiple sequence alignments, and we propose that these trees will provide a platform for improving and informing downstream bioinformatic analysis. A web implementation of the DendroBLAST method is freely available for use at http://www.dendroblast.com/.

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  • The accuracy of key component algorithms of OrthoFinder has been independently assessed in this work and in dedicated publications.

    “The accuracy of key component algorithms of OrthoFinder has been independently assessed in this work and in dedicated publications [5, 10, 22, 24, 33].”
  • In benchmark tests, STAG had higher accuracy than other leading methods for species tree inference, including maximum likelihood species tree inference from concatenated alignments of protein sequences, ASTRAL and NJst.

    “In benchmark tests, STAG [24] had higher accuracy than other leading methods for species tree inference, including maximum likelihood species tree inference from concatenated alignments of protein sequences, ASTRAL [38] and NJst [39].”

    From OrthoFinder: phylogenetic orthology inference for comparative genomics (2019) · cites this paper as [24]

    The Methods and Results passages benchmark DendroBLAST, not STAG. Searches for STAG, ASTRAL, NJst, and the claimed comparison with concatenated protein alignments found no passage in this paper that evaluates STAG's accuracy against those methods. (LLM, conf=0.78)

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Research works printed but not linked: 40

  1. [1]Golubchik T, Wise MJ, Easteal S, Jermiin LS (2007) Mind the gaps: evidence of bias in estimates of multiple sequence alignments. Mol Biol Evol 24: 2433– 2442. 17709332
  2. [2]Edgar RC (2010) Quality measures for protein alignment benchmarks. Nucleic Acids Res 38: 2145– 2153. 20047958 PMC2853116
  3. [3]Thompson JD, Linard B, Lecompte O, Poch O (2011) A comprehensive benchmark study of multiple sequence alignment methods: current challenges and future perspectives. PLoS One 6: e18093. 21483869 PMC3069049
  4. [4]Ogdenw TH, Rosenberg MS (2006) Multiple sequence alignment accuracy and phylogenetic inference. Syst Biol 55: 314– 328. 16611602
  5. [5]Hartmann S, Vision TJ (2008) Using ESTs for phylogenomics: can one accurately infer a phylogenetic tree from a gappy alignment? BMC Evol Biol 8: 95. 18366758 PMC2359737
  6. [6]Cantarel BL, Morrison HG, Pearson W (2006) Exploring the relationship between sequence similarity and accurate phylogenetic trees. Mol Biol Evol 23: 2090– 2100. 16891377
  7. [7]Dwivedi B, Gadagkar SR (2009) Phylogenetic inference under varying proportions of indel-induced alignment gaps. BMC Evol Biol 9: 211. 19698168 PMC2746219
  8. [8]Howe K, Bateman A, Durbin R (2002) QuickTree: building huge Neighbour-Joining trees of protein sequences. Bioinformatics 18: 1546– 1547. 12424131
  9. [9]Desper R, Gascuel O (2002) Fast and accurate phylogeny reconstruction algorithms based on the minimum-evolution principle. J Comput Biol 9: 687– 705. 12487758
  10. [10]Stamatakis A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22: 2688– 2690. 16928733
  11. [11]Huelsenbeck JP, Ronquist F (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754– 755. 11524383
  12. [12]Novak A, Miklos I, Lyngso R, Hein J (2008) StatAlign: an extendable software package for joint Bayesian estimation of alignments and evolutionary trees. Bioinformatics 24: 2403– 2404. 18753153
  13. [13]Liu K, Raghavan S, Nelesen S, Linder CR, Warnow T (2009) Rapid and accurate large-scale coestimation of sequence alignments and phylogenetic trees. Science 324: 1561– 1564. 19541996
  14. [14]Suchard MA, Redelings BD (2006) BAli-Phy: simultaneous Bayesian inference of alignment and phylogeny. Bioinformatics 22: 2047– 2048. 16679334
  15. [15]Hagopian R, Davidson JR, Datta RS, Samad B, Jarvis GR, et al (2010) SATCHMO-JS: a webserver for simultaneous protein multiple sequence alignment and phylogenetic tree construction. Nucleic Acids Res 38: W29– 34. 20430824 PMC2896197
  16. [16]Yona G, Linial N, Linial M (2000) ProtoMap: automatic classification of protein sequences and hierarchy of protein families. Nucleic Acids Res 28: 49– 55. 10592179 PMC102438
  17. [17]Kriventseva EV, Servant F, Apweiler R (2003) Improvements to CluSTr: the database of SWISS-PROT+TrEMBL protein clusters. Nucleic Acids Res 31: 388– 389. 12520029 PMC165482
  18. [18]Kelil A, Wang S, Brzezinski R, Fleury A (2007) CLUSS: clustering of protein sequences based on a new similarity measure. BMC Bioinformatics 8: 286. 17683581 PMC1976428
  19. [19]Enright AJ, Van Dongen S, Ouzounis CA (2002) An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res 30: 1575– 1584. 11917018 PMC101833
  20. [20]Jothi R, Zotenko E, Tasneem A, Przytycka TM (2006) COCO-CL: hierarchical clustering of homology relations based on evolutionary correlations. Bioinformatics 22: 779– 788. 16434444 PMC1620014
  21. [21]Liu X, Wan L, Li J, Reinert G, Waterman MS, et al (2011) New powerful statistics for alignment-free sequence comparison under a pattern transfer model. J Theor Biol 284: 106– 116. 21723298 PMC3146591
  22. [22]Reinert G, Chew D, Sun F, Waterman MS (2009) Alignment-free sequence comparison (I): statistics and power. J Comput Biol 16: 1615– 1634. 20001252 PMC2818754
  23. [23]Vinga S, Almeida J (2003) Alignment-free sequence comparison-a review. Bioinformatics 19: 513– 523. 12611807
  24. [24]Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, et al (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25: 3389– 3402. 9254694 PMC146917
  25. [25]Lake JA, Servin JA, Herbold CW, Skophammer RG (2008) Evidence for a new root of the tree of life. Syst Biol 57: 835– 843. 19085327
  26. [26]Walter R (1976) Principles of Mathematical Analysis. New York: McGraw-Hill.
  27. [27]Loewenstein Y, Portugaly E, Fromer M, Linial M (2008) Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space. Bioinformatics 24: i41– 49. 18586742 PMC2718652
  28. [28]Price MN, Dehal PS, Arkin AP (2009) FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol 26: 1641– 1650. 19377059 PMC2693737
  29. [29]Price MN, Dehal PS, Arkin AP (2010) FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One 5: e9490. 20224823 PMC2835736
  30. [30]Tatusov RL, Fedorova ND, Jackson JD, Jacobs AR, Kiryutin B, et al (2003) The COG database: an updated version includes eukaryotes. BMC Bioinformatics 4: 41. 12969510 PMC222959
  31. [31]Sukumaran J, Holder MT (2010) DendroPy: a Python library for phylogenetic computing. Bioinformatics 26: 1569– 1571. 20421198
  32. [33]Katoh K, Kuma K, Miyata T, Toh H (2005) Improvement in the accuracy of multiple sequence alignment program MAFFT. Genome Inform 16: 22– 33. 16362903
  33. [34]Talavera G, Castresana J (2007) Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst Biol 56: 564– 577. 17654362
  34. [35]Kelly S (2010) Archaeal phylogenomics provides evidence in support of a methanogenic origin of the Archaea and a thaumarchaeal origin for the eukaryotes. Philos Trans R Soc Lond B Biol Sci PMC3049024 20880885
  35. [36]Piaggio-Talice R, Burleigh G, Eulenstein O (2004) Quartet Supertrees:. In: Bininda-Edmonds ORP, editor. Phylogenetic Supertrees: Combining Information to Reveal the Tree of Life: Springer. pp. 173–191.
  36. [37]Holland B, Conner G, Huber K, Moulton V (2007) Imputing supertrees and supernetworks from quartets. Syst Biol 56: 57– 67. 17366137
  37. [38]Guindon S, Gascuel O (2003) A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol 52: 696– 704. 14530136
  38. [39]Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32: 1792– 1797. 15034147 PMC390337
  39. [40]Dessimoz C, Gil M (2010) Phylogenetic assessment of alignments reveals neglected tree signal in gaps. Genome Biol 11: R37. 20370897 PMC2884540
  40. [41]Jordan G, Goldman N (2012) The effects of alignment error and alignment filtering on the sitewise detection of positive selection. Mol Biol Evol 29: 1125– 1139. 22049066

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Sorted by citations

Authors
Kelly, S., & Maini, P. K.
Affiliations
University of Oxford (GB)
Corresponding author
Kelly, Steven
Venue
PLoS ONE
Published
2013-03-15
Volume
8
Issue
3
Pages
e58537
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2074432684
Cited by
73
References
0
Citations by year
2026: 11 · 2025: 10 · 2024: 12 · 2023: 8 · 2022: 10 · 2021: 11 · 2020: 3 · 2019: 2 · 2018: 3 · 2016: 1 · 2015: 2
FWCI
0.38
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by)
Funders
  • Directorate for Biological Sciences
  • Biotechnology and Biological Sciences Research Council (BB/D020190/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
phylogenetic inference, BLAST, protein sequences, genome-scale phylogenomics, web application
MeSH terms
Algorithms, Archaea, Phylogeny, Software, Sequence Alignment, Evolution, Molecular, Archaeal Proteins, Internet, Sequence Analysis, Protein

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