Literature DB >> 14739253

Are combined analyses better than single gene phylogenies? A case study using SSU rDNA and rbcL sequence comparisons in the Zygnematophyceae (Streptophyta).

Andrey A Gontcharov1, Birger Marin, Michael Melkonian.   

Abstract

Although the combination of different genes in phylogenetic analyses is a promising approach, the methodology is not well established and analyses often suffer from inadequate, noncongruent taxon sampling, long-branch attraction, or conflicting evolutionary models of the genes analyzed. Conflicts or congruence between multigene and single-gene phylogenies, as well as the assumed superiority of the multigene approach, are often difficult to assess solely because of incongruent taxon sampling. In the present study, a data set of 43 nuclear-encoded SSU rDNA and plastid-encoded rbcL gene sequences was generated from the same strains of conjugating green algae (Zygnematophyceae, Streptophyta). Phylogenetic analyses used the genes individually and in combination, either as concatenated sequences or with the log-likelihood summation method. Single-gene analyses, although mostly congruent, revealed some conflicting nodes and showed different patterns of statistical support. Combined analyses confidently resolved the conflicts between the single-gene analyses, enhanced phylogenetic resolution, and were better supported by morphological information. Long-branch taxa were not the same for the two genes analyzed, and, thus, their effect on phylogenetic resolution was minimized in the combined analyses.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14739253     DOI: 10.1093/molbev/msh052

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  26 in total

1.  Incorporating gene-specific variation when inferring and evaluating optimal evolutionary tree topologies from multilocus sequence data.

Authors:  Tae-Kun Seo; Hirohisa Kishino; Jeffrey L Thorne
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-11       Impact factor: 11.205

2.  The structure and biochemistry of charophycean cell walls: I. Pectins of Penium margaritaceum.

Authors:  D S Domozych; A Serfis; S N Kiemle; M R Gretz
Journal:  Protoplasma       Date:  2006-11-21       Impact factor: 3.356

3.  Whole-proteome phylogeny of prokaryotes by feature frequency profiles: An alignment-free method with optimal feature resolution.

Authors:  Se-Ran Jun; Gregory E Sims; Guohong A Wu; Sung-Hou Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-14       Impact factor: 11.205

4.  Membrane Proteomic Insights into the Physiology and Taxonomy of an Oleaginous Green Microalga.

Authors:  Adriana Garibay-Hernández; Bronwyn J Barkla; Rosario Vera-Estrella; Alfredo Martinez; Omar Pantoja
Journal:  Plant Physiol       Date:  2016-11-08       Impact factor: 8.340

5.  Analyses and localization of pectin-like carbohydrates in cell wall and mucilage of the green alga Netrium digitus.

Authors:  Magdalena Eder; Ursula Lütz-Meindl
Journal:  Protoplasma       Date:  2009-04-02       Impact factor: 3.356

6.  Ancient photosynthetic eukaryote biofilms in an Atacama Desert coastal cave.

Authors:  A Azúa-Bustos; C González-Silva; R A Mancilla; L Salas; R E Palma; J J Wynne; C P McKay; R Vicuña
Journal:  Microb Ecol       Date:  2009-03-05       Impact factor: 4.552

7.  Hidden genetic diversity in the green alga Spirogyra (Zygnematophyceae, Streptophyta).

Authors:  Charlotte Chen; Michael H J Barfuss; Thomas Pröschold; Michael Schagerl
Journal:  BMC Evol Biol       Date:  2012-06-01       Impact factor: 3.260

8.  Context-dependent codon partition models provide significant increases in model fit in atpB and rbcL protein-coding genes.

Authors:  Guy Baele; Yves Van de Peer; Stijn Vansteelandt
Journal:  BMC Evol Biol       Date:  2011-05-27       Impact factor: 3.260

9.  A microbial eukaryote with a unique combination of purple bacteria and green algae as endosymbionts.

Authors:  Sergio A Muñoz-Gómez; Martin Kreutz; Sebastian Hess
Journal:  Sci Adv       Date:  2021-06-11       Impact factor: 14.136

10.  The tree of genomes: an empirical comparison of genome-phylogeny reconstruction methods.

Authors:  Angela McCann; James A Cotton; James O McInerney
Journal:  BMC Evol Biol       Date:  2008-11-12       Impact factor: 3.260

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.