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Am J Bot. 2003 Dec;90(12):1758-76. doi: 10.3732/ajb.90.12.1758.

Angiosperm phylogeny based on matK sequence information.

American journal of botany

Khidir W Hilu, Thomas Borsch, Kai Müller, Douglas E Soltis, Pamela S Soltis, Vincent Savolainen, Mark W Chase, Martyn P Powell, Lawrence A Alice, Rodger Evans, Hervé Sauquet, Christoph Neinhuis, Tracey A B Slotta, Jens G Rohwer, Christopher S Campbell, Lars W Chatrou

Affiliations

  1. Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 USA;

PMID: 21653353 DOI: 10.3732/ajb.90.12.1758

Abstract

Plastid matK gene sequences for 374 genera representing all angiosperm orders and 12 genera of gymnosperms were analyzed using parsimony (MP) and Bayesian inference (BI) approaches. Traditionally, slowly evolving genomic regions have been preferred for deep-level phylogenetic inference in angiosperms. The matK gene evolves approximately three times faster than the widely used plastid genes rbcL and atpB. The MP and BI trees are highly congruent. The robustness of the strict consensus tree supercedes all individual gene analyses and is comparable only to multigene-based phylogenies. Of the 385 nodes resolved, 79% are supported by high jackknife values, averaging 88%. Amborella is sister to the remaining angiosperms, followed by a grade of Nymphaeaceae and Austrobaileyales. Bayesian inference resolves Amborella + Nymphaeaceae as sister to the rest, but with weak (0.42) posterior probability. The MP analysis shows a trichotomy sister to the Austrobaileyales representing eumagnoliids, monocots + Chloranthales, and Ceratophyllum + eudicots. The matK gene produces the highest internal support yet for basal eudicots and, within core eudicots, resolves a crown group comprising Berberidopsidaceae/Aextoxicaceae, Santalales, and Caryophyllales + asterids. Moreover, matK sequences provide good resolution within many angiosperm orders. Combined analyses of matK and other rapidly evolving DNA regions with available multigene data sets have strong potential to enhance resolution and internal support in deep level angiosperm phylogenetics and provide additional insights into angiosperm evolution.

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