ABSTRACT--Interest
in the use of low-copy nuclear genes for phylogenetic analyses of
plants
has grown rapidly, because highly repetitive genes such as those
commonly
used are limited in number. Furthermore, because low-copy genes
are
subject to different evolutionary processes than are plastid genes or
highly
repetitive nuclear markers, they provide a valuable source of
independent
phylogenetic evidence. The gene for granule-bound starch synthase
(GBSSI or waxy) exists in a single copy in nearly all plants examined
so
far. Our study of GBSSI has three parts. 1) Amino
acid
sequences were compared across a broad taxonomic range, including
grasses,
four dicotyledons, and the microbial homologues of GBSSI.
Inferred
structural information was used to aid in the alignment of these very
divergent
sequences. The informed alignments highlight amino acids that are
conserved across all sequences, and demonstrate that structural motifs
can be highly conserved in spite of marked divergence in amino acid
sequence.
2) Maximum likelihood analyses were used to examine exon sequence
evolution
throughout grasses. Differences in probabilities among
substitution
types and marked among-site rate variation contribute to the observed
pattern
of variation. Of the parameters examined in our set of likelihood
models, the inclusion of among-site rate variation following a gamma
distribution
causes the greatest improvement in likelihood score. 3) We
performed cladistic parsimony analyses of GBSSI sequences throughout
grasses,
within tribes, and within genera, to examine phylogenetic utility of
the
gene. Introns provide useful information among very closely
related
species, but quickly become difficult to align among more divergent
taxa.
Exons are variable enough to provide extensive resolution within the
family,
but with low bootstrap support. The combined results of amino
acid
sequence comparisons, maximum likelihood analyses, and phylogenetic
studies
underscore factors that might affect phylogenetic reconstruction.
In this case, accommodation of the variable rate of evolution among
sites
might be the first step in maximizing the phylogenetic utility of GBSSI.