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2009 VOSS AND JANSA: DIDELPHID MARSUPIALS 65<br />

Location b<br />

TABLE 10<br />

Biological Properties <strong>of</strong> Genetic Loci Sequenced for This Study a<br />

GC (versus AT) content, is now widely<br />

recognized as a potential problem for <strong>phylogenetic</strong><br />

inference (see literature reviewed by<br />

Gruber et al., 2007). Of the five genes<br />

analyzed herein, BRCA1 <strong>and</strong> DMP1 exhibit<br />

the lowest overall GC content (fig. 26). For<br />

BRCA1, GC content at all codon positions is<br />

remarkably consistent across taxa. However,<br />

GC content at third codon positions (GC 3)<strong>of</strong><br />

DMP1 is substantially higher in two taxa<br />

(Hyladelphys <strong>and</strong> Tlacuatzin) than it is in<br />

other <strong>didelphid</strong>s (Jansa <strong>and</strong> Voss, 2005). As<br />

reported elsewhere, third codon positions <strong>of</strong><br />

RAG1 are so highly variable in GC content<br />

among <strong>didelphid</strong>s that plausible <strong>phylogenetic</strong><br />

results cannot be recovered from datasets<br />

that include these positions (Gruber et al.,<br />

2007); therefore, only first <strong>and</strong> second codon<br />

positions <strong>of</strong> RAG1 are analyzed below. The<br />

GC content <strong>of</strong> vWF is most similar to that <strong>of</strong><br />

RAG1, but vWF does not exhibit the<br />

exceptionally high taxonomic variation in<br />

GC 3 seen in the latter gene. Compared to the<br />

other loci, IRBP has relatively high GC<br />

content at all codon positions, with one<br />

taxon (Cryptonanus chacoensis) exhibiting<br />

elevated GC content at first <strong>and</strong> second<br />

codon positions.<br />

Additional sequence characteristics can be<br />

effectively summarized in the context <strong>of</strong><br />

model fitting (Posada <strong>and</strong> Cr<strong>and</strong>all, 1998).<br />

The best-fitting model <strong>of</strong> nucleotide substitution<br />

for each gene is either a general-timereversible<br />

(GTR) model or a modification<br />

there<strong>of</strong> (TVMef) that assumes equal base<br />

frequencies <strong>and</strong> equal transition rates (table<br />

11). In addition, the best-fitting model for<br />

each gene includes among-site rate heterogeneity<br />

as approximated by a gamma distribu-<br />

Gene Protein product<br />

Active in Location Primary function<br />

BRCA1 chr 2 many tissues nucleus & cytoplasm tumor suppression<br />

DMP1 chr 5 dentine & bone extracellular mineralization<br />

IRBP chr 1 retina extracellular photoreception<br />

RAG1 chr 5 developing B & T lymphocytes nucleus immune response<br />

vWF chr 8 endothelium & megakaryocytes extracellular blood clotting<br />

a As indicated primarily by research on humans <strong>and</strong> other placental taxa (see references cited in text).<br />

b Chromosome number in Monodelphis domestica genome.<br />

tion (C), <strong>and</strong> a proportion <strong>of</strong> invariant sites<br />

(p inv) applies to three genes. Fitted basecompositional<br />

parameters (pA, pC, pG, pT)<br />

for GTR-modeled loci are relatively even for<br />

IRBP, slightly skewed towards A for the<br />

RAG1 partition, strongly skewed towards A<br />

for BRCA1, <strong>and</strong> strongly biased towards A<br />

<strong>and</strong> G for DMP1. All five genes exhibit<br />

higher rates <strong>of</strong> transitions than transversions;<br />

in addition, first <strong>and</strong> second positions <strong>of</strong><br />

RAG1 exhibit a relatively high rate <strong>of</strong> A-to-C<br />

transversions. The degree <strong>of</strong> among-site rate<br />

heterogeneity was lowest for BRCA1 (a<br />

51.48), <strong>and</strong> highest for the RAG1 partition<br />

(a 5 0.41).<br />

PHYLOGENETIC RELATIONSHIPS<br />

The six data partitions recognized herein<br />

(nonmolecular characters plus nucleotide<br />

sequences from five loci) were analyzed<br />

separately <strong>and</strong> in combination to explore<br />

relevant patterns <strong>of</strong> support for monophyletic<br />

groups. To assess the sensitivity <strong>of</strong> our<br />

results to missing data <strong>and</strong> to different<br />

analytic methods, we conducted MP <strong>and</strong><br />

Bayesian analyses <strong>of</strong> the nonmolecular data<br />

with <strong>and</strong> without Chacodelphys (4 analyses);<br />

MP, ML, <strong>and</strong> Bayesian analyses <strong>of</strong> each<br />

single-gene dataset (15 analyses); MP, ML,<br />

<strong>and</strong> Bayesian analyses <strong>of</strong> a concatenatedgene<br />

dataset (3 analyses); <strong>and</strong> MP, ML, <strong>and</strong><br />

Bayesian analyses <strong>of</strong> a combined (nonmolecular<br />

+ molecular) dataset with <strong>and</strong> without<br />

Chacodelphys (6 analyses). Given the complexity<br />

<strong>of</strong> these results (a total <strong>of</strong> 28 separate<br />

analyses), the following accounts are focused<br />

on issues <strong>of</strong> generic monophyly <strong>and</strong> on<br />

higher-level (intergeneric) <strong>relationships</strong> among

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