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Richard H Ree

Publications and source records attributed to Richard H Ree.

7 recordsLinked to original sources

Linking floral symmetry genes to breeding system evolution.

Understanding the genetic basis of ecologically important traits is a major focus of evolutionary research. Recent advances in molecular genetic techniques should significantly increase our understanding of how regulatory genes function. By contrast, our understanding of the broader macro-evolutionary implications of developmental gene function lags behind. Here we review published data on the floral symmetry gene network (FSGN), and conduct phylogenetic analyses that provide evidence of a link between floral symmetry and breeding systems in angiosperms via dichogamy. Our results suggest that known genes in the FSGN and those yet to be described underlie this association. We posit that the integration of floral symmetry and the roles of other regulatory genes in plant breeding system evolution will provide new insights about macro-evolutionary patterns and processes in flowering plants.

Biological Evolution↗

Evidence for a time-integrated species-area effect on the latitudinal gradient in tree diversity.

The greater area of tropical forest biomes has been proposed as a factor that drives the latitudinal gradient in species diversity by modulating speciation and extinction rates. But speciation and extinction are processes that operate over millions of years, so an adequate test of area's contribution to diversity patterns must take into consideration that biome areas have changed through time in response to climate. Here we correlate estimates of current tree species diversity with a composite parameter integrating area over geological time for each continent's tropical, temperate, and boreal biomes. We find significant positive correlations between current tree diversity and area-time for periods since the Eocene, Oligocene, and Miocene, which we take as evidence for a time-integrated species-area effect on current patterns of species richness across biomes. These results contribute to explanations for why most lineages have tropical origins and why tropical forests are more diverse than extratropical forests.

Biodiversity↗

Major clades of parmelioid lichens (Parmeliaceae, Ascomycota) and the evolution of their morphological and chemical diversity.

Parmelioid lichens comprise about 1500 species and have a worldwide distribution. Numerous species are widely distributed and well known, including important bioindicators for atmospheric pollution. The phylogeny and classification of parmelioid lichens has been a matter of debate for several decades. Previous studies using molecular data have helped to establish hypotheses of the phylogeny of certain clades within this group. In this study, we infer the phylogeny of major clades of parmelioid lichens using DNA sequence data from two nuclear loci and one mitochondrial locus from 145 specimens (117 species) that represent the morphological and chemical diversity in these taxa. Parmelioid lichens are not monophyletic; however, a core group is strongly supported as monophyletic, excluding Arctoparmelia and Melanelia s. str., and including Parmeliopsis and Parmelaria. Within this group, seven well-supported clades are found, but the relationships among them remain unresolved. Stochastic mapping on a MC/MCMC tree sampling was employed to infer the evolution of two morphological and two chemical traits believed to be important for the evolutionary success of these lichens, and have also been used as major characters for classification. The results suggest that these characters have been gained and lost multiple times during the diversification of parmelioid lichens.

Ascomycota↗

Detecting the historical signature of key innovations using stochastic models of character evolution and cladogenesis.

Phylogenetic evidence for biological traits that increase the net diversification rate of lineages (key innovations) is most commonly drawn from comparisons of clade size. This can work well for ancient, unreversed traits and for correlating multiple trait origins with higher diversification rates, but it is less suitable for unique events, recently evolved innovations, and traits that exhibit homoplasy. Here I present a new method for detecting the phylogenetic signature of key innovations that tests whether the evolutionary history of the candidate trait is associated with shorter waiting times between cladogenesis events. The method employs stochastic models of character evolution and cladogenesis and integrates well into a Bayesian framework in which uncertainty in historical inferences (such as phylogenetic relationships) is allowed. Applied to a well-known example in plants, nectar spurs in columbines, the method gives much stronger support to the key innovation hypothesis than previous tests.

Adaptation, Biological↗

A likelihood framework for inferring the evolution of geographic range on phylogenetic trees.

At a time when historical biogeography appears to be again expanding its scope after a period of focusing primarily on discerning area relationships using cladograms, new inference methods are needed to bring more kinds of data to bear on questions about the geographic history of lineages. Here we describe a likelihood framework for inferring the evolution of geographic range on phylogenies that models lineage dispersal and local extinction in a set of discrete areas as stochastic events in continuous time. Unlike existing methods for estimating ancestral areas, such as dispersal-vicariance analysis, this approach incorporates information on the timing of both lineage divergences and the availability of connections between areas (dispersal routes). Monte Carlo methods are used to estimate branch-specific transition probabilities for geographic ranges, enabling the likelihood of the data (observed species distributions) to be evaluated for a given phylogeny and parameterized paleogeographic model. We demonstrate how the method can be used to address two biogeographic questions: What were the ancestral geographic ranges on a phylogenetic tree? How were those ancestral ranges affected by speciation and inherited by the daughter lineages at cladogenesis events? For illustration we use hypothetical examples and an analysis of a Northern Hemisphere plant clade (Cercis), comparing and contrasting inferences to those obtained from dispersal-vicariance analysis. Although the particular model we implement is somewhat simplistic, the framework itself is flexible and could readily be modified to incorporate additional sources of information and also be extended to address other aspects of historical biogeography.

Biological Evolution↗

Heterogeneous selection on LEGCYC paralogs in relation to flower morphology and the phylogeny of Lupinus (Leguminosae).

An analysis of the molecular evolution of two LEGCYC paralogs in Lupinus (Genisteae: Leguminosae) reveals a varied history of site-specific and lineage-specific evolutionary rates and selection both within and between loci. LEGCYC genes are homologous to regulatory loci known to control floral symmetry and adaxial flower organ identity in Antirrhinum and its relatives. Within Lupinus, L. densiflorus is unusual in having flowers with a proportionally smaller standard (upright adaxial petals) and larger wings (lateral petals) than other lupin species. Phylogenetic estimates of the nonsynonymous/synonymous substitution rate ratio, omega, suggest that along the L. densiflorus lineage, positive selection (omega > 1) acted at some codon sites of one paralog, LEGCYC1B, and greater purifying selection (omega < 1) acted at some sites of the other paralog, LEGCYC1A. Overall, LEGCYC1A appears to be evolving faster than LEGCYC1B, and both paralogs are evolving faster than the internal transcribed spacer (ITS) region of nr DNA. The predominant historical pattern inferred is a highly heterogeneous "selectional mosaic" which we suggest may be typical of the teosinte branched 1-cycloidea-PCF (TCP) class of transcriptional activators, and possibly other genes. Codon models that do not account for both site-specific and lineage-specific variation in omega do not detect positive selection at these loci. We suggest a modification of existing branch-site models involving an additional omega parameter along the foreground branch, to account for the effects of both greater positive selection and greater purifying selection at different codon sites along a particular branch. The higher rates of evolution and congruent phylogenetic signal of both LEGCYC paralogs show promise for the use of these genes as markers for phylogeny reconstruction at low taxonomic levels in Genisteae [corrected]

Amino Acid Substitution↗

Obtaining maximal concatenated phylogenetic data sets from large sequence databases.

To improve the accuracy of tree reconstruction, phylogeneticists are extracting increasingly large multigene data sets from sequence databases. Determining whether a database contains at least k genes sampled from at least m species is an NP-complete problem. However, the skewed distribution of sequences in these databases permits all such data sets to be obtained in reasonable computing times even for large numbers of sequences. We developed an exact algorithm for obtaining the largest multigene data sets from a collection of sequences. The algorithm was then tested on a set of 100,000 protein sequences of green plants and used to identify the largest multigene ortholog data sets having at least 3 genes and 6 species. The distribution of sizes of these data sets forms a hollow curve, and the largest are surprisingly small, ranging from 62 genes by 6 species, to 3 genes by 65 species, with more symmetrical data sets of around 15 taxa by 15 genes. These upper bounds to sequence concatenation have important implications for building the tree of life from large sequence databases.

Algorithms↗