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      Historical Biogeography and Diversification of Truffles in the Tuberaceae and Their Newly Identified Southern Hemisphere Sister Lineage

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          Abstract

          Truffles have evolved from epigeous (aboveground) ancestors in nearly every major lineage of fleshy fungi. Because accelerated rates of morphological evolution accompany the transition to the truffle form, closely related epigeous ancestors remain unknown for most truffle lineages. This is the case for the quintessential truffle genus Tuber, which includes species with socio-economic importance and esteemed culinary attributes. Ecologically, Tuber spp. form obligate mycorrhizal symbioses with diverse species of plant hosts including pines, oaks, poplars, orchids, and commercially important trees such as hazelnut and pecan. Unfortunately, limited geographic sampling and inconclusive phylogenetic relationships have obscured our understanding of their origin, biogeography, and diversification. To address this problem, we present a global sampling of Tuberaceae based on DNA sequence data from four loci for phylogenetic inference and molecular dating. Our well-resolved Tuberaceae phylogeny shows high levels of regional and continental endemism. We also identify a previously unknown epigeous member of the Tuberaceae – the South American cup-fungus Nothojafnea thaxteri (E.K. Cash) Gamundí. Phylogenetic resolution was further improved through the inclusion of a previously unrecognized Southern hemisphere sister group of the Tuberaceae. This morphologically diverse assemblage of species includes truffle (e.g. Gymnohydnotrya spp.) and non-truffle forms that are endemic to Australia and South America. Southern hemisphere taxa appear to have diverged more recently than the Northern hemisphere lineages. Our analysis of the Tuberaceae suggests that Tuber evolved from an epigeous ancestor. Molecular dating estimates Tuberaceae divergence in the late Jurassic (∼156 million years ago), with subsequent radiations in the Cretaceous and Paleogene. Intra-continental diversification, limited long-distance dispersal, and ecological adaptations help to explain patterns of truffle evolution and biodiversity.

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          The age and diversification of the angiosperms re-revisited.

          • It has been 8 years since the last comprehensive analysis of divergence times across the angiosperms. Given recent methodological improvements in estimating divergence times, refined understanding of relationships among major angiosperm lineages, and the immense interest in using large angiosperm phylogenies to investigate questions in ecology and comparative biology, new estimates of the ages of the major clades are badly needed. Improved estimations of divergence times will concomitantly improve our understanding of both the evolutionary history of the angiosperms and the patterns and processes that have led to this highly diverse clade. • We simultaneously estimated the age of the angiosperms and the divergence times of key angiosperm lineages, using 36 calibration points for 567 taxa and a "relaxed clock" methodology that does not assume any correlation between rates, thus allowing for lineage-specific rate heterogeneity. • Based on the analysis for which we set fossils to fit lognormal priors, we obtained an estimated age of the angiosperms of 167-199 Ma and the following age estimates for major angiosperm clades: Mesangiospermae (139-156 Ma); Gunneridae (109-139 Ma); Rosidae (108-121 Ma); Asteridae (101-119 Ma). • With the exception of the age of the angiosperms themselves, these age estimates are generally younger than other recent molecular estimates and very close to dates inferred from the fossil record. We also provide dates for all major angiosperm clades (including 45 orders and 335 families [208 stem group age only, 127 both stem and crown group ages], sensu APG III). Our analyses provide a new comprehensive source of reference dates for major angiosperm clades that we hope will be of broad utility.
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            PyEvolve: a toolkit for statistical modelling of molecular evolution

            Background Examining the distribution of variation has proven an extremely profitable technique in the effort to identify sequences of biological significance. Most approaches in the field, however, evaluate only the conserved portions of sequences – ignoring the biological significance of sequence differences. A suite of sophisticated likelihood based statistical models from the field of molecular evolution provides the basis for extracting the information from the full distribution of sequence variation. The number of different problems to which phylogeny-based maximum likelihood calculations can be applied is extensive. Available software packages that can perform likelihood calculations suffer from a lack of flexibility and scalability, or employ error-prone approaches to model parameterisation. Results Here we describe the implementation of PyEvolve, a toolkit for the application of existing, and development of new, statistical methods for molecular evolution. We present the object architecture and design schema of PyEvolve, which includes an adaptable multi-level parallelisation schema. The approach for defining new methods is illustrated by implementing a novel dinucleotide model of substitution that includes a parameter for mutation of methylated CpG's, which required 8 lines of standard Python code to define. Benchmarking was performed using either a dinucleotide or codon substitution model applied to an alignment of BRCA1 sequences from 20 mammals, or a 10 species subset. Up to five-fold parallel performance gains over serial were recorded. Compared to leading alternative software, PyEvolve exhibited significantly better real world performance for parameter rich models with a large data set, reducing the time required for optimisation from ~10 days to ~6 hours. Conclusion PyEvolve provides flexible functionality that can be used either for statistical modelling of molecular evolution, or the development of new methods in the field. The toolkit can be used interactively or by writing and executing scripts. The toolkit uses efficient processes for specifying the parameterisation of statistical models, and implements numerous optimisations that make highly parameter rich likelihood functions solvable within hours on multi-cpu hardware. PyEvolve can be readily adapted in response to changing computational demands and hardware configurations to maximise performance. PyEvolve is released under the GPL and can be downloaded from .
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              One hundred and seventeen clades of euagarics.

              This study provides a first broad systematic treatment of the euagarics as they have recently emerged in phylogenetic systematics. The sample consists of 877 homobasidiomycete taxa and includes approximately one tenth (ca. 700 species) of the known number of species of gilled mushrooms that were traditionally classified in the order Agaricales. About 1000 nucleotide sequences at the 5(') end of the nuclear large ribosomal subunit gene (nLSU) were produced for each taxon. Phylogenetic analyses of nucleotide sequence data employed unequally weighted parsimony and bootstrap methods. Clades revealed by the analyses support the recognition of eight major groups of homobasidiomycetes that cut across traditional lines of classification, in agreement with other recent phylogenetic studies. Gilled fungi comprise the majority of species in the euagarics clade. However, the recognition of a monophyletic euagarics results in the exclusion from the clade of several groups of gilled fungi that have been traditionally classified in the Agaricales and necessitates the inclusion of several clavaroid, poroid, secotioid, gasteroid, and reduced forms that were traditionally classified in other basidiomycete orders. A total of 117 monophyletic groups (clades) of euagarics can be recognized on the basis on nLSU phylogeny. Though many clades correspond to traditional taxonomic groups, many do not. Newly discovered phylogenetic affinities include for instance relationships of the true puffballs (Lycoperdales) with Agaricaceae, of Panellus and the poroid fungi Dictyopanus and Favolaschia with Mycena, and of the reduced fungus Caripia with Gymnopus. Several clades are best supported by ecological, biochemical, or trophic habits rather than by morphological similarities. (c) 2002 Elsevier Science (USA).
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                2 January 2013
                : 8
                : 1
                : e52765
                Affiliations
                [1 ]Deparment of Biology, Duke University, Durham, North Carolina, United States of America
                [2 ]University of Minnesota, Department of Plant Biology, St. Paul, Minnesota, United States of America
                [3 ]Instituto Tecnológico de Ciudad Victoria, Tamaulipas, México
                [4 ]Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, United States of America
                [5 ]Instituto Multidisciplinario de Biología Vegetal, Córdoba, Argentina
                [6 ]Institute of Ecology and Earth Sciences and the Natural History Museum of Tartu University, Tartu, Estonia
                [7 ]Institute National de la Recherche Agronomique et Nancy University, Champenoux, France
                [8 ]New Zealand Institute for Plant & Food Research Ltd, Christchurch, New Zealand
                [9 ]Department of Plant Biology, University of Córdoba, Córdoba, Spain
                [10 ]Farlow Herbarium, Harvard University, Cambridge, Massachusetts, United States of America
                [11 ]Department of Natural Environmental Studies, Graduate School of Frontier Science, The University of Tokyo, Chiba, Japan
                [12 ]Dipartimento di Science Agrarie, Università di Bologna, Bologna, Italy
                [13 ]Institute of Systematic Botany, University of Zürich, Zürich, Switzerland
                [14 ]Department of Plant Pathology, University of Florida, Gainesville, Florida, United States of America
                University of California Riverside, United States of America
                Author notes

                Competing Interests: Dr. Yun Wang works at the New Zealand Institute for Plant & Food Research Ltd. The authors confirm that there are no relevant declarations relating to the employment, consultancy, patents, products in development or marketed products. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials. The remaining authors have declared no competing interests.

                Conceived and designed the experiments: GB JT MS RV MN. Performed the experiments: GB MS MN RH. Analyzed the data: GB MS MN. Contributed reagents/materials/analysis tools: RH GG EC AK EN LD LT CM YW BAM DP KN AZ JT. Wrote the paper: GB MS MN LT RV JT LD EN DP KN.

                Article
                PONE-D-11-17749
                10.1371/journal.pone.0052765
                3534693
                23300990
                c1e4d43f-6f6f-4c9c-80ea-ad91f14300ef
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 September 2011
                : 22 November 2012
                Page count
                Pages: 15
                Funding
                This research was supported through NSF award #0641297, REVSYS: Phylogenetic and Revisionary Systematics of North American Truffles (Tuber). Support was also provided by the Friends of the Farlow, which enabled the senior author to conduct research at the Farlow Herbarium. M.E.S. participated via a postdoctoral fellowship from Harvard University Herbaria. D.H.P. received funding from the David Rockefeller Center for Latin American Studies at Harvard University that supported field work in collaboration with M.E.S. Collections and microscopy were enabled by a grant from the Iowa Science Foundation to R.H. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Computational Biology
                Population Genetics
                Effective Population Size
                Ecology
                Ecological Metrics
                Effective Population Size
                Biogeography
                Evolutionary Ecology
                Genetics
                Population Genetics
                Plant Science
                Botany
                Mycology
                Fungi
                Population Biology
                Population Ecology
                Population Genetics

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