Taxonomical and distributional notes on Polylepis (Rosaceae)

AbstractPolylepis pacensis M. Kessler & Schmidt-Leb. spec. nov. is described; P. flavipila (Bitter) M. Kessler & Schmidt-Leb., P. incarum (Bitter) M. Kessler & Schmidt-Leb., P. lanata (Kuntze) M. Kessler & Schmidt-Leb., and P. subtusalbida (Bitter) M. Kessler & Schmidt-Leb. are elevated from subspecies or varietal to species rank; P. triacontandra Bitter is reinstated as a species. The accompanying Electronic Supplement provides an updated key to species in Polylepis, and reports extensions to the known distribution ranges of three additional species of the genus.See also Electronic Supplement at: http://www.senckenberg.de/odes/06-01.ht

Species trees from consensus single nucleotide polymorphism (SNP) data: Testing phylogenetic approaches with simulated and empirical data

Datasets of hundreds or thousands of SNPs (Single Nucleotide Polymorphisms) from multiple individuals per species are increasingly used to study population structure, species delimitation and shallow phylogenetics. The principal software tool to infer species or population trees from SNP data is currently the BEAST template SNAPP which uses a Bayesian coalescent analysis. However, it is computationally extremely demanding and tolerates only small amounts of missing data. We used simulated and empirical SNPs from plants (Australian Craspedia, Asteraceae, and Pelargonium, Geraniaceae) to compare species trees produced (1) by SNAPP, (2) using SVD quartets, and (3) using Bayesian and parsimony analysis with several different approaches to summarising data from multiple samples into one set of traits per species. Our aims were to explore the impact of tree topology and missing data on the results, and to test which data summarising and analyses approaches would best approximate the results obtained from SNAPP for empirical data. SVD quartets retrieved the correct topology from simulated data, as did SNAPP except in the case of a very unbalanced phylogeny. Both methods failed to retrieve the correct topology when large amounts of data were missing. Bayesian analysis of species level summary data scoring the two alleles of each SNP as independent characters and parsimony analysis of data scoring each SNP as one character produced trees with branch length distributions closest to the true trees on which SNPs were simulated. For empirical data, Bayesian inference and Dollo parsimony analysis of data scored allele-wise produced phylogenies most congruent with the results of SNAPP. In the case of study groups divergent enough for missing data to be phylogenetically informative (because of additional mutations preventing amplification of genomic fragments or bioinformatic establishment of homology), scoring of SNP data as a presence/absence matrix irrespective of allele content might be an additional option. As this depends on sampling across species being reasonably even and a random distribution of non-informative instances of missing data, however, further exploration of this approach is needed. Properly chosen data summary approaches to inferring species trees from SNP data may represent a potential alternative to currently available individual-level coalescent analyses especially for quick data exploration and when dealing with computationally demanding or patchy datasets.This study was partly supported by a Centre of Biodiversity Analysis Ignition Grant to A.N.S.-L. and Justin Borevitz in 2013/14

There's gold in them thar hills! Morphology and molecules delimit species in Xerochrysum (Asteraceae; Gnaphalieae) and reveal many new taxa

Golden everlasting paper daisies in the genus Xerochrysum Tzvelev are iconic Australian native plants grown worldwide. The X. bracteatum species complex has been regarded as taxonomically confusing and in need of revision for over 60 years. We applied morphological and molecular analyses to delimit species, detect common ancestry among populations, and identify putative hybrids in the genus Xerochrysum (Asteraceae: Gnaphalieae). Multiple lines of evidence provided strong support for the recognition of new taxa. Here we describe the following 11 new species: X. andrewiae T.L.Collins & J.J.Bruhl, X. berarngutta T.L.Collins & I.Telford, X. copelandii J.J.Bruhl & I.Telford, X. frutescens J.J.Bruhl & I.Telford, X. gudang T.L.Collins & J.J.Bruhl, X. hispidum T.L.Collins & I.Telford, X. macsweeneyorum T.L.Collins, X. murapan T.L.Collins & I.Telford, X. neoanglicum J.J.Bruhl & I.Telford, X. strictum T.L.Collins, and X. wilsonii T.L.Collins, reinstate Helichrysum banksii A.Cunn. ex DC. (as X. banksii (A.Cunn. ex DC.) T.L.Collins & I.Telford), lectotypify X. banksii and X. papillosum (Labill.) R.J.Bayer, and recircumscribe X. bicolor (Lindl.) R.J.Bayer to include X. halmaturorum Paul G.Wilson and some populations of X. bracteatum sens. lat. from mainland South Australia and Victoria. We also provide revised descriptions of all taxa in the genus, their conservation status, a dichotomous key, tables distinguishing closely related taxa and distribution maps

Quantifying Phytogeographical Regions of Australia Using Geospatial Turnover in Species Composition

The largest digitized dataset of land plant distributions in Australia assembled to date (750,741 georeferenced herbarium records; 6,043 species) was used to partition the Australian continent into phytogeographical regions. We used a set of six widely distributed vascular plant groups and three non-vascular plant groups which together occur in a variety of landscapes/habitats across Australia. Phytogeographical regions were identified using quantitative analyses of species turnover, the rate of change in species composition between sites, calculated as Simpson's beta. We propose six major phytogeographical regions for Australia: Northern, Northern Desert, Eremaean, Eastern Queensland, Euronotian and South-Western. Our new phytogeographical regions show a spatial agreement of 65% with respect to previously defined phytogeographical regions of Australia. We also confirm that these new regions are in general agreement with the biomes of Australia and other contemporary biogeographical classifications. To assess the meaningfulness of the proposed phytogeographical regions, we evaluated how they relate to broad scale environmental gradients. Physiographic factors such as geology do not have a strong correspondence with our proposed regions. Instead, we identified climate as the main environmental driver. The use of an unprecedentedly large dataset of multiple plant groups, coupled with an explicit quantitative analysis, makes this study novel and allows an improved historical bioregionalization scheme for Australian plants. Our analyses show that: (1) there is considerable overlap between our results and older biogeographic classifications; (2) phytogeographical regions based on species turnover can be a powerful tool to further partition the landscape into meaningful units; (3) further studies using phylogenetic turnover metrics are needed to test the taxonomic areas

Phylogenetic relationships of the Australasian shrubby everlastings Ozothamnus and Cassinia (Asteraceae: Asteroideae: Gnaphalieae)

The first comprehensive phylogenetic study of the Australasian shrubby everlastings Ozothamnus, Cassinia, and their satellite genera is presented based on the nuclear ribosomal external and internal transcribed spacer and three chloroplast spacer region

Evolution of Suessenguthia (Acanthaceae) inferred from morphology, AFLP data, and ITS rDNA sequences

The phylogeny and evolution of Suessenguthia (Acanthaceae), a genus of six species from the Andean foothills and adjacent Amazonia in Bolivia, Peru and western Brazil, are discussed based on morphological and molecular (amplified fragment length polymorphism, ITS rDNA) data. Suessenguthia forms a paraphyletic group at the base of the larger genus Sanchezia.The non-overlapping geographical distribution of closely related species suggests that parapatric or allopatric speciation is the major mode in the genus.A major evolutionary tendency promoting diversification of the group presumably was a change from bee- to hummingbird pollination, resulting in a successive adaptation of flower morphology and inflorescence structure

Non-geographic collecting biases in herbarium specimens of Australian daisies (Asteraceae)

Biological collections are increasingly becoming databased and available for novel types of study. A possible limitation of these data, which has the potential to confound analyses based on them, is their biased composition due to non-random and opportunistic collecting efforts. While geographic biases are comparatively well studied and understood, very little attention has been directed at other potential biases. We used Asteraceae specimen data from Australia’s Virtual Herbarium to test for over- and under-representation of plants with specific morphology, phenology and status by comparing observed numbers of specimens against a null distribution of simulated collections. Strong collecting biases could be demonstrated against introduced plants, plants with green or brown inflorescences, and very small plants. Specimens belonging to species with very restricted areas of distribution were also found to be strongly underrepresented. A moderate bias was observed against plants flowering in summer. While spiny plants have been collected only about half as often as should be expected, much of this bias was due to nearly all of them also being introduced (thistles). When introduced species were analyzed alone, a negative effect of spines remained but was much more moderate. The effect of woody or herbaceous habit, other inflorescence colours, tall growth and size of the capitula was comparatively negligible. Our results indicate that care should be taken when relying on specimen databases or the herbaria themselves for studies examining phenology, resource availability for pollinators, or the distribution and abundance of exotic species, and that researchers should be aware of collecting biases against small and unattractively coloured plants