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      RADseq dataset with 90% missing data fully resolves recent radiation of Petalidium (Acanthaceae) in the ultra‐arid deserts of Namibia

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          Abstract

          Deserts, even those at tropical latitudes, often have strikingly low levels of plant diversity, particularly within genera. One remarkable exception to this pattern is the genus Petalidium (Acanthaceae), in which 37 of 40 named species occupy one of the driest environments on Earth, the Namib Desert of Namibia and neighboring Angola. To contribute to understanding this enigmatic diversity, we generated RADseq data for 47 accessions of Petalidium representing 22 species. We explored the impacts of 18 different combinations of assembly parameters in de novo assembly of the data across nine levels of missing data plus a best practice assembly using a reference Acanthaceae genome for a total of 171 sequence datasets assembled. RADseq data assembled at several thresholds of missing data, including 90% missing data, yielded phylogenetic hypotheses of Petalidium that were confidently and nearly fully resolved, which is notable given that divergence time analyses suggest a crown age for African species of 3.6–1.4 Ma. De novo assembly of our data yielded the most strongly supported and well‐resolved topologies; in contrast, reference‐based assembly performed poorly, perhaps due in part to moderate phylogenetic divergence between the reference genome, Ruellia speciosa, and the ingroup. Overall, we found that Petalidium, despite the harshness of the environment in which species occur, shows a net diversification rate (0.8–2.1 species per my) on par with those of diverse genera in tropical, Mediterranean, and alpine environments.

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          Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography.

          A latitudinal gradient in biodiversity has existed since before the time of the dinosaurs, yet how and why this gradient arose remains unresolved. Here we review two major hypotheses for the origin of the latitudinal diversity gradient. The time and area hypothesis holds that tropical climates are older and historically larger, allowing more opportunity for diversification. This hypothesis is supported by observations that temperate taxa are often younger than, and nested within, tropical taxa, and that diversity is positively correlated with the age and area of geographical regions. The diversification rate hypothesis holds that tropical regions diversify faster due to higher rates of speciation (caused by increased opportunities for the evolution of reproductive isolation, or faster molecular evolution, or the increased importance of biotic interactions), or due to lower extinction rates. There is phylogenetic evidence for higher rates of diversification in tropical clades, and palaeontological data demonstrate higher rates of origination for tropical taxa, but mixed evidence for latitudinal differences in extinction rates. Studies of latitudinal variation in incipient speciation also suggest faster speciation in the tropics. Distinguishing the roles of history, speciation and extinction in the origin of the latitudinal gradient represents a major challenge to future research.
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            Stampy: a statistical algorithm for sensitive and fast mapping of Illumina sequence reads.

            High-volume sequencing of DNA and RNA is now within reach of any research laboratory and is quickly becoming established as a key research tool. In many workflows, each of the short sequences ("reads") resulting from a sequencing run are first "mapped" (aligned) to a reference sequence to infer the read from which the genomic location derived, a challenging task because of the high data volumes and often large genomes. Existing read mapping software excel in either speed (e.g., BWA, Bowtie, ELAND) or sensitivity (e.g., Novoalign), but not in both. In addition, performance often deteriorates in the presence of sequence variation, particularly so for short insertions and deletions (indels). Here, we present a read mapper, Stampy, which uses a hybrid mapping algorithm and a detailed statistical model to achieve both speed and sensitivity, particularly when reads include sequence variation. This results in a higher useable sequence yield and improved accuracy compared to that of existing software.
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              Butterflies and Plants: A Study in Coevolution

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                Author and article information

                Contributors
                erin.tripp@colorado.edu
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                30 August 2017
                October 2017
                : 7
                : 19 ( doiID: 10.1002/ece3.2017.7.issue-19 )
                : 7920-7936
                Affiliations
                [ 1 ] Department of Ecology & Evolutionary Biology UCB 334 University of Colorado Boulder CO USA
                [ 2 ] Museum of Natural History UCB 350 University of Colorado Boulder CO USA
                [ 3 ] School of GeoSciences University of Edinburgh Edinburgh UK
                [ 4 ] Royal Botanic Garden Edinburgh Edinburgh UK
                Author notes
                [*] [* ] Correspondence

                Erin A. Tripp, Department of Ecology & Evolutionary Biology, UCB 334, University of Colorado, Boulder, CO, USA.

                Email: erin.tripp@ 123456colorado.edu

                Author information
                http://orcid.org/0000-0001-9340-8723
                Article
                ECE33274
                10.1002/ece3.3274
                5632676
                29043045
                d0197b99-9096-46e4-9ba7-b376e50c35c1
                © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 April 2017
                : 16 June 2017
                : 20 June 2017
                Page count
                Figures: 9, Tables: 3, Pages: 17, Words: 12798
                Funding
                Funded by: National Science Foundation
                Award ID: CNS‐0821794
                Award ID: 0919594
                Award ID: 1354963 & 1355138
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece33274
                October 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.1 mode:remove_FC converted:08.10.2017

                Evolutionary Biology
                de novo assembly,desert,radseq,reference‐based assembly,speciation,stacks
                Evolutionary Biology
                de novo assembly, desert, radseq, reference‐based assembly, speciation, stacks

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