6 research outputs found

    A bi‐organellar phylogenomic study of Pandanales: inference of higher‐order relationships and unusual rate‐variation patterns

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    We used a bi‐organellar phylogenomic approach to address higher‐order relationships in Pandanales, including the first molecular phylogenetic study of the panama‐hat family, Cyclanthaceae. Our genus‐level study of plastid and mitochondrial gene sets includes a comprehensive sampling of photosynthetic lineages across the order, and provides a framework for investigating clade ages, biogeographic hypotheses and organellar molecular evolution. Using multiple inference methods and both organellar genomes, we recovered mostly congruent and strongly supported relationships within and between families, including the placement of fully mycoheterotrophic Triuridaceae. Cyclanthaceae and Pandanaceae plastomes have slow substitution rates, contributing to weakly supported plastid‐based relationships in Cyclanthaceae. While generally slowly evolving, mitochondrial genomes exhibit sporadic rate elevation across the order. However, we infer well‐supported relationships even for slower evolving mitochondrial lineages in Cyclanthaceae. Clade age estimates across photosynthetic lineages are largely consistent with previous studies, are well correlated between the two organellar genomes (with slightly younger inferences from mitochondrial data), and support several biogeographic hypotheses. We show that rapidly evolving non‐photosynthetic lineages may bias age estimates upwards at neighbouring photosynthetic nodes, even using a relaxed clock model. Finally, we uncovered new genome structural variants in photosynthetic taxa at plastid inverted repeat boundaries that show promise as interfamilial phylogenetic markers.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/33/cla12417-sup-0025-TableS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/32/cla12417-sup-0017-FigS17.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/31/cla12417-sup-0004-FigS4.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/30/cla12417-sup-0019-FigS19.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/29/cla12417-sup-0020-FigS20.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/28/cla12417_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/27/cla12417-sup-0005-FigS5.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/26/cla12417-sup-0012-FigS12.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/25/cla12417-sup-0007-FigS7.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/24/cla12417-sup-0022-FigS22.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/23/cla12417-sup-0029-TableS5.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/22/cla12417-sup-0010-FigS10.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/21/cla12417-sup-0011-FigS11.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/20/cla12417-sup-0014-FigS14.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/19/cla12417-sup-0002-FigS2.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/18/cla12417-sup-0001-FigS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/17/cla12417.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/16/cla12417-sup-0030-TableS6.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/15/cla12417-sup-0021-FigS21.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/14/cla12417-sup-0023-FigS23.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/13/cla12417-sup-0009-FigS9.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/12/cla12417-sup-0031-TableS7.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/11/cla12417-sup-0006-FigS6.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/10/cla12417-sup-0003-FigS3.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/9/cla12417-sup-0024-FigS24.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/8/cla12417-sup-0008-FigS8.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/7/cla12417-sup-0028-TableS4.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/6/cla12417-sup-0016-FigS16.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/5/cla12417-sup-0013-FigS13.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/4/cla12417-sup-0018-FigS18.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/3/cla12417-sup-0026-TableS2.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/2/cla12417-sup-0015-FigS15.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162810/1/cla12417-sup-0027-TableS3.pd

    The biogeographical history of the interaction between mycoheterotrophic Thismia (Thismiaceae) plants and mycorrhizal Rhizophagus (Glomeraceae) fungi

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    © 2017 The Authors. Journal of Biogeography Published by John Wiley  &  Sons Ltd. Aim: Achlorophyllous mycoheterotrophic plants and mycorrhizal fungi often have highly specific interactions that potentially limit the plants’ distribution and diversification potential. However, specificity in biotic interactions may differ considerably over a species’ distribution range and therefore interactions need to be studied over their entire range to assess their evolution in space and time. The present study investigates the biogeographical history of the interaction between five closely related mycoheterotrophic Thismia species and arbuscular mycorrhizal fungi over the distribution range of the plant species. Location: Temperate south-east Australia and New Zealand. Methods: Phylogenetic relationships of Thismia (nrITS and mtcob) and their arbuscular mycorrhizal fungi (partial nrSSU) were reconstructed based on data from 65 plant specimens. The diversification times in Thismia were estimated with a Bayesian relaxed clock approach using a Dioscoreales framework (nrSSU, mtatp1, mtmatR, mtnad1 b-c). Ancestral geographical ranges were reconstructed using a maximum likelihood approach. The same approach was used to reconstruct ancestral mycorrhizal associations. Results: Our analysis shows that Thismia plants have highly specific, phylogenetically conserved and evolutionarily persistent interactions with Rhizophagus fungi. Nevertheless, Thismia was able to diversify and radiate recently due to the wide geographical distribution of the host fungi. In addition, we find that although the mycorrhizal interactions of this clade of mycoheterotrophs are strictly bound to a fungal lineage, host switches remain possible. Main conclusions: In this clade of closely related mycoheterotrophs, dependency on highly specific fungal interactions is the result of phylogenetic niche conservatism, acting over at least 12 million years. Nevertheless, plants that are dependent on highly specific fungal interactions have ample opportunities to disperse and radiate over the geographical range of their hosts. Our study highlights the need to link the ecology and evolution of species interactions over broad geographical and evolutionary scales for understanding mycorrhizal interactions.status: publishe

    Evolution of endemismon a young tropical mountain

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    Tropical mountains are hot spots of biodiversity and endemism(1-3), but the evolutionary origins of their unique biotas are poorly understood(4). In varying degrees, local and regional extinction, long-distance colonization, and local recruitment may all contribute to the exceptional character of these communities(5). Also, it is debated whether mountain endemics mostly originate from local lowland taxa, or from lineages that reach the mountain by long-range dispersal from cool localities elsewhere(6). Here we investigate the evolutionary routes to endemism by sampling an entire tropical mountain biota on the 4,095-metre-high Mount Kinabalu in Sabah, East Malaysia. We discover that most of its unique biodiversity is younger than the mountain itself (6 million years), and comprises a mix of immigrant pre-adapted lineages and descendants from local lowland ancestors, although substantial shifts from lower to higher vegetation zones in this latter group were rare. These insights could improve forecasts of the likelihood of extinction and 'evolutionary rescue'(7) in montane biodiversity hot spots under climate change scenarios
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