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Li M, An H, Angelovici R, Bagaza C, Batushansky A, Clark L, Coneva V, Donoghue MJ, Edwards E, Fajardo D, Fang H, Frank MH, Gallaher T, Gebken S, Hill T, Jansky S, Kaur B, Klahs PC, Klein LL, Kuraparthy V, Londo J, Migicovsky Z, Miller A, Mohn R, Myles S, Otoni WC, Pires JC, Rieffer E, Schmerler S, Spriggs E, Topp CN, Van Deynze A, Zhang K, Zhu L, Zink BM, Chitwood DH. Topological Data Analysis as a Morphometric Method: Using Persistent Homology to Demarcate a Leaf Morphospace. Front Plant Sci 2018; 9:553. [PMID: 29922307 PMCID: PMC5996898 DOI: 10.3389/fpls.2018.00553] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 04/09/2018] [Indexed: 05/18/2023]
Abstract
Current morphometric methods that comprehensively measure shape cannot compare the disparate leaf shapes found in seed plants and are sensitive to processing artifacts. We explore the use of persistent homology, a topological method applied as a filtration across simplicial complexes (or more simply, a method to measure topological features of spaces across different spatial resolutions), to overcome these limitations. The described method isolates subsets of shape features and measures the spatial relationship of neighboring pixel densities in a shape. We apply the method to the analysis of 182,707 leaves, both published and unpublished, representing 141 plant families collected from 75 sites throughout the world. By measuring leaves from throughout the seed plants using persistent homology, a defined morphospace comparing all leaves is demarcated. Clear differences in shape between major phylogenetic groups are detected and estimates of leaf shape diversity within plant families are made. The approach predicts plant family above chance. The application of a persistent homology method, using topological features, to measure leaf shape allows for a unified morphometric framework to measure plant form, including shapes, textures, patterns, and branching architectures.
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Affiliation(s)
- Mao Li
- Donald Danforth Plant Science Center, St. Louis, MO, United States
| | - Hong An
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Ruthie Angelovici
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Clement Bagaza
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Albert Batushansky
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Lynn Clark
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, United States
| | - Viktoriya Coneva
- Donald Danforth Plant Science Center, St. Louis, MO, United States
| | - Michael J. Donoghue
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States
| | - Erika Edwards
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, United States
| | - Diego Fajardo
- National Center for Genome Resources (NCGR), Santa Fe, NM, United States
| | - Hui Fang
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | | | - Timothy Gallaher
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, United States
| | - Sarah Gebken
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Theresa Hill
- Department of Plant Sciences, University of California, Davis, Davis, CA, United States
| | - Shelley Jansky
- Vegetable Crops Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Madison, WI, United States
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, United States
| | - Baljinder Kaur
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Phillip C. Klahs
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, United States
| | - Laura L. Klein
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Vasu Kuraparthy
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Jason Londo
- Grape Genetics Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Geneva, NY, United States
| | - Zoë Migicovsky
- Department of Plant, Food, and Environmental Sciences, Dalhousie University, Truro, NS, Canada
| | - Allison Miller
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Rebekah Mohn
- Department of Plant and Microbial Biology, University of Minnesota – Twin Cities, St. Paul, MN, United States
| | - Sean Myles
- Department of Plant, Food, and Environmental Sciences, Dalhousie University, Truro, NS, Canada
| | - Wagner C. Otoni
- Departamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Brazil
| | - J. C. Pires
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Edmond Rieffer
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Sam Schmerler
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, United States
- American Museum of Natural History, New York, NY, United States
| | - Elizabeth Spriggs
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States
| | | | - Allen Van Deynze
- Department of Plant Sciences, University of California, Davis, Davis, CA, United States
| | - Kuang Zhang
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Linglong Zhu
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Braden M. Zink
- Division of Biological Sciences, University of Missouri, Columbia, MO, United States
| | - Daniel H. Chitwood
- Independent Researcher, Santa Rosa, CA, United States
- Department of Horticulture, Michigan State University, East Lansing, MI, United States
- Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
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Abella SR, Schetter TA, Menard KS, Ziegler ED, Sprow LA, Gallaher T, Jaeger JF, Walters TL. Conserving Large Oaks and Recruitment Potential while Restoring Midwestern Savanna and Woodland. The American Midland Naturalist 2017. [DOI: 10.1674/0003-0031-177.2.309] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Scott R. Abella
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada 89154-4004 and Natural Resource Conservation LLC, 1400 Colorado Street, Boulder City, Nevada 89005
| | | | - Karen S. Menard
- Metroparks of the Toledo Area, 5100 West Central Avenue, Toledo, Ohio 43615
| | - Emily D. Ziegler
- Metroparks of the Toledo Area, 5100 West Central Avenue, Toledo, Ohio 43615
| | - Larae A. Sprow
- Metroparks of the Toledo Area, 5100 West Central Avenue, Toledo, Ohio 43615
| | - Timothy Gallaher
- Metroparks of the Toledo Area, 5100 West Central Avenue, Toledo, Ohio 43615
| | - John F. Jaeger
- Arc of Appalachia Preserve System, 7660 Cave Road, Bainbridge, Ohio 45612
| | - Timothy L. Walters
- EnviroScience, Inc., Northwest Ohio Field Office, 6027 County Road 1, Swanton, Ohio 43558
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Blanton M, McCardy E, Gallaher T, Wang HH. Noncompetitive inhibitors reach their binding site in the acetylcholine receptor by two different paths. Mol Pharmacol 1988; 33:634-42. [PMID: 3380079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Electron spin resonance was used to contrast the accessibility of tertiary and quaternary local anesthetics to their high affinity binding site in the desensitized acetylcholine receptor (AChR). The time dependence of agonist addition on the association of spin-labeled local anesthetics with the nicotinic AChR-enriched membranes from Torpedo californica was studied. Preincubation of AChR-enriched membranes with agonist for more than a few minutes before the addition of C6SLMel, a quaternary amine local anesthetic, resulted in substantial reduction in the initial association of the label with the receptor. The time-dependent reduction in the initial association of the label with the receptor is modeled by an exponential function having a rate constant of approximately 0.2 min-1. In contrast, agonist preincubation did not produce a comparable decrease in the association of C6SL, a tertiary amine analog, with the AChR. These findings show that whereas the affinity of either anesthetic for the AChR is dependent on the presence of agonist, for C6SLMel the timing of agonist addition is an important factor in determining the rate of anesthetic association with the receptor. Our results are concerned with the desensitized receptor at an early phase, when the average open-channel time limits the anesthetic binding to the receptor. We interpret our results by a model in which the cationic local anesthetic reaches its high affinity binding site in the receptor by an aqueous path that is accessible only when the channel is open. On the other hand, anesthetic in its uncharged form is not restricted only to the aqueous path of access. An additional path, probably through the lipid bilayer, allows uncharged forms of anesthetics to reach the high affinity binding site in the AChR even when the aqueous path is closed. During the "open state" of the receptor both cationic and uncharged anesthetics have access to the high affinity site through the aqueous path. However, after this open state, the channel opens only intermittently. The rapidly decreasing open time results in the time-dependent reduction in the binding of cationic anesthetics. This model is consistent with the open channel hypothesis of anesthetic binding to the AChR immediately after agonist stimulation; however, our model also includes an additional hydrophobic path of access for uncharged and reversibly charged anesthetics.
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Affiliation(s)
- M Blanton
- Department of Biology, University of California, Santa Cruz 95064
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