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Journal articles on the topic 'Spatial genetic structures'

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1

Dupuis, Julian R., Forest T. Bremer, Thibaut Jombart, Sheina B. Sim, and Scott M. Geib. "mvmapper: Interactive spatial mapping of genetic structures." Molecular Ecology Resources 18, no. 2 (2017): 362–67. http://dx.doi.org/10.1111/1755-0998.12724.

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Grzywiński, Maksym, and Jacek Selejdak. "Weight Minimization of Spatial Trusses with Genetic Algorithm." Quality Production Improvement - QPI 1, no. 1 (2019): 238–43. http://dx.doi.org/10.2478/cqpi-2019-0032.

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Abstract A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The eff
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NAMROUD, MARIE-CLAIRE, ANDREW PARK, FRANCINE TREMBLAY, and YVES BERGERON. "Clonal and spatial genetic structures of aspen (Populus tremuloides Michx.)." Molecular Ecology 14, no. 10 (2005): 2969–80. http://dx.doi.org/10.1111/j.1365-294x.2005.02653.x.

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4

Degen, B. "SGS--Spatial Genetic Software: A Computer Program for Analysis of Spatial Genetic and Phenotypic Structures of Individuals and Populations." Journal of Heredity 92, no. 5 (2001): 447–48. http://dx.doi.org/10.1093/jhered/92.5.447.

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5

Xiao, Jian Chun, Jing Chen, Qi Li, and Shao Quan Xia. "Shape and Cross-Section Optimization of Spatial Grid Structures Using Genetic Algorithm." Advanced Materials Research 479-481 (February 2012): 1463–67. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1463.

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The optimization of the structures is difficult because the variables have different physical property or different quantitative attribute. The shape and cross-section optimization of spatial grid structures is performed by an improved genetic algorithm. The constraint conditions are composed of the structural deformation, the stability of the compressive members, the slender ratios, and etc. The treatment of the constraint conditions and the optimization function gives an unconstrained analytic function by adopting Lagrange multipliers. The method enhances the running efficiency of the geneti
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Brickner, Jason. "Genetic and epigenetic control of the spatial organization of the genome." Molecular Biology of the Cell 28, no. 3 (2017): 364–69. http://dx.doi.org/10.1091/mbc.e16-03-0149.

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Eukaryotic genomes are spatially organized within the nucleus by chromosome folding, interchromosomal contacts, and interaction with nuclear structures. This spatial organization is observed in diverse organisms and both reflects and contributes to gene expression and differentiation. This leads to the notion that the arrangement of the genome within the nucleus has been shaped and conserved through evolutionary processes and likely plays an adaptive function. Both DNA-binding proteins and changes in chromatin structure influence the positioning of genes and larger domains within the nucleus.
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MITSUI, Kazuo, and Nobuyoshi TOSAKA. "AN APPLICATION OF GENETIC ALGORITHMS TO FORM FINDING ANALYSIS OF SPATIAL STRUCTURES." Journal of Structural and Construction Engineering (Transactions of AIJ) 61, no. 484 (1996): 75–83. http://dx.doi.org/10.3130/aijs.61.75_1.

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8

Monestiez, P., M. Goulard, and G. Charmet. "Geostatistics for spatial genetic structures: study of wild populations of perennial ryegrass." Theoretical and Applied Genetics 88, no. 1 (1994): 33–41. http://dx.doi.org/10.1007/bf00222391.

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9

Padrón, Mariana, and Katell Guizien. "Modelling the effect of demographic traits and connectivity on the genetic structuration of marine metapopulations of sedentary benthic invertebrates." ICES Journal of Marine Science 73, no. 7 (2015): 1935–45. http://dx.doi.org/10.1093/icesjms/fsv158.

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Abstract Accounting for connectivity is essential in marine spatial planning and the proper design and management of marine protected areas, given that their effectiveness depends on the patterns of dispersal and colonization between protected and non-protected areas. The genetic structure of populations is commonly used to infer connectivity among distant populations. Here, we explore how population genetic structure is affected by pre- and settlement limitations with a spatially explicit coupled metapopulation-gene flow model that simulates the effect of demographic fluctuations on the allel
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10

Epperson, B. K. "Spatial distributions of genotypes under isolation by distance." Genetics 140, no. 4 (1995): 1431–40. http://dx.doi.org/10.1093/genetics/140.4.1431.

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Abstract The spatial distributions of single-locus diploid genotypes, produced within populations of sexually reproducing individuals under isolation by distance, are measured and characterized in detail by quantifying the join-counts for simulated model populations. The models more realistically reflect spatially explicit distributions of genotypes in populations, because unlike the classical theory, they include the stochasticity inherent in the process of matings between genotypes. This stochasticity causes the formation of large areas or patches containing mostly one homozygous genotype, w
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Messier, Gabrielle Dubuc, Dany Garant, Patrick Bergeron, and Denis Réale. "Environmental conditions affect spatial genetic structures and dispersal patterns in a solitary rodent." Molecular Ecology 21, no. 21 (2012): 5363–73. http://dx.doi.org/10.1111/mec.12022.

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12

Kahilainen, Aapo, Inka Keränen, Katja Kuitunen, Janne S. Kotiaho, and K. Emily Knott. "Interspecific interactions influence contrasting spatial genetic structures in two closely related damselfly species." Molecular Ecology 23, no. 20 (2014): 4976–88. http://dx.doi.org/10.1111/mec.12916.

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13

Jacquier, Mickaël, Jean-Michel Vandel, François Léger, et al. "Population genetic structures at multiple spatial scales: importance of social groups in European badgers." Journal of Mammalogy 101, no. 5 (2020): 1380–91. http://dx.doi.org/10.1093/jmammal/gyaa090.

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Abstract Population viability and metapopulation dynamics are strongly affected by gene flow. Identifying ecological correlates of genetic structure and gene flow in wild populations is therefore a major issue both in evolutionary ecology and species management. Studying the genetic structure of populations also enables identification of the spatial scale at which most gene flow occurs, hence the scale of the functional connectivity, which is of paramount importance for species ecology. In this study, we examined the genetic structure of a social, continuously distributed mammal, the European
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14

Nair, Abhilash, Toby Fountain, Suvi Ikonen, Sami P. Ojanen, and Saskya van Nouhuys. "Spatial and temporal genetic structure at the fourth trophic level in a fragmented landscape." Proceedings of the Royal Society B: Biological Sciences 283, no. 1831 (2016): 20160668. http://dx.doi.org/10.1098/rspb.2016.0668.

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A fragmented habitat becomes increasingly fragmented for species at higher trophic levels, such as parasitoids. To persist, these species are expected to possess life-history traits, such as high dispersal, that facilitate their ability to use resources that become scarce in fragmented landscapes. If a specialized parasitoid disperses widely to take advantage of a sparse host, then the parasitoid population should have lower genetic structure than the host. We investigated the temporal and spatial genetic structure of a hyperparasitoid (fourth trophic level) in a fragmented landscape over 50 ×
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15

MAZZITELLO, KARINA I., CONSTANCIO M. ARIZMENDI, ALVARO L. SALAS BRITO, and HILARY G. E. HENTSCHEL. "EMBRYONIC SOMITE FORMATION GENERATED BY GENETIC NETWORK OSCILLATIONS WITH NOISE." International Journal of Bifurcation and Chaos 20, no. 02 (2010): 341–47. http://dx.doi.org/10.1142/s021812741002579x.

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In most vertebrate species, the body axis is generated by the formation of repeated transient structures called somites. This spatial periodicity in somitogenesis has been related to the genetic network oscillations in certain mRNAs and their associated gene products in the cells forming the presomitic mesoderm. The current molecular view of the mechanism underlying these oscillations involves negative-feedback regulation at transcriptional and translational levels. The spatially periodic nature of somite formation suggests that the genetic network involved must display intracellular oscillati
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Lee, Soo-Rang, Bo-Yun Kim, and Young-Dong Kim. "Genetic diagnosis of a rare myrmecochorous species, Plagiorhegma dubium (Berberidaceae): Historical genetic bottlenecks and strong spatial structures among populations." Ecology and Evolution 8, no. 17 (2018): 8791–802. http://dx.doi.org/10.1002/ece3.4362.

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17

Visser, J. H., T. J. Robinson, and B. Jansen van Vuuren. "Spatial genetic structure in the rock hyrax (Procavia capensis) across the Namaqualand and western Fynbos areas of South Africa — a mitochondrial and microsatellite perspective." Canadian Journal of Zoology 98, no. 8 (2020): 557–71. http://dx.doi.org/10.1139/cjz-2019-0154.

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The interplay between biotic and abiotic environments is increasingly recognized as a major determinant of spatial genetic patterns. Among spatial genetic studies, saxicolous or rock-dwelling species remain underrepresented in spite of their strict dependence on landscape structure. Here we investigated patterns and processes operating at different spatial (fine and regional scales) and time scales (using mitochondrial and microsatellite markers) in the rock hyrax (Procavia capensis (Pallas, 1766)). Our focus was on the western seaboard of South Africa and included two recognized biodiversity
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18

Dostálek, Jiří, Tomáš Frantík, and Miroslava Lukášová. "Genetic differences within natural and planted stands of Quercus petraea." Open Life Sciences 6, no. 4 (2011): 597–605. http://dx.doi.org/10.2478/s11535-011-0034-8.

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AbstractFive sessile oak [Quercus petraea (Matt.) Liebl.] stands from the Czech Republic were studied to learn about the impact of different types of forest management regimes on the genetic differences among tree populations and on population structures. One population had not been markedly affected by human activity, two populations represented unplanted stands that were extensively managed for a long period of time using the coppice system, and two populations were planted stands. Approximately 100 trees from each stand were mapped and subsequently genotyped using 10 nuclear microsatellite
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19

Finkeldey, Reiner. "Forschung zur Vielfalt, vielfältige Forschung: Ziele und Wege der Forstgenetik | Research on diversity, diverse research: objectives and approaches in forest genetics." Schweizerische Zeitschrift fur Forstwesen 152, no. 5 (2001): 162–68. http://dx.doi.org/10.3188/szf.2001.0162.

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The genetic information about forest trees is not only of crucial importance for the yield of forestry production systems,but also for determining the evolutionary adaptive potential of tree populations. Thus, the stability of forest ecosystems depends on the sustainable management of forest genetic resources. In this context, tree breeding and conservation of forest genetic resources are mentioned as main applications of research in forest genetics. Genetic inventories are conducted in order to observe the spatial distribution of genetic information at gene marker loci. Such studies allow us
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20

Kingsford, Michael J., Jodie A. Schlaefer, and Scott J. Morrissey. "Population Structures and Levels of Connectivity for Scyphozoan and Cubozoan Jellyfish." Diversity 13, no. 4 (2021): 174. http://dx.doi.org/10.3390/d13040174.

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Understanding the hierarchy of populations from the scale of metapopulations to mesopopulations and member local populations is fundamental to understanding the population dynamics of any species. Jellyfish by definition are planktonic and it would be assumed that connectivity would be high among local populations, and that populations would minimally vary in both ecological and genetic clade-level differences over broad spatial scales (i.e., hundreds to thousands of km). Although data exists on the connectivity of scyphozoan jellyfish, there are few data on cubozoans. Cubozoans are capable sw
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21

Kunin, William E., Philippine Vergeer, Tanaka Kenta, et al. "Variation at range margins across multiple spatial scales: environmental temperature, population genetics and metabolomic phenotype." Proceedings of the Royal Society B: Biological Sciences 276, no. 1661 (2009): 1495–506. http://dx.doi.org/10.1098/rspb.2008.1767.

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Range margins are spatially complex, with environmental, genetic and phenotypic variations occurring across a range of spatial scales. We examine variation in temperature, genes and metabolomic profiles within and between populations of the subalpine perennial plant Arabidopsis lyrata ssp. petraea from across its northwest European range. Our surveys cover a gradient of fragmentation from largely continuous populations in Iceland, through more fragmented Scandinavian populations, to increasingly widely scattered populations at the range margin in Scotland, Wales and Ireland. Temperature regime
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22

Mitteroecker, Philipp, Silvester Bartsch, Corinna Erkinger, Nicole D. S. Grunstra, Anne Le Maître, and Fred L. Bookstein. "Morphometric Variation at Different Spatial Scales: Coordination and Compensation in the Emergence of Organismal Form." Systematic Biology 69, no. 5 (2020): 913–26. http://dx.doi.org/10.1093/sysbio/syaa007.

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Abstract It is a classic aim of quantitative and evolutionary biology to infer genetic architecture and potential evolutionary responses to selection from the variance–covariance structure of measured traits. But a meaningful genetic or developmental interpretation of raw covariances is difficult, and classic concepts of morphological integration do not directly apply to modern morphometric data. Here, we present a new morphometric strategy based on the comparison of morphological variation across different spatial scales. If anatomical elements vary completely independently, then their varian
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23

Hämmerli, A., and T. B. H. Reusch. "Genetic neighbourhood of clone structures in eelgrass meadows quantified by spatial autocorrelation of microsatellite markers." Heredity 91, no. 5 (2003): 448–55. http://dx.doi.org/10.1038/sj.hdy.6800310.

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24

Strugnell, Jan M., A. Louise Allcock, and Phillip C. Watts. "Closely related octopus species show different spatial genetic structures in response to the Antarctic seascape." Ecology and Evolution 7, no. 19 (2017): 8087–99. http://dx.doi.org/10.1002/ece3.3327.

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25

Zhao, Xiang, She Liang Wang, Xi Cheng Zhao, and Jian Bo Dai. "Fuzzy Control on Large-Span Spatial Structure Dynamical Response." Advanced Materials Research 368-373 (October 2011): 1023–29. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.1023.

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Focused on the dynamical collapse of large-span spatial structure, this paper uses giant magnetostrictive material to design a kind of new GMM actuator, which could be used in active vibration control of large-span spatial structure. The genetic algorithm has been used to optimize the position of actuators in large-span spatial structure and the structure of fuzzy control system is introduced. A standard fuzzy logic controller is designed. Fuzzy control routine established by the matlab software is used to carry on the active control simulation analysis on the long-span spatial structures. The
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Poznyak, Stepan, Ihor Papish, Halyna Ivaniuk, and Taras Yamelynets. "Soil-geographical zonation of Lviv oblast: structure and principles." Visnyk of the Lviv University. Series Geography, no. 52 (June 27, 2018): 251–65. http://dx.doi.org/10.30970/vgg.2018.52.10191.

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The scheme of soil-geographical zonation of Lviv oblast is developed on the principles of structural approach to the spatial organization of soil cover. Criteria for allocation of the ranked taxonomic units, their spatial and genetic properties are qualitative and genetic indicators of soil cover with the analysis of the spatial arrangement of soil combinations and structures. The following taxonomic units are identified in the proposed scheme of soil-geographical zonation: soil-geographic kraina (soil-geographic country), soil-bioclimatic zona/poias (soil-geographic zone/mountain belt), krai
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Gerttula, S., Y. S. Jin, and K. V. Anderson. "Zygotic expression and activity of the Drosophila Toll gene, a gene required maternally for embryonic dorsal-ventral pattern formation." Genetics 119, no. 1 (1988): 123–33. http://dx.doi.org/10.1093/genetics/119.1.123.

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Abstract Maternal expression of the Toll gene is required for the production and the correct spatial organization of all lateral and ventral structures of the Drosophila embryo. We show here that the Toll gene is transcribed zygotically in the embryo and that zygotic expression is important for the viability of the larva. Both genetic and molecular data indicate that the zygotic Toll product has the same biochemical activity as the maternal product. The spatial distribution of the Toll transcript in the embryo was analyzed. In contrast to the uniform distribution of the maternal RNA, the zygot
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Papura, D., F. Delmotte, X. Giresse, et al. "Comparing the spatial genetic structures of the Flavescence dorée phytoplasma and its leafhopper vector Scaphoideus titanus." Infection, Genetics and Evolution 9, no. 5 (2009): 867–76. http://dx.doi.org/10.1016/j.meegid.2009.05.009.

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CHOO, J., T. E. JUENGER, and B. B. SIMPSON. "Consequences of frugivore-mediated seed dispersal for the spatial and genetic structures of a neotropical palm." Molecular Ecology 21, no. 4 (2012): 1019–31. http://dx.doi.org/10.1111/j.1365-294x.2011.05425.x.

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30

Harter, David E. V., Mike Thiv, Alfons Weig, Anke Jentsch, and Carl Beierkuhnlein. "Spatial and ecological population genetic structures within two island‐endemic Aeonium species of different niche width." Ecology and Evolution 5, no. 19 (2015): 4327–44. http://dx.doi.org/10.1002/ece3.1682.

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Hu, Li-Jiang, Kentaro Uchiyama, Hai-Long Shen, and Yuji Ide. "Multiple-scaled spatial genetic structures of Fraxinus mandshurica over a riparian–mountain landscape in Northeast China." Conservation Genetics 11, no. 1 (2009): 77–87. http://dx.doi.org/10.1007/s10592-009-0004-0.

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32

Magota, Kana, Shota Sakaguchi, Shun K. Hirota, et al. "Comparative analysis of spatial genetic structures in sympatric populations of two riparian plants,Saxifraga acerifoliaandSaxifraga fortunei." American Journal of Botany 108, no. 4 (2021): 680–93. http://dx.doi.org/10.1002/ajb2.1644.

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33

Epperson, B. K. "Spatial structure of two-locus genotypes under isolation by distance." Genetics 140, no. 1 (1995): 365–75. http://dx.doi.org/10.1093/genetics/140.1.365.

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Abstract Extensive Monte Carlo simulations are conducted of spatial distributions of two-locus genotypes in large, continuous populations under isolation by distance models. The results show that substantial patches of double homozygotes are present in the spatial structures, even when loci are unlinked. The stochastic spread of identical two-locus genotypes largely outpowers the tendency for recombination to decouple patterns for separate loci. A spatial patch is a large area containing mostly one double homozygous genotype in a highly contiguous constellation. This patch structure is reflect
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Goldbeter, Albert. "Dissipative structures in biological systems: bistability, oscillations, spatial patterns and waves." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2124 (2018): 20170376. http://dx.doi.org/10.1098/rsta.2017.0376.

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The goal of this review article is to assess how relevant is the concept of dissipative structure for understanding the dynamical bases of non-equilibrium self-organization in biological systems, and to see where it has been applied in the five decades since it was initially proposed by Ilya Prigogine. Dissipative structures can be classified into four types, which will be considered, in turn, and illustrated by biological examples: (i) multistability, in the form of bistability and tristability, which involve the coexistence of two or three stable steady states, or in the form of birhythmicit
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Mroginski, Javier Luis, Pablo Alejandro Beneyto, Guillermo J. Gutierrez, and Ariel Di Rado. "A selective genetic algorithm for multiobjective optimization of cross sections in 3D trussed structures based on a spatial sensitivity analysis." Multidiscipline Modeling in Materials and Structures 12, no. 2 (2016): 423–35. http://dx.doi.org/10.1108/mmms-08-2015-0048.

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Purpose – There are many problems in civil or mechanical engineering related to structural design. In such a case, the solution techniques which lead to deterministic results are no longer valid due to the heuristic nature of design problems. The purpose of this paper is to propose a computational tool based on genetic algorithms, applied to the optimal design of cross-sections (solid tubes) of 3D truss structures. Design/methodology/approach – The main feature of this genetic algorithm approach is the introduction of a selective-smart method developed in order to improve the convergence rate
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Lin, Yuting, Achyut Kumar Banerjee, Haidan Wu, et al. "Prominent genetic structure across native and introduced ranges of Pluchea indica, a mangrove associate, as revealed by microsatellite markers." Journal of Plant Ecology 13, no. 3 (2020): 341–53. http://dx.doi.org/10.1093/jpe/rtaa022.

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Abstract Aims Pluchea indica is a mangrove-associate species, known for its medicinal properties in its native range and being invasive in part of its introduced range. This study aimed to assess geographic distribution of genetic variation of this species across its distribution range, identify the factors influencing its genetic structure and use this information to suggest conservation and management strategies in its native and introduced ranges, respectively. Methods We assessed the genetic diversity and population structure of 348 individuals from 31 populations across its native (Asia)
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Dounavi, A., N. Koutsias, M. Ziehe, and H. H. Hattemer. "Spatial patterns and genetic structures within beech populations (Fagus sylvatica L.) of forked and non-forked individuals." European Journal of Forest Research 129, no. 6 (2010): 1191–202. http://dx.doi.org/10.1007/s10342-010-0409-9.

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Tian, Lei, Lixia Ku, Zan Yuan, et al. "Large-scale reconstruction of chromatin structures of maize temperate and tropical inbred lines." Journal of Experimental Botany 72, no. 10 (2021): 3582–96. http://dx.doi.org/10.1093/jxb/erab087.

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Abstract Maize is a model plant species often used for genetics and genomics research because of its genetic diversity. There are prominent morphological, genetic, and epigenetic variations between tropical and temperate maize lines. However, the genome-wide chromatin conformations of these two maize types remain unexplored. We applied a Hi-C approach to compare the genome-wide chromatin interactions between temperate inbred line D132 and tropical line CML288. A reconstructed maize three-dimensional genome model revealed the spatial segregation of the global A and B compartments. The A compart
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Neophytou, Charalambos, Elisabeth Pötzelsberger, Manuel Curto, Harald Meimberg, and Hubert Hasenauer. "Population bottlenecks have shaped the genetic variation of Ailanthus altissima (Mill.) Swingle in an area of early introduction." Forestry: An International Journal of Forest Research 93, no. 4 (2019): 495–504. http://dx.doi.org/10.1093/forestry/cpz019.

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Abstract Ailanthus altissima is a common tree species of the European non-native flora. In Eastern Austria, Ailanthus has both a long tradition, dating back to the late 18th century, and a high frequency of occurrence. Here, we apply molecular markers from the nuclear and chloroplast DNA in order to study the origin, as well as the clonal and genetic structure of the species in forest stands of this region. Our results indicate a single area of origin for all our study populations from the north-eastern part of the native range, in agreement with historical reports. Within populations, vegetat
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Zhang, Hong-Xiang, Qian Wang, and Su-Wen Jia. "Genomic Phylogeography of Gymnocarpos przewalskii (Caryophyllaceae): Insights into Habitat Fragmentation in Arid Northwestern China." Diversity 12, no. 9 (2020): 335. http://dx.doi.org/10.3390/d12090335.

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Extensive range of deserts and gobis (rocks) had promoted habitat fragmentation of species in arid northwestern China. Distribution of endangered Gymnocarpos przewalskii Maxim. covers most of gobis (rocks) and desert terrain across arid regions of northwestern China. In the present study, we had employed genomic phylogeographical analysis to investigate population structure of G. przewalskii and test the effect of environmental conditions on spatial pattern of genetic diversity. Results showed four groups were identified from east to west: Edge of the Alxa Desert, Hexi Corridor, Hami Basin, an
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Hulianytskyi, Leonid, and Sergii Chornozhuk. "Genetic Algorithm with New Stochastic Greedy Crossover Operator for Protein Structure Folding Problem." Cybernetics and Computer Technologies, no. 2 (July 24, 2020): 19–29. http://dx.doi.org/10.34229/2707-451x.20.2.3.

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Introduction. The spatial protein structure folding is an important and actual problem in biology. Considering the mathematical model of the task, we can conclude that it comes down to the combinatorial optimization problem. Therefore, genetic and mimetic algorithms can be used to find a solution. The article proposes a genetic algorithm with a new greedy stochastic crossover operator, which differs from classical approaches with paying attention to qualities of possible ancestors. The purpose of the article is to describe a genetic algorithm with a new greedy stochastic crossover operator, re
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ALPER, KUTAY O., and CAREY K. BAGDASSARIAN. "COUPLED GENETIC ALGORITHM/KOHONEN NEURAL NETWORK (GANN) FOR PROJECTION OF THREE-DIMENSIONAL PROTEIN STRUCTURES ONTO THE PLANE." Journal of Theoretical and Computational Chemistry 01, no. 01 (2002): 45–52. http://dx.doi.org/10.1142/s0219633602000051.

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An algorithm is presented for projecting — at the amino acid level — the three-dimensional crystal structure of a protein molecule onto a planar surface. The scheme is topologically consistent: if two amino acid residues are closely juxtaposed in three-dimensional space, they remain so upon projection. Through such projections, a single resulting picture captures the spatial relations amongst a protein molecule's amino acids. Operationally, a genetic algorithm is used to "evolve" a parameter set which serves as input for a self-organizing Kohonen neural network responsible for the projection i
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Zhou, Huiyu, Shingo Mabu, Wei Wei, Kaoru Shimada, and Kotaro Hirasawa. "Traffic Flow Prediction with Genetic Network Programming (GNP)." Journal of Advanced Computational Intelligence and Intelligent Informatics 13, no. 6 (2009): 713–25. http://dx.doi.org/10.20965/jaciii.2009.p0713.

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In this paper, a method for traffic flow prediction has been proposed to obtain prediction rules from the past traffic data using Genetic Network Programming (GNP). GNP is an evolutionary approach which can evolve itself and find the optimal solutions. It has been clarified that GNP works well especially in dynamic environments since GNP is consisted of directed graph structures, creates quite compact programs and has an implicit memory function. In this paper, GNP is applied to create a traffic flow prediction model. And we proposed the spatial adjacency model for the prediction and two kinds
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Hernández-Velasco, Javier, José Ciro Hernández-Díaz, Matthias Fladung, Álvaro Cañadas-López, José Ángel Prieto-Ruíz, and Christian Wehenkel. "Spatial genetic structure in four Pinus species in the Sierra Madre Occidental, Durango, Mexico." Canadian Journal of Forest Research 47, no. 1 (2017): 73–80. http://dx.doi.org/10.1139/cjfr-2016-0154.

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In this study, we examined the spatial genetic structure (SGS) in extensively managed, but naturally regenerated forest stands of Pinus cembroides Zucc., Pinus discolor Bailey et Hawksworth, Pinus durangensis Martínez, and Pinus teocote Schiede ex Schltdl. & Cham. at local (within the stands) and large (among the stands) scales using amplified fragment length polymorphisms (AFLP), with respect to conservation and sustainable management of genetic resources of these species. Because these four pine species grow in different landscape structures, we expected to find differences in their SGS,
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Loison, A., G. Darmon, S. Cassar, J. M. Jullien, and D. Maillard. "Age- and sex-specific settlement patterns of chamois (Rupicapra rupicapra) offspring." Canadian Journal of Zoology 86, no. 6 (2008): 588–93. http://dx.doi.org/10.1139/z08-031.

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The social, spatial, and genetic structures of populations depend on where offspring settle and reproduce in relation to their parent’s home range. However, the patterns of settlement in wild populations of large mammals are often poorly described owing to the difficulty of monitoring mother–offspring pairs over a long period. Here, we investigated sex-specific settlement patterns in chamois ( Rupicapra rupicapra (L., 1758)) based on the study of 31 mother–offspring pairs. We calculated the distance between the center of the mother’s range and the center of her offspring’s range, and tested wh
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Alle, Benn R., Lupe Furtado-Alle, Cedric Gondro, and João Carlos M. Magalhães. "Kuri: A Simulator of Ecological Genetics for Tree Populations." Journal of Artificial Evolution and Applications 2009 (July 26, 2009): 1–5. http://dx.doi.org/10.1155/2009/783647.

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This paper presents Kuri, a software package developed to simulate the temporal and spatial dynamics of genetic variability in populations and multispecies communities of trees, as well as their interactions with environmental factors. A conceptual model using agents inspired on Echo models is used to define the environment, the hierarchical structures, and the low-level rules of the system. At the individual agent (tree) level a genetic algorithm is used to model the genotypic structure and the genetic processes, from a small set of simple rules, complex higher-order population, and environme
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Štefánik, Martin, Jan Christian Habel, Thomas Schmitt, and Jonas Eberle. "Geographical disjunction and environmental conditions drive intraspecific differentiation in the chalk-hill blue butterfly." Biological Journal of the Linnean Society 133, no. 1 (2021): 202–15. http://dx.doi.org/10.1093/biolinnean/blab022.

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Abstract Drivers of evolution are often related to geographical isolation and/or diverging environmental conditions. Spatial variation in neutral genetic markers mostly reflects past geographical isolation, i.e. long-lasting allopatry, whereas morphology is often driven by local environmental conditions, resulting in more rapid evolution. In Europe, most thermophilic species persisted during the past glacial periods in geographically disjunct refugia, representing long-lasting isolates, frequently with diverging environmental conditions. This situation has driven the evolution of intraspecific
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Japaridze, Aleksandre, Sylvain Renevey, Patrick Sobetzko, et al. "Spatial organization of DNA sequences directs the assembly of bacterial chromatin by a nucleoid-associated protein." Journal of Biological Chemistry 292, no. 18 (2017): 7607–18. http://dx.doi.org/10.1074/jbc.m117.780239.

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Structural differentiation of bacterial chromatin depends on cooperative binding of abundant nucleoid-associated proteins at numerous genomic DNA sites and stabilization of distinct long-range nucleoprotein structures. Histone-like nucleoid-structuring protein (H-NS) is an abundant DNA-bridging, nucleoid-associated protein that binds to an AT-rich conserved DNA sequence motif and regulates both the shape and the genetic expression of the bacterial chromosome. Although there is ample evidence that the mode of H-NS binding depends on environmental conditions, the role of the spatial organization
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Al-Qthanin, Rahmah N., and Samah A. Alharbi. "Spatial Structure and Genetic Variation of a Mangrove Species (Avicennia marina (Forssk.) Vierh) in the Farasan Archipelago." Forests 11, no. 12 (2020): 1287. http://dx.doi.org/10.3390/f11121287.

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Avicennia marina (Forssk.) Vierh is distributed in patches along the Farasan archipelago coast and is the most common mangrove species in the Red Sea. However, to date, no studies have been directed towards understanding its genetic variation in the Farasan archipelago. In this investigation, genetic variations within and among natural populations of Avicennia marina in the Farasan archipelago were studied using 15 microsatellite markers. The study found 142 alleles on 15 loci in nine populations. The observed (Ho) and expected (He) heterozygosity values were 0.351 and 0.391, respectively, whi
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Regilme, Maria Angenica F., Thaddeus M. Carvajal, Ann–Christin Honnen, Divina M. Amalin, and Kozo Watanabe. "The influence of roads on the fine-scale population genetic structure of the dengue vector Aedes aegypti (Linnaeus)." PLOS Neglected Tropical Diseases 15, no. 2 (2021): e0009139. http://dx.doi.org/10.1371/journal.pntd.0009139.

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Dengue is endemic in tropical and subtropical countries and is transmitted mainly by Aedes aegypti. Mosquito movement can be affected by human-made structures such as roads that can act as a barrier. Roads can influence the population genetic structure of Ae. aegypti. We investigated the genetic structure and gene flow of Ae. aegypti as influenced by a primary road, España Boulevard (EB) with 2000-meter-long stretch and 24-meters-wide in a very fine spatial scale. We hypothesized that Ae. aegypti populations separated by EB will be different due to the limited gene flow as caused by the barrie
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