The diversity of parasites in the Chinese sleeper Perccottus glenii Dybowski, 1877 (Actinopterygii: Perciformes) under the conditions of large-scale range expansion

2016 ◽  
Vol 43 (4) ◽  
pp. 374-383 ◽  
Author(s):  
S. G. Sokolov ◽  
A. V. Zhukov
2013 ◽  
Vol 14 (5) ◽  
pp. 432-441 ◽  
Author(s):  
Juan J. Luque-Larena ◽  
Francois Mougeot ◽  
Javier Viñuela ◽  
Daniel Jareño ◽  
Leticia Arroyo ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dora Henriques ◽  
Ana R. Lopes ◽  
Nor Chejanovsky ◽  
Anne Dalmon ◽  
Mariano Higes ◽  
...  

AbstractWith a growing number of parasites and pathogens experiencing large-scale range expansions, monitoring diversity in immune genes of host populations has never been so important because it can inform on the adaptive potential to resist the invaders. Population surveys of immune genes are becoming common in many organisms, yet they are missing in the honey bee (Apis mellifera L.), a key managed pollinator species that has been severely affected by biological invasions. To fill the gap, here we identified single nucleotide polymorphisms (SNPs) in a wide range of honey bee immune genes and developed a medium-density assay targeting a subset of these genes. Using a discovery panel of 123 whole-genomes, representing seven A. mellifera subspecies and three evolutionary lineages, 180 immune genes were scanned for SNPs in exons, introns (< 4 bp from exons), 3’ and 5´UTR, and < 1 kb upstream of the transcription start site. After application of multiple filtering criteria and validation, the final medium-density assay combines 91 quality-proved functional SNPs marking 89 innate immune genes and these can be readily typed using the high-sample-throughput iPLEX MassARRAY system. This medium-density-SNP assay was applied to 156 samples from four countries and the admixture analysis clustered the samples according to their lineage and subspecies, suggesting that honey bee ancestry can be delineated from functional variation. In addition to allowing analysis of immunogenetic variation, this newly-developed SNP assay can be used for inferring genetic structure and admixture in the honey bee.


2008 ◽  
Vol 141 (5) ◽  
pp. 1343-1353 ◽  
Author(s):  
Raimo Virkkala ◽  
Risto K. Heikkinen ◽  
Niko Leikola ◽  
Miska Luoto

Author(s):  
Aleksi Nummelin ◽  
Julius J. M. Busecke ◽  
Thomas W. N. Haine ◽  
Ryan P. Abernathey

AbstractOceanic tracers are transported by oceanic motions of all scales, but only the large scale motions are resolved by the present-day Earth System Models. In these models, the unresolved lateral sub-gridscale tracer transport is generally parameterized through diffusive closures with a scale-independent diffusion coeffcient. However, evidence from observations and theory suggests that diffusivity varies spatially and is length-scale dependent. Here we provide new scale-dependent quantification of the global surface diffusivities. To this end we use a recently developed statistical inversion method, MicroInverse, to diagnose horizontal surface diffusivities from observed sea surface temperature and idealized model simulation. We compare the results to theoretical estimates of mixing by the large scale shear and by the sub-gridscale velocity fluctuations. The diagnosed diffusivity magnitude peaks in the tropics and western boundary currents with minima in the sub-tropical gyres (~3000 m2s−1 and ~100 m2s−1) at ~40 km scale, respectively. Focusing on the 40-200 km length scale range, we find that the diffusivity magnitude scales with the length scale to a power (n) that is between 1.22-1.54 (90% confidence) in the tropics and also peaks at values above 1 in the boundary currents. In the midlatitudes we find that 0:58 < n < 0:87 (90% confidence). Comparison to the theory suggests that in regions with n > 1 the horizontal mixing is dominated by large scale shear, whereas in regions where n < 1 the horizontal mixing is due to processes that are small compared to the 40-200 km length scale range considered in this study.


2012 ◽  
Vol 694 ◽  
pp. 493-523 ◽  
Author(s):  
Eleftherios Gkioulekas

AbstractIn the Nastrom–Gage spectrum of atmospheric turbulence, we observe a${k}^{\ensuremath{-} 3} $energy spectrum that transitions into a${k}^{\ensuremath{-} 5/ 3} $spectrum, with increasing wavenumber$k$. The transition occurs near a transition wavenumber${k}_{t} $, located near the Rossby deformation wavenumber${k}_{R} $. The Tung–Orlando theory interprets this spectrum as a double downscale cascade of potential enstrophy and energy, from large scales to small scales, in which the downscale potential enstrophy cascade coexists with the downscale energy cascade over the same length scale range. We show that, in a temperature-forced two-layer quasi-geostrophic model, the rates with which potential enstrophy and energy are injected place the transition wavenumber${k}_{t} $near${k}_{R} $. We also show that, if the potential energy dominates the kinetic energy in the forcing range, then the Ekman term suppresses the upscale cascading potential enstrophy more than it suppresses the upscale cascading energy, a behaviour contrary to what occurs in two-dimensional turbulence. As a result, the ratio$\eta / \varepsilon $of injected potential enstrophy over injected energy, in the downscale direction, decreases, thereby tending to decrease the transition wavenumber${k}_{t} $further. Using a random Gaussian forcing model, we reach the same conclusion, under the modelling assumption that the asymmetric Ekman term predominantly suppresses the bottom layer forcing, thereby disregarding a possible entanglement between the Ekman term and the nonlinear interlayer interaction. Based on these results, we argue that the Tung–Orlando theory can account for the approximate coincidence between${k}_{t} $and${k}_{R} $. We also identify certain open questions that require further investigation via numerical simulations.


2014 ◽  
Vol 556-562 ◽  
pp. 916-920
Author(s):  
Yu Huan Li ◽  
Deng Qiu Li ◽  
Jie Wu

The spatial variability of single ecological factors of the farmland and the synergies among the ecological factors were studied by using geostatistical analysis and factorial kriging analysis (FKA).The results show that all of the spherical models of the co-variogram can be grouped into four parts: the nugget part, the small-scale part, the medium-scale part, and the large-scale part. The mean value of the small-scale range (1.12-1.85 km) is approximately 1.50 km, that of the medium-scale range (3.40-4.10 km) is approximately 3.8 km, and that of the large-scale range (9.35-10.10 km) is approximately 9.8 km. The correlations between each factor on the four scales vary, and the correlation between each factor on the medium scale is the strongest. In this paper, the ecological factors of the farmland on the medium scale have relatively consistent variability and sources, indicating that all of the factors on that scale have a high coordination.


2020 ◽  
pp. 2150070
Author(s):  
Yuxian Xia ◽  
Yuan Fu ◽  
Jiahua Li ◽  
Xiang Qiu ◽  
Yuehong Qian ◽  
...  

The two-dimensional (2D) turbulent thermal convection is numerically investigated by using Lattice Boltzmann Method. The 2D turbulence is considered as 2D channel flow where the flow is forced by the arrays of adiabatic cylinders placed in the inlet and wall boundary of 2D channel, which is heated uniformly from the inlet as to inspire the paradigmatic motion of thermal convection. It is found that the spacing vortex number density distribution in the large-scale range [Formula: see text], based on the Liutex vortex definition criterion, which is in fair agreement with the Benzi prediction. The energy spectrum of the Liutex field [Formula: see text]. The scaling behavior of full-field energy spectrum in the large scale is [Formula: see text]. The temperature spectrum in the large-scale range is found to be approximate to [Formula: see text], which is according with the Bolgiano theory of 2D buoyancy driven turbulence. The energy flux cascades to the large scale, the enstrophy cascades to small scale. The moments of the energy dissipation field [Formula: see text] coarse grained at the scale [Formula: see text] have the power-law behaviors with the scale [Formula: see text]. The velocity intermittency measured by PDF exists in large-scale range of 2D turbulent thermal convection. The measured scaling exponents [Formula: see text] are determined by a lognormal formula. The measured intermittency parameter is [Formula: see text], which denotes the strong intermittency in the large-scale range of 2D turbulent thermal convection.


Author(s):  
Ryusuke Sagawa ◽  
Ko Nishino ◽  
Katsushi Ikeuchi
Keyword(s):  

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