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19 results for “Myodes glareolus”
Fig. 3 in Peroral Echinococcus multilocularis egg inoculation in Myodes glareolus, Mesocricetus auratus and Mus musculus (CD-1 IGS and C57BL/6j)
Fig. 3. Number of metacestodes of varying sizes in individual species at 6 wpi (M. glareolus at 8 wpi) after receiving 100 viable E. multilocularis eggs. A <1 mm, B 1 - Ý2 mm, C> 2 - Ý3 mm, D> 3 - Ý4 mm, E 4 - Ý5 mm, F> 5 mm. Data from current study and (Woolsey et al., 2015a; Woolsey et al., 2015b).
Fig. 2 in Peroral Echinococcus multilocularis egg inoculation in Myodes glareolus, Mesocricetus auratus and Mus musculus (CD-1 IGS and C57BL/6j)
Fig. 2. Mean establishment of E. multilocularis oncospheres in the different rodent intermediate hosts after receiving 100 viable eggs at 6 wpi (M. glareolus at 8 wpi). Data from current study and (Woolsey et al., 2015a; Woolsey et al., 2015b).
Fig. 1 in Reduced helminth parasitism in the introduced bank vole (Myodes glareolus): More parasites lost than gained
Fig. 1. Frequency distribution of intestinal helminth species richness in wood mice and bank voles examined in 2011 and 2012.
Fig. 2 in Parasites in Myodes glareolus and their association with diet assessed by stable isotope analysis
Fig. 2. The relationship between parasite intensity and δ 15N values for the mite Listrophorus brevipes in September (S1) and October (S2) samples of Myodes glareolus. Note the log-scale for parasite abundance.
Fig. 3 in Parasites in Myodes glareolus and their association with diet assessed by stable isotope analysis
Fig. 3. The average Pearsons Correlation Coefficient (error bars: SE) between abundance and δ 13C and δ 15N for the two parasite groups: ecto and endoparasite for females (left) and males (right). The data includes 13 parasites occurring on 5 or more individuals and indicate consistent correlations for endoparasites and δ 15 N, while this is not the case for δ 13C.
Fig. 1 in Parasites in Myodes glareolus and their association with diet assessed by stable isotope analysis
Fig. 1. The relationship between δ 13C and δ 15N values for the 21 Myodes glareolus sampled from Kongelunden Denmark in September (S1) and October (S2). The rodents present great variation in isotope values.
Borrelia infection in bank voles Myodes glareolus is associated with specific DQB haplotypes which affect allelic divergence within individuals
<p>The high polymorphism of Major Histocompatibility Complex (MHC) genes is generally considered to be a result of pathogen-mediated balancing selection. Such selection may operate in the form of heterozygote advantage, and/or through specific MHC allele–pathogen interactions. Specific MHC allele–pathogen interactions may promote polymorphism via negative frequency-dependent selection (NFDS), or selection that varies in time and/or space because of variability in the composition of the pathogen community (fluctuating selection; FS). In addition, divergent allele advantage (DAA) may act on top of these forms of balancing selection, explaining the high sequence divergence between MHC alleles. DAA has primarily been thought of as an extension of heterozygote advantage. However, DAA could also work in concert with NFDS though this is yet to be tested explicitly. To evaluate the importance of DAA in pathogen-mediated balancing selection, we surveyed allelic polymorphism of MHC class II DQB genes in wild bank voles (<i>Myodes glareolus</i>) and tested for associations between DQB haplotypes and infection by <i>Borrelia afzelii</i>, a tick-transmitted bacterium causing Lyme disease in humans. We found two significant associations between DQB haplotypes and infection status: one haplotype was associated with lower risk of infection (resistance), while another was associated with higher risk of infection (susceptibility). Interestingly, allelic divergence within individuals was higher for voles with the resistance haplotype compared to other voles. In contrast, allelic divergence was lower for voles with the susceptibility haplotype than other voles. The pattern of higher allelic divergence in individuals with the resistance haplotype is consistent with NFDS favouring divergent alleles in a natural population, hence selection where DAA works in concert with NFDS. </p>
Borrelia infection in bank voles Myodes glareolus is associated with specific DQB haplotypes which affect allelic divergence within individuals
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Data from: Oxidative damage and antioxidant defence are assay and tissue dependent both in captive and in wild-caught bank voles (Myodes glareolus) before and after reproduction
1. Reproduction is costly and life-history theory predicts that current parental investment will result in lower survival or decreased future reproduction. The physiological mechanisms mediating the link between reproduction and survival are still under debate and elevated oxidative damage during reproduction has been proposed as a plausible candidate. 2. Previous studies of oxidative stress during reproduction in animals under natural conditions have been restricted to analyses of blood. Herein, we measured the level of oxidative damage to lipids (thiobarbituric-acid-reactive substances) and proteins (carbonyls) in the liver, kidneys, heart and skeletal muscles in free-living bank vole females from spring and autumn generations, before and after reproduction. Antioxidant defence in the liver and kidneys was also determined. We expected oxidative damage to tissues and hypothesized that the damage would be more uniform between tissues in wild animals compared to those breeding under laboratory conditions. 3. Considering all combinations of markers/tissues/generations, oxidative damage in females did not differ before and after reproduction in 12 comparisons, was lower after reproduction in 3 comparisons, and was higher after breeding in one comparison. The total glutathione was significantly increased after reproduction only in the liver of the autumn generation and there was no change in catalase activity. 4. Our results confirm – for the first time in the field – previous observations from laboratory studies that there is no simple link between oxidative stress and reproduction and that patterns depend on the tissue and marker being studied. Overall however, our study does not support the hypothesis that the cost of reproduction in bank voles is mediated by oxidative stress in these tissues.
Data from: Spatiotemporal dynamics of Puumala hantavirus associated with its rodent host, Myodes glareolus
Many viruses significantly impact human and animal health. Understanding the population dynamics of these viruses and their hosts can provide important insights for epidemiology and virus evolution. Puumala virus (PUUV) is a European hantavirus that may cause regional outbreaks of hemorrhagic fever with renal syndrome in humans. Here, we analyzed the spatiotemporal dynamics of PUUV circulating in local populations of its rodent reservoir host, the bank vole (Myodes glareolus) during eight years. Phylogenetic and population genetic analyses of all three genome segments of PUUV showed strong geographical structuring at a very local scale. There was a high temporal turnover of virus strains in the local bank vole populations, but several virus strains persisted through multiple years. Phylodynamic analyses showed no significant changes in the local effective population sizes of PUUV, although vole numbers and virus prevalence fluctuated widely. Microsatellite data demonstrated also a temporally persisting subdivision between local vole populations, but these groups did not correspond to the subdivision in the virus strains. We conclude that restricted transmission between vole populations and genetic drift play important roles in shaping the genetic structure and temporal dynamics of PUUV in its natural host which has several implications for zoonotic risks of the human population.
Expansion of rDNA and pericentromere satellite repeats in the genomes of bank voles Myodes glareolus exposed to environmental radionuclides
<p>Altered copy number of certain highly repetitive regions of the genome, such as satellite DNA within heterochromatin and ribosomal RNA loci (rDNA), is hypothesized to help safeguard the genome against damage derived from external stressors. We quantified copy number of the 18S rDNA and a pericentromeric satellite DNA (Msat-160) in bank voles (Myodes glareolus) inhabiting the Chernobyl Exclusion Zone (CEZ), an area that is contaminated by radionuclides and where organisms are exposed to elevated levels of ionizing radiation. We found a significant increase in 18S rDNA and Msat-160 content in the genomes of bank voles from contaminated locations within the CEZ compared with animals from uncontaminated locations. Moreover, 18S rDNA and Msat-160 copy number were positively correlated in the genomes of bank voles from uncontaminated, but not in the genomes of animals inhabiting contaminated areas. These results show the capacity for local-scale geographic variation in genome architecture and are consistent with the genomic safeguard hypothesis. Disruption of cellular processes related to genomic stability appears to be a hallmark effect in bank voles inhabiting areas contaminated by radionuclides. --</p>
Expansion of rDNA and pericentromere satellite repeats in the genomes of bank voles Myodes glareolus exposed to environmental radionuclides
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Data from: Oxidative damage and antioxidant defence are assay and tissue dependent both in captive and in wild-caught bank voles (Myodes glareolus) before and after reproduction
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Data from: Spatiotemporal dynamics of Puumala hantavirus associated with its rodent host, Myodes glareolus
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Data from: Negative frequency-dependent selection of sexually antagonistic alleles in Myodes glareolus
Sexually antagonistic genetic variation, where optimal values of traits are sex-dependent, is known to slow the loss of genetic variance associated with directional selection on fitness-related traits. However, sexual antagonism alone is not sufficient to maintain variation indefinitely. Selection of rare forms within the sexes can help to conserve genotypic diversity. We combined theoretical models and a field experiment with Myodes glareolus to show that negative frequency-dependent selection on male dominance maintains variation in sexually antagonistic alleles. In our experiment, high-dominance male bank voles were found to have low-fecundity sisters, and vice versa. These results show that investigations of sexually antagonistic traits should take into account the effects of social interactions on the interplay between ecology and evolution, and that investigations of genetic variation should not be conducted solely under laboratory conditions.
Fig. 1 in Seroprevalence of Trichinella spp. infection in bank voles (Myodes glareolus) - A long term study
Fig. 1. Variation in Trichinella spp. seroprevalence between years (2002–2010) and sites of surveys.
Data from: Negative frequency-dependent selection of sexually antagonistic alleles in Myodes glareolus
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Data from: Adaptive evolution during an ongoing range expansion: the invasive bank vole (Myodes glareolus) in Ireland.
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On following pages: 36. Nelson's Collared Lemming (Dicrostonyx nelsoni); 37. Ogilvie Mountains Collared Lemming (Dicrostonyx nunatakensis); 38. Richardson's Collared Lemming (Dicrostonyx richardsoni); 39. Palearctic Collared Lemming (Dicrostonyx torquatus); 40. Unalaska Collared Lemming (Dicrostonyx unalascensis); 41. Gray Red-backed Vole (Craseomys rufocanus); 42. Hokkaido Red-backed Vole (Craseomys rex); 43. Korean Red-backed Vole (Craseomys regulus); 44. Shanxi Red-backed Vole (Craseomys shanseius); 45. Anderson's Red-backed Vole (Craseomys anderson); 46. Smith's Red-backed Vole (Craseomys smithii); 47. Western Red-backed Vole (Myodes californicus); 48. Southern Red-backed Vole (Myodes gapperi); 49. Bank Vole (Myodes glareolus); 50. Tian Shan Red-backed Vole (Myodes centralis); 51. Large-eared Vole (Myodes macrotis); 52. Northern Red-backed Vole (Myodes rutilus); 53. Silver Mountain Vole (Alticola argentatus); 54. White-tailed Mountain Vole (Alticola albicauda); 55. Kashmir Mountain Vole (Alticola montosus); 56. Royle's Mountain Vole (Alticola roylei); 57. Strelzov's Mountain Vole (Alticola strelzovi); 58. Tuva Mountain Vole (Alticola tuvinicus); 59. Gobi Altai Mountain Vole (Alticola barakshin); 60. Lake Baikal Mountain Vole (Alticola olchonensis); 61. Mongolian Mountain Vole (Alticola semicanus); 62. Stoliczka's Mountain Vole (Alticola stoliczkanus); 63. Lemming Mountain Vole (Aschizomys lemminus); 64. Gansu Red-backed Vole (Caryomys eva); 65. Kolan Red-backed Vole (Caryomys inez): 66. Pere David's Red-backed Vole (Eothenomys melanogaster); 67. Yunnan Red-backed Vole (Eothenomys miletus); 68. Sichuan Red-backed Vole (Eothenomys chinensis); 69. Southwest China Red-backed Vole (Eothenomys custos); 70. Black-eared Red-backed Vole (Eothenomys oliton; 71. Yulongxuen Red-backed Vole (Eothenomys proditor); 72. Ward's Red-backed Vole (Eothenomys ward); 73. Hinton's Red-backed Vole (Eothenomys hintoni); 74. Tarquinius Red-backed Vole (Eothenomys tarquinius); 75. Burrowing Vole (Hyperacrius fertilis); 76. Murree Vole (Hyperacrius wynnei). in Cricetidae
On following pages: 36. Nelson's Collared Lemming (Dicrostonyx nelsoni); 37. Ogilvie Mountains Collared Lemming (Dicrostonyx nunatakensis); 38. Richardson's Collared Lemming (Dicrostonyx richardsoni); 39. Palearctic Collared Lemming (Dicrostonyx torquatus); 40. Unalaska Collared Lemming (Dicrostonyx unalascensis); 41. Gray Red-backed Vole (Craseomys rufocanus); 42. Hokkaido Red-backed Vole (Craseomys rex); 43. Korean Red-backed Vole (Craseomys regulus); 44. Shanxi Red-backed Vole (Craseomys shanseius); 45. Anderson's Red-backed Vole (Craseomys anderson); 46. Smith's Red-backed Vole (Craseomys smithii); 47. Western Red-backed Vole (Myodes californicus); 48. Southern Red-backed Vole (Myodes gapperi); 49. Bank Vole (Myodes glareolus); 50. Tian Shan Red-backed Vole (Myodes centralis); 51. Large-eared Vole (Myodes macrotis); 52. Northern Red-backed Vole (Myodes rutilus); 53. Silver Mountain Vole (Alticola argentatus); 54. White-tailed Mountain Vole (Alticola albicauda); 55. Kashmir Mountain Vole (Alticola montosus); 56. Royle's Mountain Vole (Alticola roylei); 57. Strelzov's Mountain Vole (Alticola strelzovi); 58. Tuva Mountain Vole (Alticola tuvinicus); 59. Gobi Altai Mountain Vole (Alticola barakshin); 60. Lake Baikal Mountain Vole (Alticola olchonensis); 61. Mongolian Mountain Vole (Alticola semicanus); 62. Stoliczka's Mountain Vole (Alticola stoliczkanus); 63. Lemming Mountain Vole (Aschizomys lemminus); 64. Gansu Red-backed Vole (Caryomys eva); 65. Kolan Red-backed Vole (Caryomys inez): 66. Pere David's Red-backed Vole (Eothenomys melanogaster); 67. Yunnan Red-backed Vole (Eothenomys miletus); 68. Sichuan Red-backed Vole (Eothenomys chinensis); 69. Southwest China Red-backed Vole (Eothenomys custos); 70. Black-eared Red-backed Vole (Eothenomys oliton; 71. Yulongxuen Red-backed Vole (Eothenomys proditor); 72. Ward's Red-backed Vole (Eothenomys ward); 73. Hinton's Red-backed Vole (Eothenomys hintoni); 74. Tarquinius Red-backed Vole (Eothenomys tarquinius); 75. Burrowing Vole (Hyperacrius fertilis); 76. Murree Vole (Hyperacrius wynnei).
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Allen Brain Atlas
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