Local-scale genetic structure in the Japanese wild boar (Sus scrofa leucomystax): insights from autosomal microsatellites

Tadano, Ryo; Nagai, Aya; Moribe, Junji

doi:10.1007/s10592-016-0848-z

Cited by 9 publications

(11 citation statements)

References 34 publications

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“…The potential of main rivers to restrict dispersal of the wild boar, although not completely, has also been described in other studies (Ferreira et al 2009, Tadano et al 2016). In contrast to the situation in Belgium (Frantz et al 2012), Tadano et al (2016) described significant genetic differentiation in some wild boar populations in Japan by freeways. It is therefore not possible to make a general statement about freeways, but the specific situation of the freeway and its surroundings needs consideration.…”

Section: Discussionsupporting

confidence: 69%

“…Furthermore, the size of current wild boar populations is likely to counteract genetic drift due to larger effective population sizes, making differentiation difficult (Frantz et al 2012). The potential of main rivers to restrict dispersal of the wild boar, although not completely, has also been described in other studies (Ferreira et al 2009, Tadano et al 2016. In contrast to the situation in Belgium (Frantz et al 2012), Tadano et al (2016) described significant genetic differentiation in some wild boar populations in Japan by freeways.…”

Section: Discussionmentioning

confidence: 97%

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Genetic Differentiation of Wild Boar Populations in a Region Endangered by African Swine Fever

et al. 2021

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For areas at risk for African swine fever (ASF) introduction from neighboring regions, it is important for epidemic control to know how wild boar (Sus scrofa) dispersion dynamics could be used to combat the spread of ASF. In this regard, long‐term information based on population genetic data makes an important contribution. We selected our study area as Rhineland‐Palatinate, Germany, because it had a high density of wild boars and was threatened by ASF via infected wild boars from neighboring Belgium. On an area of around 20,000 km2, we collected almost 1,200 blood samples from 22 wild boar hunting grounds. The study area included a network of potential barriers to movement, including roads and rivers. We assessed genetic differentiation based on microsatellite data. We used 2 spatial (Bayesian Analysis of Population Structure [BAPS] and TESS) and 1 non‐spatial (STRUCTURE) Bayesian model‐based approaches to analyze the data. Each of the algorithms detected 4 clusters with different cluster compositions in different areas and identified the highest degrees of differentiation between hunting grounds east and west of the Rhine River, between Pfalz and Eifel‐Hunsrück, and to a lesser degree between Westerwald and Taunus and between Eifel and Hunsrück. Thus, genetic evidence suggests barriers of different strength that might be helpful in a setup of complex and expensive measures against the spread of animal diseases such as ASF. The described approach could also provide valuable information for other threatened regions to contain ASF. © 2021 The Authors. The Journal of Wildlife Management published by Wiley Periodicals LLC on behalf of The Wildlife Society.

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Section: Discussionsupporting

confidence: 69%

Section: Discussionmentioning

confidence: 97%

Genetic Differentiation of Wild Boar Populations in a Region Endangered by African Swine Fever

et al. 2021

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“…Previous studies of the Japanese wild boar populations have reported low level gene flow, and regionally stable genetic structures 12,18,19 . However, there is a dearth of genetic composition studies for wild boar populations in the Tohoku region of Japan making it difficult to analyze the consequences of hybridization with domestic stock following the FDNPP accident.…”

Section: Introductionmentioning

confidence: 88%

Mating of escaped domestic pigs with wild boar and possibility of their offspring migration after the Fukushima Daiichi Nuclear Power Plant accident

Anderson

Toma

Negishi

et al. 2019

Sci Rep

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The 2011 Tohoku earthquake drastically changed human activities in some regions of Fukushima Prefecture, Japan. The subsequent tsunami damage and radioactive pollution from the Fukushima Daiichi nuclear power plant resulted in the evacuation of humans, and abandonment of agricultural lands, allowing population expansion of wildlife into areas formally inhabited by domesticated livestock. Unintentional escape of domesticated pigs into wildlife inhabited environments also occurred. In this study, we tested the possibility of introgression between wild boar and domesticated pigs in Fukushima and neighboring prefectures. We analyzed mitochondrial DNA sequences of 338 wild boar collected from populations in the Tohoku region between 2006 and 2018. Although most boar exhibited Asian boar mitochondrial haplotypes, 18 boar, phenotypically identified as wild boar, had a European domesticated pig haplotype. Frequencies of this haplotype have remained stable since first detection in 2015. This result infers ongoing genetic pollution in wild boar populations from released domesticated pigs. In 2018, this haplotype was detected outside of evacuated areas, suggesting migration and successful adaptation. The natural and anthropocentric disasters at Fukushima gave us the rare opportunity to study introgression processes of domestic genes into populations of wild boar. The present findings suggest a need for additional genetic monitoring to document the dispersal of domestic genes within wild boar stock.

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“…Geographical barriers, such as the complex topography of mountains and islands in east and central China, long-term gene flow and population history, play an important role in driving the formation of complex spatial genetic structure of wild boar in East Asia [ 19 ]. On a local scale, both Japanese and Korean wild boars are well studied, which has revealed the diverse pattern of genetic diversity and genetic differentiation among wild boar [ 20 , 21 ]. The genetic structure from the QM differed from those from other localities in terms of mitochondrial marker [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial Genetic Structure and Demographic History of the Wild Boar in the Qinling Mountains, China

Yuan

Sun

et al. 2021

Animals

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Species dispersal patterns and population genetic structure can be influenced by geographical features. Qinling Mountains (QM) provide an excellent area for phylogeographic study. The phylogeography of Asian-wide wild boars revealed the colonization route. However, the impact of the QM on genetic diversity, genetic structure and population origin is still poorly understood. In this study, genetic analysis of wild boar in the QM was conducted based on the mitochondrial control region (943 bp) and twelve microsatellite loci of 82 individuals in 16 sampling locations. Overall genetic haplotype diversity was 0.86, and the nucleotide diversity was 0.0079. A total of 17 new haplotypes were detected. The level of genetic diversity of wild boars in QM was lower than in East Asia, but higher than in Europe. Phylogenetic analysis showed the weak genetic divergence in QM. Mismatch analysis, neutrality tests, and Bayesian Skyline Plot (BSP) results revealed that the estimates of effective population size were under demographic equilibrium in the past. Spatial analysis of molecular variance indicated no obvious phylogeographic structure.

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Local-scale genetic structure in the Japanese wild boar (Sus scrofa leucomystax): insights from autosomal microsatellites

Cited by 9 publications

References 34 publications

Genetic Differentiation of Wild Boar Populations in a Region Endangered by African Swine Fever

Genetic Differentiation of Wild Boar Populations in a Region Endangered by African Swine Fever

Mating of escaped domestic pigs with wild boar and possibility of their offspring migration after the Fukushima Daiichi Nuclear Power Plant accident

Spatial Genetic Structure and Demographic History of the Wild Boar in the Qinling Mountains, China

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