scholarly journals Population Genetic Structure of the Wild Boar (Sus scrofa) in the Carpathian Basin

Genes ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1194
Author(s):  
Bendegúz Mihalik ◽  
Krisztián Frank ◽  
Putri Kusuma Astuti ◽  
Dániel Szemethy ◽  
László Szendrei ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Wild Boar ◽  
Sus Scrofa ◽  
Genetic Difference ◽  
Carpathian Basin ◽  
Ice Age ◽  
Reproduction Rate ◽  
The North ◽  
Key Factor ◽  
Physical Barriers

In the Carpathian Basin the wild boar (Sus scrofa) belongs among the most important game species both ecologically and economically, therefore knowing more about the basics of the genetics of the species is a key factor for accurate and sustainable management of its population. The aim of this study was to estimate the genetic diversity and to elucidate the genetic structure and location of wild boar populations in the Carpathian Basin. A total of 486 samples were collected and genotyped using 13 STR markers. The number of alleles varied between 4 and 14, at 9 of the 13 loci the observed heterozygosity was significantly different (p < 0.05) from the expected value, showing remarkable introgression in the population. The population was separated into two groups, with an Fst value of 0.03, suggesting the presence of two subpopulations. The first group included 147 individuals from the north-eastern part of Hungary, whereas the second group included 339 samples collected west and south of the first group. The two subpopulations’ genetic indices are roughly similar. The lack of physical barriers between the two groups indicates that the genetic difference is most likely caused by the high reproduction rate and large home range of the wild boars, or by some genetic traces’ having been preserved from both the last ice age and the period before the Hungarian water regulation.

Phenotypic and genotypic signature of saponin chemical composition in Chinese wild soybean (Glycine soja): revealing genetic diversity, geographical variation and dispersal history of the species

2018 ◽  
Vol 69 (11) ◽  
pp. 1126
Author(s):  
Yuya Takahashi ◽  
Xiang-Hua Li ◽  
Chigen Tsukamoto ◽  
Ke-Jing Wang
Keyword(s):  
Genetic Diversity ◽  
Chemical Composition ◽  
Genetic Structure ◽  
Southern China ◽  
Glycine Soja ◽  
Wild Soybean ◽  
Ice Age ◽  
High Genetic Diversity ◽  
The North ◽  
Or Genes

Saponin chemical composition was phenotyped and genotyped, and saponin composition-based geographical genetic diversity and differentiation were evaluated in Chinese wild soybean (Glycine soja Sieb. & Zucc.). Thirty-two phenotypes and 34 genotypes were confirmed from 3805 wild soybean accessions. Eleven phenotypes (AaαK, AaαIK, AaαIJK, AaBcEαJ, AaBcαK, AbEαIJ, AbαK, AbαIK, AbαIJK, AbβHAb and Aβ0) were newly detected. Four genes had frequencies: Sg-1a 78.8% and Sg-1b 21.0% at the Sg-1 locus; Sg-4 30.7% and Sg-6e 13.7% at their respective loci. The north-eastern and southern populations showed high genetic diversity; the Northeast region contained more novel variants (AuAe, A0, A0Bc, αH, αI αJ, αK, and AbβHAb), and the southern populations contained high frequencies of the Sg-4 gene. Gene differentiation (Fst) analysis suggested that Sg-4 and four group-α saponin alleles or genes (Sg-6e, Sg-6h, Sg-6i, Sg-6j) were important factors influencing the genetic structure and differentiation in Chinese wild soybeans. Geographical differentiation was characterised mainly by latitudinal differences, with two primary groups (north and south) based on saponin genes. Chinese wild soybean accessions differed from Japanese and South Korean ones in genetic structure based on saponin composition, the latter two being likely to have spread from southern China in the glacial stages during the last Ice Age.

scholarly journals Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses

BMC Genetics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 85 ◽  
Author(s):  
Sung Choi ◽  
Ji-Eun Lee ◽  
Young-Jun Kim ◽  
Mi-Sook Min ◽  
Inna Voloshina ◽  
...  
Keyword(s):  
Genetic Structure ◽  
East Asia ◽  
Wild Boar ◽  
Microsatellite Loci ◽  
Sus Scrofa

scholarly journals Contemporary Genetic Structure, Phylogeography and Past Demographic Processes of Wild Boar Sus scrofa Population in Central and Eastern Europe

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91401 ◽  
Author(s):  
Szilvia Kusza ◽  
Tomasz Podgórski ◽  
Massimo Scandura ◽  
Tomasz Borowik ◽  
András Jávor ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Eastern Europe ◽  
Wild Boar ◽  
Sus Scrofa ◽  
Central And Eastern Europe ◽  
Demographic Processes

Genetic Structure of the Wild Boar (Sus scrofa L.) Population in Portugal

2006 ◽  
Vol 2 (1) ◽  
Author(s):  
C. Fonseca ◽  
E. Ferreira ◽  
L. Souto ◽  
A. M.V.M. Soares
Keyword(s):  
Genetic Structure ◽  
Wild Boar ◽  
Sus Scrofa

scholarly journals The effects of habitat fragmentation on the genetic structure of wild boar (Sus scrofa) population in Lithuania

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Loreta Griciuvienė ◽  
Žygimantas Janeliūnas ◽  
Vaclovas Jurgelevičius ◽  
Algimantas Paulauskas
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variation ◽  
Genetic Structure ◽  
Habitat Fragmentation ◽  
Wild Boar ◽  
Sus Scrofa ◽  
Isolation By Distance ◽  
Wild Boar Population ◽  
Ecological Features

Abstract Background Wild boar (Sus scrofa) is a widely distributed ungulate whose success can be attributed to a variety of ecological features. The genetic variation and population structure of Lithuania’s wild boar population have not yet been thoroughly studied. The purposes of this study were to investigate the genetic diversity of S. scrofa and assess the effects of habitat fragmentation on the population structure of wild boar in Lithuania. A total of 96 S. scrofa individuals collected from different regions of Lithuania were genotyped using fifteen microsatellite loci. Results The microsatellite analysis of the wild boars indicated high levels of genetic diversity within the population. Microsatellite markers showed evidence of a single panmictic wild boar population in Lithuania according to STRUCTURE’s highest average likelihood, which was K = 1. This was supported by pairwise Fst values and AMOVA, which indicated no differentiation between the four sampling areas. The results of the Mantel test revealed a weak isolation by distance and geographic diversity gradients that persisted between locations. Motorway fencing and heavy traffic were not an effective barrier to wild boar movement. Conclusions There was limited evidence of population genetic structure among the wild boar, supporting the presence of a single population across the study area and indicating that there may be no barriers hindering wild boar dispersal across the landscape. The widespread wild boar population in Lithuania, the high level of genetic variation observed within subpopulations, and the low level of variation identified between subpopulations suggest migration and gene flow between locations. The results of this study should provide valuable information in future for understanding and comparing the detailed structure of wild boar population in Lithuania following the outbreak of African swine fever.

Wild boar (Sus scrofa L.) in the north of Western Siberia: history of expansion and modern distribution

2018 ◽  
Vol 64 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Nickolay Markov ◽  
Nadezhda Pankova ◽  
Ilya Filippov
Keyword(s):  
Wild Boar ◽  
Sus Scrofa ◽  
Western Siberia ◽  
The North ◽  
Modern Distribution ◽  
History Of
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