The three mussel species comprising the complex are widespread across Europe and readily hybridize when they occur in sympatry, resulting in a mosaic of populations with varying genomic backgrounds. Two of these species, and , are extensively cultivated across Europe, with annual production exceeding 230,000 tonnes. The third species, , is considered commercially damaging as hybridization with this species results in weaker shells and poor meat quality. We therefore used restriction site associated DNA sequencing to generate high-resolution insights into the structure of the complex across Europe and to resolve patterns of introgression. Inferred species distributions were concordant with the results of previous studies based on smaller numbers of genetic markers, with and predominating in northern and southern Europe respectively, while introgression between these species was most pronounced in northern France and the Shetland Islands. We also detected traces of ancestry in several northern European populations, especially around the Baltic and in northern Scotland. Finally, genome-wide heterozygosity, whether quantified at the population or individual level, was lowest in , intermediate in and highest in , while introgression was positively associated with heterozygosity in but negatively associated with heterozygosity in . Our study will help to inform mussel aquaculture by providing baseline information on the genomic backgrounds of different populations across Europe and by elucidating the effects of introgression on genome-wide heterozygosity, which is known to influence commercially important traits such as growth, viability, and fecundity in mussels.
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http://dx.doi.org/10.1111/eva.12974 | DOI Listing |
Heliyon
January 2025
Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040, Almaty, Kazakhstan.
Horses are animals traditionally playing prominent role as both food source and working animals for Kazakh people. Zhabe horses are traditional type of indigenous Kazakh horses characterized by versatility and adaptation to conditions of Central Asia. The present work focuses on examination of genetic structure of Zhabe horses using SNP genotyping with addition of previously published data.
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory for Regenerative Biology, National Institute for Basic Biology, Okazaki, Aichi, Japan.
Analysis of genome-scale evolution has been difficult in large, endangered animals because opportunities to collect high-quality genetic samples are limited. There is a need for novel field-friendly, cost-effective genetic techniques. This study conducted an exome-wide analysis of a total of 42 chimpanzees (Pan troglodytes) across six African regions, providing insights into population discrimination techniques.
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January 2025
Key Laboratory of Grassland Ecosystem (Ministry of Education), Pratacultural College, Gansu Agricultural University, Lanzhou, 730070, China.
Microsatellite markers are cost-effective, rapid, efficient, and show great advantages in in large-sample kinship analysis and population structure studies. However, microsatellite loci are seriously underdeveloped in non-model organisms. The plateau zokor (Eospalax baileyi) is a key species living underground in the Tibetan Plateau, the effective management of which has long been challenging.
View Article and Find Full Text PDFFront Plant Sci
December 2024
State key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China.
Introduction: Rye ( L.) played a very important role in wheat genetic improvement and forage production worldwide. However, since rye is a kind of cross-pollinated plant, high levels of genetic heterozygosity and heterogeneity existed in the genome.
View Article and Find Full Text PDFGenet Sel Evol
December 2024
State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.
Background: The genome-wide association study (GWAS) is a powerful method for mapping quantitative trait loci (QTL). However, standard GWAS can detect only QTL that segregate in the mapping population. Crossing populations with different characteristics increases genetic variability but F2 or back-crosses lack mapping resolution due to the limited number of recombination events.
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