scholarly journals Genetic Diversity and Population Structure in South African, French and Argentinian Angora Goats from Genome-Wide SNP Data

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0154353 ◽  
Author(s):  
Carina Visser ◽  
Simon F. Lashmar ◽  
Este Van Marle-Köster ◽  
Mario A. Poli ◽  
Daniel Allain
2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Gabriele Senczuk ◽  
Salvatore Mastrangelo ◽  
Paolo Ajmone-Marsan ◽  
Zsolt Becskei ◽  
Paolo Colangelo ◽  
...  

Abstract Background During the Neolithic expansion, cattle accompanied humans and spread from their domestication centres to colonize the ancient world. In addition, European cattle occasionally intermingled with both indicine cattle and local aurochs resulting in an exclusive pattern of genetic diversity. Among the most ancient European cattle are breeds that belong to the so-called Podolian trunk, the history of which is still not well established. Here, we used genome-wide single nucleotide polymorphism (SNP) data on 806 individuals belonging to 36 breeds to reconstruct the origin and diversification of Podolian cattle and to provide a reliable scenario of the European colonization, through an approximate Bayesian computation random forest (ABC-RF) approach. Results Our results indicate that European Podolian cattle display higher values of genetic diversity indices than both African taurine and Asian indicine breeds. Clustering analyses show that Podolian breeds share close genomic relationships, which suggests a likely common genetic ancestry. Among the simulated and tested scenarios of the colonization of Europe from taurine cattle, the greatest support was obtained for the model assuming at least two waves of diffusion. Time estimates are in line with an early migration from the domestication centre of non-Podolian taurine breeds followed by a secondary migration of Podolian breeds. The best fitting model also suggests that the Italian Podolian breeds are the result of admixture between different genomic pools. Conclusions This comprehensive dataset that includes most of the autochthonous cattle breeds belonging to the so-called Podolian trunk allowed us not only to shed light onto the origin and diversification of this group of cattle, but also to gain new insights into the diffusion of European cattle. The most well-supported scenario of colonization points to two main waves of migrations: with one that occurred alongside with the Neolithic human expansion and gave rise to the non-Podolian taurine breeds, and a more recent one that favoured the diffusion of European Podolian. In this process, we highlight the importance of both the Mediterranean and Danube routes in promoting European cattle colonization. Moreover, we identified admixture as a driver of diversification in Italy, which could represent a melting pot for Podolian cattle.


PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54997 ◽  
Author(s):  
Jessica L. Petersen ◽  
James R. Mickelson ◽  
E. Gus Cothran ◽  
Lisa S. Andersson ◽  
Jeanette Axelsson ◽  
...  

2020 ◽  
Vol 49 (6) ◽  
pp. 1083-1092
Author(s):  
S Goitom ◽  
M.G. Gicheha ◽  
F.K. Njonge ◽  
N Kiplangat

Indigenous cattle play a vital role in subsistence and livelihood of pastoral producers in Eritrea. In order to optimally utilize and conserve these valuable indigenous cattle genetic resources, the need to carry out an inventory of their genetic diversity was recognized. This study assessed the genetic variability, population structure and admixture of the indigenous cattle populations (ICPs) of Eritrea using a genotype by sequencing (GBS) approach. The authors genotyped 188 animals, which were sampled from 27 cattle populations in three diverse agro-ecological zones (western lowlands, highlands and eastern lowlands). The genome-wide analysis results from this study revealed genetic diversity, population structure and admixture among the ICPs. Averages of the minor allele frequency (AF), observed heterozygosity (HO), expected heterozygosity (HE), and inbreeding coefficient (FIS) were 0.157, 0.255, 0.218, and -0.089, respectively. Nei’s genetic distance (Ds) between populations ranged from 0.24 to 0.27. Mean population differentiation (FST) ranged from 0.01 to 0.30. Analysis of molecular variance revealed high genetic variation between the populations. Principal component analysis and the distance-based unweighted pair group method and arithmetic mean analyses revealed weak substructure among the populations, separating them into three genetic clusters. However, multi-locus clustering had the lowest cross-validation error when two genetically distinct groups were modelled. This information about genetic diversity and population structure of Eritrean ICPs provided a basis for establishing their conservation and genetic improvement programmes. Keywords: genetic variability, molecular characterization, population differentiation


2020 ◽  
Author(s):  
Léa Boyrie ◽  
Corentin Moreau ◽  
Florian Frugier ◽  
Christophe Jacquet ◽  
Maxime Bonhomme

AbstractThe quest for genome-wide signatures of selection in populations using SNP data has proven efficient to uncover genes involved in conserved or adaptive molecular functions, but none of the statistical methods were designed to identify interacting genes as targets of selective processes. Here, we propose a straightforward statistical test aimed at detecting epistatic selection, based on a linkage disequilibrium (LD) measure accounting for population structure and heterogeneous relatedness between individuals. SNP-based (Trv) and window-based (TcorPC1v) statistics fit a Student distribution, allowing to easily and quickly test the significance of correlation coefficients in the frame of Genome-Wide Epistatic Selection Scans (GWESS) using candidate genes as baits. As a proof of concept, use of SNP data from the Medicago truncatula symbiotic legume plant uncovered a previously unknown gene coadaptation between the MtSUNN (Super Numeric Nodule) receptor and the MtCLE02 (CLAVATA3-Like) signalling peptide, and experimental evidence accordingly supported a MtSUNN-dependent negative role of MtCLE02 in symbiotic root nodulation. Using human HGDP-CEPH SNP data, our new statistical test uncovered strong LD between SLC24A5 and EDAR worldwide, which persists after correction for population structure and relatedness in Central South Asian populations. This result suggests adaptive genetic interaction or coselection between skin pigmentation and the ectodysplasin pathway involved in the development of ectodermal organs (hairs, teeth, sweat glands), in some human populations. Applying this approach to genome-wide SNP data will foster the identification of evolutionary coadapted gene networks.Author summaryPopulation genomic methods have allowed to identify many genes associated with adaptive processes in populations with complex histories. However, they are not designed to identify gene coadaptation between genes through epistatic selection, in structured populations. To tackle this problem, we developed a straightforward LD-based statistical test accounting for population structure and heterogeneous relatedness between individuals, using SNP-based (Trv) or windows-based (TcorPC1v) statistics. This allows easily and quickly testing for significance of correlation coefficients between polymorphic loci in the frame of Genome Wide Epistatic Selection Scans (GWESS). Following detection of gene coadaptation using SNP data from human and the model plant Medicago truncatula, we report experimental evidence of genetic interaction between two receptors involved in the regulation of root nodule symbiosis in Medicago truncatula. This test opens new avenues for exploring the evolution of genes as interacting units and thus paves the way to infer new networks based on evolutionary coadaptation between genes.


2020 ◽  
Author(s):  
Qilin Chen ◽  
Gary Peng ◽  
Randy Kutcher ◽  
Fengqun Yu

Abstract Background: Leptosphaeria maculans is a serious concern for canola production in Canada. For effective management, knowledge of the pathogen’s genetic variability and population structure is a prerequisite. Despite some information on race dynamics of the western Canadian L. maculans population in recent years, genetic diversity based on a large number of genome-wide DNA variants has not been investigated.Results: From 1,590 L. maculans isolates collected from 23 field sites in three provinces: Manitoba, Saskatchewan and Alberta, Canada, in the years 2007-2008 and 2012-2014, 150 representative isolates were selected and whole-genome sequenced, and 31,870 polymorphic DNA variants (SNPs and InDels) were used to study L. maculans genetic diversity and population structure. Cluster analysis showed that the genetic diversity levels and isolate groupings varied with the number and genomic regions of the variants involved; isolates collected in 2012-2014 were more genetically diverse than those collected in 2007-2008 when genome-wide variants were considered. The genome wide association study (GWAS) detected variants in egn4_Lema_T86290 (AvrLm4-7), egn4_Lema_T86300 and egn4_Lema_T86310 associated with the year of collection, but no variants was found to be associated with the province or specific location from which the isolates were collected. Population structure analysis indicated the presence of three distinct sub-populations in western Canada. While isolates from Saskatchewan were mainly of one sub-population (sub-pop1), the Alberta isolates comprised two sub-populations (sub-pop1 and sub-pop2), and all the 3 subpopulations were found in Manitoba.Conclusion: The genetic diversity of the western Canadian L. maculans population varied among provinces. It was highly admixed in Manitoba, followed by that in Alberta. The Saskatchewan population had the lowest genetic diversity. Significant genome variation between 2007-2008 and 2012-2014 occurred in the genes egn4_Lema_T86290 (AvrLm4-7), egn4_Lema_T86300 and egn4_Lema_T86310), with AvrLm4-7 becoming much more common in the L. maculans population in the later period.


2019 ◽  
Vol 50 (5) ◽  
pp. 449-459 ◽  
Author(s):  
T. Tozaki ◽  
M. Kikuchi ◽  
H. Kakoi ◽  
K. Hirota ◽  
S. Nagata ◽  
...  

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