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Berghöfer J, Khaveh N, Mundlos S, Metzger J. Simultaneous testing of rule- and model-based approaches for runs of homozygosity detection opens up a window into genomic footprints of selection in pigs. BMC Genomics 2022; 23:564. [PMID: 35933356 PMCID: PMC9357325 DOI: 10.1186/s12864-022-08801-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Past selection events left footprints in the genome of domestic animals, which can be traced back by stretches of homozygous genotypes, designated as runs of homozygosity (ROHs). The analysis of common ROH regions within groups or populations displaying potential signatures of selection requires high-quality SNP data as well as carefully adjusted ROH-defining parameters. In this study, we used a simultaneous testing of rule- and model-based approaches to perform strategic ROH calling in genomic data from different pig populations to detect genomic regions under selection for specific phenotypes. RESULTS Our ROH analysis using a rule-based approach offered by PLINK, as well as a model-based approach run by RZooRoH demonstrated a high efficiency of both methods. It underlined the importance of providing a high-quality SNP set as input as well as adjusting parameters based on dataset and population for ROH calling. Particularly, ROHs ≤ 20 kb were called in a high frequency by both tools, but to some extent covered different gene sets in subsequent analysis of ROH regions common for investigated pig groups. Phenotype associated ROH analysis resulted in regions under potential selection characterizing heritage pig breeds, known to harbour a long-established breeding history. In particular, the selection focus on fitness-related traits was underlined by various ROHs harbouring disease resistance or tolerance-associated genes. Moreover, we identified potential selection signatures associated with ear morphology, which confirmed known candidate genes as well as uncovered a missense mutation in the ABCA6 gene potentially supporting ear cartilage formation. CONCLUSIONS The results of this study highlight the strengths and unique features of rule- and model-based approaches as well as demonstrate their potential for ROH analysis in animal populations. We provide a workflow for ROH detection, evaluating the major steps from filtering for high-quality SNP sets to intersecting ROH regions. Formula-based estimations defining ROHs for rule-based method show its limits, particularly for efficient detection of smaller ROHs. Moreover, we emphasize the role of ROH detection for the identification of potential footprints of selection in pigs, displaying their breed-specific characteristics or favourable phenotypes.
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Affiliation(s)
- Jan Berghöfer
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Nadia Khaveh
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Stefan Mundlos
- Research Group Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, BCRT, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Julia Metzger
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany. .,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany.
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Rafter P, McHugh N, Pabiou T, Berry D. Inbreeding trends and genetic diversity in purebred sheep populations. Animal 2022; 16:100604. [DOI: 10.1016/j.animal.2022.100604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 07/01/2022] [Accepted: 07/11/2022] [Indexed: 11/30/2022] Open
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Wu RS, Wang HC, Su CL, Wang PH, Lin EC. Pedigree-based analyses of changes in genetic variability in three major swine breeds in Taiwan after a disease outbreak. Transl Anim Sci 2022; 6:txac043. [PMID: 35592093 PMCID: PMC9113419 DOI: 10.1093/tas/txac043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/31/2022] [Indexed: 11/14/2022] Open
Abstract
Pedigree analysis was performed in three major Taiwanese swine breeds to evaluate the genetic variability in the current population and determine the main reason for genetic diversity (GD) loss after the occurrence of foot-and-mouth disease (FMD) in Taiwan. The pedigree files of the Duroc, Landrace, and Yorkshire breeds, containing 60,237, 87,177, and 34,373 records, respectively, were analyzed. We divided the population into two subpopulations (pre-1998 and post-1998) to determine the role of FMD in GD loss. Pedigree completeness and related indicators were analyzed to evaluate the pedigree quality, and several parameters were used to measure the levels of GD and further used to determine the major cause of GD loss. The pedigree completeness indexes for the different breeds were higher than 0.60, and the trend was enhanced after the FMD outbreak. The estimated proportion of random genetic drift in GD loss increased in all breeds over time (from 62.64% to 78.44% in Duroc; from 26.26% to 57.99% in Landrace; and from 47.97% to 55.00% in Yorkshire, respectively). The effective population size of Duroc and Landrace were increased by the time (Duroc: from 61.73 to 84.75; Landrace: from 108.70 to 113.64); however, it shows opposite trend in Yorkshire population (decline from 86.21 to 50.00). In summary, the occurrence of FMD led to the major loss of GD loss by random genetic drift. Therefore, for the recovery of GD, breeders in Taiwan should increase the effective population size with newly imported genetic materials and adjust the breeding strategy to reduce the inbreeding rate.
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Affiliation(s)
- Ruei-Syuan Wu
- Department of Animal Science and Technology, National Taiwan University, Taipei, Taiwan
| | | | | | - Pei-Hwa Wang
- Department of Animal Science and Technology, National Taiwan University, Taipei, Taiwan
| | - En-Chung Lin
- Department of Animal Science and Technology, National Taiwan University, Taipei, Taiwan
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Snegin EA, Makeeva VM, Kaledin AP, Ostapchuk AM, Alazneli ID, Smurov AV. Genetic diversity of the Central European wild boar (Sus scrofa scrofa) population and domestic pig (Sus scrofa domesticus) breeds based on a microsatellite DNA locus. Vavilovskii Zhurnal Genet Selektsii 2022; 25:822-830. [PMID: 35083403 PMCID: PMC8755522 DOI: 10.18699/vj21.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 09/18/2021] [Accepted: 09/27/2021] [Indexed: 11/23/2022] Open
Abstract
The results of studies of the genetic structure of the Central European wild boar (Sus scrofa scrofa) population
and four breeds of domestic pigs (Duroc, Yorkshire, Large White and Landrace) bred in the Central Black Earth
region of Russia are presented in this work. Based on 12 microsatellite loci, a significant ( p <0.05) decrease in the
level of genetic variability in bred breeds was shown. The expected heterozygosity and Shannon index were as follows:
in the wild boar, Ho = 0.763 ± 0.026, I = 1.717 ± 0.091; in the Duroc breed, Ho = 0.569 ± 0.068, I = 1.191 ± 0.157;
in the Landrace, Ho = 0.618 ± 0.062, I = 1.201 ± 0.147; in the Large White, Ho = 0.680 ± 0.029, I = 1.362 ± 0.074; and in
the Yorkshire, Ho = 0.642 ± 0.065, I = 1.287 ± 0.156. The results of checking genotypic Hardy–Weinberg equilibrium
based on the G-test of maximum likelihood demonstrated that the overwhelming majority of loci in the wild boar
population were in the state of said equilibrium. By contrast, in pig breed populations, some loci demonstrated a
significant deviation from the indicated equilibrium. In addition, the Yorkshire, Large White, and Landrace populations
had loci, for which the hypothesis of neutrality was reliably rejected based on the results of the Ewens–Watterson
test. The revealed private alleles, characteristic of the wild boar and breeds, can later be used to identify
them. The ordination of the centroids of different herds in the space of the first two principal coordinates based on
the matrix of pairwise estimates of Nei’s genetic distances showed that the most distant populations are the Duroc
and Boar breeds, and the most genetically close are the Yorkshire and Landrace breeds. The closest to the wild boar
population was the Large White breed. The assessment of the effective size, carried out using the method based
on the linkage disequilibrium and the molecular coancestry method, showed that in all studied groups, including
the wild boar population, the effective size was less than 100 individuals. The low effective size of the wild boar
population (Ne = 21.8, Neb = 4.0) is probably caused by the death and shooting of animals due to Pestis africana
suum.
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Affiliation(s)
| | | | - A. P. Kaledin
- Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
| | - A. M. Ostapchuk
- Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
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Krupa E, Moravčíková N, Krupová Z, Žáková E. Assessment of the Genetic Diversity of a Local Pig Breed Using Pedigree and SNP Data. Genes (Basel) 2021; 12:1972. [PMID: 34946921 PMCID: PMC8702119 DOI: 10.3390/genes12121972] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/06/2021] [Accepted: 12/08/2021] [Indexed: 12/04/2022] Open
Abstract
Herein, the genetic diversity of the local Přeštice Black-Pied pig breed was assessed by the simultaneous analysis of the pedigree and single nucleotide polymorphism (SNP) data. The information about sire line, dam, date of birth, sex, breeding line, and herd for 1971 individuals was considered in the pedigree analysis. The SNP analysis (n = 181) was performed using the Illumina PorcineSNP60 BeadChip kit. The quality of pedigree and SNPs and the inbreeding coefficients (F) and effective population size (Ne) were evaluated. The correlations between inbreeding based on the runs of homozygosity (FROH) and pedigree (FPED) were also calculated. The average FPED for all animals was 3.44%, while the FROH varied from 10.81% for a minimum size of 1 Mbp to 3.98% for a minimum size of 16 Mbp. The average minor allele frequency was 0.28 ± 0.11. The observed and expected within breed heterozygosities were 0.38 ± 0.13 and 0.37 ± 0.12, respectively. The Ne, obtained using both the data sources, reached values around 50 animals. Moderate correlation coefficients (0.49-0.54) were observed between FPED and FROH. It is necessary to make decisions that stabilize the inbreeding rate in the long-term using optimal contribution selection based on the available SNP data.
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Affiliation(s)
- Emil Krupa
- Institute of Animal Science, 104 00 Prague, Czech Republic; (Z.K.); (E.Ž.)
| | - Nina Moravčíková
- Faculty of Agrobiology and Food Resources, Institute of Nutrition and Genomics, Slovak University of Agriculture, 949 76 Nitra, Slovakia;
| | - Zuzana Krupová
- Institute of Animal Science, 104 00 Prague, Czech Republic; (Z.K.); (E.Ž.)
| | - Eliška Žáková
- Institute of Animal Science, 104 00 Prague, Czech Republic; (Z.K.); (E.Ž.)
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The Nero Lucano Pig Breed: Recovery and Variability. Animals (Basel) 2021; 11:ani11051331. [PMID: 34067067 PMCID: PMC8150585 DOI: 10.3390/ani11051331] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/01/2021] [Accepted: 05/04/2021] [Indexed: 01/14/2023] Open
Abstract
Simple Summary The reduction of biodiversity determines the loss of species and breeds, with the consequent disappearance of production systems, knowledge, cultures and local traditions. The Nero Lucano pig is a native breed of Southern Italy (Basilicata region) recovered, starting from 2001, because of the high quality of its cured meat products. This study gives a picture of the low genetic variability of this breed. Knowledge of individual inbreeding levels allows for planning of interventions to reduce the negative effects of the low effective population size and, then, improve the efficiency of the actual recovery project. Abstract The Nero Lucano (NL) pig is a black coat colored breed characterized by a remarkable ability to adapt to the difficult territory and climatic conditions of Basilicata region in Southern Italy. In the second half of the twentieth century, technological innovation, agricultural evolution, new breeding methods and the demand for increasingly lean meat brought the breed almost to extinction. Only in 2001, thanks to local institutions such as: the Basilicata Region, the University of Basilicata, the Regional Breeders Association and the Medio Basento mountain community, the NL pig returned to populate the area with the consequent possibility to appreciate again its specific cured meat products. We analyzed the pedigrees recorded by the breeders and the Illumina Porcine SNP60 BeadChip genotypes in order to obtain the genetic structure of the NL pig. Results evidenced that this population is characterized by long mean generation intervals (up to 3.5 yr), low effective population size (down to 7.2) and high mean inbreeding coefficients (FMOL = 0.53, FROH = 0.39). This picture highlights the low level of genetic variability and the critical issues to be faced for the complete recovery of this population.
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Próchniak T, Kasperek K, Knaga S, Rozempolska-Rucińska I, Batkowska J, Drabik K, Ziȩba G. Pedigree Analysis of Warmblood Horses Participating in Competitions for Young Horses. Front Genet 2021; 12:658403. [PMID: 33936176 PMCID: PMC8082513 DOI: 10.3389/fgene.2021.658403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/25/2021] [Indexed: 11/18/2022] Open
Abstract
The aim of the study was to characterize the population structure and assess the genetic diversity of warmblood horses used in the show jumping discipline. Pedigree data of 1,048 horses participating in the Polish Championships for Young Horses were analyzed. The pedigree of these animals included 12 863 individuals. The study consisted in analysis of the pedigree structure of the horses and characterization of the homozygosity and genetic diversity in the population. It was found that pedigree completeness and depth were sufficient for reliable assessment of the genetic diversity in the analyzed population. Although the average inbreeding coefficient exhibited at an acceptable level (approx. 1.01%), the increasing percentage of inbred animals seems disturbing. The results have shown that modern sport horses are derived from a small number of high-quality sires whose offspring were intensively used for breeding—bottleneck effect. In consequence, a greater part of the genetic variation reduction was observed in the non-founder generations. Given the changes in the studied population, the level of inbreeding in modern sport horses should be monitored, and pedigree data should be effectively used in selection for mating.
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Affiliation(s)
- Tomasz Próchniak
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Kornel Kasperek
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Sebastian Knaga
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Iwona Rozempolska-Rucińska
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Justyna Batkowska
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Kamil Drabik
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
| | - Grzegorz Ziȩba
- Institute of Biological Bases of Animal Production, University of Life Sciences in Lublin, Lublin, Poland
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Snegin EA, Kramarenko AS, Artemchuk OY, Kramarenko SS. Intra- and interbreed genetic heterogeneity and divergence in four commercial pig breeds based on microsatellite markers. REGULATORY MECHANISMS IN BIOSYSTEMS 2021. [DOI: 10.15421/022120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
In recent years, there has been an increasing amount of attention paid to the genetic health of domesticated animals and its relationship with the level of inbreeding and genetic diversity. At the same time, insufficient attention is still paid to the study of intrabreed genetic diversity and intrabreed stratification. The main goal of our work was to analyze the intra- and interbreed genetic diversity of commercial pig breeds on the basis of DNA microsatellite (MS-DNA) polymorphism. In total, the work used data for 3,308 pigs, which represented 11 herds. The animals belonged to four commercial pig breeds – Duroc (DR), Yorkshire (YR), Landrace (LN) and Large White (LW). 12 microsatellite loci recommended by ISAG-FAO and arranged in one multiplex panel (S0101, S0155, S0228, S0355, S0386, SW24, SW240, SW72, SW857, SW911, SW936, SW951) were used as DNA markers. When analyzing the intra- and interbreed variability of 11 herds, we found that all studied breeds significantly differed in terms of the proportion of both rare and the most common alleles. At the same time, the noted differences were determined, first of all, by the variability between individual herds within their breed. The location of herd centroids is random and is not consistent with their breed affiliation at all. When individuals belonging to the same breed are combined, the centroids of pig breeds in the space of first two axes from a Principal Coordinate Analysis form two clusters. The first one contains the only red pig breed (DR) used in the analysis, while the second one contains white pig breeds. In six pig herds the Ne estimates were below 50 inds., in two herds they were in the range of 50–100 inds., and finally in three herds the Ne estimates exceeded 100 inds. The analysis of the genetic variability of pigs of four commercial breeds showed that the high level of interbreed differences is caused, first of all, by the high variability among pig herds within each studied breed. Such intrabreed stratification can be formed due to the manifestation of many causes: different genetic basis of the founders of intrabreed genealogical groups, geographical isolation, different directions of selection within individual herds, exchange of animals between separate herds, the use of inbreeding in the practice of selection together with isolation, etc. Important consequences of intrabreed stratification are an increase in the level of interherd diversity (which is not lower than the level of interbreed diversity) against the background of a decrease in variability within individual herds, as well as a significant deficit of heterozygotes and an increase in the role of negative genetic and demographic processes. Thus, the existence of genetic heterogeneity within commercial pig breeds should be considered as an essential element in the history of their formation and breeding.
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Kharzinova V, Dotsev A, Solovieva A, Sergeeva O, Bryzgalov G, Reyer H, Wimmers K, Brem G, Zinovieva N. Insight into the Current Genetic Diversity and Population Structure of Domestic Reindeer ( Rangifer tarandus) in Russia. Animals (Basel) 2020; 10:ani10081309. [PMID: 32751575 PMCID: PMC7459450 DOI: 10.3390/ani10081309] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 01/13/2023] Open
Abstract
Simple Summary Reindeer herding is the most important agricultural sector of the Russian Far North, representing the local genetic resources that compose original genetic wealth for the indigenous Arctic ethnic groups, which has maintained their life in harsh conditions of the area for many years. Conservation about and further rational use of such resources are very difficult without taking into account genetic diversity. Here, for the first time, the current genetic composition of the four officially recognized reindeer breeds and their ecotypes inhabiting the area from the Kola Peninsula in the west to the Chukotka region in the east are described using a single-nucleotide polymorphism (SNP) array. Our findings reveal the genetic uniqueness of each breed, formed by the consequences of ecological processes, internal gene flow, breeding practices, and geographical features. The obtained results will assist the ongoing breeding policy to develop accurate programs to preserve genetic resources of this essential element of Russia’s Far North ecosystem. Abstract To examine the genetic diversity and population structure of domestic reindeer, using the BovineHD BeadChip, we genotyped reindeer individuals belonging to the Nenets breed of the five main breeding regions, the Even breed of the Republic of Sakha, the Evenk breed of the Krasnoyarsk and Yakutia regions, and the Chukotka breed of the Chukotka region and its within-breed ecotype, namely, the Chukotka–Khargin, which is bred in Yakutia. The Chukotka reindeer was shown to have the lowest genetic diversity in terms of the allelic richness and heterozygosity indicators. The principal component analysis (PCA) results are consistent with the neighbor-net tree topology, dividing the reindeer into groups according to their habitat location and origin of the breed. Admixture analysis indicated a genetic structuring of two groups of Chukotka origin, the Even breed and most of the geographical groups of the Nenets breed, with the exception of the Murmansk reindeer, the gene pool of which was comprised of the Nenets and apparently the native Sami reindeer. The presence of a genetic component of the Nenets breed in some reindeer inhabiting the Krasnoyarsk region was detected. Our results provide a deeper insight into the current intra-breeding reindeer genetic diversity, which is an important requirement for future reindeer herding strategies and for animal adaptation to environmental changes.
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Affiliation(s)
- Veronika Kharzinova
- L.K. Ernst Federal Science Center for Animal Husbandry, 60, Settl. Dubrovitsy, Podolsk Municipal District, 142132 Moscow Region, Russia; (A.D.); (A.S.); (G.B.)
- Correspondence: (V.K.); (N.Z.); Tel.: +7-4967651104 (V.K.); +7-4967651404 (N.Z.)
| | - Arsen Dotsev
- L.K. Ernst Federal Science Center for Animal Husbandry, 60, Settl. Dubrovitsy, Podolsk Municipal District, 142132 Moscow Region, Russia; (A.D.); (A.S.); (G.B.)
| | - Anastasiya Solovieva
- L.K. Ernst Federal Science Center for Animal Husbandry, 60, Settl. Dubrovitsy, Podolsk Municipal District, 142132 Moscow Region, Russia; (A.D.); (A.S.); (G.B.)
| | - Olga Sergeeva
- Research Institute of Agriculture and Ecology of the Arctic—Branch of the FRC KSC SB RAS, 663302 Norilsk, Russia;
| | | | - Henry Reyer
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Mecklenburg-Vorpommern, 18196 Dummerstorf, Germany; (H.R.); (K.W.)
| | - Klaus Wimmers
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Mecklenburg-Vorpommern, 18196 Dummerstorf, Germany; (H.R.); (K.W.)
| | - Gottfried Brem
- L.K. Ernst Federal Science Center for Animal Husbandry, 60, Settl. Dubrovitsy, Podolsk Municipal District, 142132 Moscow Region, Russia; (A.D.); (A.S.); (G.B.)
- Institut für Tierzucht und Genetik, University of Veterinary Medicine (VMU), Veterinärplatz, A-1210 Vienna, Austria
| | - Natalia Zinovieva
- L.K. Ernst Federal Science Center for Animal Husbandry, 60, Settl. Dubrovitsy, Podolsk Municipal District, 142132 Moscow Region, Russia; (A.D.); (A.S.); (G.B.)
- Correspondence: (V.K.); (N.Z.); Tel.: +7-4967651104 (V.K.); +7-4967651404 (N.Z.)
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Mariani E, Summer A, Ablondi M, Sabbioni A. Genetic Variability and Management in Nero di Parma Swine Breed to Preserve Local Diversity. Animals (Basel) 2020; 10:ani10030538. [PMID: 32213904 PMCID: PMC7142944 DOI: 10.3390/ani10030538] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 03/21/2020] [Accepted: 03/22/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The Nero di Parma is an Italian pig breed with a peculiar breed history. It originates from a native breed called “Nera Parmigiana”, which, in the beginning of the 20th century, was crossed with highly productive breeds, causing the extinction of the original type in the 1970s. During the 1990s a growing interest for organic products and outdoor farming brought the attention back to the local type and a breed recovery project started to reestablish the original breed. The aim of the study was to investigate the genetic diversity of the Nero di Parma breed to provide further insights for breed conservation and to propose breeding strategies. Abstract Nero di Parma is an endangered swine breed reared in the North of Italy which nowadays counts 1603 alive pigs. The aims of this study were (i) to explore the genetic diversity of the breed at pedigree level to determine the actual genetic structure, (ii) to evaluate the effectiveness of the breeding recovery project and (iii) to potentially propose breeding strategies for the coming generations. The pedigree dataset contained 14,485 animals and was used to estimate demographic and genetic parameters. The mean equivalent complete generations was equal to 6.47 in the whole population, and it reached a mean value of 7.94 in the live animals, highlighting the quality of the available data. Average inbreeding was 0.28 in the total population, whereas it reached 0.31 in the alive animals and it decreased to 0.27 if only breeding animals were considered. The rate of inbreeding based on the individual increase in inbreeding was equal to 7%. This study showed the effectiveness of the recovery project of the breed. Nevertheless, we found that inbreeding and genetic diversity have reached alarming levels, therefore novel breeding strategies must be applied to ensure long-term survival of this breed.
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Bunter KL, Hermesch S. What does the ‘closed herd’ really mean for Australian breeding companies and their customers? ANIMAL PRODUCTION SCIENCE 2017. [DOI: 10.1071/an17321] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The perception that the genetic background of the Australian pig population is limiting for genetic improvement of commercial pigs in Australia is considered in the context of well established theory combined with practical evidence. The diversity of pig breeds used in modern commercial pig-breeding programs is diminished worldwide relative to all the pig breeds available. Australia is no different in this respect. The use of predominantly three main breeds (Large White, Landrace, Duroc) and synthetic lines, with contributions from other minor breeds to form the basis of a cross-breeding system for commercial pig production is well established internationally. The Australian concern of relatively small founder populations is potentially of relevance, from a theoretical perspective, for (1) the prevalence of defects or the presence of desirable alleles, and (2) the loss of genetic variation or increase in inbreeding depression resulting from increased inbreeding in closed nucleus lines, potentially reducing response to selection. However, rates of response achieved in Australian herds are generally commensurate with the performance recording and selection emphasis applied, and do not appear to be unduly restricted. Moreover, favourable alleles present in unrepresented breeds are frequently present in the three major breeds elsewhere, and therefore would be expected to be present within the Australian populations. Wider testing would provide confirmation of this. Comparison of estimates of effective population size of Australian populations with experimental selection lines overseas (e.g. INRA) or other intensely selected species (e.g. Holstein cattle) suggest adequate genetic diversity to achieve ongoing genetic improvement in the Australian pig industry. However, fitness traits should be included in breeding goals. What remains to be seen is whether novel phenotypes or genotypes are required to meet future challenges, which might be imposed by changes in the environment (e.g. climate change, disease) or market needs. Given probable overlap in genetic merit across Australian and foreign populations for unselected attributes, we suggest that sufficient genetic resources are already present in Australian herds to continue commercial progress within existing Australian populations that have adapted to Australian conditions.
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Krupa E, Žáková E, Krupová Z, Michaličková M. Estimation of genetic parameters for teat number and reproduction and production traits from different data sources for Czech dam breeds. Livest Sci 2016. [DOI: 10.1016/j.livsci.2016.07.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Nicholas FW, Arnott ER, McGreevy PD. Hybrid vigour in dogs? Vet J 2016; 214:77-83. [PMID: 27387730 DOI: 10.1016/j.tvjl.2016.05.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 05/16/2016] [Accepted: 05/25/2016] [Indexed: 11/27/2022]
Abstract
Evidence from other species justifies the hypotheses that useful hybrid vigour occurs in dogs and that it can be exploited for improved health, welfare and fitness for purpose. Unfortunately, most of the relevant published canine studies do not provide estimates of actual hybrid vigour because of inadequate specification of the parentage of mixed-bred dogs. To our knowledge, only three published studies have shed any light on actual hybrid vigour in dogs. There are two reports of actual hybrid vigour between Labrador and Golden retrievers, the first ranging from +2.5% to -6.0% for components of a standardised applied-stimulus behavioural test, and the second being at least +12.4% for chance of graduating as a guide dog. The third study provides a minimum estimate of negative actual hybrid vigour: crossbreds between Labrador retrievers and poodles had a higher prevalence of multifocal retinal dysplasia than the average prevalence in their purebred parent breeds. The lack of estimates of actual hybrid vigour can be overcome by including the exact nature of the cross (e.g. F1, F2 or backcross) and their purebred parental breeds in the specification of mixed-bred dogs. Even if only F1 crossbreds can be categorised, this change would enable researchers to conduct substantial investigations to determine whether hybrid vigour has any utility for dog breeding.
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Affiliation(s)
- Frank W Nicholas
- School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia.
| | - Elizabeth R Arnott
- School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Paul D McGreevy
- School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
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