MOESM13 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 13: Figure S7. Genetic relationship defined with multidimensional scaling analysis between Italian and 62 European cattle breeds. The breeds were grouped according to their geographical origins and distributions. Northern_Europe (Belgian Blue, Dexter, Kerry, Lithuanian Light Grey, Lithuanian White Backed, Groningen Whitehead, Lakenvelder, Meuse-Rhine-Ijjsel, Norwegian Red, Finnish Ayrshire, Belted Galloway, Galloway, Angus, Scottish Highland, South Devon), England (Devon, Guernsey, Hereford, Longhorn, Lincoln Red, Milking Shorthorn, Red Poll, Beef Shorthorn, Sussex, Welsh Blach, White Park), Spain (Berrenda en Negro, Berrenda en Colorado, Cardena Andaluza, Menorquina, Pirena…

MOESM6 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 6: Figure S3. Distribution of all ROH within breeds according to their size (kb).

MOESM2 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 2: Table S1. Name of the breeds, geographic coordinates (longitude and latitude) of the center of origin, sample size before (n-PreQC) and after (n-PostQC) genotyping quality control, and origin of genotyping data.

MOESM3 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 3: Figure S1. Trends in historic effective population size (Ne) (from 13 to 98 generations).

MOESM1 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 1. Description of each Italian local cattle breed involved in this study [68].

Genome-wide analysis reveals the patterns of genetic diversity and population structure of 8 Italian local chicken breeds

2021

The aim of this study was to conduct a genome-wide comparative analysis of 8 local Italian chicken breeds (Ermellinata di Rovigo, Millefiori di Lonigo [PML], Polverara Bianca, Polverara Nera, Padovana, Pepoi [PPP], Robusta Lionata, and Robusta Maculata), all under a conservation plan, to understand their genetic diversity and population structure. A total of 152 animals were analyzed using the Affymetrix Axiom 600 K Chicken Genotyping Array. The levels of genetic diversity were highest and lowest in PML and PPP, respectively. The results of genomic inbreeding based on runs of homozygosity (ROH; FROH) showed marked differences among breeds and ranged from 0.161 (PML) to 0.478 (PPP). Furtherm…

Genome-Wide Analyses Identifies Known and New Markers Responsible of Chicken Plumage Color

2020

Simple Summary In order to assess sources of variation related to Polverara breed plumage color (black vs. white), we carried out genome-wide analyses to identify the genomic regions involved in this trait. The present work has revealed new candidate genes involved in the phenotypic variability in local chicken populations. These results also contribute insights into the genetic basis for plumage color in poultry, and confirm the great complexity of the mechanisms that control this trait. Abstract Through the development of the high-throughput genotyping arrays, molecular markers and genes related to phenotypic traits have been identified in livestock species. In poultry, plumage color is a…

Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chicke…

2023

Abstract Background Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatures of selection in 23 local Italian chicken populations. The populations were categorized into four groups for comparative analysis based on live weight (heavy vs light) and geographical area (Northern vs Southern Italy). Putative signatures of selection were investigated by combining three extended haplotype homozygosity (EHH) statistical approaches to quantify excess of haplotype homoz…

Conservation status and historical relatedness of Italian cattle breeds

2018

Background In the last 50 years, the diversity of cattle breeds has experienced a severe contraction. However, in spite of the growing diffusion of cosmopolite specialized breeds, several local cattle breeds are still farmed in Italy. Genetic characterization of breeds represents an essential step to guide decisions in the management of farm animal genetic resources. The aim of this work was to provide a high-resolution representation of the genome-wide diversity and population structure of Italian local cattle breeds using a medium-density single nucleotide polymorphism (SNP) array. Results After quality control filtering, the dataset included 31,013 SNPs for 800 samples from 32 breeds. Ou…

The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Abstract Background Assessment of genetic diversity and population structure provides important control metrics to avoid genetic erosion, inbreeding depression and crossbreeding between exotic and locally-adapted cattle breeds since these events can have deleterious consequences and eventually lead to extinction. Historically, the Alpine Arc represents an important pocket of cattle biodiversity with a large number of autochthonous breeds that provide a fundamental source of income for the entire regional economy. By using genotype data from medium-density single nucleotide polymorphism (SNP) arrays, we performed a genome-wide comparative study of 23 cattle populations from the Alpine Arc an…

Genome-Wide SNP Analysis Reveals the Population Structure and the Conservation Status of 23 Italian Chicken Breeds

2020

The genomic variability of local Italian chicken breeds, which were monitored under a conservation plan, was studied using single nucleotide polymorphisms (SNPs) to understand their genetic diversity and population structure. A total of 582 samples from 23 local breeds and four commercial stocks were genotyped using the Affymetrix 600 K Chicken SNP Array. In general, the levels of genetic diversity, investigated through different approaches, were lowest in the local chicken breeds compared to those in the commercial stocks. The level of genomic inbreeding, based on runs of homozygosity (FROH), was markedly different among the breeds and ranged from 0.121 (Valdarnese) to 0.607 (Siciliana). I…

The genetics of phenotypic plasticity in livestock in the era of climate change: a review

2020

Climate change has the potential to adversely affect the health of livestock, with consequences to animal welfare, greenhouse gas emissions, productivity, human health and livelihoods. Phenotypic plasticity is the ability of a genotype to produce different phenotypes, depending on environmental, biotic or abiotic conditions; it is a factor influencing and modifying the genes of animal and plant organisms, to adaptation to climate change. Among the various climate variables, heat stress has been reported to be the most detrimental factor to the economy of the livestock industry. There are a number of candidate genes that are associated with adaptation of ruminants, monogastric and poultry to…

Genome-wide detection of signatures of selection in three Valdostana cattle populations

2020

International audience; The Valdostana is a local dual purpose cattle breed developed in Italy. Three populations are recognized within this breed, based on coat colour, production level, morphology and temperament: Valdostana Red Pied (VPR), Valdostana Black Pied (VPN) and Valdostana Chestnut (VCA). Here, we investigated putative genomic regions under selection among these three populations using the Bovine 50K SNP array by combining three different statistical methods based either on allele frequencies (F-ST) or extended haplotype homozygosity (iHS and Rsb). In total, 8, 5 and 8 chromosomes harbouring 13, 13 and 16 genomic regions potentially under selection were identified by at least tw…

High-density single nucleotide polymorphism markers reveal the population structure of 2 local chicken genetic resources

2023

Italy counts a large number of local chicken populations, some without a recognized genetic structure, such as Val Platani (VPL) and Cornuta (COS), which represent noteworthy local genetic resources. In this study, the genotype data of 34 COS and 42 VPL, obtained with the Affymetrix Axiom600KChicken Genotyping Array, were used with the aim to investigate the genetic diversity, the runs of homozygosity (ROH) pattern, as well as the population structure and relationship within the framework of other local Italian and commercial chickens. The genetic diversity indices, estimated using different approaches, displayed moderate levels of genetic diversity in both populations. The identified ROH h…

Genome-wide assessment of diversity and differentiation between original and modern Brown cattle populations

2020

Identifying genomic regions involved in the differences between breeds can provide information on genes that are under the influence of both artificial and natural selection. The aim of this study was to assess the genetic diversity and differentiation among four different Brown cattle populations (two original vs. two modern populations) and to characterize the distribution of runs of homozygosity (ROH) islands using the Illumina Bovine SNP50 BeadChip genotyping data. After quality control, 34 735 SNPs and 106 animals were retained for the analyses. Larger heterogeneity was highlighted for the original populations. Patterns of genetic differentiation, multidimensional scaling, and the neig…

Variance component estimation for SCS in different local breeds and species

2009

MOESM10 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 10: Figure S6. Scatter plot of correlations between genetic differentiation (FST) and geographical distances for all breeds.

MOESM4 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 4: Table S2. Pearson correlation coefficients between genetic diversity indices. Observed (Ho) and expected (He) heterozygosity, average minor allele frequency (MAF), inbreeding coefficient (FHOM), contemporary effective population size (cNe), mean ROH-based inbreeding coefficient (FROH>4Mb) and recent and historical Ne estimated 13 (Ne13), 20 (Ne_20 and 80 (Ne_80) generations ago. (* p- valueâ

MOESM7 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 7: Figure S4. Model-based clustering of the estimated membership fractions of individuals from the 32 breeds analyzed in each of the K inferred clusters revealed by the ADMIXTURE software (Kâ =â 12, 16, 20, 28, 32). For a full definition of breeds see Table S1 (see Additional file 2: Table S1).

Additional file 4 of The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Additional file 4: Table S2. Fixation indices (FST) between all pairs of breed populations analyzed in this study.

Additional file 1 of The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Additional file 1: Table S1. Name of the breeds, sample size, breed codes and source of genotyping data.

MOESM8 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 8: Figure S5. Cross-validation errors of admixture analysis at different K values.

MOESM12 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 12: Table S5. Results of the f4 test.

MOESM11 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 11: Table S4. Results of the f3 test.

Additional file 3 of The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Additional file 3: Figure S2. Admixture analysis plot in a circular fashion with all values of K (number of clusters) ranging from 2 to 28.

Additional file 5 of The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Additional file 5: Figure S3. Increment in the log likelihood for all tested migration events calculated by using the optM function in the R package OptM.

Additional file 2 of The genetic heritage of Alpine local cattle breeds using genomic SNP data

2020

Additional file 2: Figure S1. Cross-validation plot of admixture analysis for all values of K (number of clusters) ranging from 2 to 28.

MOESM5 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 5: Figure S2. Relationship between the number of ROH and the length of the genome (Mb) covered by ROH per individual.

MOESM9 of Conservation status and historical relatedness of Italian cattle breeds

2018

Additional file 9: Table S3. Pairwise FST values between cattle populations.