0000000001313992
AUTHOR
Filippo Cendron
showing 10 related works from this author
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…
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…
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.
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.