0000000000725736
AUTHOR
Alessandro Bagnato
Preselection statistics and Random Forest classification identify population informative single nucleotide polymorphisms in cosmopolitan and autochthonous cattle breeds
Commercial single nucleotide polymorphism (SNP) arrays have been recently developed for several species and can be used to identify informative markers to differentiate breeds or populations for several downstream applications. To identify the most discriminating genetic markers among thousands of genotyped SNPs, a few statistical approaches have been proposed. In this work, we compared several methods of SNPs preselection (Delta, F st and principal component analyses (PCA)) in addition to Random Forest classifications to analyse SNP data from six dairy cattle breeds, including cosmopolitan (Holstein, Brown and Simmental) and autochthonous Italian breeds raised in two different regions and …
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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…
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Additional file 6: Figure S3. Distribution of all ROH within breeds according to their size (kb).
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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.
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Additional file 3: Figure S1. Trends in historic effective population size (Ne) (from 13 to 98 generations).
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Additional file 1. Description of each Italian local cattle breed involved in this study [68].
Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep.
Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 C…
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Additional file 10: Figure S6. Scatter plot of correlations between genetic differentiation (FST) and geographical distances for all breeds.
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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
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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).
Conservation status and historical relatedness of Italian cattle breeds
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…
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Additional file 8: Figure S5. Cross-validation errors of admixture analysis at different K values.
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Additional file 12: Table S5. Results of the f4 test.
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Additional file 11: Table S4. Results of the f3 test.
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Additional file 5: Figure S2. Relationship between the number of ROH and the length of the genome (Mb) covered by ROH per individual.
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Additional file 9: Table S3. Pairwise FST values between cattle populations.