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. 2018 Jun 26;50(1):35.
doi: 10.1186/s12711-018-0406-x.

Conservation status and historical relatedness of Italian cattle breeds

Affiliations

Conservation status and historical relatedness of Italian cattle breeds

Salvatore Mastrangelo et al. Genet Sel Evol. .

Abstract

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. Our results on the genetic diversity of these breeds agree largely with their recorded history. We observed a low level of genetic diversity, which together with the small size of the effective populations, confirmed that several breeds are threatened with extinction. According to the analysis of runs of homozygosity, evidence of recent inbreeding was strong in some local breeds, such as Garfagnina, Mucca Pisana and Pontremolese. Patterns of genetic differentiation, shared ancestry, admixture events, and the phylogenetic tree, all suggest the presence of gene flow, in particular among breeds that originate from the same geographical area, such as the Sicilian breeds. In spite of the complex admixture events that most Italian cattle breeds have experienced, they have preserved distinctive characteristics and can be clearly discriminated, which is probably due to differences in genetic origin, environment, genetic isolation and inbreeding.

Conclusions: This study is the first exhaustive genome-wide analysis of the diversity of Italian cattle breeds. The results are of significant importance because they will help design and implement conservation strategies. Indeed, efforts to maintain genetic diversity in these breeds are needed. Improvement of systems to record and monitor inbreeding in these breeds may contribute to their in situ conservation and, in view of this, the availability of genomic data is a fundamental resource.

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Figures

Fig. 1
Fig. 1
Geographic origin of the analyzed local Italian cattle breeds. Northern (green), Northern-central (orange), Podolian-derived (red) and Southern and islands (blue) breeds. For full definition of breeds (see Additional file 2: Table S1)
Fig. 2
Fig. 2
Box plot of the inbreeding coefficients inferred from runs of homozygosity (FROH) defined by different minimum ROH lengths (> 4, > 8 and > 16 Mb) for each cattle population according to their geographical distributions. Northern (green), Northern-central (orange), Podolian-derived (red), Southern and islands (blue), and commercial (violet) breeds. For a full definition of breeds (see Additional file 2: Table S1)
Fig. 3
Fig. 3
Genetic relationships based on the multidimensional scaling analysis between the analyzed cattle breeds. Points and symbols are colored based on the geographic origin of breeds; the colors are the same as those described in Fig. 2. The first two components, C1 and C2, accounted for 14 and 11%, respectively of the total variation
Fig. 4
Fig. 4
Model-based clustering of the estimated membership fractions of individuals from the 32 breeds analyzed in each of the K inferred clusters (K = 2, 4, 8 and 24). Names of breeds are colored according to their geographical distributions as described in Fig. 2. For a full definition of breeds (see Additional file 2: Table S1)
Fig. 5
Fig. 5
Relationship between breeds based on the Reynold’s genetic distance. An allele frequency-dependent distance metric (Reynolds) was used to construct a Neighbor-Net graph that relates the breeds. Names of breeds are colored according to their geographical distributions as described in Fig. 2. For a full definition of breeds (see Additional file 2: Table S1)
Fig. 6
Fig. 6
Maximum likelihood tree inferred from 32 cattle breeds when eight migration events are allowed. Migration arrows are colored according to their weight. Name of breeds are colored according to their geographical distributions as described in Fig. 2. For a full definition of breeds (see Additional file 2: Table S1)

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