# Genomic insights into the recent evolution and biodiversity of Italian sheep breeds

## TL;DR

This study explores the genetic diversity and evolution of Italian sheep breeds using genomic data to inform conservation efforts.

## Contribution

The study integrates demographic and genomic analyses to reveal patterns of genetic variation, introgression, and local adaptation in Italian sheep.

## Key findings

- Most Italian sheep breeds are at risk of extinction due to demographic decline.
- Genomic regions with significant shifts were identified, linked to local adaptation and environmental changes.
- Admixture patterns in two breeds revealed genomic regions influenced by gene flow.

## Abstract

Italy hosts a remarkable ovine biodiversity shaped by centuries of history, regional traditions, and environmental heterogeneity. This diversity sustains agricultural production as well as ecosystem services and cultural heritage. Yet, many local breeds are undergoing severe demographic decline. To explore these dynamics, we analyzed census data from all registered Italian sheep, which revealed highly variable situations across breeds but confirmed that most are currently at risk of extinction. To complement this picture, we genotyped 34 Italian sheep populations using the Ovine50K BeadChip and compared them with foreign breeds with recognized herd books in Italy. Genomic analyses of diversity (including inbreeding and effective population size), population structure, and genomic background provided insights into the state of genetic variation and relationships among breeds, including patterns of introgression. By comparing these results with data from populations sampled twenty years ago, we assessed temporal changes in diversity, genomic background, and selection signatures. Fst analyses highlighted genomic regions that have undergone the most marked shifts, allowing us to explore associated genes and QTLs. Correlations between Fst and environmental changes across 20 variables further emphasized the role of local adaptation in shaping genomic landscapes. In addition, local ancestry inference in two breeds (Gentile di Puglia and Nera di Arbus) with evidence of recent admixture identified genomic regions influenced by gene flow. Overall, our study illustrates the complex evolutionary dynamics of Italian sheep breeds and underscores the importance of integrating demographic analyses with genomic tools to guide their conservation and sustainable management.

The online version contains supplementary material available at 10.1007/s00335-025-10170-8.