EventsThe 2nd International Online Conference on Veterinary Sciences
Published
This submission belongs to the session S2. Surveillance and Epidemiological Modelling at the Human–Animal–Environment Interface of the event The 2nd International Online Conference on Veterinary Sciences
Published date
02 Sep, 2026
Academic Editor
author-avatarFrancesco Mira
Citation
Muhammad Shahbaz Gul, zeeshan Ashraf, Sadia Bibi, Xing Feng, Genomic Surveillance of Reproductive and Adaptive Variation in Indigenous Sheep Populations for Sustainable Livestock Production at the Human Animal Environment Interface, in Proceedings of The 2nd International Online Conference on Veterinary Sciences, 7 September–9 September 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Genomic Surveillance of Reproductive and Adaptive Variation in Indigenous Sheep Populations for Sustainable Livestock Production at the Human Animal Environment Interface

image
image
1. College of Animal Science, Tarim University, Alar 843300, China
2. Key Laboratory of Tarim, Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Alar 843300, China
3. Department of Animal Science, College of Animal Science and Technology, Tarim University, Alar 843300, China
4. Key laboratory of Tarim, Life Science and Technology, Xinjiang Production and Construction Corps, Alar 843300, China.
Abstract

The indigenous sheep have valuable genetic resources to be utilized for sustainable livestock production in arid and harsh environments where productivity and food security rely on good reproductive performance, adaptability and disease resistance. Currently, however, genomic knowledge of local sheep populations is still limited, limiting the assessment of genetic diversity, the identification of variants related to economically important reproductive traits, and the development of evidence-based breeding and conservation strategies. This study introduces a novel framework for integrated genomic surveillance of indigenous sheep that integrates population genomics, reproductive phenotyping, environmental characterization and the One Health principles to assess reproductive and adaptive variation in the human–animal–environment interface.

It combines the genome-wide molecular information with standard reproductive records such as the number of lambs, fertility, interval, reproductive seasonality and reproductive resilience. Population structure, genetic diversity and differentiation and signatures of selection, as well as genomic inbreeding and runs of homozygosity, will be evaluated using principal component analysis, ancestry inference, homozygosity analysis and genome-wide selection scans. Genomic regions and candidate genes associated with reproductive performance, endocrine function, environmental adaptation and immune function will be identified through genome-wide association analysis. The results of these genome studies will be analyzed alongside key environmental factors, such as exposure to high temperatures, nutrient deficiency, water shortage, and local environmental conditions.

Such integration of genomic, reproductive and environmental data into a single analysis can help achieve the identification of resilient animals, precision breeding and reduce the loss of locally adapted genetic diversity. The proposed framework connects reproductive sustainability to animal health, ecosystem resilience, food security and conservation priorities, unlike traditional livestock genomics approaches. It thus serves as a practical basis for the creation of breeding and conservation programmes for indigenous sheep at a One Health approach.

Keywords
Sheep genomics
genomic surveillance
reproductive traits
indigenous sheep
genetic diversity
selection signatures
animal breeding
One Health
sustainable livestock production
Zoonotic pathogens in fallow deer (Dama dama) from Sicily (Southern Italy): implications for wildlife–livestock–human interface
Emerging and Re-Emerging Bluetongue Virus Serotypes in Indian Ruminants: A Systematic Review