Genetic Diversity and Trait Association in Livestock Breeds

Genetic diversity underpins the resilience and productivity of global livestock populations by shaping their capacity to adapt to diverse environments and management regimes. Studies employing whole‐genome sequencing and high‐density genotyping arrays have revealed extensive variation both within and between breeds of cattle, sheep, goats and water buffalo, driven by domestication events, human‐mediated selection and historic gene flow. Trait association analyses—spanning genome‐wide association studies and quantitative trait locus mapping—have identified key loci governing milk yield, growth rate, coat colour, fertility and disease resistance. Introgression from wild relatives and interbreed crosses has contributed beneficial alleles for heat tolerance, immune function and reproductive performance, while selective sweeps highlight regions of the genome under strong artificial or environmental selection. Integrative approaches combining structural variant detection, runs of homozygosity and transcriptomic profiling are now clarifying the genetic architecture of complex traits, supporting precision breeding strategies. This body of work emphasises the need to conserve within‐breed diversity, harness favourable alleles and mitigate inbreeding depression to sustain livestock productivity in the face of climate change and evolving disease pressures.

Research from Nature Portfolio

Recent studies have characterised the global diversity and adaptation of indicine cattle through high‐coverage whole‐genome sequencing of multiple breeds. These analyses traced the coastal dispersal of zebu cattle into East Asia, revealed introgression from banteng and gaur, and pinpointed loci underlying morphology, immune response and heat tolerance. Distinct candidate variants were associated with adaptation to semi‐arid and humid tropical environments, providing a genomic basis for breeding resilient tropical herds.

Historic whole‐genome resequencing of Eurasian and East Asian cattle breeds has delineated five major continental lineages and identified three ancestries in China: early taurine, later Eurasian taurine and a novel indicine clade. Introgression events from banteng and yak lineages accounted for up to 3% of some genomes, facilitating rapid adaptation to hot, humid and high‐altitude environments. This work underscores the evolutionary impact of admixture on cattle fitness and the value of wild‐relative alleles in breeding.

Genetic Diversity and Trait Association in Livestock Breeds publication trend

The graph below shows the total number of articles in genetic diversity and trait association in livestock breeds across all publications each year (not limited to Nature Index journals).

Technical terms

Introgression: Transfer of genetic material from one population or species into another through hybridisation and backcrossing.

Selective sweep: Reduction of genetic variation around a beneficial allele due to strong positive selection.

Quantitative Trait Locus (QTL): Genomic region that contributes to variation in a measurable trait.

Structural variant (SV): Large genomic alteration such as deletion, insertion or inversion affecting chromosome structure.

Runs of homozygosity (ROH): Continuous stretches of homozygous genotypes indicating inbreeding or shared ancestry.

Genome‐wide association study (GWAS): Analysis linking common genetic variants across the genome to phenotypic traits.

References

1. Global genetic diversity, introgression, and evolutionary adaptation of indicine cattle revealed by whole genome sequencing. Nature Communications (2023).
2. Whole-genome resequencing reveals world-wide ancestry and adaptive introgression events of domesticated cattle in East Asia. Nature Communications (2018).
3. Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis). Advanced Science (2024).
4. Structural variant landscapes reveal convergent signatures of evolution in sheep and goats. Genome Biology (2024).