A comprehensive water buffalo pangenome reveals extensive structural variation linked to population specific signatures of selection
Arshad, F.; Jayaraman, S.; Talenti, A.; Owen, R.; Mohsin, M.; Mansoor, S.; Asif, M.; Prendergast, J. G.
Show abstract
Water buffalo is a cornerstone livestock species in many low- and middle-income countries, yet major gaps persist in its genomic characterization--complicated by the divergent karyotypes of its two sub-species (swamp and river). Such genomic complexity makes water buffalo a particularly good candidate for the use of graph genomics, which can capture variation missed by linear reference approaches. However, the utility of this approach to improve water buffalo has been largely unexplored. We present a comprehensive pangenome that integrates four newly generated, highly contiguous assemblies of Pakistani river buffalo with available assemblies from both sub- species. This doubles the number of accessible high-quality river buffalo genomes and provides the most contiguous assemblies for the sub-species to date. Using the pangenome to assay variation across 711 global samples, we uncovered extensive genomic diversity, including thousands of large structural variants absent from the reference genome, spanning over 140 Mb of additional sequence. We demonstrate the utility of these data by identifying putative functional indels and structural variants linked to selective sweeps in key genes involved in productivity and immune response across 26 populations. This study represents one of the first successful applications of graph genomics in water buffalo and offers valuable insights into how integrating assemblies can transform analyses of water buffalo and other species with complex evolutionary histories. We anticipate that these assemblies, and the pangenome and putative functional structural variants we have released, will accelerate efforts to unlock water buffalos genetic potential, improving productivity and resilience in this economically important species.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Chromosome-length genome assembly and structural variations of the primal Basenji dog (Canis lupus familiaris) genome 96%
- Fine-Tuning GBS Data with Comparison of Reference and Mock Genome Approaches for Advancing Genomic Selection in Less Studied Farmed Species 95%
- Mitogenome sequences of domestic cats demonstrate lineage expansions and dynamic mutation processes in a mitochondrial minisatellite 94%
Similar papers in this journal
- A genome-wide epistatic network underlies the molecular architecture of continuous color variation of body extremities: a rabbit model 94%
- Development and validation of a combined species SNP array for the European seabass (Dicentrarchus labrax) and gilthead seabream (Sparus aurata) 93%
- The salmon louse genome: copepod features and parasitic adaptations. 93%
Similar papers in this journal
- The first Antechinus reference genome provides a resource for investigating the genetic basis of semelparity and age-related neuropathologies 95%
- A reference genome for the critically endangered woylie, Bettongia penicillata ogilbyi 95%
- De novo chromosome-length assembly of the mule deer (Odocoileus hemionus) genome 95%
Similar papers in this journal
- Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex-predation 96%
- Chromosome-level genome assembly for the Aldabra giant tortoise enables insights into the genetic health of a threatened population 95%
- Accurate assembly of the olive baboon (Papio anubis) genome using long-read and Hi-C data 94%
Similar papers in this journal
- Genomic analyses of Asiatic Mouflon in Iran provide insights into the domestication and evolution of sheep 95%
- A 1-bp deletion in bovine QRICH2 causes low sperm count and immotile sperm with multiple morphological abnormalities 94%
- Non-additive QTL mapping of lactation traits in 124,000 sequence-imputed cattle reveals novel recessive loci 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.