Evidence map›Paper›PMID 40884803›Full record

ArticleGigaScience2025

A comprehensive water buffalo pangenome reveals extensive structural variation linked to population-specific signatures of selection.

Fazeela Arshad, Siddharth Jayaraman, Andrea Talenti, Rachel Owen, Muhammad Mohsin, Shahid Mansoor, Muhammad Asif, James Prendergast

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Article in GigaScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fazeela ArshadThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.ORCID 0000-0002-9149-2199
Siddharth JayaramanThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.ORCID 0000-0003-1524-2232
Andrea TalentiThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.ORCID 0000-0003-1309-3667
Rachel OwenThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.ORCID 0000-0001-6441-2213
Muhammad MohsinAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Shahid MansoorJamil ur Rehman Centre for Genome Research, International Centre for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.ORCID 0000-0001-7418-1826
Muhammad AsifAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.ORCID 0000-0001-8508-903X
James PrendergastThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.ORCID 0000-0001-8916-018X

Funding

Biotechnology and Biological Sciences Research Council BBS/E/RL/230001ABiotechnology and Biological Sciences Research Council BB/T019468/1Commonwealth Scholarship Commission
6 · The paper itself

Abstract

backgroundWater 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 subspecies (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.

resultsWe present a comprehensive pangenome that integrates 4 newly generated, highly contiguous assemblies of Pakistani river buffalo with 8 publicly available assemblies from both subspecies. This doubles the number of accessible high-quality river buffalo genomes and provides the most contiguous assemblies for the subspecies 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.

conclusionsThis 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, as well as the pangenome and putative functional structural variants we have released, will accelerate efforts to unlock water buffalo's genetic potential, improving productivity and resilience in this economically important species.

Indexed as

BuffaloesGenetic VariationGenomeGenomicsSelection, GeneticAnimalsGenetics, PopulationAzikheligenome assemblyNili-RaviPakistani river buffalopangenomestructural variationwater buffalo

Identifiers

PMID40884803
PMCPMC12398277

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.