Detecting chromosomal rearrangements in boars using Hi-C.

Frances Burden, Claudia Rathje, Peter Ellis, Justin Holl, Craig R G Lewis, Marta Farré

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Article in Animal genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Frances BurdenSchool of Natural Sciences, University of Kent, Canterbury, UK.ORCID https://orcid.org/0000-0001-6266-1304

Claudia RathjeSchool of Natural Sciences, University of Kent, Canterbury, UK.

Peter EllisSchool of Natural Sciences, University of Kent, Canterbury, UK.ORCID https://orcid.org/0000-0001-9709-7934

Justin HollThe Pig Improvement Company, Genus Plc, Hendersonville, Tennessee, USA.

Craig R G LewisPIC Europe, Sant Cugat del Valles, Barcelona, Spain.

Marta FarréSchool of Natural Sciences, University of Kent, Canterbury, UK.ORCID https://orcid.org/0000-0001-9170-5767

Funding

Biotechnology and Biological Sciences Research Council BB/X511158/1

6 · The paper itself

Abstract

A chromosomal rearrangement such as a reciprocal translocation (RT) in a breeding boar can produce unbalanced gametes during meiosis, leading to a decreased litter size with detrimental economic implications for breeders. FISH and standard karyotyping are currently used to detect RTs, but a fresh sample is required, limiting the shipping conditions. Here, we investigated Hi-C as an alternative technique to diagnose chromosome rearrangements. We show that Hi-C can be used to detect such RTs from either a fresh or a frozen blood sample and therefore this technique represents an alternative to FISH for RT detection.

Indexed as

Sus scrofaTranslocation, GeneticAnimalsIn Situ Hybridization, FluorescenceKaryotypingMaleboarchromosomal rearrangementFISHHi‐Creciprocal translocation

Identifiers

PMID40183213

DOI10.1111/age.70009

PMCPMC11969421

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LicenceCC BY

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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.