Skip to main content

A new Approach for Accurate Detection of Chromosome Rearrangements That Affect Fertility in Cattle

Jennings, Rebecca, Griffin, Darren K., O’Connor, Rebecca (2020) A new Approach for Accurate Detection of Chromosome Rearrangements That Affect Fertility in Cattle. Animals, 10 (1). p. 114. ISSN 2076-2615. (doi:10.3390/ani10010114) (KAR id:79722)

PDF Publisher pdf
Language: English

Download (6MB) Preview
[thumbnail of Jennings et al 2020 Animals 10 114.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


Globally, cattle production has more than doubled since the 1960s, with widespread use of artificial insemination (AI) and an emphasis on a small pool of high genetic merit animals. Selecting AI bulls with optimal fertility is, therefore, vital, as impaired fertility reduces genetic gains and production, resulting in heavy financial and environmental losses. Chromosome translocations, particularly the 1;29 Robertsonian translocation, are a common cause of reduced fertility; however, reciprocal translocations are significantly underreported due to the difculties inherent in analysing cattle chromosomes. Based on our porcine work, we have developed an approach for the unambiguous detection of Robertsonian and reciprocal translocations, using a multiple-hybridization probe detection strategy. We applied this method on the chromosomes of 39 bulls, detecting heterozygous and homozygous 1;29 translocations and a 12;23 reciprocal translocation in a total of seven animals. Previously, karyotype analysis was the only method of diagnosing chromosomal rearrangements in cattle, and was time-consuming and error-prone. With calving rates of only 50–60%, it is vital to reduce further fertility loss in order to maximise productivity. The approach developed here identifies abnormalities that DNA sequencing will not, and has the potential to lead to long-term gains, delivering meat and milk products in a more cost-effective and environmentally-responsible manner to a growing population.

Item Type: Article
DOI/Identification number: 10.3390/ani10010114
Uncontrolled keywords: cattle, translocation, FISH, artificial insemination, subfertility, chromosome, genetics
Divisions: Divisions > Division of Natural Sciences > School of Biosciences
Depositing User: Susan Davies
Date Deposited: 23 Jan 2020 14:08 UTC
Last Modified: 23 Jan 2020 14:12 UTC
Resource URI: (The current URI for this page, for reference purposes)
Griffin, Darren K.:
O’Connor, Rebecca:
  • Depositors only (login required):


Downloads per month over past year