The genetic structure and diversity of smallholder dairy cattle in Rwanda

Abstract Previous genomic characterisation of Rwanda dairy cattle predominantly focused on the One Cow per Poor Family (locally called “Girinka”) programme. However, smallholder farmers in Rwanda have benefited from other livestock initiatives and development programmes. Capturing and documenting th...

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Main Authors: Oluyinka Opoola, Felicien Shumbusho, Innocent Rwamuhizi, Isidore Houaga, David Harvey, David Hambrook, Kellie Watson, Mizeck G. G. Chagunda, Raphael Mrode, Appolinaire Djikeng
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Language:English
Published: BMC 2025-05-01
Series:BMC Genomic Data
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Online Access:https://doi.org/10.1186/s12863-025-01323-4
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author Oluyinka Opoola
Felicien Shumbusho
Innocent Rwamuhizi
Isidore Houaga
David Harvey
David Hambrook
Kellie Watson
Mizeck G. G. Chagunda
Raphael Mrode
Appolinaire Djikeng
author_facet Oluyinka Opoola
Felicien Shumbusho
Innocent Rwamuhizi
Isidore Houaga
David Harvey
David Hambrook
Kellie Watson
Mizeck G. G. Chagunda
Raphael Mrode
Appolinaire Djikeng
author_sort Oluyinka Opoola
collection DOAJ
description Abstract Previous genomic characterisation of Rwanda dairy cattle predominantly focused on the One Cow per Poor Family (locally called “Girinka”) programme. However, smallholder farmers in Rwanda have benefited from other livestock initiatives and development programmes. Capturing and documenting the genetic diversity, is critical in part as a key contribution to genomic resource required to support dairy development in Rwanda. A total of 2,229 crossbred animals located in all dairy-producing regions of Rwanda were sampled. For each animal, a hair sample was collected and genotyped by using the Geneseek Genomic Profiler (GGP, Neogen Geneseek®) Bovine 50 K (n = 1,917) and GGP Bovine 100 K arrays (n = 312). The combined dataset was subject to quality control, data curation for use in population genetics and genomic analyses. To assess the genetic structure and diversity of the current population, key analyses for population structure were applied: Principal Component Analysis (PCA), population structure and diversity, admixture analysis, measures of heterozygosity, runs of homozygosity (ROH) and minor allelic frequency (MAF). A dataset of global dairy population of European taurine, African indicus and African taurus (n = 250) was used as reference. Results showed that Rwanda cattle population is highly admixed of diverse pure and crossbred animals with average MAF of 33% (standard error; se = 0.001) with proportion of foreign high yielding (taurine) dairy breeds of Jersey Island (18%); 12% non-Island Jersey and 42% Holstein-Friesian ancestries. Two African Bos taurus and five Bos indicus breeds contributed 28% of their genetics. Genetic distances were highest in Gir and N’dama (0.29); and Nelore and N’dama (0.29). There were 1,331 ROH regions and average heterozygosity were high for Rwanda cattle (0.41 se = 0.001). Asides well-established genes in cattle, we found evidence for a variety of novel and less-known genes under selection to be associated with fertility, milk production, innate immunity and environmental adaptation. This observed diversity offers opportunity to decipher the presence and/or lack of genetic variations to initiate short- and long-term breed improvement programmes for adaptation traits, disease resistance, heat tolerance, productivity and profitability of smallholder dairy systems in Rwanda.
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spelling doaj-art-cc0660896d4e4707b3122bd7d670f3042025-08-20T02:03:39ZengBMCBMC Genomic Data2730-68442025-05-0126111910.1186/s12863-025-01323-4The genetic structure and diversity of smallholder dairy cattle in RwandaOluyinka Opoola0Felicien Shumbusho1Innocent Rwamuhizi2Isidore Houaga3David Harvey4David Hambrook5Kellie Watson6Mizeck G. G. Chagunda7Raphael Mrode8Appolinaire Djikeng9Global Academy of Agriculture and Food Systems (GAAFS) and the Royal (Dick) School of Veterinary Studies (RDSVS), University of EdinburghRwanda Agriculture and Animal Resources Development Board (RAB)Rwanda Agriculture and Animal Resources Development Board (RAB)Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of EdinburghLand O’Lakes Venture37®Royal Jersey Agricultural & Horticultural Society (RJAHS)Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of EdinburghCentre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of EdinburghScotlands’ Rural College (SRUC)Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of EdinburghAbstract Previous genomic characterisation of Rwanda dairy cattle predominantly focused on the One Cow per Poor Family (locally called “Girinka”) programme. However, smallholder farmers in Rwanda have benefited from other livestock initiatives and development programmes. Capturing and documenting the genetic diversity, is critical in part as a key contribution to genomic resource required to support dairy development in Rwanda. A total of 2,229 crossbred animals located in all dairy-producing regions of Rwanda were sampled. For each animal, a hair sample was collected and genotyped by using the Geneseek Genomic Profiler (GGP, Neogen Geneseek®) Bovine 50 K (n = 1,917) and GGP Bovine 100 K arrays (n = 312). The combined dataset was subject to quality control, data curation for use in population genetics and genomic analyses. To assess the genetic structure and diversity of the current population, key analyses for population structure were applied: Principal Component Analysis (PCA), population structure and diversity, admixture analysis, measures of heterozygosity, runs of homozygosity (ROH) and minor allelic frequency (MAF). A dataset of global dairy population of European taurine, African indicus and African taurus (n = 250) was used as reference. Results showed that Rwanda cattle population is highly admixed of diverse pure and crossbred animals with average MAF of 33% (standard error; se = 0.001) with proportion of foreign high yielding (taurine) dairy breeds of Jersey Island (18%); 12% non-Island Jersey and 42% Holstein-Friesian ancestries. Two African Bos taurus and five Bos indicus breeds contributed 28% of their genetics. Genetic distances were highest in Gir and N’dama (0.29); and Nelore and N’dama (0.29). There were 1,331 ROH regions and average heterozygosity were high for Rwanda cattle (0.41 se = 0.001). Asides well-established genes in cattle, we found evidence for a variety of novel and less-known genes under selection to be associated with fertility, milk production, innate immunity and environmental adaptation. This observed diversity offers opportunity to decipher the presence and/or lack of genetic variations to initiate short- and long-term breed improvement programmes for adaptation traits, disease resistance, heat tolerance, productivity and profitability of smallholder dairy systems in Rwanda.https://doi.org/10.1186/s12863-025-01323-4SNP arraysRwanda population structureAdmixtureRuns of homozygositySmallholder dairy
spellingShingle Oluyinka Opoola
Felicien Shumbusho
Innocent Rwamuhizi
Isidore Houaga
David Harvey
David Hambrook
Kellie Watson
Mizeck G. G. Chagunda
Raphael Mrode
Appolinaire Djikeng
The genetic structure and diversity of smallholder dairy cattle in Rwanda
BMC Genomic Data
SNP arrays
Rwanda population structure
Admixture
Runs of homozygosity
Smallholder dairy
title The genetic structure and diversity of smallholder dairy cattle in Rwanda
title_full The genetic structure and diversity of smallholder dairy cattle in Rwanda
title_fullStr The genetic structure and diversity of smallholder dairy cattle in Rwanda
title_full_unstemmed The genetic structure and diversity of smallholder dairy cattle in Rwanda
title_short The genetic structure and diversity of smallholder dairy cattle in Rwanda
title_sort genetic structure and diversity of smallholder dairy cattle in rwanda
topic SNP arrays
Rwanda population structure
Admixture
Runs of homozygosity
Smallholder dairy
url https://doi.org/10.1186/s12863-025-01323-4
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